DKRZ
DKRZ
Publications about projects at DKRZ
1346: Deep-time large scale circulation patterns
DOI: 10.1029/2022PA004607,
Kelemen, F. D., Steinig, S., de Boer, A., Zhu, J., Chan, W.-L., Niezgodzki, I., Hutchinson, D. K., Knorr, G., Abe-Ouchi, A., Ahrens, B., (2023). Meridional heat transport in the DeepMIP Eocene ensemble: Non-CO2 and CO2 effects. Paleoceanography and Paleoclimatology, 38, e2022PA004607.
1340: Long-term simulations with improved and extended REMO versions
Abel, D., Ziegler, K., Gbode, I.E., Weber, T., Ajayi, V.O., Traoré, S.B. and Paeth, H. (2023): Robustness of climate indices relevant for agriculture in Africa deduced from GCMs and RCMs against reanalysis and gridded observations. – In: Climate Dmanics, in press.
DOI: 10.1016/j.wace.2023.100620,
Bangelesa, F., Abel, D., Pollinger, F., Rai, P., Ziegler, K., Ebengo, D., Tshimanga, R.M., Mapatamo, M.A., Knight, J. and Paeth, H. (2023): Projected changes in rainfall amount and distribution in the Demo-cratic Republic of Congo – evidence from an ensemble of high-resolution climate simulations. – In: Weather and Climate Extremes 42, 100620, doi:10.1016/j.wace.2023.100620.
Bangelesa, F., Pollinger, F., Sponholz, B., Mapatano, M.A., Hatløy, A. and Paeth, H. (2023): Statistical-dynamical modelling of the maize yield response to future climate change in West, East and Central Africa using the regional climate model REMO. – In: Science of the Total Environment, in press.
Libanda, B. and Paeth, H. (2023): Future photovoltaic solar power resources in Zambia: a CORDEX-CORE multi-model synthesis. – In: Meteorology and Atmospheric Physics, in press.
1320: Passive and active microwave forward simulations for Arcticapplications
DOI: 10.5194/egusphere-2023-261,
Lauer, M., Rinke, A., Gorodetskaya, I., Sprenger, M., Mech, M., and Crewell, S.: Influence of atmospheric rivers and associated weather systems on precipitation in the Arctic, EGUsphere, 1–32, https://doi.org/10.5194/egusphere-2023-261, 2023.
DOI: 10.1038/s41597-022-01900-7,
Mech, M., Ehrlich, A., Herber, A., Lüpkes, C., Wendisch, M., Becker, S., Boose, Y., Chechin, D., Crewell, S., Dupuy, R., Gourbeyre, C., Hartmann, J., Jäkel, E., Jourdan, O., Kliesch, L.-L., Klingebiel, M., Kulla, B. S., Mioche, G., Moser, M., Risse, N., Ruiz-Donoso, E., Schäfer, M., Stapf, J., and Voigt, C.: MOSAiC-ACA and AFLUX - Arctic airborne campaigns characterizing the exit area of MOSAiC, Sci Data, 9, 790, https://doi.org/10.1038/s41597-022-01900-7, 2022.
DOI: 10.5194/egusphere-2023-636,
Schirmacher, I., Kollias, P., Lamer, K., Mech, M., Pfitzenmaier, L., Wendisch, M., and Crewell, S.: Assessing Arctic low-level clouds and precipitation from above - a radar perspective, EGUsphere, 1–30, https://doi.org/10.5194/egusphere-2023-636, 2023.
1319: Assessing the carbon sink potential, climatic limits and impacts of artificial photosynthesis (CITRONE)
DOI: 10.5194/egusphere-egu23-10553,
Samanta, A., Adam, M., May, M. M., and Rehfeld, K.: Comparing the effects of large scale solar farms on climate and regional surface energy budget in different climate models, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-10553, https://doi.org/10.5194/egusphere-egu23-10553, 2023.
DOI: 10.5194/egusphere-egu23-6584,
Adam, M., May, M. M., Kleinen, T., Samanta, A., and Rehfeld, K.: Consequences of the spatial configuration of Carbon Dioxide Removal for its potential to withdraw atmospheric CO2, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-6584, https://doi.org/10.5194/egusphere-egu23-6584, 2023.
1318: CLINT - climate intelligence
DOI: 10.5194/egusphere-egu23-13196,
Witte, M., Filippou, D., Plésiat, É., Meuer, J., Thiemann, H., Hall, D., Ludwig, T., and Kadow, C.: From Super-Resolution to Downscaling - An Image-Inpainting Deep Neural Network for High Resolution Weather and Climate Models, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-13196, https://doi.org/10.5194/egusphere-egu23-13196, 2023
DOI: 10.5194/egusphere-egu23-13507,
Plésiat, É., Dunn, R., Donat, M., Morice, C., Ludwig, T., Thiemann, H., and Kadow, C.: Using Artificial Intelligence to Reconstruct Missing Climate Data In Extreme Events Datasets, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-13507, https://doi.org/10.5194/egusphere-egu23-13507, 2023
DOI: 10.5194/egusphere-egu23-8419,
Dainelli, F., Taormina, R., Ascenso, G., Scoccimarro, E., Giuliani, M., and Castelletti, A.: Synthetic Generation of Extra-Tropical Cyclones’ fields with Generative Adversarial Networks, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-8419, https://doi.org/10.5194/egusphere-egu23-8419, 2023
1315: CoastalFutures
DOI: 10.1038/s41598-022-22868-9,
Akhtar, N., Geyer, B. & Schrum, C. Impacts of accelerating deployment of offshore windfarms on near-surface climate. Sci Rep 12, 18307 (2022). https://doi.org/10.1038/s41598-022-22868-9
DOI: 10.1038/s43247-022-00625-0,
Daewel, U., Akhtar, N., Christiansen, N. et al. Offshore wind farms are projected to impact primary production and bottom water deoxygenation in the North Sea. Commun Earth Environ 3, 292 (2022). https://doi.org/10.1038/s43247-022-00625-0
DOI: 10.1038/s41598-021-91283-3,
Akhtar, N., Geyer, B., Rockel, B. et al. Accelerating deployment of offshore wind energy alter wind climate and reduce future power generation potentials. Sci Rep 11, 11826 (2021). https://doi.org/10.1038/s41598-021-91283-3
DOI: 10.3389/fmars.2022.818501,
Christiansen N, Daewel U, Djath B and Schrum C (2022) Emergence of Large-Scale Hydrodynamic Structures Due to Atmospheric Offshore Wind Farm Wakes. Front. Mar. Sci. 9:818501. doi: 10.3389/fmars.2022.818501
1300: urbisphere — coupling dynamic cities and climate
DOI: 10.5281/zenodo.4902248,
Metzger, Swen[1,2], Feigel, Gregor[1], Steil, Benedikt[3], Rémy, Samuel[4], Christen, Andreas[1], & Grimmond, Sue[5]. (2021). On the influence of aerosol hygroscopic growth on meteorology using model data — from global to urban scales. Zenodo. https://doi.org/10.5281/zenodo.4902248
1266: Interne Variabilität in Randmeeren
DOI: 10.1016/j.dynatmoce.2022.101301,
Lin et al., 2022 Lin, L.; von Storch, H.; Guo, D.; Tang, S.; Zheng, P. & Chen, X. The effect of tides on internal variability in the Bohai and Yellow Sea Dynamics of Atmospheres and Oceans, 2022, 98, 101301
Lin L., H. von Storch and X Chen: Seeding noise in ensembles of marginal sea simulations – the case of Bo Hai and Yellow Sea" accepted for for publication in Advances in Computer and Communication
Lin L., H. von Storch and X Chen: "Understanding a numerical experiment guided by the Stochastic Climate Model", Communication Earth & Environment, in review.
1264: Storyline simulations of extreme events with spectral nudging
DOI: 10.1175/JCLI-D-21-0573.1,
Sánchez-Benítez, A., Goessling, H., Pithan, F., Semmler, T., & Jung, T. (2022). The July 2019 European Heat Wave in a Warmer Climate: Storyline Scenarios with a Coupled Model Using Spectral Nudging. Journal of Climate, 35(8), 2373-2390.
DOI: 10.5194/egusphere-2022-706,
Pithan, F., Athanase, M., Dahlke, S., Sánchez-Benítez, A., Shupe, M. D., Sledd, A., Streffing, J., Svensson, G., and Jung, T.: Nudging allows direct evaluation of coupled climate models with in-situ observations: A case study from the MOSAiC expedition, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2022-706, 2022
1257: Daily air quality forecasts for São Paulo
DOI: 10.1002/essoar.10512847.2,
Intercomparison of air quality models in a megacity: Towards an operational ensemble forecasting system for São Paulo
1255: ESM2025
Chegini, F., Ramme, L., Maerz, J., Casaroli L., Nielsen, D., H ̈ulse, D., Ilyina, T., ”The HAMburg Ocean Carbon Cycle model in ICON: Lessons learnt from tuning ocean biogeochemistry in a newly developed model”, (Presentation, ESM2025 General Assembly)
H ̈ulse, D., van de Velde, S., Pika, P., Bradley, J., Dale, A., and Arndt, S. ”Global budgets of organic carbon degradation pathways in marine sediments”, (Poster, ESM2025 General Assembly)
D. H¨ulse, K. Six, D. Burt, L. Ramme, F. Chegini, T. Ilyina, ”An extended N cycle in the eddy- permitting global ocean model ICON-O”, EGU 2023.
1253: Investigating feedbacks between atmospheric convection and near surface processes in the ocean
DOI: 10.1029/2022JD038473,
Shevchenko, R., Hohenegger, C., & Schmitt, M. (2023). Impact of diurnal warm layers on atmospheric convection. Journal of Geophysical Research: Atmospheres, 128, e2022JD038473. https://doi.org/10.1029/2022JD038473
1244: APOC - Anthropogenic impacts on particulate organic carbon cycling in the North Sea
DOI: 10.5194/egusphere-egu22-13116,
Porz, L., Yilmaz, R., Kossack, J., Zhang, W., and Schrum, C.: Modeling the impacts of bottom trawling on the sediment and particulate organic carbon distribution of the North Sea, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-13116, https://doi.org/10.5194/egusphere-egu22-13116, 2022.
Porz, L., Zhang, W., und Schrum, C., 2022: Verändert Grundschleppnetzfischerei den Sediment- und Kohlenstoffhaushalt der Nordsee? 31. Meeresumwelt-Symposium, 18./19. Mai 2022, Hamburg.
DOI: 10.22541/essoar.167578408.84551876/v1,
Wenyan Zhang, Lucas Porz, Rümeysa Yilmaz, et al. Impact of bottom trawling on long-term carbon sequestration in shelf sea sediments. ESS Open Archive. February 07, 2023.
DOI: 10.21203/rs.3.rs-3313118/v1,
Wenyan Zhang, Lucas Porz, Rümeysa Yilmaz et al. Intense and persistent bottom trawling impairs long-term carbon storage in shelf sea sediments, 07 September 2023, PREPRINT (Version 1) available at Research Square
1243: Green CORDEX Central Asia
DOI: 10.5194/cp-18-895-2022,
Russo, E., Fallah, B., Ludwig, P., Karremann, M., and Raible, C. C.: The long-standing dilemma of European summer temperatures at the mid-Holocene and other considerations on learning from the past for the future using a regional climate model, Clim. Past, 18, 895–909, https://doi.org/10.5194/cp-18-895-2022, 2022.
1241: Carbon Dioxide Removal
DOI: submitted in Nature Climate Change,
Y. Moustakis, T. Nützel, HW. Wey, J. Pongratz, "Ambitious forestation can mitigate temperature overshoot", (2023)
DOI: in prep for na,
Egerer, S., Falk, S., Mayer, D., Nützel, T., Obermaier, W.A., Pongratz, J.: How to measure the effectiveness of terrestrial carbon dioxide removal methods?
DOI: Oral presentation at WCRP,
World Climate Research Program, Open Science Conference 2023, Kigali, Rwanda: Y. Moustakis, HW. Wey, T. Nützel, A. Oschlies, J. Pongratz, "Earth System impacts of the deployment of large-scale land- and ocean-based Carbon Dioxide Removal portfolios?"
DOI: Oral presentation at DPG spring meeting,
DPG Frühjahrstagung in Dresden, Deutschland: S. Falk for the STEPSEC team, "STEPSEC - Update und erste Ergebnisse"
DOI: Poster presentation at EGU,
EGU 2023, Vienna Austria: Egerer, S., Falk, S., Mayer, D., Nützel, T., Obermaier, W.A., Pongratz, J.: How to measure the effectiveness of terrestrial carbon dioxide removal methods?
DOI: Poster presentation at SCSS 2023,
Swiss Climate Summer School 2023, Ascona, Switzerland: Nützel, T., Egerer, S., Mathesius, S., Krause, J., Bampoh, D., Falk, S., Obermeier, W., Gerten, D., Pongratz, J., "Temporal dynamics of terrestrial carbon dioxide removal"
1240: Potentials and vulnerabilities of future terrestrial carbon sinks under different pathways
DOI: 10.1038/s41467-022-32456-0,
Bultan, S., Nabel, J.E.M.S., Hartung, K. et al. Tracking 21st century anthropogenic and natural carbon fluxes through model-data integration. Nat Commun 13, 5516 (2022).
DOI: 10.1038/s41467-022-32456-0,
Bultan, S., Nabel, J.E.M.S., Hartung, K. et al. Tracking 21st century anthropogenic and natural carbon fluxes through model-data integration. Nat Commun 13, 5516 (2022).
1239: Collaborative Research Centre (CRC) “TRR 181” sub-project S2: Improved Parameterizations and Numerics in Climate Models
DOI: 10.1007/s10236-023-01568-6,
Ssebandeke, J.; von Storch, J.-S. & Brüggemann, N. Sensitivity of the Lorenz energy cycle of the global ocean Ocean Dynamics, 2023
1238: Middle atmosphere localized gravity wave forcing: Formation, impact and long-term evolution
DOI: 10.5194/acp-23-3799-2023,
Karami, K., R. Garcia, Ch. Jacobi, J. H. Richter, and S. Tilmes, 2023: The Holton-Tan mechanism under stratospheric aerosol intervention, Atmos. Chem. Phys., 23, 3799–3818, https://doi.org/10.5194/acp-23-3799-2023.
DOI: 10.1029/2022JD037907,
Karami, K., Borchert, S., Eichinger, R., Jacobi, C., Kuchar, A., Mehrdad, S., Pisoft, P. and Sacha, P., The climatology of elevated stratopause events in the UA-ICON model and the contribution of gravity waves. J. Geophys. Res. Atmos., 28, e2022JD037907, doi:10.1029/2022JD037907, 2023
DOI: 10.1016/j.jastp.2022.105967,
Karami K., S. Mehrdad, and Ch. Jacobi, 2022: Response of the resolved planetary wave activity and amplitude to turned off gravity waves in the UA-ICON general circulation model, J. Atmos. Sol.-Terr. Phys., 241, 105967, https://doi.org/10.1016/j.jastp.2022.105967
1236: Q-ARCTIC
DOI: 10.1038/s41558-023-01715-3,
de Vrese, P., Beckebanze, L., Galera, L.d.A. et al. Sensitivity of Arctic CH4 emissions to landscape wetness diminished by atmospheric feedbacks. Nat. Clim. Chang. 13, 832–839 (2023). https://doi.org/10.1038/s41558-023-01715-3
DOI: 10.5194/tc-17-2095-2023,
de Vrese, P., Georgievski, G., Gonzalez Rouco, J. F., Notz, D., Stacke, T., Steinert, N. J., Wilkenskjeld, S., and Brovkin, V.: Representation of soil hydrology in permafrost regions may explain large part of inter-model spread in simulated Arctic and subarctic climate, The Cryosphere, 17, 2095–2118, https://doi.org/10.5194/tc-17-2095-2023, 2023.
1235: NextGEMS
Segura, H., C. Hohenegger, C. Wengel, B. Stevens, 2022. Learning by doing: seasonal and diurnal features of tropical precipitation in a global-coupled storm-resolving model, submitted to Geophysical Research Letters
DOI: 10.16993/tellusa.54,
Mauritsen, T., Redler, R., Esch, M., Stevens, B., Hohenegger, C., Klocke, D., Brokopf, R., Haak, H., Linardakis, L., Röber, N. and Schnur, R., 2022. Early Development and Tuning of a Global Coupled Cloud Resolving Model, and its Fast Response to Increasing CO2. Tellus A: Dynamic Meteorology and Oceanography, 74(1), pp.346–363. http://doi.org/10.16993/tellusa.54
DOI: 10.1038/s41558-022-01386-6,
Hewitt, H., Fox-Kemper, B., Pearson, B., Roberts, M. and Klocke, D., 2022. The small scales of the ocean may hold the key to surprises. Nature Climate Change, 12(6), pp.496-499. https://www.nature.com/articles/s41558-022-01386-6
DOI: 10.5194/gmd-2022-171,
Hohenegger, C., Korn, P., Linardakis, L. et al. (2022): ICON-Sapphire: simulating the components of the Earth System and their interactions at kilometer and subkilometer scales, Geosci. Model Dev. Discuss. [preprint], https://doi.org/10.5194/gmd-2022-171, in review.
DOI: 10.1029/2021JC018075,
Gutjahr, O., Jungclaus, J. H., Brüggemann, N., Haak, H., and Marotzke, J. (2022). Air-Sea Interactions and Water Mass Transformation During a Katabatic Storm in the Irminger Sea, Journal of Geophysical Research: Oceans, 127, e2021JC018075
DOI: 10.1175/JAS-D-22-0028.1,
Wacławczyk, M., J. L. Nowak, H. Siebert, and S. P. Malinowski (2022). “Detecting Nonequilibrium States in Atmospheric Turbulence”. In: Journal of the Atmospheric Sciences 79.10, pp. 2757–2772. DOI: 10.1175/JAS-D-22-0028.1.
DOI: 10.1029/2022gl100075,
Uribe, A., F. A.-M. Bender, and T. Mauritsen (2022). “Observed and CMIP6 Modeled Internal Variability Feedbacks and Their Relation to Forced Climate Feedbacks”. In: Geophysical Research Letters 49.24. DOI: 10.1029/2022gl100075.
DOI: 10.1038/s41558-022-01415-4,
Williams, A. I. L., P. Stier, G. Dagan, and D. Watson-Parris (2022). “Strong control of effective radiative forcing by the spatial pattern of absorbing aerosol”. In: Nature Climate Change 12.8, pp. 735–742. DOI: 10.1038/s41558-022-01415-4.
DOI: 10.1029/2022gl099325,
Heukamp, F. O., P. Brandt, M. Dengler, F. P. Tuchen, M. J. McPhaden, and J. N. Moum (2022). “Tropical Instability Waves and Wind-Forced Cross-Equatorial Flow in the Central Atlantic Ocean”. In: Geo- physical Research Letters 49.19. DOI: 10.1029/2022gl099325.
DOI: 10.5194/gmd-16-779-2023,
Hohenegger, C., P. Korn, L. Linardakis, R. Redler, R. Schnur, P. Adamidis, J. Bao, S. Bastin, M. Behravesh, M. Bergemann, J. Biercamp, H. Bockelmann, R. Brokopf, N. Brüggemann, L. Casaroli, F. Chegini, G. Datseris, M. Esch, G. George, M. Giorgetta, O. Gutjahr, H. Haak, M. Hanke, T. Ilyina, T. Jahns, J. Jungclaus, M. Kern, D. Klocke, L. Kluft, T. Kölling, L. Kornblueh, S. Kosukhin, C. Kroll, J. Lee, T. Mauritsen, C. Mehlmann, T. Mieslinger, A. K. Naumann, L. Paccini, A. Peinado, D. S. Praturi, D. Putrasahan, S. Rast, T. Riddick, N. Roeber, H. Schmidt, U. Schulzweida, F. Schütte, H. Segura, R. Shevchenko, V. Singh, M. Specht, C. C. Stephan, J.-S. von Storch, R. Vogel, C. Wengel, M. Winkler, F. Ziemen, J. Marotzke, and B. Stevens (2023). “ICON-Sapphire: simulating the components of the Earth system and their interactions at kilometer and subkilometer scales”. In: Geoscientific Model Development 16.2, pp. 779–811. DOI: 10.5194/gmd-16-779-2023.
DOI: doi://10.1029/2022ms003249,
Dingley, B., G. Dagan, P. Stier, and R. Herbert (2023). “The Impact of a Land-Sea Contrast on Convective Aggregation in Radiative-Convective Equilibrium”. In: Journal of Advances in Modeling Earth Systems 15.4. DOI: 10.1029/2022ms003249.
DOI: doi://10.16993/tellusa.96,
Ekblom, M., L. Tuppi, O. Räty, P. Ollinaho, M. Laine, and H. Järvinen (2023). “Filter Likelihood as an Observation-Based Verification Metric in Ensemble Forecasting”. In: Tellus A: Dynamic Meteorology and Oceanography 75.1, pp. 69–87. DOI: 10.16993/tellusa.96.
DOI: doi://10.1029/2021gl095464,
González-Alemán, J. J., C. M. Grams, B. Ayarzagüena, P. Zurita-Gotor, D. I. V. Domeisen, I. Gómara, B. Rodrı́guez-Fonseca, and F. Vitart (2022). “Tropospheric Role in the Predictability of the Surface Impact of the 2018 Sudden Stratospheric Warming Event”. In: Geophysical Research Letters 49.1. DOI: 10.1029/2021gl095464.
DOI: 10.1029/2021jc018075,
Gutjahr, O., J. H. Jungclaus, N. Brüggemann, H. Haak, and J. Marotzke (2022). “Air-Sea Interactions and Water Mass Transformation During a Katabatic Storm in the Irminger Sea”. In: Journal of Geophysical Research: Oceans 127.5. DOI: 10.1029/2021jc018075.
DOI: 10.1038/s41558-022-01383-9,
Hermwille, L., S. Lechtenböhmer, M. Åhman, H. van Asselt, C. Bataille, S. Kronshage, A. Tönjes, M. Fischedick, S. Oberthür, A. Garg, C. Hall, P. Jochem, C. Schneider, R. Cui, W. Obergassel, P. Fragkos, S. S. Vishwanathan, and H. Trollip (2022). “A climate club to decarbonize the global steel industry”. In: Nature Climate Change 12.6, pp. 494–496. DOI: 10.1038/s41558-022-01383-9.
DOI: 10.1029/2022gl101184,
Huusko, L., A. Modak, and T. Mauritsen (2022). “Stronger Response to the Aerosol Indirect Effect Due To Cooling in Remote Regions”. In: Geophysical Research Letters 49.21. DOI: 10.1029/2022gl101184.
DOI: 10.1029/ 2022rg000796,
Kahn, R. A., E. Andrews, C. A. Brock, M. Chin, G. Feingold, A. Gettelman, R. C. Levy, D. M. Murphy, A. Nenes, J. R. Pierce, T. Popp, J. Redemann, A. M. Sayer, A. M. da Silva, L. Sogacheva, and P. Stier (2023). “Reducing Aerosol Forcing Uncertainty by Combining Models With Satellite and Within-The- Atmosphere Observations: A Three-Way Street”. In: Reviews of Geophysics 61.2. DOI: 10.1029/ 2022rg000796.
DOI: 10.5194/os-19-121-2023,
Körner, M., P. Brandt, and M. Dengler (2023). “Seasonal cycle of sea surface temperature in the tropical Angolan Upwelling System”. In: Ocean Science 19.1, pp. 121–139. DOI: 10.5194/os-19-121-2023.
DOI: 10.1007/s00382-022-06596-4,
Martija-Dı́ez, M., J. López-Parages, B. Rodrı́guez-Fonseca, and T. Losada (2022). “The stationarity of the ENSO teleconnection in European summer rainfall”. In: Climate Dynamics 61.1-2, pp. 489–506. DOI: 10.1007/s00382-022-06596-4.
DOI: 10.16993/tellusa.54,
Mauritsen, T., Redler, R., Esch, M., Stevens, B., Hohenegger, C., Klocke, D., Brokopf, R., Haak, H., Linardakis, L., Röber, N. and Schnur, R., 2022. Early Development and Tuning of a Global Coupled Cloud Resolving Model, and its Fast Response to Increasing CO2. Tellus A: Dynamic Meteorology and Oceanography, 74(1), pp.346–363. http://doi.org/10.16993/tellusa.54
DOI: 10.1029/2021GL097345,
Moum, J. N., K. G. Hughes, E. L. Shroyer, W. D. Smyth, D. Cherian, S. J. Warner, B. Bourlès, P. Brandt, and M. Dengler (2022). “Deep Cycle Turbulence in Atlantic and Pacific Cold Tongues”. In: Geophys. Res. Lett. 49.8, e2021GL097345. DOI: 10.1029/2021GL097345.
DOI: 10.1029/2022gl101796,
Segura, H., C. Hohenegger, C. Wengel, and B. Stevens (2022). “Learning by Doing: Seasonal and Diur- nal Features of Tropical Precipitation in a Global-Coupled Storm-Resolving Model”. In: Geophysical Research Letters 49.24. DOI: 10.1029/2022gl101796.
DOI: 10.1175/mwr-d-22-0209.1,
Tuppi, L., M. Ekblom, P. Ollinaho, and H. Järvinen (2023). “Simultaneous Optimization of 20 Key Parame- ters of the Integrated Forecasting System of ECMWF Using OpenIFS. Part I: Effect on Deterministic Forecasts”. In: Monthly Weather Review 151.6, pp. 1325–1346. DOI: 10.1175/mwr-d-22-0209.1.
DOI: 10.26050/WDCC/nextGEMS\_cyc2,
Wieners, K.-H., F. A. Ziemen, N. Koldunov, X. Predruzo-Bagazgoitia, T. Rackow, R. Redler, D. Sidorenko, and T. Kölling (2023). nextGEMS: output of the model development cycle 2 simulations for ICON and IFS. Zenodo. DOI: 10.26050/WDCC/nextGEMS\_cyc2.
1234: Air Quality: Worldwide Analysis and Forecasting of Atmospheric Composition for Health (AQ-WATCH): High-resolution air quality multi-model forecast system for focus regions in Asia and the Americas
DOI: 10.5194/egusphere-egu22-900,
Oral presentation of the AQ-WATCH project in EGU Annual Meeting 2022
DOI: 10.5194/egusphere-egu22-5369,
Oral presentation of the WRF-Chem simulations in Beijing in EGU Annual Meeting 2022
DOI: 10.5194/ems2022-164,
Oral presentation of the AQ-WATCH project and the AQ-WATCH forecast system in EMS Annual Meeting 2022
DOI: 10.1021/acs.est.3c05104,
Betancourt, C., Li, C. W. Y., Kleinert, F., and Schultz, M. G. Graph Machine Learning for Improved Imputation of Missing Tropospheric Ozone Data. Environmental Science & Technology (2023).
DOI: 10.1007/s13280-023-01858-9,
Li, C.W.Y., Walters, S., Müller, JF. et al. Contamination of tea leaves by anthraquinone: The atmosphere as a possible source. Ambio 52, 1373–1388 (2023).
DOI: 10.5194/egusphere-egu23-15547,
Li, C. W. Y., Sofiev, M., Timmermans, R., Kranenburg, R., Pfister, G., Kumar, R., Deroubaix, A., Huneeus, N., Opazo, M., Caballero, T., Mo, D., Zhang, X., Leufen, L. H., Kleinert, F., Schultz, M., Granier, C., Basart, S., Salvi, O., Caillard, B., and Brasseur, G.: Introduction to the AQ-WATCH multi-model air quality forecast system, EGU General Assembly 2023, Vienna, Austria, 23–28 Apr 2023, EGU23-15547, https://doi.org/10.5194/egusphere-egu23-15547, 2023.
1233: DataWave
DOI: 10.1029/2023JD038549,
Köhler, L., B. Green and C.C. Stephan (2023): Comparing Loon superpressure balloon observa-tions of gravity waves in the tropics with global storm-resolving models, J. Geophys. Res.: Atmospheres, 128, e2023JD038549, doi: 10.1029/2023JD038549
1230: SpreeWasser:N
DOI: 10.57757/IUGG23-4083,
Hauke, C., Ulbrich, U., Rust, H. (2023): Prediction and predictability of hydrological extreme events in the region Berlin-Brandenburg for risk assessment in the joint project SpreeWasser:N, XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG) (Berlin 2023). https://doi.org/10.57757/IUGG23-4083
DOI: 10.5194/ems2023-542,
Hauke, C., Ulbrich, U., and Rust, H.: Prediction and predictability of hydrological extreme events in the region Berlin-Brandenburg for risk assessment in the project SpreeWasser:N, EMS Annual Meeting 2023, Bratislava, Slovakia, 4–8 Sep 2023, EMS2023-542, https://doi.org/10.5194/ems2023-542, 2023.
1229: CliWaC
Tügel, Franziska; Kronke, Elsa; Steffen, Lennart; Nissen, Katrin; Ulbrich, Uwe; Hinkelmann, Reinhard Hydrodynamische N-A-Ensemblesimulationen mit variablen räumlich-zeitlichen Verteilungen von Starkniederschlägen Forum für Hydrologie und Wasserbewirtschaftung, Tag der Hydrologie Bochum, Germany 22.-23.03.2023 Ruhr-Universität Bochum & Hochschule Bochum Publisher: Fachgemeinschaft Hydrologische Wissenschaften in der DWA, Hennef 44.23 Edition March 2023
F., Tügel; E., Kronke; L., Steffen; K., Nissen; U., Ulbrich; R., Hinkelann Ensemble rainfall-runoff simulations with variable spatio-temporal distributions of heavy rainfall IAHR Publisher: 40th IAHR World Congress - Rivers - Connecting Mountains and Coasts, Vienna, Austria August 2023
1203: NUKLEUS – Actionable local climate information for Germany
DOI: 10.3390/w14040600,
Ibebuchi, C., Schönbein, D., Adakudlu, M., Xoplaki, E. and Paeth, H. (2022a): Comparison of three techniques to adjust daily precipitation biases from regional climate models over Germany. Water 14, 600,
DOI: 10.1175/BAMS-D-22-0111.1,
Diez-Sierra, J., Iturbide, M., Gutiérrez, J. M., Fernández, J., Milovac, J., Cofiño, A. S., Cimadevilla, E., Nikulin, G., Levavasseur, G., Kjellström, E., Bülow, K., Horányi, A., Brookshaw, A., García-Díez, M., Pérez, A., Baño-Medina, J., Ahrens, B., Alias, A., Ashfaq, M., Bukovsky, M., Buonomo, E., Caluwaerts, S., Chan Chou, S., Christensen, O. B., Ciarlo´, J. M., Coppola, E., Corre, L., Demory, M., Djurdjevic, V., Evans, J. P., Fealy, R., Feldmann, H., Jacob, D., Jayanarayanan, S., Katzfey, J., Keuler, K., Kittel, C., Levent Kurnaz, M., Laprise, R., Lionello, P., McGinnis, S., Mercogliano, P., Nabat, P., Önol, B., Ozturk, T., Panitz, H., Paquin, D., Pieczka, I., Raffaele, F., Reca Remedio, A., Scinocca, J., Sevault, F., Somot, S., Steger, C., Tangang, F., Teichmann, C., Termonia, P., Thatcher, M., Torma, C., van Meijgaard, E., Vautard, R., Warrach-Sagi, K., Winger, K., & Zittis, G. (2022). The worldwide C3S CORDEX grand ensemble: A major contribution to assess regional climate change in the IPCC AR6 Atlas, Bulletin of the American Meteorological Society (published online ahead of print 2022), https://doi.org/10.1175/BAMS-D-22-0111.1.
DOI: doi:10.1007/s00382-022-06258-5,
Ibebuchi, C., Schönbein, D. and Paeth, H. (2022b): On the added value of statistical post-processing of regional climate models to identify homogeneous patterns of summer rainfall anomalies in Germany. Climate Dynamics
DOI: 10.5194/nhess-2022-225,
Ludwig, P., Ehmele, F., Franca, M. J., Mohr, S., Caldas-Alvarez, A., Daniell, J. E., Ehret, U., Feldmann, H., Hundhausen, M., Knippertz, P., Küpfer, K., Kunz, M., Mühr, B., Pinto, J. G., Quinting, J., Schäfer, A. M., Seidel, F., and Wisotzky, C.: A multi-disciplinary analysis of the exceptional flood event of July 2021 in central Europe. Part (2022): Historical context and relation to climate change, Nat. Hazards Earth Syst. Sci. Discuss
DOI: 10.1080/16000870.2020.1804294,
Petrik, R., Geyer, B., & Rockel, B. (2021). On the diurnal cycle and variability of winds in the lower planetary boundary layer: evaluation of regional reanalyses and hindcasts. Tellus A: Dynamic Meteorology and Oceanography, 73(1), 1-28,
DOI: 10.5194/nhess-2022-137,
Mohr, S., Ehret, U., Kunz, M., Ludwig, P., Caldas-Alvarez, A., Daniell, J. E., Ehmele, F., Feldmann, H., Franca, M. J., Gattke, C., Hundhausen, M., Knippertz, P., Küpfer, K., Mühr, B., Pinto, J. G., Quinting, J., Schäfer, A. M., Scheibel, M., Seidel, F., and Wisotzky, C.: A multi-disciplinary analysis of the exceptional flood event of July 2021 in central Europe. Part 1: Event description and analysis, Nat. Hazards Earth Syst. Sci. Discuss. [preprint], https://doi.org/10.5194/nhess-2022-137, in review, 2022.
Samtleben, N. and Petrik, R. and Keuler, K. and Rockel, B., 2022: On the transition to ICON-CLM: Long-term validation and evaluation of ICON and COSMO; Presentation given at the ICCARUS 2022, Online-Meeting, organized by DWD, Germany
Petrik, R. and Keuler, K. and Rockel, B., 2022: Towards transient aerosols in ICON-CLM - Impact of different aerosol climatologies; Presentation given at the EMS, Bonn, Germany
Petrik, R. and Beier, C. and Samtleben, N. and Keuler, K. and Rockel, B., 2022: Transition from COSMO to ICON - the recent state on EUR-CORDEX and convection-permitting scale, Presentation given at the CLM Assembly, Online-Meeting, organized by FU Berlin and DWD and HEREON, Germany
Petrik, R., 2022: Flexible evaluation offline and within runtime environments, Presentation given at the CLM Assembly, Online Meeting, organized by FU Berlin and DWD and HEREON, Germany
DOI: 10.5194/nhess-23-2873-2023,
Hundhausen, M.; Feldmann, H.; Laube, N.; Pinto, J. G., 2023a: Future heat extremes and impacts in a convection-permitting climate ensemble over Germany. Natural Hazards and Earth System Sciences, 23 (8), 2873–2893. doi:10.5194/nhess-23-2873-2023
DOI: 10.3390/w14040600,
Ibebuchi, C., Schönbein, D., Adakudlu, M., Xoplaki, E. and Paeth, H. (2022a): Comparison of three techniques to adjust daily precipitation biases from regional climate models over Germany. Water 14, 600,
DOI: 10.1007/s00382-022-06258-5,
Ibebuchi, C., Schönbein, D. and Paeth, H. (2022b): On the added value of statistical post-processing of regional climate models to identify homogeneous patterns of summer rainfall anomalies in Germany. Climate Dynamics, doi:10.1007/s00382-022-06258-5.
1198: Aerosol-circulation interactions
DOI: 10.1029/2020GL092142.,
Fiedler, S., & Putrasahan, D., 2021: How does the North Atlantic SST pattern respond to anthropogenic aerosols in the 1970s and 2000s? Geophysical Research Letters, 48, e2020GL092142. https://doi.org/10.1029/2020GL092142.
DOI: 10.5194/gmd-14-3683-2021,
Lamboll, R. D., Jones, C. D., Skeie, R. B., Fiedler, S., Samset, B. H., Gillett, N. P., Rogelj, J., and Forster, P. M., 2021: Modifying emissions scenario projections to account for the effects of COVID-19: protocol for CovidMIP, Geosci. Model Dev., 14, 3683–3695, https://doi.org/10.5194/ gmd-14-3683-2021.
DOI: 10.1029/2020GL091883.,
Jones, C.D., Hickman, J.E., Rumbold, S.T., Walton, J., Lamboll, R.D., Skeie, R.B., Fiedler, S., Forster, P., Rogelj, J., et al., 2021: The Climate Response to Emissions Reductions due to COVID‐19: Initial Results from CovidMIP. Geophysical Research Letters, 48, e2020GL091883. https://doi.org/10.1029/2020GL091883.
DOI: 10.1002/essoar.10504704,
Fiedler, S., Wyser, K., Rogelj, J., and van Noije, T., in review: Radiative effects of reduced aerosol emissions during the COVID-19 pandemic and the future recovery, available on ESSOAr: https://doi.org/10.1002/essoar.10504704.
DOI: 10.1016/j.atmosres.2021.105866,
Fiedler, S.; Wyser, K.; Rogelj, J. and van Noije, T., 2021: Radiative effects of reduced aerosol emissions during the COVID-19 pandemic and the future recovery, Atmospheric Research, 264, 105866, https://doi.org/10.1016/j.atmosres.2021.105866.
DOI: 10.5194/cp-2022-72,
Reyers, M., Fiedler, S., Ludwig, P., Böhm, C., Wennrich, V., and Shao, Y., 2022: On the importance of moisture conveyor belts from the tropical East Pacific for wetter conditions in the Atacama Desert during the Mid-Pliocene, Clim. Past Discuss. [preprint], https://doi.org/10.5194/cp-2022-72, in review.
DOI: 10.1029/2021JD035483,
Vogel, A., Alessa, G., Scheele, R., Weber, L., Dubovik, O., North, P., & Fiedler, S., 2022: Uncertainty in aerosol optical depth from modern aerosol-climate models, reanalyses, and satellite products. Journal of Geophysical Research: Atmospheres, 127, e2021JD035483. https://doi.org/10.1029/2021JD035483.
DOI: none,
Paulus, F., 2021: Climatology of wind energy resources associated with extra-tropical cyclones in Europe, master thesis in physics, University Bonn, prepared at University of Cologne.
Kanngießer, F. and Fiedler, S.: “Seeing” beneath the clouds - machine-learning-based reconstruction of North African dust events, AGU Advances, in review.
DOI: 10.1029/2023GL104848,
Fiedler, S., van Noije, T., Smith, C.J., Boucher, O., Dufresne, J., Kirkevåg, A., Olivié, D., Pinto, R., Reerink, T., Sima, A., Schulz, M.: Historical Changes and Reasons for Model Differences in Anthropogenic Aerosol Forcing in CMIP6. Geophysical Research Letters, 50 (15), https://doi.org/10.1029/2023GL104848, 2023.
DOI: 10.1016/j.atmosres.2023.106846,
Mu, F., Weide Luiz, E., Fiedler, S.: On the dynamics and air-quality impact of the exceptional East Asian dust outbreak in mid-March 2021. Atmos. Res. 292, 106846. DOI: 10.1016/j.atmosres.2023.106846, 2023.
DOI: 10.5194/cp-2022-72,
Reyers, M., Fiedler, S., Ludwig, P., Böhm, C., Wennrich, V., and Shao, Y., 2022: On the importance of moisture conveyor belts from the tropical East Pacific for wetter conditions in the Atacama Desert during the Mid-Pliocene, Clim. Past Discuss. [preprint], https://doi.org/10.5194/cp-2022-72, in review.
DOI: 10.1101/2023.09.20.558398,
Bechir Ferchichi, K., incl. Fiedler, S. and Mu F.: Genetic diversity of the Atacama Desert shrub Huidobria chilensis in the context of geography and climate, Global and Planetary Change, preprint DOI: 10.1101/2023.09.20.558398, in review.
1195: urbisphere — coupling dynamic cities and climate
DOI: 10.5281/zenodo.4902248,
Metzger, Swen[1,2], Feigel, Gregor[1], Steil, Benedikt[3], Rémy, Samuel[4], Christen, Andreas[1], & Grimmond, Sue[5]. (2021). On the influence of aerosol hygroscopic growth on meteorology using model data — from global to urban scales. Zenodo. https://doi.org/10.5281/zenodo.4902248
1190: JPI Oceans /JPI Climate project ROADMAP: The Role of ocean dynamics and Ocean-Atmosphere interactions in Driving cliMAte variations and future Projections of impact-relevant extreme events
DOI: 10.1175/JCLI-D-22-0222.1,
Ghosh, R., D. Putrasahan, E. Manzini, K. Lohmann, P. Keil, R. Hand, J. Bader, D. Matei, J. H. Jungclaus (2023) Two distinct phases of North Atlantic Eastern Subpolar Gyre and Warming Hole evolution under Global Warming. J Climate, 36, DOI: 10.1175/JCLI-D-22-0222.1
DOI: 10.1175/JCLI-D-20-1007.1,
H. R. Langehaug, P. Ortega, F. Counillon, D. Matei, E. Maroon, N. Keenlyside, J. Mignot, Y. Wang, D. Swingedouw, I. Bethke, S. Yang, G. Danabasoglu, A. Bellucci, P. Ruggieri, D. Nicolì, M. Årthun, 2022: Propagation of Thermohaline Anomalies and their predictive potential along the Atlantic water pathway. Journal of Climate, 35, 2111-213.
DOI: 10.3389/fclim.2023.1121626,
O'Kane, T.J, et al., including D. Matei, 2023: Recent applications and potential of near-term (interannual to decadal) climate predictions. Frontiers in Climate, 5. doi:10.3389/fclim.2023.1121626.
DOI: 10.1038/s41467-022-30280-0,
Payne, M., G. Danabasoglu, N. Keenlyside, D. Matei, A. Miesner, S. Yang, S. Yeager, 2022: Skilful decadal-scale prediction of fish habitat and distribution shifts. Nature Communications 13 (1), 1-9.
DOI: 10.1038/s41467-022-28283-y,
D. M. Smith, R. Eade, M. B. Andrews, H. Ayres, A. Clark, S. Chripko, C. Deser, N. J. Dunstone, J. García-Serrano, G. Gastineau, L. S. Graff, S. C. Hardiman, B. He, L. Hermanson, T. Jung, J. Knight, X. Levine, G. Magnusdottir, E. Manzini, D. Matei, M. Mori, R. Msadek, P. Ortega, Y. Peings, A. A. Scaife, J. A. Screen, M. Seabrook, T. Semmler, M. Sigmond, J. Streffing, L. Sun & A. Walsh (2022): Robust but weak winter atmospheric circulation response to future Arctic sea ice loss. Nature Communications, 13:727, DOI: 10.1038/s41467-022-28283-y
DOI: 10.1111/nyas.14663,
Ayarzaguena, B.**, Manzini, E.**, Calvo, N. & Matei, D., 2021: Interaction between decadal-to-multidecadal oceanic variability and sudden stratospheric warmings. Annals of the New York Academy of Sciences, 1504 (1), 215-229. ** joint first authors
DOI: doi.org/10.1007/s00382-022-06508-6.,
Mezzina, B., J. Garcia-Serrano, T. Ambrizzi, D. Matei, E. Manzini, I. Blade (2022) Tropospheric pathways of the late-winter ENSO teleconnection to Europe. Climate Dynamics. https://doi.org/10.1007/s00382-022-06508-6.
DOI: 10.5194/esd-2020-25.,
Wilcke, R., Kjellström, E., Lin, C., Matei, D., Moberg, A., Tyrlis E., 2020. The extremely warm summer 2018 in Sweden – set in a historical context. 10.5194/esd-2020-25.
DOI: 10.1088/1748-9326/ac88e5,
L. Suo, G. Gastineau, Y. Gao, Y.-C. Liang, R. Ghosh, T. Tian, Y. Zhang, Y.-O. Kwon, O. H. Otterå, S. Yang and D. Matei, 2022: Simulated contribution of the interdecadal Pacific oscillation to the west Eurasia cooling in 1998–2013. Environ. Res. Lett. 17 094021
DOI: 10.1029/2022JD036679.,
Suo L, Gao Y, Gastineau G, Liang Y C, Ghosh R, Tian T, Zhang Y, Kwon Y O, Matei D, Otterå O H and Yang S 2022 Arctic Troposphere Warming Driven by External Radiative Forcing and Modulated by the Pacific and Atlantic J. Geophys. Res. Atmos. 127 e2022JD036679 Online: https://onlinelibrary.wiley.com/doi/full/10.1029/2022JD036679.
1179: Machine learning-based parametrisations and analysis for the ICON model (ICON-ML)
DOI: 10.48550/arXiv.2112.11317,
Grundner, A., Beucler, T., Iglesias-Suarez, F., Gentine, P., Giorgetta, M. A., and Eyring, V., “Deep Learning Based Cloud Cover Parameterization for ICON”, arXiv e-prints, 2021
DOI: 10.48550/arXiv.2204.08708,
Behrens, G., Beucler, T., Gentine, P., Iglesias-Suarez, F., Pritchard, M., and Eyring, V., “Non-Linear Dimensionality Reduction with a Variational Autoencoder Decoder to Understand Convective Processes in Climate Models”, arXiv e-prints, 2022
Kaps, A., Lauer, A., Camps-Valls, G., Gentine, P., Gómez-Chova, L., Eyring, V., "Machine-learned cloud classes from satellite data for process-oriented climate model evaluation", IEEE Trans. Geosci. Rem. Sens., to be uploaded on arXiv e-prints, 2022
DOI: 10.1029/2021ms002959,
Grundner, A., Beucler, T., Gentine, P., Iglesias-Suarez, F., Giorgetta, M. A., & Eyring, V. (2022). Deep learning based cloud cover parameterization for ICON. Journal of Advances in Modeling Earth Systems, 14, e2021MS002959. https://doi.org/10.1029/2021MS002959
DOI: 10.1029/2022ms003130,
Behrens, G., Beucler, T., Gentine, P., Iglesias-Suarez, F., Pritchard, M., & Eyring, V. (2022). Non-linear dimensionality reduction with a variational encoder decoder to understand convective processes in climate models. Journal of Advances in Modeling Earth Systems, 14, e2022MS003130. https://doi.org/10.1029/2022MS003130
DOI: 10.5194/gmd-16-315-2023,
Schlund, Manuel, Birgit Hassler, Axel Lauer, Bouwe Andela, Patrick Joeckel, Saskia Loosveldt Tomas, Rémi Kazeroni et al. "Evaluation of Native Earth System Model Output with ESMValTool." In AGU Fall Meeting Abstracts, vol. 2022, pp. GC42L-0856. 2022. https://doi.org/10.5194/gmd-16-315-2023
DOI: 10.1109/TGRS.2023.3237008,
A. Kaps, A. Lauer, G. Camps-Valls, P. Gentine, L. Gómez-Chova and V. Eyring, "Machine-Learned Cloud Classes From Satellite Data for Process-Oriented Climate Model Evaluation," in IEEE Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1-15, 2023, Art no. 4100515, doi: 10.1109/TGRS.2023.3237008.
1176: AIM
DOI: doi.org/10.1016/j.rse.2021.112801,
Milad Asgarimehr, Caroline Arnold, Tobias Weigel, Chris Ruf, Jens Wickert, "GNSS reflectometry global ocean wind speed using deep learning: Development and assessment of CyGNSSnet". Remote Sensing of Environment, Volume 269, 2022, 112801, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2021.112801.
DOI: 10.1016/j.epsl.2023.118383,
Karimpouli, S., Caus, D., Grover, H., Martínez-Garzón, P., Bohnhoff, M., Beroza, G.C., Dresen, G., Goebel, T., Weigel, T. and Kwiatek, G., 2023. Explainable machine learning for labquake prediction using catalog-driven features. Earth and Planetary Science Letters, 622, p.118383.
DOI: 10.1088/2632-2153/ace417,
Schanz, T., Möller, K.O., Rühl, S. and Greenberg, D.S., 2023. Robust detection of marine life with label-free image feature learning and probability calibration. Machine Learning: Science and Technology, 4(3), p.035007.
1174: Effects of Absorbing Aerosols on Cloud Cover over Germany
DOI: 10.1002/qj.4169,
Senf, F., Quaas, J. & Tegen, I.(2021) Absorbing aerosol decreases cloud cover in cloud-resolving simulations over Germany. Q J R Meteorol Soc, 147( 741, 4083– 4100.
DOI: 10.5281/zenodo.5078285,
Fabian Senf. (2021). Jupyter Notebooks for the ICON Semi-Direct Effect Paper 2020, Revision 1 Release (v1.1). Zenodo. https://doi.org/10.5281/zenodo.5078285
Müller, J., 2022: Global Adjustments and Circulation Responses to Smoke Aerosol Forcing from Australian Wildfires, Masterarbeit. Masterthesis, University of Leipzig.
Weigert, H., 2023: Non-Parametric Supervised Machine Learning for Classification and Analysis of Simulated Cloud Distributions. Masterthesis, University of Leipzig.
1173: Climate, Climatic Change and Society
DOI: 10.5194/gmd-2022-171,
Hohenegger, C., Korn, P., Linardakis, L. et al. (2022): ICON-Sapphire: simulating the components of the Earth System and their interactions at kilometer and subkilometer scales, Geosci. Model Dev. Discuss. [preprint], https://doi.org/10.5194/gmd-2022-171, in review.
DOI: 10.21203/rs.3.rs-1570621/v1,
Prein AF, Ban N, Ou T, Tang J, Sakaguchi K, Collier E, Jayanarayanan S, Li L, Sobolowski S, Chen X, Zhou X, Lai H, Sugimoto S, Zou L, Hasson Su, Ekstrom M, Pothapakula PK, Stuart R, Steen-Larsen HC, Leung R, Belusic D, Kukulies J, Curio J, Chen D.: Towards Ensemble-Based Kilometer-Scale Climate Simulations over the Third Pole Region, 2022 DOI: 10.21203/rs.3.rs-1570621/v1 (preprint under review)
DOI: 10.1029/2021MS002789,
Mathis, M., K. Logemann, J. Maerz, F. Lacroix, S. Hagemann, F. Chegini, L. Ramme, T. Ilyina, P. Korn, C. Schrum (2022). Seamless integration of the coastal ocean in global marine carbon cycle modeling. Journal of Advances in Modeling Earth Systems, 14, e2021MS002789. https://doi.org/10.1029/2021MS002789
DOI: 10.1038/s41558-022-01281-0,
Nielsen, D. M., Pieper, P., Barkhordarian, A., Overduin, P., Ilyina, T., Brovkin, V., Baehr, J. & Dobrynin, M. (2022). Increase in Arctic coastal erosion and its sensitivity to warming in the twenty-first century. Nature Climate Change, 12(3), 263-270. https://doi.org/10.1038/s41558-022-01281-0
DOI: 10.5194/ems2022-506, 2022,
Bär, F., Petrik, R., Heinold, B., and Quante, M.: Model study on the influence of aerosol-cloud interaction processes on precipitation in urban areas, EMS Annual Meeting 2022, Bonn, Germany, 5–9 Sep 2022, EMS2022-506, https://doi.org/10.5194/ems2022-506, 2022.
DOI: 10.5194/nhess-22-1683-2022, 2022,
Chen, W., Staneva, J., Grayek, S., Schulz-Stellenfleth, J., and Greinert, J.: The role of heat wave events in the occurrence and persistence of thermal stratification in the southern North Sea, Nat. Hazards Earth Syst. Sci., 22, 1683–1698, https://doi.org/10.5194/nhess-22-1683-2022, 2022.
DOI: 10.5194/egusphere-egu23-9721,
Casaroli et al. 2023, Effects of mesoscale processes on biogeochemistry, EGU2023.
DOI: 10.3389/fmars.2023.1206062,
Kossack, J., Mathis, M., Daewel, U., Zhang, Y. J., Schrum, C (2023). Barotropic and baroclinic tides increase primary production on the Northwest European Shelf. Frontiers in Marine Science, 10.
DOI: 10.1038/s41612-023-00452-w,
Fons, E., Runge, J., Neubauer, D. et al. Stratocumulus adjustments to aerosol perturbations disentangled with a causal approach. npj Clim Atmos Sci 6, 130 (2023).
DOI: 10.1029/2022MS003443,
Lang, T., Naumann, A. K., Buehler, S. A., Stevens, B., Schmidt, H., & Aemisegger, F. (2023). Sources of uncertainty in mid-tropospheric tropical humidity in global storm-resolving simulations. Journal of Advances in Modeling Earth Systems, 15, e2022MS003443.
DOI: 10.3390/land12040880,
Santos, J.F.; Schickhoff, U.; ul Hasson, S.; Böhner, J. (2023): Biogeophysical Effects of Land-Use and Land-Cover Changes in South Asia: An Analysis of CMIP6 Models. Land, 12, 880.
DOI: 10.21203/rs.3.rs-2928105/v1,
Mathis, M., F. Lacroix, S. Hagemann, D. Nielsen, T. Ilyina, C. Schrum. Enhanced CO2 uptake of the coastal ocean is dominated by biological carbon fixation, 23 May 2023, preprint (version 1) available at Research Square.
DOI: 10.3389/fmars.2023.1104027,
Grayek, S., Wiese, A., Ho-Hagemann, H. T. M., Staneva, J. (2023). Added value of including waves into a coupled atmosphere–ocean model system within the North Sea area. Frontiers in Marine Science, 10, 1104027.
DOI: 10.5194/egusphere-egu23-4685,
Putrasahan et al. (2023): Geographical distribution and spatio-temporal scale dependency of air-sea coupling via the vertical mixing mechanism, EGU2023 and AOGS2023.
Putrasahan et al. (2023): Impact of ocean layer thickness in Storm-and-eddy-rich Global Coupled Simulations on ENSO variability, AOGS2023.
DOI: 10.5194/egusphere-egu23-14222,
Chegini et al. 2023, Spin-up strategy for ocean biogoechemistry in a high resolution Earth System Model, EGU2023.
DOI: 10.3389/fmars.2023.1102485,
Pein, J., Staneva, J., Mayer, B., Palmer, M. D., & Schrum, C. (2023). A framework for estuarine future sea-level scenarios: Response of the industrialised Elbe estuary to projected mean sea level rise and internal variability. Frontiers in Marine Science, 10, 1102485.
1171: Impact of SOlar, Volcanic and Internal variability on Climate (ISOVIC)
DOI: http://dx.doi.org/10.1029/2021GL095990,
Fang, S.-W., Khodri, M., Timmreck, C., Zanchettin, D. & Jungclaus, J.(2021). Disentangling internal and external contributions to Atlantic multidecadal variabilityover the past millennium. Geophysical Research Letters, 48: e2021GL095990. doi:10.1029/2021GL095990
DOI: DOI: 10.5194/esd-13-1535-2022,
Fang, S. W., Timmreck, C., Jungclaus, J., Krüger, K., & Schmidt, H. (2022). On the additivity of climate responses to the volcanic and solar forcing in the early 19th century. Earth System Dynamics, 13(4), 1535-1555.
DOI: 10.1029/2022GL101478,
Villamayor, J., Khodri, M., Fang, S.-W., Jungclaus, J. H., Timmreck, C., & Zanchettin, D. (2023). Sahel droughts induced by large volcanic eruptions over the last millennium in PMIP4/past1000 simulations. Geophysical Research Letters, 50, e2022GL101478. https://doi.org/10.1029/2022GL101478
1170: Atmospheric greenhouse gases and the Carbon cycle (AtmoC)
DOI: 10.22541/essoar.167591054.45628540/v1,
Pilz,L. Galkowski, M., Fallmann, J., Chen.F., Butz, A., Vardag, S.N.: Optimizing High-Resolution Simulations with the Weather Research and Forecasting (WRF) Model for the German Rhine-Neckar Metropolitan Region. Authorea. February 09, 2023
DOI: 10.5194/acp-22-5859-2022,
Luther, A., Kostinek, J., Kleinschek, R., Defratyka, S., Stanisavljević, M., Forstmaier, A., Dandocsi, A., Scheidweiler, L., Dubravica, D., Wildmann, N., Hase, F., Frey, M. M., Chen, J., Dietrich, F., Nȩcki, J., Swolkień, J., Knote , C., Vardag, S. N., Roiger, A., and Butz, A.: Observational constraints on methane emissions from Polish coal mines using a ground-based remote sensing network, Atmos. Chem. Phys., 22, 5859–5876, https://doi.org/10.5194/acp-22-5859-2022, 2022.
DOI: 10.1126/science.add7833,
Metz, E.-M., Vardag, S. N., Basu, S., Jung, M., Ahrens, B., El-Madany, T., Sitch, S., Arora, V. K., Briggs, P. R., Friedlingstein, P., Goll, D. S., Jain, A. K., Kato, E., Lombardozzi, D., Nabel, J. E. M. S., Poulter, B., Séférian, R., Tian, H., Wiltshire, A., Yuan, W., Yue, X., Zaehle, S., Deutscher, N. M., Griffith, D. W. T., and Butz, A.: Soil respiration-driven CO2 pulses dominate Australia’s flux variability, Science, 379, 1332–1335, https://doi.org/10.1126/science.add7833, 2023.
1168: Thunderstorms and their role in producing lightning- ignited wildfires and transient luminous events: Impact on chemistry
DOI: 10.5194/amt-15-3329-2022,
Pérez-Invernón, F. J., Huntrieser, H., Erbertseder, T., Loyola, D., Valks, P., Liu, S., Allen, D. J., Pickering, K. E., Bucsela, E. J., Jöckel, P., van Geffen, J., Eskes, H., Soler, S., Gordillo-Vázquez, F. J., and Lapierre, J.: Quantification of lightning-produced NOx over the Pyrenees and the Ebro Valley by using different TROPOMI-NO2 and cloud research products, Atmos. Meas. Tech., 15, 3329–3351, https://doi.org/10.5194/amt-15-3329-2022, 2022.
DOI: 10.5194/gmd-15-1545-2022,
Pérez-Invernón, F. J., Huntrieser, H., Jöckel, P., and Gordillo-Vázquez, F. J.: A parameterization of long-continuing-current (LCC) lightning in the lightning submodel LNOX (version 3.0) of the Modular Earth Submodel System (MESSy, version 2.54), Geosci. Model Dev., 15, 1545–1565, https://doi.org/10.5194/gmd-15-1545-2022, 2022.
1166: Cloud-cloud interaction in convective precipitation (INTERACTION)
DOI: 10.1029/2021JD035331,
Nissen, Silas Boye, and Jan O. Haerter. "Circling in on Convective Self‐Aggregation." Journal of Geophysical Research: Atmospheres 126.20 (2021): e2021JD035331. https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2021JD035331
Jensen, Gorm Gruner, Romain Fiévet, and Jan O. Haerter, "The diurnal path to persistent convective self-aggregation", Journal of Advances in Modeling Earth Systems (accepted, in production)
Haerter, Jan O., Bettina Meyer, and Silas Boye Nissen. "Diurnal self-aggregation." npj Climate and Atmospheric Science 3.1 (2020): 1-11. https://www.nature.com/articles/s41612-020-00132-z
DOI: 10.1002/essoar.10512898.1,
Hoeller, Jannik, Romain Fiévet, and Jan O. Haerter. "U-Net Segmentation for the Detection of Convective Cold Pools From Cloud and Rainfall Fields." Authorea Preprints (2022).
DOI: 10.22541/essoar.167768111.14938799/v1,
Hoeller, Jannik, Romain Fiévet, and Jan O. Haerter. "Detecting Cold Pool Family Trees in Convection Resolving Simulations." (2023).
under review
DOI: 10.1002/essoar.10512460.1,
Haerter, Jan O., and Romain Fiévet. "Precipitation resonance for an idealized ITCZ model." Authorea Preprints (2022).
DOI: e2021MS002923,
Jensen, Gorm Gruner, Romain Fiévet, Jan O. Haerter. “The diurnal path to persistent convective self-aggregation”, Journal of Advances in Modeling Earth Systems (2022) 14 (5), e2021MS002923
DOI: 10.1103/PhysRevE.105.034314,
Niehues, Jakob, Gorm Gruner Jensen, and Jan O. Haerter. "Self-organized quantization and oscillations on continuous fixed-energy sandpiles." Physical Review E 105.3 (2022): 034314.
DOI: e2021JD035331,
Nissen, Silas Boye, and Jan O. Haerter. "Circling in on Convective Self‐Aggregation." Journal of Geophysical Research: Atmospheres 126.20 (2021): e2021JD035331
DOI: 10.1038/s41612-020-00132-z,
Haerter, Jan O., Bettina Meyer, and Silas Boye Nissen. "Diurnal self-aggregation." npj Climate and Atmospheric Science 3.1 (2020): 1-11.
1164: Quantifying millennial timescale grounding-line retreat in East Antarctica
DOI: 10.5194/egusphere-2022-128,
Henry, A. C. J., Drews, R., Schannwell, C., and Višnjević, V.: Hysteretic evolution of ice rises and ice rumples in response to variations in sea level, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2022-128, 2022.
DOI: 10.5194/tc-16-3889-2022,
Henry, A. C. J., Drews, R., Schannwell, C., and Višnjević, V.: Hysteretic evolution of ice rises and ice rumples in response to variations in sea level, The Cryosphere, 16, 3889–3905, https://doi.org/10.5194/tc-16-3889-2022, 2022.
1155: COPAT2 – Coordinated parameter testing of the COSMO6.0 version and ICON-CLM
CLM-Community WG EVAL COordinated PArameter Testing project 2 (COPAT2) - COSMO-CLM 6.0 clm1 recommended model configuration
1153: DYAMOND
DOI: 10.2151/jmsj.2021-062,
Heim, C., L. Hentgen, N. Ban, and C. Schär, 2021: Inter-model variability in convection-resolving simulations of subtropical marine low clouds. J. Meteor. Soc. Japan, 99, Special Edition on DYAMOND: The DYnamics of the Atmospheric general circulation Modeled On Non-hydrostatic Domains https://doi.org/10.2151/jmsj.2021-062.
DOI: 10.2151/jmsj.2021-029,
Judt, F., Klocke, D., Rios-Berrios, R., Vanniere, B., Ziemen, F., Auger, L., Biercamp, J., Bretherton, C., Chen, X., Düben, P., Hohenegger, C., Khairoutdinov, M., Kodama, C., Kornblueh, L., Lin, S.-J., Nakano, M., Neumann, P., Putman, W., Röber, N., Roberts, M., Satoh, M., Shibuya, R., Stevens, B., Vidale, P. L., Wedi, N., & Zhou, L. (2021). Tropical Cyclones in Global Storm-Resolving Models. Journal of the Meteorological Society of Japan. Ser. II, 99(3), 579–602. https://doi.org/10.2151/jmsj.2021-029
DOI: 10.2151/jmsj.2020-005,
Hohenegger, C., Kornblueh, L., Klocke, D., Becker, T., Cioni, G., Engels, J. F., Schulzweida, U. and Stevens, B.: Climate Statistics in Global Simulations of the Atmosphere, from 80 to 2.5 km Grid Spacing, Journal of the Meteorological Society of Japan. Ser. II, 98(1), 73–91, doi:10.2151/jmsj.2020-005, 2020.
DOI: arXiv:2108.08565,
Christensen, H. M., Driver, O. G. A.: The Fractal Nature of Clouds in Global Storm-Resolving Models https://arxiv.org/abs/2108.08565
Publications are listed here: https://www.esiwace.eu/services/dyamond-initiative/dyamond-related-publications There was a special issue in JMSJ and in total more than 30 publications were published up to now.
DOI: https: //nextgems-h2020.eu/publications/,
A list of NextGEMS publications is under the link above
DOI: https://www.esiwace.eu/the-project/past-phases/dyamond-initiative/dyamond-related-publications,
A list of DYAMOND publications is under the link above
1148: SOLCHECK
DOI: 10.26050/WDCC/SOLCHECK_ MPI-ESM-HR_C6_lowpass,
Kröger, J. & H. Pohlmann, 2022a: SOLCHECK MPI-M MPI-ESM1-2-HR CMIP6 historical simulation with low-pass filtered solar and ozone variability. doi: 10.26050/WDCC/SOLCHECK_MPI-ESM-HR_C6_lowpass
DOI: https://www.wdc-climate.de/ui/entry? acronym=DKRZ_LTA_1148_dsg0001,
Kröger, J. & H. Pohlmann, 2022b: SOLCHECK MPI-M MPI-ESM1-2-HR CMIP6 retrospective forecasts (hindcasts) without solar and ozone variability. https://www.wdc-climate.de/ui/entry?acronym=DKRZ_LTA_1148_dsg0001
DOI: 10.26050/WDCC/SOLCHECK_MPI-ESM- HR_C6_hist,
Pohlmann, H., 2021: SOLCHECK MPI-M MPI-ESM1-2-HR CMIP6 historical simulation without solar and ozone variability. doi:10.26050/WDCC/SOLCHECK_MPI-ESM- HR_C6_hist
DOI: 10.5194/wcd-4-789-2023,
Spiegl, T. C., U. Langematz, H. Pohlmann, J. Kröger, 2023: A critical evaluation of decadal solar cycle imprints in the MiKlip historical ensemble simulations. Weather and Climate Dynamics, 4, 789–807. doi:10.5194/wcd-4-789-2023
1147: LAnd MAnagement for CLImate Mitigation and Adaptation
DOI: 10.5194/esd-13-1305-2022,
De Hertog, S. J.; Havermann, F.; Vanderkelen, I.; Guo, S.; Luo, F.; Manola, I.; Coumou, D.; Davin, E. L.; Duveiller, G.; Lejeune, Q.; Pongratz, J.; Schleussner, C.-F.; Seneviratne, S. I. & Thiery, W. The biogeophysical effects of idealized land cover and land management changes in Earth system models Earth System Dynamics, 2022, 13, 1305-1350
DOI: 10.5194/egusphere-egu22-412,
De Hertog, S., Lopez Fabara, C. E., Havermann, F., Guo, S., Pongratz, J., Manola, I., Luo, F., Coumou, D., Davin, E. L., Seneviratne, S. I., Lejeune, Q., Schleussner, C.-F., and Thiery, W.: Sensitivity of global surface moisture dynamics under changed land cover and land management, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-412, https://doi.org/10.5194/egusphere-egu22-412, 2022.
DOI: 10.5194/egusphere-egu22-11533,
Guo, S., Havermann, F., De Hertog, S., Thiery, W., Luo, F., Manola, I., Coumou, D., Lejeune, Q., Schleussner, C.-F., and Pongratz, J.: Simulated unintended biogeochemical effects of idealized land cover and land management changes, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-11533, https://doi.org/10.5194/egusphere-egu22-11533, 2022.
DOI: 10.1029/2022EF002909,
Orlov, A.; De Hertog, S.; Havermann, F.; Guo, S.; Luo, F.; Manola, I.; Thiery, W.; Lejeune, Q.; Pongratz, J.; Humpenöder, F.; Windisch, M.; Nath, S.; Popp, A. & Schleussner, C.-F. Changes in Land Cover and Management Affect Heat Stress and Labor Capacity Earthś Future, 2023
DOI: 10.5194/gmd-16-4283-2023,
Nath, S.; Gudmundsson, L.; Schwaab, J.; Duveiller, G.; De Hertog, S. J.; Guo, S.; Havermann, F.; Luo, F.; Manola, I.; Pongratz, J.; Seneviratne, S. I.; Schleussner, C. F.; Thiery, W. & Lejeune, Q. TIMBER v0.1: a conceptual framework for emulating temperature responses to tree cover change Geoscientific Model Development, 2023, 16, 4283-4313
DOI: 10.5194/esd-14-629-2023,
De Hertog, S. J.; Havermann, F.; Vanderkelen, I.; Guo, S.; Luo, F.; Manola, I.; Coumou, D.; Davin, E. L.; Duveiller, G.; Lejeune, Q.; Pongratz, J.; Schleussner, C.-F.; Seneviratne, S. I. & Thiery, W. The biogeophysical effects of idealized land cover and land management changes in Earth system models Earth System Dynamics, 2023, 14, 629-667
DOI: 10.5194/egusphere-2023-953,
De Hertog, S. J.; Lopez-Fabara, C. E.; van der Ent, R.; Keune, J.; Miralles, D. G.; Portmann, R.; Schemm, S.; Havermann, F.; Guo, S.; Luo, F.; Manola, I.; Lejeune, Q.; Pongratz, J.; Schleussner, C.-F.; Seneviratne, S. I. & Thiery, W. Effects of idealised land cover and land management changes on the atmospheric water cycle EGUsphere, 2023, 2023, 1-36
DOI: 10.1088/1748-9326/acd799,
Orlov, A.; Aunan, K.; Mistry, M. N.; Lejeune, Q.; Pongratz, J.; Thiery, W.; Gasparrini, A.; Reed, E. U. & Schleussner, C.-F. Neglected implications of land-use and land-cover changes on the climate-health nexus Environmental Research Letters, IOP Publishing, 2023, 18, 061005
1144: Impact of climate change on South Asia extremes: A high-resolution regional Earth System Model assessment
DOI: 10.1016/j.atmosres.2021.105681,
Mishra A.K., Kumar P., Dubey A.K., Javed A., Saharwardi M.S., Sein D.V., Martyanov S.D., Jacob D. (2021) Impact of horizontal resolution on monsoon precipitation for CORDEX-South Asia: A regional earth system model assessment, Atm. Res., Vol. 259, 105681
DOI: 10.1016/j.envres.2021.111573,
Aditya Kumar Dubey, Preet Lal, Pankaj Kumar, Amit Kumar, Anton Y. Dvornikov (2021). Present and future projections of heatwave hazard-risk over India: A regional earth system model assessment, Environmental Research, Volume 201, 111573
1143: FORCES
DOI: 10.5194/acp-2020-641,
Kretzschmar, J., J. Stapf, D. Klocke, M. Wendisch, and J. Quaas, Employing airborne radiation and cloud microphysics observations to improve cloud representation in ICON at kilometer-scale resolution in the Arctic, Atmos. Chem. Phys., in press, doi:10.5194/acp-2020-641, 2020.
DOI: 10.1175/JCLI-D-22-0513.1,
Stjern, C., P. Forster, H. Jia, C. Jouan, M. Kasoar, G. Myhre, D. Olivié, J. Quaas, B. Samset, M. Sand, T. Takemura, A. Voulgarakis, and C. Wells, The time scales of climate responses to carbon dioxide and aerosols, J. Climate, 36, 3537-3551, doi:10.1175/JCLI-D-22-0513.1, 2023.
1142: Nunataryuk WP8
DOI: 10.5194/tc-2021-231,
Wilkenskjeld, S., Miesner, F., Overduin, P.P., Puglini, M. and Brovkin, V: Strong increase in thawing of subsea permafrost in the 22nd century caused by anthropogenic climate change,The Cryosphere, 16, 1057–1069, https://doi.org/10.5194/tc-16-1057-2022, 2022
1140: WRF simulations across scales (WRFSIM)
DOI: 10.5194/gmd-13-1959-2020,
Schwitalla, T., Warrach-Sagi, K., Wulfmeyer, V., and Resch, M.: Near-global-scale high-resolution seasonal simulations with WRF-Noah-MP v.3.8.1, Geosci. Model Dev., 13, 1959–1974, https://doi.org/10.5194/gmd-13-1959-2020, 2020.
DOI: 10.5194/gmd-10-2031-2017,
Schwitalla, T., Bauer, H.-S., Wulfmeyer, V., and Warrach-Sagi, K.: Continuous high-resolution midlatitude-belt simulations for July–August 2013 with WRF, Geosci. Model Dev., 10, 2031–2055, https://doi.org/10.5194/gmd-10-2031-2017, 2017.
DOI: 10.1002/qj.3711,
Schwitalla, T, Branch, O, Wulfmeyer, V. Sensitivity study of the planetary boundary layer and microphysical schemes to the initialization of convection over the Arabian Peninsula. QJR Meteorol Soc. 2020; 146: 846– 869. https://doi.org/10.1002/qj.3711
DOI: 10.3402/tellusa.v67.25047,
Bauer, H.-S., T. Schwitalla, V. Wulfmeyer, A. Bakhshaii, U. Ehret, M. Neuper, and O. Caumont, 2015: Quantitative precipitation estimation based on high-resolution numerical weather prediction and data assimilation with WRF - a performance test. Tellus A 67(1), 25047.
DOI: 10.1080/16000870.2020.1761740,
Bauer, H.-S., S.K. Muppa, V. Wulfmeyer, A. Behrendt, K. Warrach-Sagi, and F. Späth, 2020: Multi-nested WRF simulations for studying planetary boundary layer processes on the turbulence-permitting scale in a realistic mesoscale environment. Tellus A 72(1), 1-28.
DOI: 10.2151/jmsj.2020-049,
Thundathil, R., T. Schwitalla, A. Behrendt, S. K. Muppa, S. Adam, and V. Wulfmeyer, 2020: Assimilation of lidar water vapour mixing ratio and temperature profiles into a convection-permitting model. J. Meteorol. Soc. Jpn. 98(4).
DOI: 10.1002/joc.6809,
Mori, P., T. Schwitalla, M. Ware, K. Warrach‐Sagi, and V. Wulfmeyer, 2020: Downscaling of seasonal ensemble forecasts to the convection‐permitting scale over the Horn of Africa using the WRF model. Int. J. Climatol.
DOI: 10.1029/2019JD031989,
Jach, L., K. Warrach‐Sagi, J. Ingwersen, E. Kaas, and V. Wulfmeyer, 2020: Land cover impacts on land‐atmosphere coupling strength in climate simulations with WRF over Europe. J. Geophys. Res-Atmos. 125(18), 1-21.
1139: Ozone-gravity wave interaction
Gabriel, A.: Ozone-Gravity Wave Interaction in the Upper Stratosphere/Lower Mesosphere, ACPD, accepted for preprint posting, 2021.
1137: Radiative Effects of Marine Boundary Layer Clouds
DOI: 10.5194/acp-22-10247-2022,
J. Danker, O. Sourdeval, I. L. McCoy, R. Wood and A. Possner (2022):Exploring relations between cloud morphology, cloud phase, and cloud radiative properties in Southern Ocean’s stratocumulus clouds , Atmos. Chem. Phys., doi:10.5194/acp-22-10247-2022.
DOI: 10.5194/acp-2021-559,
Christensen, M., Gettelman, A., Cermak, J., Dagan, G., Diamond, M., Douglas, A., Feingold, G., Glassmeier, F., Goren, T., Grosvenor, D., Gryspeerdt, E., Kahn, R., Li, Z., Ma, P.-L., Malavelle, F., McCoy, I., McCoy, D., McFarquhar, G., Mülmenstädt, J., Pal, S., Possner, A., Povey, A., Quaas, J., Rosenfeld, D., Schmidt, A., Schrödner, R., Sorooshian, A., Stier, P., Toll, V., Watson-Parris, D., Wood, R., Yang, M., and Yuan, T (2022).: Opportunistic Experiments to Constrain Aerosol Effective Radiative Forcing, Atmos. Chem. Phys., https://doi.org/10.5194/acp-2021-559.
1135: 3-d cloud-radiative effects on midlatitude cyclones and their predictability
DOI: 10.5194/wcd-2022-35,
Keshtgar, B., Voigt, A., Hoose, C., Riemer, M., and Mayer, B.: Cloud-radiative impact on the dynamics and predictability of an idealized extratropical cyclone, Weather Clim. Dynam. Discuss. [preprint], https://doi.org/10.5194/wcd-2022-35, in review, 2022.
DOI: https://phaidra.univie.ac.at/open/o:1539084,
Butz, K.: The radiative impact of clouds on idealized extratropical cyclones, 1539084, Master’s thesis, University of Vienna, https://phaidra.univie.ac.at/open/o:1539084, 2022.
DOI: 10.5194/wcd-4-115-2023,
Keshtgar, B., Voigt, A., Hoose, C., Riemer, M., and Mayer, B.: Cloud-radiative impact on the dynamics and predictability of an idealized extratropical cyclone, Weather Clim. Dynam., 4, 115–132, https://doi.org/10.5194/wcd-4-115-2023, 2023.
DOI: 10.5194/egusphere-2023-1699,
Keshtgar, B., Voigt, A., Mayer, B., and Hoose, C.: Uncertainties in cloud-radiative heating within an idealized extratropical cyclone, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2023-1699, 2023.
DOI: 10.1029/2023GL103188,
Voigt, A., Keshtgar, B., & Butz, K. (2023). Tug-of-war on idealized midlatitude cyclones between radiative heating from low-level and high-level clouds. Geophysical Research Letters, 50, e2023GL103188. https://doi.org/10.1029/2023GL103188
1132: MIMETIC - Modeling atmospherIc METhan for Innovative earth system Chemistry climate research
DOI: 10.5194/acp-21-731-2021,
Stecher, L., Winterstein, F., Dameris, M., Jöckel, P., Ponater, M., and Kunze, M.: Slow feedbacks resulting from strongly enhanced atmospheric methane mixing ratios in a chemistry–climate model with mixed-layer ocean, Atmos. Chem. Phys., 21, 731–754, https://doi.org/10.5194/acp-21-731-2021, 2021.
1128: Investigation of the influence of air pollution on DMS and its role in the Earth's climate
DOI: 10.1029/2021GL094068,
Hoffmann, E. H., Heinold, B., Kubin, A., Tegen, I., & Herrmann, H. (2021). The importance of the representation of DMS oxidation in global chemistry-climate simulations. Geophysical Research Letters, 48, e2021GL094068. https://doi.org/10.1029/2021GL094068
DOI: 10.1126/science.abn6012,
Berndt, T., Chen, J., Kjærgaard, E. R., Møller, K. H., Tilgner, A., Hoffmann, E. H., Herrmann, H., Crounse, J. D., Wennberg, P. O., & Kjaergaard, H. G. (2022). Hydrotrioxide (ROOOH) formation in the atmosphere. Science, 376, 979-982. https://doi.org/10.1126/science.abn6012
1124: CCiCC
DOI: 10.1029/2019GL085311,
Spring, A., and Ilyina, T. (2020). Predictability Horizons in the Global Carbon Cycle Inferred from a Perfect-Model Framework. Geophysical Research Letters, e2019GL08531, https://doi.org/10.1029/2019GL085311
DOI: 10.1002/essoar.10508552.1,
Li, H., Ilyina, T., Loughran, T., Spring, A., and Pongratz, J. (2022). Reconstructions and predictions of the global carbon budget with an emission-driven earth system model. Geophysical Research Letters, in revision, https://www.essoar.org/doi/10.1002/essoar.10508552.1
1123: AtMoDat
DOI: 10.5446/47696,
Heydebreck, Daniel; Ganske, Anette; Kraft, Angelina; Kaiser, Amandine: The Data Maturity Indicator Concept. Heydebreck, Daniel (DKRZ), 2020
DOI: 10.1127/metz/2020/1042,
Ganske, Anette; Heydebreck, Daniel; Höck, Heinke; Kraft, Angelina; Quaas, Johannes ; Kaiser, Amandine: A short guide to increase fairness of atmospheric model data, Meteorologische Zeitschrift (2020)
DOI: 10.35095/WDCC/ATMODAT_STANDARD_EN_V3_0,
Ganske, Anette, Kraft, Angelina, Kaiser, Amandine, Heydebreck, Daniel, Lammert, Andrea, Hoeck, Heinke, Thiemann, Hannes, Voss, Vivien, Grawe, David, Leitl, Bernd, Schlünzen, K. Heinke, Kretzschmar, Jan, and Quaas, Johannes: ATMODAT Standard (v3.0), https://doi.org/10.35095/WDCC/ATMODAT_STANDARD_EN_V3_0, 2021.
DOI: 10.1127/metz/2020/1042,
Ganske, Anette; Heydebreck, Daniel; Höck, Heinke; Kraft, Angelina; Quaas, Johannes ; Kaiser, Amandine: A short guide to increase fairness of atmospheric model data, Meteorologische Zeitschrift (2020)
DOI: 10.5194/ems2021-298,
Heil, A., Ganske, A., Lammert, A., Heydebreck, D., and Thiemann, H.: The ATMODAT Standard enhances FAIRness of Atmospheric Model data, EMS Annual Meeting 2021, online, 6–10 Sep 2021, EMS2021-298, https://doi.org/10.5194/ems2021-298, 2021
DOI: 10.5194/ems2021-420,
Voss, V., Grawe, D., and Schlünzen, K. H.: How to develop and apply a model data standard on microscale model data., EMS Annual Meeting 2021, online, 6–10 Sep 2021, EMS2021-420, https://doi.org/10.5194/ems2021-420, 2021.
DOI: 10.5194/egusphere-egu21-8144,
Lammert, A., Ganske, A., Kaiser, A., and Kraft, A.: A Standard for the FAIR publication of Atmospheric Model Data developed by the AtMoDat Project, pico, https://doi.org/10.5194/egusphere-egu21-8144, 2021.
DOI: 10.5194/egusphere-egu21-2139,
Ganske, A., Kaiser, A., Kraft, A., Heydebreck, D., Lammert, A., and Thiemann, H.: EASYDAB (Earth System Data Branding) for FAIR and Open Data, pico, https://doi.org/10.5194/egusphere-egu21-2139, 2021.
DOI: 10.1002/essoar.10504946.1,
Heydebreck, D., Kaiser, A., Ganske, A., Kraft, A., Schluenzen, H., and Voss, V.: The ATMODAT Standard enhances FAIRness of Atmospheric Model data, Atmospheric Sciences, https://doi.org/10.1002/essoar.10504946.1, 2020.
DOI: 10.1002/essoar.10504947.1,
Kaiser, A., Heydebreck, D., Ganske, A., and Kraft, A.: Making the Maturity of Data and Metadata Visible with Datacite DOIs, Atmospheric Sciences, https://doi.org/10.1002/essoar.10504947.1, 2020.
DOI: 10.1002/essoar.10505067.1,
Voss, V., Schlünzen, K. H., Grawe, D., Heydebreck, D., and Ganske, A.: First results of a model user survey on a mi-cro-scale model data standard, Atmospheric Sciences, https://doi.org/10.1002/essoar.10505067.1, 2020.
DOI: 10.5194/dkt-12-7,
Ganske, A., Kaiser, A., and Kraft, A.: Warum und wie Sie Klimamodelldaten veröffentlichen sollten, https://doi.org/10.5194/dkt-12-7, 2020.
DOI: 10.5194/dkt-12-31,
Voss, V., Schlünzen, K.H. and Grawe, D.: Entwicklung eines Datenstandards für mikroskalige Modellergebnisse,https://doi.org/10.5194/dkt-12-31, 2020.
DOI: doi:10.5281/zenodo.3667635,
Karsten, P., Neumann, D., and Thiemann, H.: Towards increasing the reusability of atmospheric model data: adapt-ing metadata standards and introducing quality criteria.doi:10.5281/zenodo.3667635, 2020.
DOI: 10.35095/WDCC/ATMODAT_STANDARD_EN_V3_0,
Ganske, Anette, Kraft, Angelina, Kaiser, Amandine, Heydebreck, Daniel, Lammert, Andrea, Hoeck, Heinke, Thiemann, Hannes, Voss, Vivien, Grawe, David, Leitl, Bernd, Schlünzen, K. Heinke, Kretzschmar, Jan, and Quaas, Johannes: ATMODAT Standard (v3.0), https://doi.org/10.35095/WDCC/ATMODAT_STANDARD_EN_V3_0, 2021.
DOI: 10.26050/WDCC/LambWTyRSetAndGaleDaysOverTheNo,
Loewe, Peter (2022). Lamb weather types (reduced set) and gale days over the North Sea since 1948 based on NCEP/NCAR Reanalysis 1 daily mean sea level pressure fields. World Data Center for Climate (WDCC) at DKRZ. https://doi.org/10.26050/WDCC/LambWTyRSetAndGaleDaysOverTheNo
DOI: 10.26050/WDCC/Aerocom_ECHAM6-HAM2_rain,
Mülmenstädt, Johannes (2022). ECHAM6-HAM2 model experiments to characterize the effect of parameterized autoconversion/warm rain on cloud lifetime. World Data Center for Climate (WDCC) at DKRZ. https://doi.org/10.26050/WDCC/Aerocom_ECHAM6-HAM2_rain
DOI: 10.35095/WDCC/EASYDAB_Guideline_v1.2,
Ganske, Anette; Burger, Felix; Thiemann, Hannes; Lammert, Andrea: EASYDAB Guideline (v1.2). World Data Center for Climate (WDCC) at DKRZ. https://doi.org/10.35095/WDCC/EASYDAB_Guideline_v1.2, 2022.
DOI: 10.1127/metz/2020/1042,
Ganske, Anette; Heydebreck, Daniel; Höck, Heinke; Kraft, Angelina; Quaas, Johannes ; Kaiser, Amandine: A short guide to increase fairness of atmospheric model data, Meteorologische Zeitschrift (2020)
DOI: 10.11588/HEIBOOKS.979.C13723,
Ganske, A., Voss, V., Kaiser, A., Heil, A., and Lammert, A.: Die Veröffentlichung von Standardisierten Daten aus der Stadtklimaforschung, https://doi.org/10.11588/HEIBOOKS.979.C13723, 2022.
1122: Quality Assurance for the Climate Data Store C3S_512, Copernicus Climate Change Service
DOI: DOI: 10.1127/metz/2017/0790,
Romanova, V., A. Hense,S. Wahl, S. Brune, J. Baehr, 2017: Skill assessment of different ensemble generation schemes for retrospective predictions of surface freshwater fluxes on inter and multiannual timescales. – Meteorol. Z. 27, 111–124, DOI: 10.1127/metz/2017/0790
1118: DyKliLand
DOI: 10.3390/ecas2020-08464,
Zhang, H., M. H. Tölle: Evaluation of agricultural related extreme events in hindcast COSMO-CLM simulations over Central Europe, ECAS, November 2020, https://doi.org/10.3390/ecas2020-08464
DOI: 10.3389/feart.2021.722244,
Tölle, M. H. and E. Churiulin (2021): Sensitivity of convection-permitting regional climate simulations to changes in land cover input data: role of land surface characteristics for temperature and climate extremes, Front. Earth Sci. - Atmospheric Science, DOI: 10.3389/feart.2021.722244
1117: Study Of the Development of Extreme Events over Permafrost areas - SODEEP
DOI: 10.5194/egusphere-egu2020-16115,
Georgievski Goran, Stefan Hagemann, Dmitry Sein, Dmitry Drozdov, Andrew Gravis, Vladimir Romanovsky, Dmitry Nicolsky, Alexandru Onaca, Florina Ardelean, Marinela Chețan, and Andrei Dornik: Climate extremes relevant for permafrost degradation, EGU2020 https://doi.org/10.5194/egusphere-egu2020-16115
DOI: 10.3390/rs12233999,
Ardelean, F.; Onaca, A.; Chețan, M.-A.; Dornik, A.; Georgievski, G.; Hagemann, S.; Timofte, F.; Berzescu, O. Assessment of Spatio-Temporal Landscape Changes from VHR Images in Three Different Permafrost Areas in the Western Russian Arctic. Remote Sens. 2020, 12, 3999. https://doi.org/10.3390/rs12233999
DOI: 10.3390/rs12111863,
Cheţan, M.-A.; Dornik, A.; Ardelean, F.; Georgievski, G.; Hagemann, S.; Romanovsky, V.E.; Onaca, A.; Drozdov, D.S. 35 Years of Vegetation and Lake Dynamics in the Pechora Catchment, Russian European Arctic. Remote Sens. 2020, 12, 1863. https://doi.org/10.3390/rs12111863
1114: Development and evaluation of cloud glaciation processes in ECHAM-HAMMOZ
DOI: 10.1029/2021GL092687,
Villanueva, D., Neubauer, D., Gasparini, B., Ickes, L., & Tegen, I. (2021). Constraining the impact of dust-driven droplet freezing on climate using cloud- top-phase observations. Geophysical Research Letters, 48, e2021GL092687. https://doi.org/10.1029/2021GL092687
DOI: 10.1029/2021gl092687,
Villanueva, D., Neubauer, D., Gasparini, B., Ickes, L., & Tegen, I. Constraining the impact of dust-driven droplet freezing on climate using cloud- top-phase observations. Geophysical Research Letters, 48(11), 2021b.
DOI: 10.1088/1748-9326/aca16d,
Villanueva, D., Possner, A., Neubauer, D., Gasparini, B., Lohmann, U., & Tesche, M. Mixed-phase regime cloud thinning could help restore sea ice. Environmental Research Letters, 17(11), 114057, doi: 10.1088/1748-9326/aca16d, 2022.
1112: Improve processes on regional and local climate induced by land-atmosphere feedbacks
DOI: 10.5194/bg-2021-294,
Churiulin, E., V. Kopeikin, M. Übel, J. Helmert, J.-M. Bettems and M. H. Tölle (2021): Improving the stomatal resistance, photosynthesis and two big leaf algorithms for grass in the regional climate model COSMO-CLM, Biogeosciences Discussion, DOI: 10.5194/bg-2021-294
DOI: 10.5194/tc-16-1383-2022,
Mooney, P. A., D. Rechid, E. L. Davin, E. Katragkou, N. de Noblet-Ducoudré, M. Breil, R. M. Cardoso, A. S. Daloz, P. Hoffmann, D. C.A. Lima, R. Meier, P. M.M. Soares, G. Sofiadis, S. Strada, G. Strandberg, M. H. Tölle and M. T. Lund (2022): Land-atmosphere interactions in sub-polar and alpine climates in the CORDEX FPS LUCAS models - Part 2: The role of changing vegetation, Cryosphere, 16, 1383-1397, DOI: 10.5194/tc-16-1383-2022
DOI: 10.5194/tc-16-2403-2022,
Daloz, A. S., C. Schwingshackl, P. Mooney, S. Strada, D. Rechid, E. L. Davin, E. Katragkou, N. de Noblet-Ducoudré, M. Belda, T. Halenka, M. Breil, R. M. Cardoso, P. Hoffmann, D. C.A. Lima, R. Meier, P. M.M. Soares, G. Sofiadis, G. Strandberg, M. H. Tölle and M. T. Lund (2022): Land-atmosphere interactions in sub-polar and alpine climates in the CORDEX flagship pilot study Land Use and Climate Across Scales (LUCAS) models – Part 1. Evaluation of the snow-albedo effect, The Cryosphere, 16, 2403-2419, DOI: 10.5194/tc-16-2403-2022
DOI: 10.5194/gmd-15-595-2022,
Sofiadis, G., Katragkou, E., Davin, E., Rechid, D., de Noblet-Ducoudré, N., Soares, P., Cardoso, R., Mooney, R., Meier, R., Breil, M., Warrach Sagi, K., Tölle, M. H., Jach, L., Strada, S., Hoffmann, P. (2022): Afforestation impact on soil temperature in regional climate model simulations over Europe. Geophysical Model Development, DOI: 10.5194/gmd-15-595-2022
1111: KIT-ELVIC – Climate Extremes in the Lake Victoria Basin
DOI: 10.1007/s00382-022-06541-5,
van Lipzig NPM, Van de Walle J, Berthou S, Coppola E, Demuzere M, Fink AH, Finney DL, Glazer R, Ludwig P, Marsham JH, Nikulin G, Pinto JG, Rowell DP, Thiery W (2022). Representation of precipitation and top-of-atmosphere radiation in a multimodel convection-permitting ensemble for the Lake Victoria Basin (East-Africa), Clim Dyn. https://doi.org/10.1007/s00382-022-06541-5Representation of precipitation and top-of-atmosphere radiation in a multi-model convection-permitting ensemble for the Lake Victoria Basin (East-Africa). Clim Dyn (2022). https://doi.org/10.1007/s00382-022-06541-5
1110: Simulating Southern African precipitation during the last 65 years with a high-resolution atmospheric CCLM simulation
DOI: 10.5194/wcd-2022-47,
Tim, N., Zorita, E., Hünicke, B., and Ivanciu, I.: The impact of the Agulhas Current System on precipitation in southern Africa in regional climate simulations covering the recent past and future, Weather Clim. Dynam. Discuss. [preprint], https://doi.org/10.5194/wcd-2022-47, in review, 2022.
1104: Atmosphärische Spurenstoffe (ATS)
DOI: 10.5194/amt-14-2717-2021,
Wolff, S., Ehret, G., Kiemle, C., Amediek, A., Quatrevalet, M., Wirth, M., and Fix, A.: Determination of the emission rates of CO2 point sources with airborne lidar, Atmos. Meas. Tech., 14, 2717–2736, https://doi.org/10.5194/amt-14-2717-2021, 2021.
DOI: 10.5194/amt-13-731- 2020,
Wilzewski, J. S., Roiger, A., Strandgren, J., Landgraf, J., Feist, D. G., Velazco, V. A., Deutscher, N. M., Morino, I., Ohyama, H., Té, Y., Kivi, R., Warneke, T., Notholt, J., Dubey, M., Sussmann, R., Rettinger, M., Hase, F., Shiomi, K., and Butz, A.: Spectral sizing of a coarse-spectral-resolution satellite sensor for XCO2, Atmos. Meas. Tech., 13, 731–745, https://doi.org/10.5194/amt-13-731- 2020, 2020.
DOI: 10.5194/amt-13-2887-2020,
Strandgren, J., Krutz, D., Wilzewski, J., Paproth, C., Sebastian, I., Gurney, K. R., Liang, J., Roiger, A., and Butz, A.: Towards spaceborne monitoring of localized CO2 emissions: an instrument concept and first performance assessment, Atmos. Meas. Tech., 13, 2887–2904, https://doi.org/10.5194/amt-13-2887-2020, 2020.
DOI: 10.5194/acp-21-8791-2021,
Kostinek, J., Roiger, A., Eckl, M., Fiehn, A., Luther, A., Wildmann, N., Klausner, T., Fix, A., Knote, C., Stohl, A., and Butz, A.: Estimating Upper Silesian coal mine methane emissions from airborne in situ observations and dispersion modeling, Atmos. Chem. Phys., 21, 8791–8807, https://doi.org/10.5194/acp-21-8791-2021, 2021.
DOI: 10.1029/2020gl091266,
Eckl, M., Roiger, A., Kostinek, J., Fiehn, A., Huntrieser, H., Knote, C., Barkley, Z. R., Ogle, S. M., Baier, B. C., Sweeney, C. and Davis, K. J.: Quantifying Nitrous Oxide Emissions in the U.S. Midwest: A Top-Down Study Using High Resolution Airborne In-Situ Observations, Geophys. Res. Lett., 48(5), e2020GL091266, doi: 10.1029/2020gl091266, 2021.
1103: AWI-CM with carbon cycle
DOI: 10.5194/bg-2023-182,
Heinze et al. 2023 (in review): Reviews and syntheses: Abrupt ocean biogeochemical change under human-made climatic forcing – warming, acidification, and deoxygenation. Biogeosciences Discussions, https://doi.org/10.5194/bg-2023-182
DOI: 10.1038/s41558-022-01476-5,
Santana-Falcón and Séférian, 2022: Climate change impacts the vertical structure of marine ecosystem thermal ranges. Nature Climate Change, 12
Mongwe et al., 2023 (in revision at Nat. Comm.): Poleward migration of the dominant CO2 sink region in the Southern Ocean under high emission-scenario.
1101: PAMIP: Polar Amplification Model Intercomparison Project
DOI: 10.1038/s41467-022-28283-y,
D. M. Smith, R. Eade, M. B. Andrews, H. Ayres, A. Clark, S. Chripko, C. Deser, N. J. Dunstone, J. García-Serrano, G. Gastineau, L. S. Graff, S. C. Hardiman, B. He, L. Hermanson, T. Jung, J. Knight, X. Levine, G. Magnusdottir, E. Manzini, D. Matei, M. Mori, R. Msadek, P. Ortega, Y. Peings, A. A. Scaife, J. A. Screen, M. Seabrook, T. Semmler, M. Sigmond, J. Streffing, L. Sun & A. Walsh (2022): Robust but weak winter atmospheric circulation response to future Arctic sea ice loss. Nature Communications, 13:727, DOI: 10.1038/s41467-022-28283-y
DOI: 10.5194/egusphere-2022-953,
Riebold, J., A. Richling, U. Ulbrich, H. Rust, T. Semmler, and D. Handorf (2022): On the linkage between future Arctic sea ice retreat, Euro-Atlantic circulation regimes and temperature extremes over Europe. EGUsphere, DOI: 10.5194/egusphere-2022-953
1097: Multiscale Dynamics of Atmospheric Gravity Waves
Bölöni, G., Y.-H. Kim, S. Borchert, and U. Achatz. 2020. “Towards transient subgrid-scale gravity wave representation in atmospheric models. Part I: Propagation model including direct wave-mean-flow Interactions.” J. Atmos. Sci., revised
DOI: 10.1175/JAS-D-20-0066.1,
Kim, Y.-H., G. Bölöni, S. Borchert, H.-Y. Chun, and U. Achatz. 2020. “Towards transient subgrid-scale gravity wave representation in atmospheric models. Part II: Wave intermittency simulated with convective sources.” J. Atmos. Sci., doi:10.1175/JAS-D-20-0066.1
DOI: 10.1175/JAS-D-20-0065.1,
Bölöni, G., Y.-H. Kim, S. Borchert, and U. Achatz, 2021: Toward transient subgrid-scale gravity wave representation in atmospheric models. Part I: Propagation model including nondissipative wave–mean-flow interactions. J. Atmos. Sci., 78, 1317-1338, https://doi.org/10.1175/JAS-D-20-0065.1.
DOI: 10.1175/JAS-D-20-0066.1,
Kim, Y.-H., G. Bölöni, S. Borchert, H.-Y. Chun, and U. Achatz. 2020. “Towards transient subgrid-scale gravity wave representation in atmospheric models. Part II: Wave intermittency simulated with convective sources.” J. Atmos. Sci., doi:10.1175/JAS-D-20-0066.1
DOI: 10.1175/JAS-D-20-0065.1,
Bölöni, G., Y.-H. Kim, S. Borchert, and U. Achatz, 2021: Toward transient subgrid-scale gravity wave representation in atmospheric models. Part I: Propagation model including nondissipative wave–mean-flow interactions. J. Atmos. Sci., 78, 1317-1338, https://doi.org/10.1175/JAS-D-20-0065.1.
DOI: 10.1175/JAS-D-20-0066.1,
Kim, Y.-H., G. Bölöni, S. Borchert, H.-Y. Chun, and U. Achatz. 2020. “Towards transient subgrid-scale gravity wave representation in atmospheric models. Part II: Wave intermittency simulated with convective sources.” J. Atmos. Sci., doi:10.1175/JAS-D-20-0066.1
DOI: 10.1029/2021GL095226,
Kim, Y.-H., and U. Achatz, 2021: Interaction Between Stratospheric Kelvin Waves and Gravity Waves in the Easterly QBO Phase. Geophys. Res. Lett., 48, e2021GL095226
DOI: 10.48550/ARXIV.2309.15301,
Kim, Y.-H., Völker, G.S., Bölöni, G., Zängl, G., and U. Achatz, 2023: Crucial Role Obliquele Propagating GRavity Waves in Tropical Stratospheric Circulation. Nature Comm., submitted
DOI: 10.48550/arXiv.2309.11257,
Völker, G.S., Bölöni, G., Kim, Y.-H., Zängl, G., and U. Achatz, 2023: MS-GWaM: A 3-dimensional transient gravity-wave parameterization for atmospheric models. J. Atmos. Sci., submitted
1096: Turbulence resolving simulation of atmospheric boundary layer processes
DOI: doi.org/10.1002/qj.3907,
Westerhuis, S, Fuhrer, O, Bhattacharya, R, Schmidli, J, Bretherton, C. Effects of terrain‐following vertical coordinates on simulation of stratus clouds in numerical weather prediction models. Q J R Meteorol Soc. 2020; 1– 12. https://doi.org/10.1002/qj.3907
DOI: doi.org/10.3390/atmos11040425,
Bašták Ďurán, I.; Schmidli, J.; Bhattacharya, R. A Budget-Based Turbulence Length Scale Diagnostic. Atmosphere 2020, 11, 425.
DOI: doi.org/10.1029/2019JD031178,
Anurose, T. J., Bašták Ďurán, I., Schmidli, J. & Seifert, A. (2020). Understanding the moisture variance in precipitating shallow cumulus convection. Journal of Geophysical Research: Atmospheres, 125, e2019JD031178. https://doi.org/10.1029/2019JD031178
DOI: 10.1002/qj.3907,
Westerhuis, S., O. Fuhrer, R. Bhattacharya, C. Bretherton, J. Schmidli, 2021: Effects of terrain-following vertical coordinates on simulation of stratus clouds in numerical weather prediction models. Q. J. Roy. Met. Soc., 147, 94-105. DOI: 10.1002/qj.3907.
Thomas, M. L., Baštak Ďurán, I., & Schmidli, J. (2021). Toward parametrization of precipitating shallow cumulus cloud organization via moisture variance. Journal of Geophysical Research: Atmospheres, 126, e2021JD034939. https://doi.org/10.1029/2021JD034939
DOI: 10.3390/atmos12070906,
Bašták Ďurán, I.; Köhler, M.; Eichhorn-Müller, A.; Maurer, V.; Schmidli, J.; Schomburg, A.; Klocke, D.; Göcke, T.; Schäfer, S.; Schlemmer, L.; Dewani, N. The ICON Single-Column Mode. Atmosphere 2021, 12, 906. https://doi.org/10.3390/atmos12070906
DOI: 10.1029/2021MS002922,
Bastak Duran, I., M. Sakradzija, and J. Schmidli, 2022: The two-energies turbulence scheme coupled to the assumed PDF method. Journal of Advances in Modeling Earth Systems, 14, 1–19
DOI: doi:10.5194/acp-22-319-2022,
Boutle, I., and coauthors, 2022: Demistify: a large-eddy simulation (LES) and single-column model (SCM) intercomparison of radiation fog. Atmospheric Chemistry and Physics, 22, 319–333
DOI: 10.5194/gmd-15-5195-2022,
Quimbayo-Duarte, Julian und Wagner, Johannes und Wildmann, Norman und Gerz, Thomas und Schmidli, Juerg (2022) Evaluation of a forest parameterization to improve boundary layer flow simulations over complex terrain. A case study using WRF-LES V4.0.1. Geoscientific Model Development, 15 (13), Seiten 5195-5209. Copernicus Publications.
DOI: doi:10.3390/atmos13040605,
Reilly, S., I. Bastak Duran, A. T. Jacob, and J. Schmidli, 2022: An evaluation of algebraic turbulence length scale formulations. atmosphere, 13, 605
DOI: 10.1175/JAS-D-21-0195.1,
Weinkaemmerer, J., I. Bastak Duran, and J. Schmidli, 2022a: The impact of large-scale winds on boundary layer structure, thermally driven flows, and exchange processes over mountainous terrain. Journal of the Atmospheric Sciences, 79, 2685–2701
DOI: doi:10.1002/qj.4372,
Weinkaemmerer, J., I. Bastak Duran, S. Westerhuis, and J. Schmidli, 2022b: Stratus over rolling terrain: Large-eddy simulation reference and sensitivity to grid spacing and numerics. Quarterly Journal of the Royal Meteorological Society, Early View, 1–12,
DOI: 10.1002/qj.4551,
Weinkämmerer, J., M. Göbel, S. Serafin, I. Bašták Ďurán, and J. Schmidli, 2023: Boundary-layer plumes over mountainous terrain in idealized large-eddy simulations. Q. J. Roy. Meteorol. Soc.
DOI: 10.3390/ meteorology2010007,
Schmidli, J., and J. Quimbayo-Duarte, 2023: Dirunal valley winds in a deep alpine valley: Model results. Meteorology, 2, 87-106.
DOI: 10.1029/2021MS002922,
Bastak Duran, I., M. Sakradzija, and J. Schmidli, 2022: The two-energies turbulence scheme coupled to the assumed PDF method. Journal of Advances in Modeling Earth Systems, 14, 1–19
1093: Revisiting the volcanic impact on atmosphere and climate – preparations for the next big volcanic eruption (VolImpact)
DOI: doi:10.1127/metz/2019/0999,
von Savigny, C., Timmreck, C., Buehler, S., Burrows, J., Giorgetta, M., Hegerl, G., Horvath, A., Hoshyaripour, G., Hoose, C., Quaas, J., Malinina, E., Rozanov, A., Schmidt, H., Thomason, L., Toohey, M. & Vogel, B. (2020). The Research Unit VolImpact: Revisiting the volcanic impact on atmosphere and climate – preparations for the next big volcanic eruption. Meteorologische Zeitschrift, 3-18.
DOI: 10.1029/2020JD034450,
Azoulay, A., Schmidt, H., and Timmreck, C.: The Arctic polar vortex response to volcanic forcing of different strengths, J. Geophys. Res., 126, e2020JD034450. https://doi.org/10.1029/2020JD034450, 2021.
DOI: 10.5194/cp-17-633-2021,,
Niemeier, U., Riede, F., and Timmreck, C.: Simulation of ash clouds after a Laacher See-type eruption, Clim. Past, 17, 633–652, https://doi.org/10.5194/cp-17-633-2021, 2021.
DOI: 10.5194/acp-21-6565-2021,
Kroll, C. A., Dacie, S., Azoulay, A., Schmidt, H., and Timmreck, C.: The impact of volcanic eruptions of different magnitude on stratospheric water vapor in the tropics, Atmos. Chem. Phys., 21, 6565–6591, https://doi.org/10.5194/acp-21-6565-2021, 2021.
DOI: 10.5194/acp-2020-749,
Malinina, E., Rozanov, A., Niemeier, U., Peglow, S., Arosio, C., Wrana, F., Timmreck, C., von Savigny, C., and Burrows, J. P.: Changes in stratospheric aerosol extinction coefficient after the 2018 Ambae eruption as seen by OMPS-LP and ECHAM5-HAM, Atmos. Chem. Phys. Discuss. [preprint], https://doi.org/10.5194/acp-2020-749, in review, 2020.
DOI: 10.5194/acp-2021-45,
Bruckert, J., Hoshyaripour, G. A., Horvath, A., Muser, L., Prata, F. J., Hoose, C., and Vogel, B.: Online treatment of eruption dynamics improves the volcanic ash and SO2 dispersion forecast: case of the Raikoke 2019 eruption, Atmos. Chem. Phys. Discuss. [preprint], https://doi.org/10.5194/acp-2021-459, in review, 2021.
DOI: 10.5194/acp-20-15015-2020,
Muser, L. O., Hoshyaripour, G. A., Bruckert, J., Horváth, Á., Malinina, E., Wallis, S., Prata, F. J., Rozanov, A., von Savigny, C., Vogel, H., and Vogel, B.: Particle aging and aerosol–radiation interaction affect volcanic plume dispersion: evidence from the Raikoke 2019 eruption, Atmos. Chem. Phys., 20, 15015–15036, doi.org/10.5194/acp-20-15015-2020, 2020.
DOI: 10.5194/cp-17-1455-2021,
Timmreck, C., Toohey, M., Zanchettin, D., Brönnimann, S., Lundstad, E., and Wilson, R.: The unidentified eruption of 1809: a climatic cold case, Clim. Past, 17, 1455–1482, https://doi.org/10.5194/cp-17-1455-2021, 2021.
DOI: doi:10.1088/1748-9326/ac62af,
D'Agostino, R. & Timmreck, C. (2022). Sensitivity of regional monsoons to idealised equatorial volcanic eruption of different sulfur emission strengths. Environmental Research Letters, 17: 054001. doi:10.1088/1748-9326/ac62af
DOI: 10.5194/acp-22-3535-2022,
Bruckert, J., Hoshyaripour, G. A., Horváth, Á., Muser, L. O., Prata, F. J., Hoose, C., and Vogel, B.: Online treatment of eruption dynamics improves the volcanic ash and SO2 dispersion forecast: case of the 2019 Raikoke eruption, Atmos. Chem. Phys., 22, 3535–3552, https://doi.org/10.5194/acp-22-3535-2022, 2022.
DOI: 10.1175/JCLI-D-22-0306.1,
Günther, M., H. Schmidt, C. Timmreck and M. Toohey, Climate feedback to stratospheric aerosol forcing explained by pattern effect, Journal of Climate,https://doi.org/10.1175/JCLI-D-22-0306.1
DOI: 10.5194/acp-22-8457-2022,
Haghighatnasab, M., Kretzschmar, J., Block, K., and Quaas, J.: Impact of Holuhraun volcano aerosols on clouds in cloud-system-resolving simulations, Atmos. Chem. Phys., 22, 8457–8472, https://doi.org/10.5194/acp-22-8457-2022
DOI: 10.1029/2022JD037694,
Bruckert, J., G. A. Hoshyaripour, L. Hirsch, A. Horvath, R. Kahn, T. Kölling, L. O. Muser, C. Timmreck, H. Vogel, S. Wallis, B. Vogel, Dispersion and Aging of Volcanic Aerosols after the La Soufriere Eruption in April 2021, JGR Atmospheres, https://doi.org/10.1029/2022JD037694, 2023
DOI: 10.1029/2022GL,
Kroll, C. A., S. Fueglistaler, S., Schmidt, H., Kornblueh, L., and Timmreck, C.: The sensitivity of moisture flux partitioning in the cold-point tropopause to external forcing, published Geophys. Res. Lett, Vol. 50, Issue 12, 12 June 2023. https://doi.org/10.1029/2022GL102262.
DOI: 10.5194/acp-23-7001-2023,
Wallis, S., Schmidt, H., and von Savigny, C.: Impact of a strong volcanic eruption on the summer middle atmosphere in UA-ICON simulations, Atmos. Chem. Phys., 23, 7001–7014, Research Highlight, https://doi.org/10.5194/acp-23-7001-2023, 2023
DOI: 10.5194/acp-23-9725-2023,
Wrana, F., Niemeier, U., Thomason, L. W., Wallis, S., and von Savigny, C.: Stratospheric aerosol size reduction after volcanic eruptions, Atmos. Chem. Phys., 23, 9725–9743, https://doi.org/10.5194/acp-23-9725-2023, 2023.
DOI: 10.1088/2752-5295/acee9fa,
Freychet, N., A. Schurer, A. Ballinger, L. Suarez-Gutierrez and C. Timmreck., Assessing the impact of very large volcanic eruptions on the risk of extreme climate events, Environ. Res.: Climate 2 035015 DOI 10.1088/2752-5295/acee9fa, 2023.
1092: Climate Dynamics of a (Near-)Snowball Earth
DOI: 10.1029/2021MS002734,
Snowball Earth initiation and the thermodynamics of sea ice, Johannes Hörner, Aiko Voigt, Christoph Braun, 2022, Journal of Advances in Modeling Earth Systems
DOI: 10.1175/JCLI-D-22-0241.1,
Controls on Subtropical Cloud Reflectivity during a Waterbelt Scenario for the Cryogenian Glaciations, Christoph Braun, Aiko Voigt, Corinna Hoose, Annica ML Ekman, Joaquim G Pinto, 2022, Journal of Climate
DOI: 10.1038/s41561-022-00950,
Ice-free tropical waterbelt for Snowball Earth events questioned by uncertain clouds, Christoph Braun, Joahnnes Hoerner, Aiko Voigt, Joaquim G. Pinto, 2022, Naure Geoscience
1086: High-resolution modelling around supersites for cloud and precipitation observations
DOI: 10.5194/acp-2019-960,
Ruiz-Donoso, E., Ehrlich, A., Schäfer, M., Jäkel, E., Schemann, V., Crewell, S., Mech, M., Kulla, B. S., Kliesch, L.-L., Neuber, R., and Wendisch, M.: Small-scale structure of thermodynamic phase in Arctic mixed-phase clouds observed by airborne remote sensing during a cold air outbreak and a warm air advection event, Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2019-960, in review, 2019.
DOI: 10.5194/gmd-2019-356,
Mech, M., Maahn, M., Kneifel, S., Ori, D., Orlandi, E., Kollias, P., Schemann, V., and Crewell, S.: PAMTRA 1.0: A Passive and Active Microwave radiative TRAnsfer tool for simulating radiometer and radar measurements of the cloudy atmosphere, Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2019-356, in review, 2020.
DOI: 10.5194/acp-20-475-2020,
Schemann, V. and Ebell, K.: Simulation of mixed-phase clouds with the ICON large-eddy model in the complex Arctic environment around Ny-Ålesund, Atmos. Chem. Phys., 20, 475–485, https://doi.org/10.5194/acp-20-475-2020, 2020.
1085: The response theory as a tool for investigating climate predictability and scale separation
Lembo V., Lucarini V., and Ragone F., 2020, Beyond Forcing Scenarios: Predicting Climate Change through Response Operators in a Coupled General Circulation Model, Sci. Rep., accepted
DOI: 10.1038/s41598-020-65297-2,
Lembo, V., Lucarini, V. & Ragone, F. Beyond Forcing Scenarios: Predicting Climate Change through Response Operators in a Coupled General Circulation Model. Sci Rep 10, 8668 (2020). https://doi.org/10.1038/s41598-020-65297-2
1084: Applicate
DOI: 10.1029/2021JC017565,
Hinrichs, C., Wang, Q., Koldunov, N., Mu, L., Semmler, T., Sidorenko, D., & Jung, T. (2021). Atmospheric wind biases: A challenge for simulating the Arctic Ocean in coupled models? Journal of Geophysical Research: Oceans, 126, e2021JC017565. https://doi.org/10.1029/2021JC017565
DOI: 10.1029/2021EF002282,
Khosravi, N., Wang, Q., Koldunov, N., Hinrichs, C., Semmler, T., Danilov, S., & Jung, T. (2022). The Arctic Ocean in CMIP6 models: Biases and projected changes in temperature and salinity. Earth's Future, 10, e2021EF002282. https://doi.org/10.1029/2021EF002282
1083: Climate Informatics: New machine learning methods for climate data and climate model evaluation
Zitzmann, S. F. (2020). Detecting Activity of Tropical Cyclones with the Unsupervised Maximally Divergent Interval Algorithm. Master’s Thesis. Ludwig Maximilian University of Munich, Germany.
DOI: 10.1038/s41467-020-15195-y,
Nowack, P., Runge, J., Eyring, V., and Haigh, J. D. (2020). Causal networks for climate model evaluation and constrained projections. Nature communications, 11(1):1–11.
DOI: 10.1126/sciadv.aau4996,
Runge, J., Nowack, P., Kretschmer, M., Flaxman, S., and Sejdinovic, D. (2019). Detecting and quantifying causal associations in large nonlinear time series datasets. Science Advances, 5(11):eaau4996.
DOI: 10.5194/ gmd-14-3159-2021,
K. Weigel, L. Bock, B. K. Gier, A. Lauer, M. Righi, M. Schlund, K. Adeniyi, B. Andela, E. Arnone, P. Berg, L.-P. Caron, I. Cionni, S. Corti, N. Drost, A. Hunter, L. Lled ́o, C. W. Mohr, A. Pa ̧cal, N. P ́erez-Zan ́on, V. Predoi, M. Sandstad, J. Sillmann, A. Sterl, J. Vegas-Regidor, J. von Hardenberg, and V. Eyring. Earth system model evaluation tool (ESMValTool) v2.0 – diagnostics for extreme events, regional and impact evaluation, and analysis of earth system models in CMIP. Geoscientific Model Development, 14(6):3159–3184, June 202
J. Gottfriedsen, M. Berrendorf, P. Gentine, M. Reichstein, K. Weigel, B. Hassler, and V. Eyring. On the generaliza- tion of agricultural drought classification from climate data, 2021.
X.-A. Tibau, C. Reimers, A. Gerhardus, J. Denzler, V. Eyring, and J. Runge. A spatio-temporal stochastic climate model for benchmarking causal discovery methods for teleconnections, 2021. Under review at the Journal of Environmental Data Science.
C. Käding , J. Runge. Distinguishing cause and effect in bivariate structural causal models: A systematic investigation, 2022. Under review at Journal of Machine Learning Research.
DOI: 10.5194/esd-14-309-2023,
S. Karmouche, E. Galytska, J. Runge, G. A. Meehl, A. S. Phillips, K. Weigel, and V. Eyring. Regime-oriented causal model evaluation of atlantic–pacific teleconnections in cmip6. Earth System Dynamics, 14 (2):309–344, 2023.
DOI: 10.1017/eds.2022.11,
X.-A. Tibau, C. Reimers, A. Gerhardus, J. Denzler, V. Eyring, and J. Runge. A spatiotemporal stochastic climate model for benchmarking causal discovery methods for teleconnections. Environmental Data Science, 1:e12, 2022.
J. Wahl∗, U. Ninad∗, and J. Runge. Vector causal inference between two groups of variables. arXiv preprint arXiv:2209.14283, accepted at AAAI 2023.
W. Günther, U. Ninad∗, J. Wahl∗, and J. Runge. Conditional inde- pendence testing with heteroskedastic data and applications to causal discovery. In S. Koyejo, S. Mohamed, A. Agarwal, D. Belgrave, K. Cho, and A. Oh, editors, Advances in Neural Information Processing Systems, volume 35, pages 16191–16202. Curran Associates, Inc., 2022. URL https://proceedings.neurips.cc/paper_files/paper/2022/file/ 6739d8df16b5bce3587ca5f18662a6aa-Paper-Conference.pdf.
DOI: 10.5194/gmd-14-3159-2021,
Weigel, K., Bock, L., Gier, B. K., Lauer, A., Righi, M., Schlund, M., Adeniyi, K., Andela, B., Arnone, E., Berg, P., Caron, L.-P., Cionni, I., Corti, S., Drost, N., Hunter, A., Lledó, L., Mohr, W. C., Paçal, A., Pérez-Zanón, N., Predoi, V., Sandstad, M., Sillmann, J., Sterl, A., Vegas-Regidor, J., von Hardenberg, J., and Eyring, V.: Earth System Model Evaluation Tool (ESMValTool) v2.0 - diagnostics for extreme events, regional and impact evaluation, and analysis of Earth system models in CMIP, Geosci. Model Dev., 14, 3159-3184, doi: 10.5194/gmd-14-3159-2021, 2021.
J. Gottfriedsen, M. Berrendorf, P. Gentine, M. Reichstein, K. Weigel, B. Hassler, and V. Eyring. On the generalization of agricultural drought classification from climate data, 2021. NeurIPS 2021 Workshop: Tackling Climate Change with Machine Learning. URL: https://arxiv.org/abs/ 2111.15452.
J. Gottfriedsen, M. Berrendorf, P. Gentine, M. Reichstein, K. Weigel, B. Hassler, and V. Eyring. On the generalization of agricultural drought classification from climate data, 2021. NeurIPS 2021 Workshop: Tackling Climate Change with Machine Learning. URL: https://arxiv.org/abs/ 2111.15452.
1070: ARIA
DOI: 10.1029/2018JD030228,
Hoshyaripour, G. A., Bachmann, V., Förstner, J., Steiner, A., Vogel, H., Wagner, F., Walter, C. & Vogel, B. (2019). Effects of particle nonsphericity on dust optical properties in a forecast system: Implications for model-observation comparison. Journal of Geophysical Research: Atmospheres, 124.
DOI: 10.5194/acp-2020-370,
Particle Aging and Aerosol–Radiation Interaction Affect Volcanic Plume Dispersion: Evidence from Raikoke Eruption 2019
DOI: 10.5194/acp-2021-459,
Bruckert, J., Hoshyaripour, G. A., Horváth, Á., Muser, L., Prata, F. J., Hoose, C., and Vogel, B.: Online treatment of eruption dynamics improves the volcanic ash and SO2 dispersion forecast: case of the Raikoke 2019 eruption, Atmos. Chem. Phys. Discuss. [preprint], under revision, 2021.
DOI: 10.1029/2022JF007016,
Rohde, A., Vogel, H., Hoshyaripour, G. A., Kottmeier, C., & Vogel, B. (2023). Regional impact of snow-darkening on snow pack and the atmosphere during a severe Saharan dust deposition event in Eurasia. Journal of Geophysical Research: Earth Surface, 128, https://doi.org/10.1029/2022JF007016
DOI: 10.5194/acp-23-6409-2023,
Seifert, A., Bachmann, V., Filipitsch, F., Förstner, J., Grams, C. M., Hoshyaripour, G. A., Quinting, J., Rohde, A., Vogel, H., Wagner, A., and Vogel, B.: Aerosol–cloud–radiation interaction during Saharan dust episodes: the dusty cirrus puzzle, Atmos. Chem. Phys., 23, 6409–6430, https://doi.org/10.5194/acp-23-6409-2023, 2023.
DOI: 10.5445/IR/1000156889,
Werchner, S.: A new parameterization of aircraft icing accounting for microphysical properties of clouds
1069: Boundary layer meteorology in complex terrain and for wind energy applications
DOI: 10.5194/acp-19-1129-2019,
Wagner, J., Gerz, T., Wildmann, N., and Gramitzky, K.: Long-term simulation of the boundary layer flow over the double-ridge site during the Perdigão 2017 field campaign, Atmos. Chem. Phys., 19, 1129–1146, https://doi.org/10.5194/acp-19-1129-2019, 2019.
DOI: 10.5194/wes-2019-85,
Menke, Robert und Vasiljević, Nikola und Wagner, Johannes und Oncley, Steven P. und Mann, Jakob (2020) Multi-lidar wind resource mapping in complex terrain. Wind Energy Science. Copernicus Publications
DOI: 10.1121/2.0001351,
Katharina Maria Elsen, and Arthur Schady, Influence of meteorological conditions on sound propagation of a wind turbine incomplex terrain; Proc. Mtgs. Acoust.41, 032001 (2020);
DOI: 10.1121/2.0001331,
Arthur Schady and Katharina Elsen: On the detectability of a wind turbines noise under different meteorological conditions Proc. Mtgs. Acoust. 41, 040002 (2020); https://doi.org/10.1121/2.0001331
DOI: 10.5194/gmd-15-5195-2022,
Quimbayo-Duarte, Julian und Wagner, Johannes und Wildmann, Norman und Gerz, Thomas und Schmidli, Juerg (2022) Evaluation of a forest parameterization to improve boundary layer flow simulations over complex terrain. A case study using WRF-LES V4.0.1. Geoscientific Model Development, 15 (13), Seiten 5195-5209. Copernicus Publications.
1067: Fire-vegetation-climate interactions
Lasslop, G., Moeller, T., D'Onofrio, D., Hantson, S., and Kloster, S.: Tropical climate–vegetation–fire relationships: multivariate evaluation of the land surface model JSBACH, Biogeosciences, 15, 5969-5989, https://doi.org/10.5194/bg-15-5969-2018, 2018. Forkel, M., Andela, N., Harrison, S. P., Lasslop, G., van Marle, M., Chuvieco, E., Dorigo, W., Forrest, M., Hantson, S., Heil, A., Li, F., Melton, J., Sitch, S., Yue, C., and Arneth, A.: Emergent relationships on burned area in global satellite observations and fire-enabled vegetation models, Biogeosciences Discuss., https://doi.org/10.5194/bg-2018-427, in review, 2018. Felsberg A, Kloster S, Wilkenskjeld S, Krause A, Lasslop G (2018) Lightning Forcing in Global Fire Models: The Importance of Temporal Resolution. J Geophys Res Biogeosciences 123:168–177
DOI: 10.5194/bg-16-3883-2019,
Teckentrup, L., Harrison, S. P., Hantson, S., Heil, A., Melton, J. R., Forrest, M., Li, F., Yue, C., Arneth, A., Hickler, T., Sitch, S., and Lasslop, G.: Response of simulated burned area to historical changes in environmental and anthropogenic factors: a comparison of seven fire models, Biogeosciences, 16, 3883–3910, https://doi.org/10.5194/bg-16-3883-2019, 2019.
DOI: 10.5194/acp-19-12545-2019,
Li, F., Val Martin, M., Andreae, M. O., Arneth, A., Hantson, S., Kaiser, J. W., Lasslop, G., Yue, C., Bachelet, D., Forrest, M., Kluzek, E., Liu, X., Mangeon, S., Melton, J. R., Ward, D. S., Darmenov, A., Hickler, T., Ichoku, C., Magi, B. I., Sitch, S., van der Werf, G. R., Wiedinmyer, C., and Rabin, S. S.: Historical (1700–2012) global multi-model estimates of the fire emissions from the Fire Modeling Intercomparison Project (FireMIP), Atmos. Chem. Phys., 19, 12545–12567, https://doi.org/10.5194/acp-19-12545-2019, 2019.
DOI: 10.5194/bg-16-57-2019,
Forkel, M., Andela, N., Harrison, S. P., Lasslop, G., van Marle, M., Chuvieco, E., Dorigo, W., Forrest, M., Hantson, S., Heil, A., Li, F., Melton, J., Sitch, S., Yue, C., and Arneth, A.: Emergent relationships with respect to burned area in global satellite observations and fire-enabled vegetation models, Biogeosciences, 16, 57–76, https://doi.org/10.5194/bg-16-57-2019, 2019.
DOI: 10.1111/gcb.15160,
Lasslop, G., Hantson, S., Harrison, S.P., Bachelet, D., Burton, C., Forkel, M., Forrest, M., Li, F., Melton, J.R., Yue, C., Archibald, S., Scheiter, S., Arneth, A., Hickler, T., Sitch, S., 2020. Global ecosystems and fire: multi‐model assessment of fire‐induced tree cover and carbon storage reduction. Glob. Chang. Biol. gcb.15160. https://doi.org/10.1111/gcb.15160
1066: Simulations of the Last Interglacial and of the Mid-Holocene with MPI-ESM and AWI-CM in the framework of the Paleoclimate Model Intercomparison Project, phase 4 (PMIP4)
DOI: not yet available, publication is scheduled for November 2019,
Scussolini, P. , Bakker, P., Guo C., Stepanek, C., Zhang, Q., Braconnot, P., Cao J., Guarino, M.-V., Coumou, D., Prange, M., Ward, P.J., Renssen, H., Kageyama, M., Otto-Bliesner, B., and Aerts, J.C.J.H.: Agreement between reconstructed and modeled boreal precipitation of the Last Interglacial (in press for publication in Science Advances).
DOI: doi:10.5194/cp-16-1715-2020,
Renoult, M., Annan, J. D., Hargreaves, J. C., Sagoo, N., Flynn, C., Kapsch, M.-L., Li, Q., Lohmann, G., Mikolajewicz, U., Ohgaito, R., Shi, X., Zhang, Q., and Mauritsen, T.: A Bayesian framework for emergent constraints: case studies of climate sensitivity with PMIP, Climate of the Past, 16, 1715–1735, doi:10.5194/cp-16-1715-2020, 2020.
DOI: doi:10.1029/2019GL085868,
Yang, H., Lohmann, G., Krebs-Kanzow, U., Ionita, M., Shi, X., Sidorenko, D., Gong, X., Chen, X., and Gowan, E. J.: Poleward shift of the major ocean gyres detected in a warming climate, Geophysical Research Letters, 47, e2019GL085868 doi:10.1029/2019GL085868, 2020.
DOI: doi:10.1177/0959683620908634,
Shi, X., Lohmann, G., Sidorenko, D., and Yang, H.: Early-Holocene simulations using different forcings and resolutions in AWI-ESM, The Holocene, 30(7), 996–1015, doi:10.1177/0959683620908634, 2020.
DOI: doi:10.5194/cp-16-2459-2020,
Vorrath, M.-E., Müller, J., Rebolledo, L., Cárdenas, P., Shi, X., Esper, O., Opel, T., Geibert, W., Muñoz, P., Haas, C., Kuhn, G., Lange, C. B., Lohmann, G., and Mollenhauer, G.: Sea ice dynamics in the Bransfield Strait, Antarctic Peninsula, during the past 240 years: a multi-proxy intercomparison study, Climate of the Past, 16, 2459–2483, doi:10.5194/cp-16-2459-2020, 2020.
DOI: doi:10.5194/cp-16-1847-2020,
Brierley, C. M., Zhao, A., Harrison, S. P., Braconnot, P., Williams, C. J. R., Thornalley, D. J. R., Shi, X., Peterschmitt, J.-Y., Ohgaito, R., Kaufman, D. S., Kageyama, M., Hargreaves, J. C., Erb, M. P., Emile-Geay, J., D'Agostino, R., Chandan, D., Carré, M., Bartlein, P. J., Zheng, W., Zhang, Z., Zhang, Q., Yang, H., Volodin, E. M., Tomas, R. A., Routson, C., Peltier, W. R., Otto-Bliesner, B., Morozova, P. A., McKay, N. P., Lohmann, G., Legrande, A. N., Guo, C., Cao, J., Brady, E., Annan, J. D., and Abe-Ouchi, A.: Large-scale features and evaluation of the PMIP4-CMIP6 midHolocene simulations, Climate of the Past, 16, 1847–1872, doi:10.5194/cp-16-1847-2020, 2020.
DOI: doi:10.5194/cp-17-1065-2021,
Kageyama, M., Harrison, S. P., Kapsch, M.-L., Lofverstrom, M., Lora, J. M., Mikolajewicz, U., Sherriff-Tadano, S., Vadsaria, T., Abe-Ouchi, A., Bouttes, N., Chandan, D., Gregoire, L. J., Ivanovic, R. F., Izumi, K., LeGrande, A. N., Lhardy, F., Lohmann, G., Morozova, P. A., Ohgaito, R., Paul, A., Peltier, W. R., Poulsen, C. J., Quiquet, A., Roche, D. M., Shi, X., Tierney, J. E., Valdes, P. J., Volodin, E., and Zhu, J.: The PMIP4 Last Glacial Maximum experiments: preliminary results and comparison with the PMIP3 simulations, Climate of the Past, 17, 1065–1089, doi:10.5194/cp-17-1065-2021, 2021.
DOI: doi:10.5194/cp-17-37-2021,
Kageyama, M., Sime, L. C., Sicard, M., Guarino, M.-V., de Vernal, A., Stein, R., Schroeder, D., Malmierca-Vallet, I., Abe-Ouchi, A., Bitz, C., Braconnot, P., Brady, E. C., Cao, J., Chamberlain, M. A., Feltham, D., Guo, C., LeGrande, A. N., Lohmann, G., Meissner, K. J., Menviel, L., Morozova, P., Nisancioglu, K. H., Otto-Bliesner, B. L., O'ishi, R., Ramos Buarque, S., Salas y Melia, D., Sherriff-Tadano, S., Stroeve, J., Shi, X., Sun, B., Tomas, R. A., Volodin, E., Yeung, N. K. H., Zhang, Q., Zhang, Z., Zheng, W., and Ziehn, T.: A multi-model CMIP6-PMIP4 study of Arctic sea ice at 127 ka: sea ice data compilation and model differences, Climate of the Past, 17, 37–62, doi:10.5194/cp-17-37-2021, 2021.
DOI: doi:10.5194/cp-17-63-2021,
Otto-Bliesner, B. L., Brady, E. C., Zhao, A., Brierley, C. M., Axford, Y., Capron, E., Govin, A., Hoffman, J. S., Isaacs, E., Kageyama, M., Scussolini, P., Tzedakis, P. C., Williams, C. J. R., Wolff, E., Abe-Ouchi, A., Braconnot, P., Ramos Buarque, S., Cao, J., de Vernal, A., Guarino, M. V., Guo, C., LeGrande, A. N., Lohmann, G., Meissner, K. J., Menviel, L., Morozova, P. A., Nisancioglu, K. H., O'ishi, R., Salas y Mélia, D., Shi, X., Sicard, M., Sime, L., Stepanek, C., Tomas, R., Volodin, E., Yeung, N. K. H., Zhang, Q., Zhang, Z., and Zheng, W.: Large-scale features of Last Interglacial climate: results from evaluating the lig127k simulations for the Coupled Model Intercomparison Project (CMIP6)–Paleoclimate Modeling Intercomparison Project (PMIP4), Climate of the Past, 17, 63–94, doi:10.5194/cp-17-63-2021, 2021.
DOI: doi:10.5194/cp-16-1777-2020,
Brown, J. R., Brierley, C. M., An, S.-I., Guarino, M.-V., Stevenson, S., Williams, C. J. R., Zhang, Q., Zhao, A., Abe-Ouchi, A., Braconnot, P., Brady, E. C., Chandan, D., D'Agostino, R., Guo, C., LeGrande, A. N., Lohmann, G., Morozova, P. A., Ohgaito, R., O'ishi, R., Otto-Bliesner, B. L., Peltier, W. R., Shi, X., Sime, L., Volodin, E. M., Zhang, Z., and Zheng, W.: Comparison of past and future simulations of ENSO in CMIP5/PMIP3 and CMIP6/PMIP4 models, Climate of the Past, 16, 1777–1805, doi:10.5194/cp-16-1777-2020, 2020.
DOI: doi:10.1029/2019PA003782,
Lohmann, G., Butzin, M., Eissner, N., Shi, X., and Stepanek, C.: Abrupt climate and weather changes across time scales, Paleoceanography and Paleoclimatology, 35, e2019PA003782, doi:10.1029/2019PA003782, 2020.
DOI: doi:10.1029/2019GL086810,
Ackermann, L., Danek, C., Gierz, P., and Lohmann, G.: AMOC recovery in a multicentennial scenario using a coupled atmosphere-ocean-ice sheet model, Geophysical Research Letters, 47, e2019GL086810, doi:10.1029/2019GL086810, 2020.
DOI: doi:10.5194/acp-21-5015-2021,
Keeble, J., Hassler, B., Banerjee, A., Checa-Garcia, R., Chiodo, G., Davis, S., Eyring, V., Griffiths, P. T., Morgenstern, O., Nowack, P., Zeng, G., Zhang, J., Bodeker, G., Burrows, S., Cameron-Smith, P., Cugnet, D., Danek, C., Deushi, M., Horowitz, L. W., Kubin, A., Li, L., Lohmann, G., Michou, M., Mills, M. J., Nabat, P., Olivié, D., Park, S., Seland, Ø., Stoll, J., Wieners, K.-H., and Wu, T.: Evaluating stratospheric ozone and water vapour changes in CMIP6 models from 1850 to 2100, Atmospheric Chemistry and Physics, 21, 5015–5061, doi:10.5194/acp-21-5015-2021, 2021.
DOI: doi:10.1029/2020JD033158,
Yang, H., Lohmann, G., Lu, J., Gowan, E. J., Shi, X., Liu, J., and Wang, Q: Tropical expansion driven by poleward advancing midlatitude meridional temperature gradients, Journal of Geophysical Research: Atmospheres, 125, e2020JD033158, doi:10.1029/2020JD033158, 2020.
DOI: doi:10.1016/j.quascirev.2021.107125,
Carré, M., Braconnot, P., Elliot, M., d’Agostino, R., Schurer, A., Shi, X., Marti, O., Lohmann, G., Jungclaus, J., Cheddadi, R., Abdelkader di Carlo, I., Cardich, J., Ochoa, D., Salas Gismondi, R., Pérez, A., Romero, P. E., Turcq, B., Corrège, T., and Harrison, S. P.: High-resolution marine data and transient simulations support orbital forcing of ENSO amplitude since the mid-Holocene, Quaternary Science Reviews, 268, 107125, doi:10.1016/j.quascirev.2021.107125, 2021.
DOI: doi:10.22033/ESGF/CMIP6.9302,
Shi, X., Yang, H., Danek, C., and Lohmann, G.: AWI AWI-ESM1.1LR model output prepared for CMIP6 PMIP, Earth System Grid Federation, doi:10.22033/ESGF/CMIP6.9302, 2020.
DOI: doi:10.22033/ESGF/CMIP6.9301,
Danek, C., Shi, X., Stepanek, C., Yang, H., Barbi, D., Hegewald, J., and Lohmann, G.: AWI AWI-ESM1.1LR model output prepared for CMIP6 CMIP, Earth System Grid Federation, doi:10.22033/ESGF/CMIP6.9301, 2020.
DOI: doi:10.1029/2020GL089375,
Scussolini, P., Eilander, D., Sutanudjaja, E. H., Ikeuchi, H., Hoch, J. M., Ward, P. J., Bakker, P., Otto‐Bliesner, B. L., Guo, C., Stepanek, C., Zhang, Q., Braconnot, P., Guarino, M., Muis, S., Yamazaki, D., Veldkamp, T. I. E., and Aerts, J. C. J. H.: Global River Discharge and Floods in the Warmer Climate of the Last Interglacial, Geophysical Research Letters, 47 (e2020G), doi:10.1029/2020GL089375, 2020.
DOI: doi:10.1126/sciadv.aax7047,
Scussolini, P., Bakker, P., Guo, C., Stepanek, C., Zhang, Q., Braconnot, P., Cao, J., Guarino, M. V., Coumou, D., Prange, M., Ward, P. J., Renssen, H., Kageyama, M., Otto-Bliesner, B., and Aerts, J. C. J. H.: Agreement between reconstructed and modeled boreal precipitation of the Last Interglacial, Science Advances, 5 (11), eaax7047, doi:10.1126/sciadv.aax7047, 2019.
Matos, F., Stepanek, C., Streffing, J., Semmler, T., Scholz, P., Lohmann, G., Power, K., and Zhang, Q.: Earth Climate Sensitivity under multi-centennial timescales masked by short-term simulation requirements in CMIP6, in preparation for submission to Geoscientific Model Development Discussions.
1064: Atmospheric Drivers of Extreme Flood Events (ADEFE)
DOI: 10.5194/gmd-2019-73,
Primo, C., Kelemen, F. D., Feldmann, H., & Ahrens, B. (2019). A regional atmosphere-ocean climate system model (CCLMv5.0clm7-NEMOv3.3-NEMOv3.6) over Europe including three marginal seas: on its stability and performance. Geosci. Model Dev. Discuss., 2019, 1–33. https://doi.org/10.5194/gmd-2019-73
DOI: 10.3390/atmos10090537,
Kelemen, F.D., C. Primo, H. Feldmann, B. Ahrens (2019). Added value of atmosphere-ocean coupling in a century-long regional climate simulation. Atmosphere. 10(9), 537.
DOI: 10.1127/metz/2020/0989,
1. Krug, A., Primo, C., Fischer, S., Schumann, A. & Ahrens, B. On the temporal variability of widespread rain-on-snow floods. Meteorol. Zeitschrift 29, 147–163 (2020).
DOI: 10.1127/metz/2021/1071,
Heavy Vb‑cyclone precipitation: a transfer entropy application showcase Krug, Amelie; Pothapakula, Praveen Kumar; Primo, Cristina; Ahrens, Bodo
DOI: 10.5194/egusphere-egu22-2883,
Krug, A., Aemisegger, F., Sprenger, M. et al. Moisture sources of heavy precipitation in Central Europe in synoptic situations with Vb-cyclones. Clim Dyn (2022). https://doi.org/10.1007/s00382-022-06256-7
DOI: 10.5675/HyWa_2023.5_2,
Hamouda, M.E., C. Czakay, C. Primo, A. Hoff, B. Ahrens (2023) Zu Atmosphärischen Ursachen für Extreme Hochwasserereignisse in Mitteleuropa / On Atmospheric Drivers for Central European Flood Events. Hydrologie und Wasserbewirtschaftung (HyWa), 67, 209–219. DOI: 10.5675/HyWa_2023.5_2
DOI: 10.1007/s00382-022-06543-3,
Prein, A., N. Ban, …, P.K. Potapakula, B. Ahrens, …, D. Chen (2023). Towards Ensemble-Based Kilometer-Scale Climate Simulations over the Third Pole Region. Clim. Dyn., 60, 4055–4081. DOI: https://doi.org/10.1007/s00382-022-06543-3
1062: ÖkoLuft
Frömming, C.; Grewe, V.; Brinkop, S.; Matthes, S.; Haslerud, A.; Irvine, E.; Rosanka, S.; van Manen, J. Influence of weather situations on aviation climate effects: The REACT4C Climate Change Functions. Atmospheric Chemistry and Physics, in preparation, 2019. Frömming, C., Grewe, V., Brinkop, S., Matthes, S., Haslerud, A., Klingaman, E., Rosanka, S., van Manen, J. Influence of actual weather situations on aviation climate effects: The REACT4C Climate Change Functions. Atmospheric Chemistry and Physics, in preparation, 2019.
Yamashita, H., Yin, F., Grewe, V., Jöckel, P., Matthes, S., Kern, B., Dahlmann, K., Frömming, C., Various aircraft routing options for air traffic simulation in chemistry-climate model EMAC 2.53: AirTraf 2.0, Geosci. Model Dev., in preparation – full draft available, 2019.
DOI: 10.1016/j.trd.2018.12.016,
van Manen, J., and Grewe, V., Algorithmic climate change functions for the use in eco-efficient flight planning, Transp. Res. Part D 67, 388-405, doi:10.1016/j.trd.2018.12.016, 2019.
DOI: 10.5194/acp-2020-529,
Frömming, C., Grewe, V., Brinkop, S., Jöckel, P., Haselrud, A.S., Rosanka, S., van Manen, J., and Matthes, S., Influence of the actual weather situation on non-CO2 aviation climate effects: The REACT4C Climate Change Functions, Atmos. Chem. Phys. Disc., https://doi.org/10.5194/acp-2020-529, in review, 2020.
DOI: 10.5194/acp-2020-46,
Rosanka, S., Frömming, C, and Grewe, V., The impact of weather pattern and related transport processes on aviation's contribution to ozone and methane concentrations from NOx emissions, Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2020-46, in press, 2020.
Dahlmann K., Matthes, S., Yamashita, H., Unterstrasser, S., Grewe, V., Marks, T., Assessing the climate impact of formation flights, Aerospace, in review, 2020.
Marks T., et al., Formations Flight, Aerospace, in review, 2020.
Matthes S., Lührs, B., Dahlmann, K., Grewe, V., Linke, F., Yin F., Klingaman, E., Shine, K., Climate-optimized trajectories and robust mitigation potential: Flying ATM4E, Aerospace, in review, 2020.
DOI: 10.5194/gmd-13-4869-2020,
Yamashita, H., Yin, F., Grewe, V., Jöckel, P., Matthes, S., Kern, B., Dahlmann, K., and Frömming, C. Various aircraft routing options for air traffic simulation in the chemistry-climate model EMAC 2.53: AirTraf 2.0, Geosci. Model Dev. 13, 4869-4890, https://doi.org/10.5194/gmd-13-4869-2020, 2020.
DOI: 10.5194/gmd-13-4869-2020,
Yamashita, H., Yin, F., Grewe, V., Jöckel, P., Matthes, S., Kern, B., Dahlmann, K., and Frömming, C. Various aircraft routing options for air traffic simulation in the chemistry-climate model EMAC 2.53: AirTraf 2.0, Geosci. Model Dev. 13, 4869-4890, https://doi.org/10.5194/gmd-13-4869-2020, 2020.
DOI: 10.3390/aerospace7120172,
Dahlmann, K., Matthes, S., Yamashita, H., Unterstrasser, S. , Grewe, V., Marks, T., 2020: Assessing the Climate Impact of Formation Flights, Aerospace 7(12), 172
DOI: 10.5194/acp-21-9151-2021,
Frömming, C., Grewe, V., Brinkop, S., Jöckel, P., Haslerud, A. S., Rosanka, S., van Manen, J., and Matthes, S.: Influence of the actual weather situation on non-CO2 aviation climate effects: The REACT4C Climate Change Functions, Atmos. Chem. Phys., 2021.
DOI: 10.3390/aerospace8010014,
Marks, T., Dahlmann, K., , Grewe, V., Gollnick, V., Linke, F., Matthes, S., Stumpf, E., Swaid, M., Unterstrasser, S. , Yamashita, H., Zumegen, C., 2021: Climate Impact Mitigation Potential of Formation Flight, Aerospace 8(1), 14
DOI: 10.5194/acp-20-12347-2020,
Rosanka, S., Frömming, C., and Grewe, V.: The impact of weather pattern and related transport processes on aviation’s contribution to ozone and methane concentrations from NOx emissions, Atmospheric Chemistry and Physics
DOI: 10.3390/aerospace8020033,
Yamashita, H., Yin, F., Grewe, V., Jöckel, P., Matthes, S., Kern, B., Dahlmann, K., and Frömming, C., Analysis of Aircraft Routing Strategies for North Atlantic Flights by Using AirTraf 2.0, Aerospace, 8, 33. https://doi.org/10.3390/aerospace8020033, 2021.
DOI: 10.5194/gmd-2022-203,,
Dietmüller, S., Matthes, S., Dahlmann, K., Yamashita, H., Simorgh, A., Soler, M., Linke, F., Lührs, B., Meuser, M. M., Weder, C., Grewe, V., Yin, F., and Castino, F.: A python library for computing individual and merged non-CO2 algorithmic climate change functions: CLIMaCCF V1.0, Geosci. Model Dev. Discuss. [preprint], https://doi.org/10.5194/gmd-2022-203, in review, 2022.
DOI: 10.5194/egusphere-2022-285,
Pletzer, J. F., Hauglustaine, D., Cohen, Y., Jöckel, P., and Grewe, V.: The Climate Impact of Hypersonic Transport, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2022-285, 2022.
Thor, R.N, Mertens, M., Matthes, S., Righi, M., Hendricks, J., Brinkop, S., Graf, P., Grewe, V., Jöckel,P., and Smith, S., An inconsistency in aviation emissions between CMIP5 and CMIP6 and the implications for short-lived species and their radiative forcing, GMDD, submitted, 2022.
DOI: 10.3390/aerospace8020036,
Matthes, S., Lim, L., Burkhardt U., Dahlmann, K., Dietmüller, S., Grewe, V., Haselrut, A., Hendricks, J., Owen, B., Pitari, G., Righi, M., Skowron, A., Mitigation of Non-CO2 Aviation's Climate Impact by Changing Cruise Altitudes Aerospace 8, 36, https://doi.org/10.3390/aerospace8020036, 2021.
DOI: https://zenodo.org/records/8422189,
Pletzer, J. and Grewe, V. rf-of-hypersonic-trajectories, GitHub repo, 2023b.
DOI: 10.15480/882.8681,
Dietmüller, S., Matthes, S., Dahlmann, K., Yamashita, H., Simorgh, A., Soler, M., ... & Castino, F. (2023). A Python library for computing individual and merged non-CO2 algorithmic climate change functions: CLIMaCCF V1. 0. Geoscientific model development, 16(15), 4405-4425.
DOI: 10.5194/gmd-7-175-2014,
Grewe, V., Frömming, C., Matthes, S., Brinkop, S., Ponater, M., Dietmüller, S., ... & Hullah, P. (2014). Aircraft routing with minimal climate impact: The REACT4C climate cost function modelling approach (V1. 0). Geoscientific Model Development, 7(1), 175-201.
DOI: 10.5194/egusphere-egu23-15843,
Matthes, S., Nickl, A. L., Peter, P., Mertens, M., Jöckel, P., Ziereis, H., ... & Zahn, A. (2023). Aviation-induced changes of atmospheric composition in the UTLS in the multi-scale Earth system model MECO (1) (No. EGU23-15843). Copernicus Meetings.
DOI: 10.5194/acp-22-14323-2022,
Pletzer, J., Hauglustaine, D., Cohen, Y., Jöckel, P., & Grewe, V. (2022). The climate impact of hydrogen-powered hypersonic transport. Atmospheric Chemistry and Physics, 22(21), 14323-14354.
DOI: 10.5194/egusphere-2023-1777,
Pletzer, J., and Grewe, V., Sensitivities of atmospheric composition and climate to altitude and latitude of hypersonic aircraft emissions, ACP (preprint), 2023a.
DOI: 10.3390/aerospace9050231,
Rao, P., Yin, F., Grewe, V., Yamashita, H., Jöckel, P., Matthes, S., ... & Frömming, C. (2022). Case Study for Testing the Validity of NO x-Ozone Algorithmic Climate Change Functions for Optimising Flight Trajectories. Aerospace, 9(5), 231.
DOI: 10.3390/aerospace9030146,
Simorgh, A., Soler, M., González-Arribas, D., Matthes, S., Grewe, V., Dietmüller, S., ... & Meuser, M. M. (2022). A comprehensive survey on climate optimal aircraft trajectory planning. Aerospace, 9(3), 146.
DOI: 10.5194/gmd-16-3313-2023,
Yin, F., Grewe, V., Castino, F., Rao, P., Matthes, S., Dahlmann, K., ... & Linke, F. (2023). Predicting the climate impact of aviation for en-route emissions: the algorithmic climate change function submodel ACCF 1.0 of EMAC 2.53. Geoscientific Model Development, 16(11), 3313-3334.
DOI: 10.1016/j.trd.2016.03.006,
Dahlmann, K., Grewe, V., Frömming, C., & Burkhardt, U. (2016). Can we reliably assess climate mitigation options for air traffic scenarios despite large uncertainties in atmospheric processes?. Transportation Research Part D: Transport and Environment, 46, 40-55.
DOI: 10.5194/gmd-4-195-2011,
Deckert, R., Jöckel, P., Grewe, V., Gottschaldt, K. D., & Hoor, P. (2011). A quasi chemistry-transport model mode for EMAC. Geoscientific Model Development, 4(1), 195-206.
DOI: 10.5194/acp-21-9151-2021,
Frömming, C., Grewe, V., Brinkop, S., Jöckel, P., Haslerud, A. S., Rosanka, S., van Manen, J., and Matthes, S.: Influence of the actual weather situation on non-CO2 aviation climate effects: The REACT4C Climate Change Functions, Atmos. Chem. Phys., 2021.
DOI: 10.5194/acp-8-4621-2008,
Grewe, V., & Stenke, A. (2008). AirClim: an efficient tool for climate evaluation of aircraft technology. Atmospheric Chemistry and Physics, 8(16), 4621-4639.
DOI: 10.1016/j.atmosenv.2014.05.059,
Grewe, V., Champougny, T., Matthes, S., Frömming, C., Brinkop, S., Søvde, A.O., Irvine,E.A., Halscheidt, L., Reduction of the air traffic's contribution to climate change: A REACT4C case study, 10.1016/j.atmosenv.2014.05.059, Atmos. Environm. 94, 616-625, 2014b.
DOI: 10.5194/gmd-10-2615-2017,
Grewe, V., Tsati, E., Mertens, M., Frömming, C., & Jöckel, P. (2017). Contribution of emissions to concentrations: The TAGGING 1.0 submodel based on the Modular Earth Submodel System (MESSy 2.52). Geoscientific Model Development, 10(7), 2615-2633.
DOI: 10.1088/1748-9326/aa5ba0,
Grewe, V., Matthes, S., Frömming, C., Brinkop, S., Jöckel, P., Gierens, K., ... & Shine, K. (2017). Feasibility of climate-optimized air traffic routing for trans-Atlantic flights. Environmental Research Letters, 12(3), 034003.
DOI: 10.5194/gmd-3-717-2010,
Jöckel, P., Kerkweg, A., Pozzer, A., Sander, R., Tost, H., Riede, H., ... & Kern, B. (2010). Development cycle 2 of the modular earth submodel system (MESSy2). Geoscientific Model Development, 3(2), 717-752.
DOI: 10.5194/gmd-9-1153-2016,
Jöckel, P., Tost, H., Pozzer, A., Kunze, M., Kirner, O., Brenninkmeijer, C. A. M., Brinkop, S., Cai, D. S., Dyroff, C., Eckstein, J., Frank, F., Garny, H., Gottschaldt, K.-D., Graf, P., Grewe, V., Kerkweg, A., Kern, B., Matthes, S., Mertens, M., Meul, S., Neumaier, M., Nützel, M., Oberländer-Hayn, S., Ruhnke, R., Runde, T., Sander, R., Scharffe, D., and Zahn, A.: Earth System Chemistry integrated Modelling (ESCiMo) with the Modular Earth Submodel System (MESSy) version 2.51, Geosci. Model Dev., 9, 1153–1200
DOI: 10.3390/aerospace4030042,
Matthes, S., Grewe, V., Dahlmann, K., Frömming, C., Irvine, E., Lim, L., ... & Yin, F. (2017). A concept for multi-criteria environmental assessment of aircraft trajectories. Aerospace, 4(3), 42.
DOI: 10.5194/egusphere-2022-285,
Pletzer, J. F., Hauglustaine, D., Cohen, Y., Jöckel, P., and Grewe, V.: The Climate Impact of Hypersonic Transport, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2022-285, 2022.
Pletzer, J., and Grewe, V., Sensitivities of Climate and Atmospheric Composition Changes to Emissions from a Potential Fleet of Hypersonic Aircraft as a Function of Altitude and Latitude of Emissions, ACPD, in prep. 2022
DOI: 10.5194/gmd-16-1459-2023,
Thor, R. N., Mertens, M., Matthes, S., Righi, M., Hendricks, J., Brinkop, S., ... & Smith, S. (2023). An inconsistency in aviation emissions between CMIP5 and CMIP6 and the implications for short-lived species and their radiative forcing. Geoscientific Model Development, 16(5), 1459-1466.
DOI: 10.5194/gmd-9-3363-2016,
Yamashita, H., Grewe, V., Jöckel, P., Linke, F., Schaefer, M., & Sasaki, D. (2016). Air traffic simulation in chemistry-climate model EMAC 2.41: AirTraf 1.0. Geoscientific Model Development, 9(9), 3363-3392.
DOI: 10.5194/gmd-13-4869-2020,
Yamashita, H., Yin, F., Grewe, V., Jöckel, P., Matthes, S., Kern, B., Dahlmann, K., and Frömming, C. Various aircraft routing options for air traffic simulation in the chemistry-climate model EMAC 2.53: AirTraf 2.0, Geosci. Model Dev. 13, 4869-4890, https://doi.org/10.5194/gmd-13-4869-2020, 2020.
DOI: 10.5194/gmd-16-3313-2023,
Yin, F., Grewe, V., Castino, F., Rao, P., Matthes, S., Dahlmann, K., ... & Linke, F. (2023). Predicting the climate impact of aviation for en-route emissions: the algorithmic climate change function submodel ACCF 1.0 of EMAC 2.53. Geoscientific Model Development, 16(11), 3313-3334.
1053: CRC 1211 - A03: Statistical-dynamical modelling of Aeolian processes in the Atacama Desert over geological time scales and their implications to life at the dry limit
Reyers M, Hamidi M, Shao Y. Synoptic analysis and simulation of an unusual dust event over the Atacama Desert. Atmos Sci Lett. 2019;e899. https://doi.org/10.1002/asl.899
DOI: 10.5194/ems2022-112,
Reyers, M., Fiedler, S., Ludwig, P., and Shao, Y.: What caused the increased rainfall during the Pliocene in today’s hyper-arid Atacama Desert?, EMS Annual Meeting 2022, Bonn, Germany, 5–9 Sep 2022, EMS2022-112, https://doi.org/10.5194/ems2022-112, 2022.
DOI: 10.5194/cp-19-517-2023,
Reyers, M., Fiedler, S., Ludwig, P., Böhm, C., Wennrich, V., & Shao, Y. (2023). On the importance of moisture conveyor belts from the tropical eastern Pacific for wetter conditions in the Atacama Desert during the mid-Pliocene. Climate of the Past, 19(2), 517–532. https://doi.org/10.5194/cp-19-517-2023
1052: Regional estimation of soil moisture using satellite data, ground measurements and climate modelling, Case study: Iran
Fakharizade, E., Sabziparvar, A.A., Fallah, B., Sodoudi, S., (2018): Comparison of soil moisture retrievals from the European Space Agency's (ESA) and the regional climate model COSMO-CLM (Case study: Iran), accepted for oral presentation at EMS 2018 in Budapest.
1051: Contribution to AerChemMIP with ECHAM-HAMMOZ simulations
DOI: 10.22033/ESGF/CMIP6.1621,
Neubauer, David; Ferrachat, Sylvaine; Siegenthaler-Le Drian, Colombe; Stoll, Jens; Folini, Doris Sylvia; Tegen, Ina; Wieners, Karl-Hermann; Mauritsen, Thorsten; Stemmler, Irene; Barthel, Stefan; Bey, Isabelle; Daskalakis, Nikos; Heinold, Bernd; Kokkola, Harri; Partridge, Daniel; Rast, Sebastian; Schmidt, Hauke; Schutgens, Nick; Stanelle, Tanja; Stier, Philip; Watson-Parris, Duncan; Lohmann, Ulrike (2019). HAMMOZ-Consortium MPI-ESM1.2-HAM model output prepared for CMIP6 AerChemMIP. Version YYYYMMDD.Earth System Grid Federation.
DOI: 10.5194/acp-2019-1209,
Allen, R. J., Turnock, S., Nabat, P., Neubauer, D., Lohmann, U., Olivie, D., Oshima, N., Michou, M., Wu, T., Zhang, J., Takemura, T., Schulz, M., Tsigaridis, K., Bauer, S. E., Emmons, L., Horowitz, L., Naik, V., van Noije, T., Bergman, T., Lamarque, J.-F., Zanis, P., Tegen, I., Westervelt, D. M., Le Sager, P., Good, P., Shim, S., O'Connor, F., Akritidis, D., Georgoulias, A. K., Deushi, M., Sentman, L. T., Fujimori, S., and Collins, W. J.: Climate and air quality impacts due to mitigation of non-methane near-term climate forcers, Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2019-1209, in review, 2020.
DOI: 10.22033/ESGF/CMIP6.1621,
Neubauer, David; Ferrachat, Sylvaine; Siegenthaler-Le Drian, Colombe; Stoll, Jens; Folini, Doris Sylvia; Tegen, Ina; Wieners, Karl-Hermann; Mauritsen, Thorsten; Stemmler, Irene; Barthel, Stefan; Bey, Isabelle; Daskalakis, Nikos; Heinold, Bernd; Kokkola, Harri; Partridge, Daniel; Rast, Sebastian; Schmidt, Hauke; Schutgens, Nick; Stanelle, Tanja; Stier, Philip; Watson-Parris, Duncan; Lohmann, Ulrike (2019). HAMMOZ-Consortium MPI-ESM1.2-HAM model output prepared for CMIP6 AerChemMIP. Version YYYYMMDD.Earth System Grid Federation.
1040: ESiWACE: Scalability of Earth System Models
DOI: 10.5281/zenodo.2596977,
P. Neumann, K. Serradell. Implementation of ICON 10km global coupled demonstrator and performance analysis (D2.12). Deliverable of the project ESiWACE
P. Neumann. Sparse Grid Regression for Performance Prediction Using High-Dimensional Run Time Data. Accepted for publication in Euro-Par 2019: Parallel Processing Workshops, 2019, pdf of talk see https://rrze-hpc.github.io/PMACS/slides/Philipp_Neumann.pdf
DOI: 10.1186/s40645-019-0304-z,
Stevens, B., Satoh, M., Auger, L. et al. DYAMOND: the DYnamics of the Atmospheric general circulation Modeled On Non-hydrostatic Domains. Prog Earth Planet Sci 6, 61 (2019) doi:10.1186/s40645-019-0304-z
Hohenegger, C., Kornblueh, L., Klocke, D., Becker, T., Cioni, G., Engels, J. F., et al.: Climate statistics in global simulations of the atmosphere from 80 to 2.5 km grid spacing. Journal of the Meteorological Society of Japan, 98 (in press for Spec. Ed. on DYAMOND, 2020).
DOI: 10.5194/gmd-12-3991-2019,
Koldunov, N. V., Aizinger, V., Rakowsky, N., Scholz, P., Sidorenko, D., Danilov, S., and Jung, T. (2019). Scalability and some optimization of the Finite-volumE Sea ice Ocean Model, Version 2.0 (FESOM2). Geosci. Model Dev., 12, 3991-4012, https://doi.org/10.5194/gmd-12-3991-2019.
DOI: 10.2151/jmsj.2020-005,
Hohenegger, C., Kornblueh, L., Klocke, D., Becker, T., Cioni, G., Engels, J. F., Schulzweida, U. and Stevens, B.: Climate Statistics in Global Simulations of the Atmosphere, from 80 to 2.5 km Grid Spacing, Journal of the Meteorological Society of Japan. Ser. II, 98(1), 73–91, doi:10.2151/jmsj.2020-005, 2020.
DOI: 10.2151/jmsj.2021-062,
Heim, C., L. Hentgen, N. Ban, and C. Schär, 2021: Inter-model variability in convection-resolving simulations of subtropical marine low clouds. J. Meteor. Soc. Japan, 99, Special Edition on DYAMOND: The DYnamics of the Atmospheric general circulation Modeled On Non-hydrostatic Domains https://doi.org/10.2151/jmsj.2021-062.
DOI: 10.2151/jmsj.2021-029,
Judt, F., Klocke, D., Rios-Berrios, R., Vanniere, B., Ziemen, F., Auger, L., Biercamp, J., Bretherton, C., Chen, X., Düben, P., Hohenegger, C., Khairoutdinov, M., Kodama, C., Kornblueh, L., Lin, S.-J., Nakano, M., Neumann, P., Putman, W., Röber, N., Roberts, M., Satoh, M., Shibuya, R., Stevens, B., Vidale, P. L., Wedi, N., & Zhou, L. (2021). Tropical Cyclones in Global Storm-Resolving Models. Journal of the Meteorological Society of Japan. Ser. II, 99(3), 579–602. https://doi.org/10.2151/jmsj.2021-029
DOI: 10.2151/jmsj.2020-005,
Hohenegger, C., Kornblueh, L., Klocke, D., Becker, T., Cioni, G., Engels, J. F., Schulzweida, U. and Stevens, B.: Climate Statistics in Global Simulations of the Atmosphere, from 80 to 2.5 km Grid Spacing, Journal of the Meteorological Society of Japan. Ser. II, 98(1), 73–91, doi:10.2151/jmsj.2020-005, 2020.
DOI: arXiv:2108.08565,
Christensen, H. M., Driver, O. G. A.: The Fractal Nature of Clouds in Global Storm-Resolving Models https://arxiv.org/abs/2108.08565
DOI: 10.16993/tellusa.26,
Stephan, C.C., Duras, J., Harris, L., Klocke, D., Putman, W.M., Taylor, M., Wedi, N.P., Žagar, N., and Ziemen, F. (2022). Atmospheric Energy Spectra in Global Kilometre-Scale Models, Tellus A: Dynamic Meteorology and Oceanography, 74(1), pp.280–299
DOI: 10.1029/2021JC018075,
Gutjahr, O., Jungclaus, J. H., Brüggemann, N., Haak, H., and Marotzke, J. (2022). Air-Sea Interactions and Water Mass Transformation During a Katabatic Storm in the Irminger Sea, Journal of Geophysical Research: Oceans, 127, e2021JC018075
DOI: 10.1029/2021GL095746,
Christensen, H. M., & Driver, O. G. A. (2021). The fractal nature of clouds in global storm-resolving models. Geophysical Research Letters, 48, e2021GL095746.
1037: AC3 - ACLOUD modelling
Wendisch, M., A. Macke, A. Ehrlich, C. Lüpkes, M. Mech, D. Chechin, C. Barrientos, H. Bozem, M. Brückner, H.-C. Clemen, S. Crewell, T. Donth, R. Dupuy, K. Ebell, U. Egerer, R. Engelmann, C. Engler, O. Eppers, M. Gehrmann, X. Gong, M. Gottschalk, C. Gourbeyre, H. Griesche, J. Hartmann, M. Hartmann, A. Herber, H. Herrmann, G. Heygster, P. Hoor, S. Jafariserajehlou, E. Jäkel, E. Järvinen, O. Jourdan, U. Kästner, S. Kecorius, E. M. Knudsen, F. Köllner, J. Kretzschmar, L. Lelli, D. Leroy, M. Maturilli, L. Mei, S. Mertes, G. Mioche, R. Neuber, M. Nicolaus, T. Nomokonova, J. Notholt, M. Palm, M. Pinxteren, J. Quaas, P. Richter, E. Ruiz-Donoso, M. Schäfer, K. Schmieder, M. Schnaiter, J. Schneider, A. Schwarzenböck, P. Seifert, M. D. Shupe, H. Siebert, G. Spreen, J. Stapf, F. Stratmann, T. Vogl, A. Welti, H. Wex, A. Wiedensohler, M. Zanatta, S. Zeppenfeld, K. Dethloff, and B. Heinold, The Arctic Cloud Puzzle: Using ACLOUD/PASCAL Multi-Platform Observations to Unravel the Role of Clouds and Aerosol Particles in Arctic Amplification, Bull. Amer. Meteorol. Soc, revised.
DOI: 10.1175/BAMS-D-18-0072.1,
Wendisch, M., A. Macke, A. Ehrlich, C. Lüpkes, M. Mech, D. Chechin, C. Barrientos, H. Bozem, M. Brückner, H.-C. Clemen, S. Crewell, T. Donth, R. Dupuy, K. Ebell, U. Egerer, R. Engelmann, C. Engler, O. Eppers, M. Gehrmann, X. Gong, M. Gottschalk, C. Gourbeyre, H. Griesche, J. Hartmann, M. Hartmann, A. Herber, H. Herrmann, G. Heygster, P. Hoor, S. Jafariserajehlou, E. Jäkel, E. Järvinen, O. Jourdan, U. Kästner, S. Kecorius, E. M. Knudsen, F. Köllner, J. Kretzschmar, L. Lelli, D. Leroy, M. Maturilli, L. Mei, S. Mertes, G. Mioche, R. Neuber, M. Nicolaus, T. Nomokonova, J. Notholt, M. Palm, M. Pinxteren, J. Quaas, P. Richter, E. Ruiz-Donoso, M. Schäfer, K. Schmieder, M. Schnaiter, J. Schneider, A. Schwarzenböck, P. Seifert, M. D. Shupe, H. Siebert, G. Spreen, J. Stapf, F. Stratmann, T. Vogl, A. Welti, H. Wex, A. Wiedensohler, M. Zanatta, S. Zeppenfeld, K. Dethloff, and B. Heinold, The Arctic Cloud Puzzle: Using ACLOUD/PASCAL Multi-Platform Observations to Unravel the Role of Clouds and Aerosol Particles in Arctic Amplification, Bull. Amer. Meteorol. Soc, 100, 841-871, doi:10.1175/BAMS-D-18-0072.1, 2019.
1036: ArctiC Amplification: Climate Relevant Atmospheric and SurfaCe Processes, and Feedback Mechanisms, (AC)³ – University of Leipzig contribution
Kretzschmar, J., M. Salzmann, J. Mülmenstädt, and J. Quaas, Arctic cloud cover bias in ECHAM6 and its sensitivity to cloud microphysics and surface fluxes, Atmos. Chem. Phys. Discuss., submitted.
DOI: 10.5194/acp-19-10571-2019,
Kretzschmar, J., M. Salzmann, J. Mülmenstädt, and J. Quaas, Arctic cloud cover bias in ECHAM6 and its sensitivity to cloud microphysics and surface fluxes, Atmos. Chem. Phys., 19, 10571-10589, doi:10.5194/acp-19-10571-2019, 2019.
DOI: 10.1175/BAMS-D-21-0218.1,
Wendisch, M., M. Brückner, S. Crewell, A. Ehrlich, J. Notholt, C. Lüpkes, A. Macke, J. Burrows, A. Rinke, J. Quaas, M. Maturilli, V. Schemann, M. Shupe, C. Barrientos-Velasco, K. Barfuss, A. Blechschmidt, K. Block, I. Bougoudis, H. Bozem, C. Böckmann, A. Bracher, H. Bresson, I. Bretschneider, M. Buschmann, D. Chechin, J. Chylik, S. Dahlke, H. Deneke, K. Dethloff, T. Donth, W. Dorn, R. Dupuy, K. Ebell, U. Egerer, R. Engelmann, O. Eppers, R. Gerdes, R. Gierens, I. Gorodetskaya, M. Gottschalk, H. Griesche, V. Gryanik, D. Handorf, B. Altstädter, J. Hartmann, M. Hartmann, B. Heinold, A. Herber, H. Herrmann, G. Heygster, I. Höschel, Z. Hofmann, J. Hölemann, A. Hünerbein, S. Jafariserajehlou, E. Jäkel, C. Jacobi, M. Janout, F. Jansen, O. Jourdan, Z. Juranyi, H. Kalesse-Los, T. Kanzow, R. Käthner, L. Kliesch, M. Klingebiel, E. Knudsen, T. Kovacs, W. Körtke, D. Krampe, J. Kretzschmar, D. Kreyling, B. Kulla, D. Kunkel, A. Lampert, M. Lauer, L. Lelli, A. Von Lerber, O. Linke, U. Loehnert, M. Lonardi, S. Losa, M. Losch, M. Maahn, M. Mech, L. Mei, S. Mertes, E. Metzner, D. Mewes, J. Michaelis, G. Mioche, M. Moser, K. Nakoudi, R. Neggers, R. Neuber, T. Nomokonova, J. Oelker, I. Papakonstantinou-Presvelou, F. Pätzold, V. Pefanis, C. Pohl, M. Van Pinxteren, A. Radovan, M. Rhein, M. Rex, A. Richter, N. Risse, C. Ritter, P. Rostosky, V. Rozanov, E. Ruiz-Donoso, P. Saavedra, M. Salzmann, J. Schacht, M. Schäfer, J. Schneider, N. Schnierstein, P. Seifert, S. Seo, H. Siebert, M. Soppa, G. Spreen, I. Stachlewska, J. Stapf, F. Stratmann, I. Tegen, C. Viceto, C. Voigt, M. Vountas, A. Walbroel, M. Walter, B. Wehner, H. Wex, S. Willmes, M. Zanatta, and S. Zeppenfeld, Atmospheric and Surface Processes, and Feedback Mechanisms Determining Arctic Amplification: A Review of First Results and Prospects of the (AC)3 Project, Bull. Amer. Meteorol. Soc., 104, E208-E242, doi:10.1175/BAMS-D-21-0218.1, 2023.
DOI: 10.1029/2022JD037907,
Karami, K., Borchert, S., Eichinger, R., Jacobi, C., Kuchar, A., Mehrdad, S., Pisoft, P. and Sacha, P., The climatology of elevated stratopause events in the UA-ICON model and the contribution of gravity waves. J. Geophys. Res. Atmos., 28, e2022JD037907, doi:10.1029/2022JD037907, 2023
1035: BMBF-Projekt: ZUWEISS: 1,5°C-Ziel Und der Westantarktische EISSchild
Rodehacke, Christian B., Pfeiffer, M., Semmler, T., Kleiner, T., Sutter, J., Gurses, Ö. (2017): Future Path of the Antarctic Ice Sheet under 1.5°C and 2°C scenarios based on CMIP5 model estimates. In preparation for Special Issue on "The earth system at a global warming of 1.5°C and 2°C" in Earth System Dynamics (deadline: 31.10.2017).
DOI: 10.5194/tc-2019-32,
Gürses, Özgür, Vanessa Kolatschek, Qiang Wang, and Christian B Rodehacke. 2019. “Brief Communication: A Submarine Wall Protecting the Amundsen Sea Intensifies Melting of Neighboring Ice Shelves.” The Cryosphere. https://doi.org/10.5194/tc-2019-32
1034: JPI CLIM Belmont-Forum InterDec: The potential of seasonal-to-decadal-scale inter-regional linkages to advance climate predictions
Manzini, E., Karpechko, A. Y., & Kornblueh, L. (2018). Nonlinear response of the stratosphere and the North Atlantic‐European climate to global warming. Geophysical Research Letters, 45, 4255–4263. https://doi.org/10.1029/2018GL077826. Maher, N., Matei, D., Milinski, S., & Marotzke, J. (2018). ENSO change in climate projections: Forced response or internal variability? Geophysical Research Letters, 45. https://doi.org/10.1029/2018GL079764. The Polar Amplification Model Intercomparison Project (PAMIP) contribution to CMIP6: investigating the causes and consequences of polar amplification D. M. Smith, J. A. Screen, C. Deser, J. Cohen, J. C. Fyfe, J. García-Serrano, T. Jung, V. Kattsov, D. Matei, R. Msadek, Y. Peings, M. Sigmond, J. Ukita, J.-H. Yoon, and X. Zhang (2018): The Polar Amplification Model Intercomparison Project (PAMIP) contribution to CMIP6: investigating the causes and consequences of polar amplification, Geoscientific Model Development.
1033: Luftverkehr, Zirruswolken und Klima
Bier, A., Burkhardt, U., Bock, L., 2017: Synoptic control of contrail cirrus life cycles and their modification due to reduced soot number emissions, J. Geophys. Res. Atmos., in press, doi: 10.1002/2017JD027011.
Bier, A., Burkhardt, U., Bock, L., 2017: Synoptic control of contrail cirrus life cycles and their modification due to reduced soot number emissions, J. Geophys. Res. Atmos., 122, 11584-11603, doi: 10.1002/2017JD027011.
Bier, A., Burkhardt, U., Bock, L., 2017: Synoptic control of contrail cirrus life cycles and their modification due to reduced soot number emissions, J. Geophys. Res. Atmos., 122, 11584-11603, doi: 10.1002/2017JD027011.
Burkhardt, U., Bock, L, & Bier, A, 2018: Mitigating the contrail cirrus climate impact by reducing aircraft soot number emissions. npj Clim. Atmos. Sci., 1, 1-7.
DOI: 10.5194/acp-19-8163-2019,
Bock, L., Burkhardt, U., 2019: Contrail cirrus radiative forcing for future air traffic, Atmos. Chem. Phys. 19, 8163-8174, doi:10.5194/acp-19-8163-2019.
DOI: doi:10.1029/2018JD029155,
Bier, A., Burkhardt, U., 2019: Variability in contrail ice nucleation and its dependence on soot number emissions, J. Geophys. Res. Atmos. 124, 3384-3400, doi:10.1029/2018JD029155.
DOI: DOI: 10.1175/JCLI-D-19-0467.1,
Bickel, M., Ponater, M., Bock, L., Burkhardt, U., Reineke, S., 2020: Effective radiative forcing of contrail cirrus, J. Clim.,33, 1991-2005. DOI: 10.1175/JCLI-D-19-0467.1.
DOI: doi:10.1016/j.atmosenv.2020.817134,
Lee, D.L., Fahey, W., Skowron, A., Allen, M.R., Burkhardt, U., Chen, Q., Doherty, S.J., Freeman, S., Forster, P.M., Fuglestvedt, J.S., Gettelman, A., de Leon, R.R., Lim, L.L., Lund, M.T., Millar, R.J., Owen, B., Penner, J.E., Pitari, G., Prather, M.J., Sausen, R., Wilcox, L.J., 2020: The contribution of global aviation to anthropogenic climate forcing from 2010 to 2018, Atmos. Environ., online first available, doi:10.1016/j.atmosenv.2020.817134.
DOI: 10.5194/acp-20-5657-2020,
Costa-Surós, M. et al, 2020: Detection and attribution of aerosol-cloud interactions in large-domain large-eddy simulations with ICON. doi:10.5194/acp-20-5657-2020
DOI: 10.5194/acp-2020-635,
Rybka, H., U. Burkhardt, M. Köhler, I. Arka, L. Bugliaro, U. Görsdorf, Á. Horváth, C. I. Meyer, J. Reichardt, A. Seifert, and J. Strandgren, 2020: The behavior of high-CAPE summer convection in large-domain large-eddy simulations with ICON, ACPD, doi:10.5194/acp-2020-635.
DOI: 10.2151/jmsj.2020-021,
Stevens, B., and HDCP2 - Added Value Team, 2020, Large-eddy and storm resolving models for Climate Prediction - The Added Value for Clouds and Precipitation, Journal of the Meteorological Society of Japan. doi:10.2151/jmsj.2020-021
DOI: doi: 10.3399/aerospace8020042,
Ponater, M., Bickel, M., Burkhardt, U., Bock, L., 2020: Towards determining contrail cirrus efficacy, Aerospace, 8, 42, doi: 10.3399/aerospace8020042.
DOI: doi:10.1016/j.atmosenv.2020.817134,
Lee, D.L., Fahey, W., Skowron, A., Allen, M.R., Burkhardt, U., Chen, Q., Doherty, S.J., Freeman, S., Forster, P.M., Fuglestvedt, J.S., Gettelman, A., de Leon, R.R., Lim, L.L., Lund, M.T., Millar, R.J., Owen, B., Penner, J.E., Pitari, G., Prather, M.J., Sausen, R., Wilcox, L.J., 2020: The contribution of global aviation to anthropogenic climate forcing from 2010 to 2018, Atmos. Environ., online first available, doi:10.1016/j.atmosenv.2020.817134.
DOI: 10.5194/acp-21-4285-2021,
Rybka, H., Burkhardt, U., Köhler, M., Arka, I., Bugliaro, L., Görsdorf, U., Horváth, Á., Meyer, C. I., Reichardt, J., Seifert, A., and Strandgren, J.: The behavior of high-CAPE (convective available potential energy) summer convection in large-domain large-eddy simulations with ICON, Atmos. Chem. Phys., 21, 4285–4318, https://doi.org/10.5194/acp-21-4285-2021, 2021.
Bier, A. and U. Burkhardt, 2022: Impact of parametrizing microphysical processes in the jet and vortex phase on contrail cirrus properties and radiative forcing, JGR-Atmospheres, in review.
Königl, Tobias, Oktober 2021: Einfluss der Kondensstreifenbildung auf Wolken und Klima in den nördlichen hohen Breiten, Masterarbeit am Meteorologischen Institut der LMU, München.
Märkl, Voigt, Sauer, Dischl, Kaufmann, Harlaß, Hahn, Roiger, Weiß-Rehm, Burkhardt, Schumann, Marsing, Scheibe, Dörnbrack, Renard, Gauthier, Swann, Madden, Luff, Sallinen, Schripp, and Le Clercq, in review: Powering aircraft with 100% sustainable aviation fuel reduces ice crystals in contrails
Bickel, Ponater, Burkhardt, Righi, Hendricks, Joeckel, to be submitted: Contrail Cirrus Climate Impact: From Radiative Forcing to Surface Temperature Change
1028: HAPPI-DE
Wehner et al. "Changes in extremely hot days under stabilized 1.5oC and 2.0oC global warming scenarios as simulated by the HAPPI multi-model ensemble" ESD. submitted.
Shiogama et al. "1.5ºC goal of Paris agreement will reduce inequities in extreme climate hazards". Nature Climate Change. submitted.
Li et al. "Midlatitude atmospheric circulation response under 1.5°C and 2.0°C warming and implications for regional impacts". In preparation.
1026: Impact of land model depth on climate and climate change scenario Simulations (ILModelS)
DOI: 10.5194/cp-14-1583-2018,
Melo-Aguilar, C., González-Rouco, J. F., García-Bustamante, E., Navarro-Montesinos, J., and Steinert, N.: Influence of radiative forcing factors on ground–air temperature coupling during the last millennium: implications for borehole climatology, Clim. Past, 14, 1583–1606.
DOI: 10.5194/cp-2019-120,
Melo-Aguilar, C., González-Rouco, J. F., García-Bustamante, E., Steinert, N., Jungclaus, J. H., Navarro, J., and Roldan-Gómez, P. J.: Methodological and physical biases in global to sub-continental borehole temperature reconstructions: an assessment from a pseudo-proxy perspective, Clim. Past Discuss. In review, 2019
DOI: 10.5194/cp-14-1583-2018,
Melo-Aguilar, C., González-Rouco, J. F., García-Bustamante, E., Navarro-Montesinos, J., and Steinert, N.: Influence of radiative forcing factors on ground–air temperature coupling during the last millennium: implications for borehole climatology, Clim. Past, 14, 1583–1606.
DOI: 10.5194/cp-16-453-2020,
Melo-Aguilar, C., González-Rouco, J. F., García-Bustamante, E., Steinert, N., Jungclaus, J. H., Navarro, J., and Roldán-Gómez, P. J.: Methodological and physical biases in global to subcontinental borehole temperature reconstructions: an assessment from a pseudo-proxy perspective, Clim. Past, 16, 453–474, https://doi.org/10.5194/cp-16-453-2020, 2020.
DOI: 10.5194/cp-16-1285-2020,
Roldán-Gómez, P. J., González-Rouco, J. F., Melo-Aguilar, C., and Smerdon, J. E.: Dynamical and hydrological changes in climate simulations of the last millennium, Clim. Past, 16, 1285–1307, https://doi.org/10.5194/cp-16-1285-2020, 2020.
DOI: 10.5194/cp-14-1583-2018,
Melo-Aguilar, C., González-Rouco, J. F., García-Bustamante, E., Navarro-Montesinos, J., and Steinert, N.: Influence of radiative forcing factors on ground–air temperature coupling during the last millennium: implications for borehole climatology, Clim. Past, 14, 1583–1606.
DOI: 10.5194/cp-16-453-2020,
Melo-Aguilar, C., González-Rouco, J. F., García-Bustamante, E., Steinert, N., Jungclaus, J. H., Navarro, J., and Roldán-Gómez, P. J.: Methodological and physical biases in global to subcontinental borehole temperature reconstructions: an assessment from a pseudo-proxy perspective, Clim. Past, 16, 453–474, https://doi.org/10.5194/cp-16-453-2020, 2020.
DOI: 10.5194/cp-16-1285-2020,
Roldán-Gómez, P. J., González-Rouco, J. F., Melo-Aguilar, C., and Smerdon, J. E.: Dynamical and hydrological changes in climate simulations of the last millennium, Clim. Past, 16, 1285–1307, https://doi.org/10.5194/cp-16-1285-2020, 2020.
DOI: 10.1175/JHM-D-21-0024.1,
González-Rouco, J. F., Steinert, N. J., García-Bustamante, E., Hagemann, S., de Vrese, P., Jungclaus, J. H., ... & Navarro, J. (2021). Increasing the depth of a land surface model. Part I: Impacts on the subsurface thermal regime and energy storage. Journal of Hydrometeorology, 22(12), 3211-3230.
DOI: 10.5194/cp-16-453-2020,
Melo-Aguilar, C., González-Rouco, J. F., García-Bustamante, E., Steinert, N., Jungclaus, J. H., Navarro, J., and Roldán-Gómez, P. J.: Methodological and physical biases in global to subcontinental borehole temperature reconstructions: an assessment from a pseudo-proxy perspective, Clim. Past, 16, 453–474, https://doi.org/10.5194/cp-16-453-2020, 2020.
DOI: 10.1029/2021GL094273,
Steinert N. J., J. F. González-Rouco, C. Melo Aguilar, F. García-Pereira, E. García-Bustamante, P. de Vrese, V. Alexeev, J. H. Jungclaus, S. J. Lorenz, and S. Hagemann: "Agreement of analytical and simulation-based estimates of the required land depth in climate models". Geophysical Research Letters, 48, e2021GL094273
DOI: 10.1175/JHM-D-21-0023.1,
Steinert, N. J., J. F. González-Rouco, P. De Vrese, E. García-Bustamante, S. Hagemann, C. Melo-Aguilar, J. H. Jungclaus, and S. J. Lorenz : "Increasing the depth of a land surface model. Part II: Sensitivity to improved coupling between soil hydrology and thermodynamics and associated permafrost response". Journal of Hydrometeorology, 22
DOI: 10.1175/JHM-D-21-0024.1,
González-Rouco, J. F., Steinert, N. J., García-Bustamante, E., Hagemann, S., de Vrese, P., Jungclaus, J. H., ... & Navarro, J. (2021). Increasing the depth of a land surface model. Part I: Impacts on the subsurface thermal regime and energy storage. Journal of Hydrometeorology, 22(12), 3211-3230.
DOI: 10.5194/cp-16-453-2020,
Melo-Aguilar, C., González-Rouco, J. F., García-Bustamante, E., Steinert, N., Jungclaus, J. H., Navarro, J., and Roldán-Gómez, P. J.: Methodological and physical biases in global to subcontinental borehole temperature reconstructions: an assessment from a pseudo-proxy perspective, Clim. Past, 16, 453–474, https://doi.org/10.5194/cp-16-453-2020, 2020.
DOI: 10.1029/2021GL094273,
Steinert N. J., J. F. González-Rouco, C. Melo Aguilar, F. García-Pereira, E. García-Bustamante, P. de Vrese, V. Alexeev, J. H. Jungclaus, S. J. Lorenz, and S. Hagemann: "Agreement of analytical and simulation-based estimates of the required land depth in climate models". Geophysical Research Letters, 48, e2021GL094273
DOI: 10.1175/JHM-D-21-0023.1,
Steinert, N. J., J. F. González-Rouco, P. De Vrese, E. García-Bustamante, S. Hagemann, C. Melo-Aguilar, J. H. Jungclaus, and S. J. Lorenz : "Increasing the depth of a land surface model. Part II: Sensitivity to improved coupling between soil hydrology and thermodynamics and associated permafrost response". Journal of Hydrometeorology, 22
DOI: 10.1175/JHM-D-21-0023.1,
Steinert, N. J., J. F. González-Rouco, P. De Vrese, E. García-Bustamante, S. Hagemann, C. Melo-Aguilar, J. H. Jungclaus, and S. J. Lorenz : "Increasing the depth of a land surface model. Part II: Sensitivity to improved coupling between soil hydrology and thermodynamics and associated permafrost response". Journal of Hydrometeorology, 22
1025: EXOSYSTEM
S. D. Martyanov, A. Yu. Dvornikov, V. A. Ryabchenko, D. V. Sein, S. M. Gordeeva (2018), Investigation of the Relationship between Primary Production and Sea Ice in the Arctic Seas: Assessments based on a small-component model of a marine ecosystem, Fundamentalnaya i Prikladnaya Gidrofizika, 11, 2, 108—117, doi: 10.7868/S207366731802010
Isaev, A.,Voloshchuk, E.,Ryabchenko, V.,Eremina, T., Gordeeva, S. Assessment of hazards in the Baltic Sea ecosystem in the future climate. International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM, 17(41), 2017, pp. 359-366.
DOI: 10.1016/j.oceano.2017.05.003,
Antti Westerlund, Laura Tuomi, Pekka Alenius, Elina Miettunen, Roman E. Vankevich. Attributing mean circulation patterns to physical phenomena in the Gulf of Finland. Oceanologia, Vol 60, Iss 1, Pp 16-31 (2018)
DOI: 10.1080/16000870.2019.1627149,
Westerlund Antti, Tuomi Laura, Alenius Pekka, Myrberg Kai, Miettunen Elena, Vankevich Roman Evgenjevich, Hordoir Robinson. Circulation patterns in the Gulf of Finland from daily to seasonal timescales, Tellus A: Dynamic Meteorology and Oceanography, 2019
DOI: 10.7868/S207366731802003X,
Ryabchenko V. A., Leontyev I. O., Ryabchuk D. V., Sergeev A. Yu., Dvornikov A. Yu., Martyanov S. D., Zhamoida V. A. Mitigation measures of coastal erosion on the Kotlin Island’s shores in the Gulf of Finland, the Baltic Sea. Fundamentalnaya i Prikladnaya Gidrofizika. 2018, 11, 2, 36—50.
DOI: in press,
Sein D.V., Gröger Matthias, Cabos William, Alvarez Francisco, Hagemann Stefan, Pinto Joaquim G., Izquierdo Alfredo, Koldunov Nikolay V., Dvornikov Anton Yu., Limareva Natalia, Martinez Benjamin, Jacob Daniela. Regionally coupled atmosphere - ocean - marine biogeochemistry model ROM: 2. Studying the climate change signal in the North Atlantic and Europe. Journal of Advances in Modeling Earth Systems, 2019
DOI: 10.3390/jmse7070229,
Stanislav D. Martyanov, Anton Yu. Dvornikov, Vladimir A. Ryabchenko, Dmitry V. Sein. Modeling of sediment transport in the Bothnian Bay in the vicinity of the nuclear power plant 'Hanhikivi-1' construction site. Journal of marine science and engineering, 2019
DOI: 10.7868/s2073667318020107,
Martyanov S. D., Dvornikov A. Yu., Ryabchenko V. A., Sein D. V.,Gordeeva S. M. Investigation of the relationship between primary production and sea ice in the arctic seas: assessments based on a small-component model of marine ecosystem. Prikladnaya Gidrofizika. 2018, 11 - 2, 108—117
1022: The middle atmosphere in a changing climate - MACClim
DOI: 10.5194/acp-19-921-2019,
Eichinger, R., Dietmüller, S., Garny, H., Šácha, P., Birner, T., Bönisch, H., Pitari, G., Visioni, D., Stenke, A., Rozanov, E., Revell, L., Plummer, D. A., Jöckel, P., Oman, L., Deushi, M., Kinnison, D. E., Garcia, R., Morgenstern, O., Zeng, G., Stone, K. A., and Schofield, R.: The influence of mixing on the stratospheric age of air changes in the 21st century, Atmos. Chem. Phys., 19, 921-940, https://doi.org/10.5194/acp-19-921-2019, 2019
DOI: 10.5194/acp-19-5269-2019,
Hauck, M., Fritsch, F., Garny, H., and Engel, A.: Deriving stratospheric age of air spectra using an idealized set of chemically active trace gases, Atmos. Chem. Phys., 19, 5269-5291, https://doi.org/10.5194/acp-19-5269-2019, 2019.
DOI: 10.1007/s00382-020-05166-w,
https://link.springer.com/article/10.1007%2Fs00382-020-05166-w
DOI: 10.5194/acp-20-8709-2020,
https://acp.copernicus.org/articles/20/8709/2020/
DOI: 10.5194/gmd-2019-330,
https://gmd.copernicus.org/preprints/gmd-2019-330/
DOI: 10.5194/acp-2021-232,
Loeffel, S., Eichinger, R., Garny, H., Reddmann, T., Fritsch, F., Versick, S., Stiller, G., and Haenel, F.: The impact of SF6 sinks on age of air climatologies and trends, Atmos. Chem. Phys. Discuss. [preprint], https://doi.org/10.5194/acp-2021-232, in review, 2021
DOI: 10.5194/acp-21-6811-2021,
Dietmüller, S., Garny, H., Eichinger, R., & Ball, W. T.: Analysis of recent lower-stratospheric ozone trends in chemistry climate models, Atmospheric Chemistry and Physics, 21, 6811–6837, doi: 10.5194/acp-21-6811-2021, URL https://acp.copernicus.org/articles/21/6811/2021/ (2021)
DOI: 10.5194/acp-22-1175-2022,
Loeffel, S., Eichinger, R., Garny, H., Reddmann, T., Fritsch, F., Versick, S., Stiller, G., and Haenel, F. (2022): The impact of sulfur hexafluoride (SF6) sinks on age of air climatologies and trends; Atmospheric Chemistry and Physics (ACP), 22, 1175--1193, 2022, doi: 10.5194/acp-22-1175-2022
Hufnagl, L., Eichinger, R., Garny, H., Birner, T., Kuchar, A., Jöckel, P., and Graf, P.,Stratospheric Ozone Changes damp the CO2-induced Brewer-Dobson CirculationAcceleration, in review, Journal of Climate, 2022
Walz, R., Garny, H., and Birner, T.: Stratospheric Influence during Tropical Upper-Tropospheric Warming in an Idealized General Circulation Model, accepted, JAS, 2022.
DOI: 10.5194/gmd-16-5561-2023,
Eichinger, R., Rhode, S., Garny, H., Preusse, P., Pisoft, P., Kuchař, A., Jöckel, P., Kerkweg, A., and Kern, B.: Emulating lateral gravity wave propagation in a global chemistry–climate model (EMAC v2.55.2) through horizontal flux redistribution, Geosci. Model Dev., 16, 5561–5583, https://doi.org/10.5194/gmd-16-5561-2023, 2023.
DOI: 10.1175/JCLI-D-22-0512.1,
Hufnagl, L., R. Eichinger, H. Garny, T. Birner, A. Kuchař, P. Jöckel, P. Graf, 2023, Stratospheric Ozone Changes damp the CO2-induced Acceleration of the Brewer-Dobson Circulation
DOI: 10.1175/JAS-D-21-0232.1,
Walz, R., H. Garny, T. Birner, 2023, Stratospheric modulation of tropical upper-tropospheric warming-induced circulation changes in an idealized general circulation model, J. Atmos. Sci., 80, 611–631, https://doi.org/10.1175/JAS-D-21-0232.1.
1021: Paleo-Constraints on Monsoon Evolution and Dynamics (PACMEDY)
DOI: 10.5194/gmd-12-3991-2019,
Koldunov, N. V., Aizinger, V., Rakowsky, N., Scholz, P., Sidorenko, D., Danilov, S., and Jung, T. (2019). Scalability and some optimization of the Finite-volumE Sea ice Ocean Model, Version 2.0 (FESOM2). Geosci. Model Dev., 12, 3991-4012, https://doi.org/10.5194/gmd-12-3991-2019.
Shi, X., & Lohmann, G., 2016, Simulated response of the mid-Holocene Atlantic meridional overturning circulation in ECHAM6-FESOM/MPIOM. Journal of Geophysical Research: Oceans, 121(8), 6444-6469.
DOI: 10.1029/2019MS001696,
Sidorenko, D., H. F. Goessling, N. Koldunov, P. Scholz, S. Danilov, D. Barbi, W. Cabos, O. Gurses, S. Harig, C. Hinrichs, S. Juricke, G. Lohmann, M. Losch, L. Mu, T. Rackow, N. Rakowsky, D. Sein, T. Semmler, X. Shi, C. Stepanek, J. Streffing, Q. Wang, C. Wekerle, H. Yang, T. Jung: Evaluation of FESOM2.0 coupled to ECHAM6.3: Pre-industrial and HighResMIP simulations. Journal of Advances in Modeling Earth Systems, DOI: 10.1029/2019MS001696 (in press).
DOI: doi:10.1038/s41467-020-18478-6,
Bader, J.; Jungclaus, J.; Krivova, N.; Lorenz, S.; and Claussen, M., 2020: Global temperature modes shed light on the Holocene temperature conundrum”, Nature Communications, 11: 4726.
DOI: doi:10.1029/2018GL081589,
D'Agostino, R., Bader, J., Bordoni, S., Ferreira, D. & Jungclaus, J., 2019: Northern hemisphere monsoon response to mid-holocene orbital forcing and greenhouse gas-induced global warming. Geophysical Research Letters, 46, 1591-1601.
DOI: doi:10.1175/JCLI-D-19-0672.1,
D'Agostino, R., Brown, J., Moise, A., Nguyen, H., Silva Dias, P. & Jungclaus, J.H., 2020: Contrasting southern hemisphere monsoon response: mid-Holocene orbital forcing versus future greenhouse-gas induced global warming. Journal of Climate, 33, 9595-9613.
DOI: doi:10.5194/cp-16-117-2020,
Dallmeyer, A. Claussen, M., Lorenz, S.J., Shanahan, T.: The end of the African humid period as seen by a transient comprehensive Earth system model simulation of the last 8000 years, Clim. Past, 16, 117–140, 2020.
1019: Seastorm
DOI: 10.5194/os-15-651-2019,
Lang, A. and U. Mikolajewicz (2019). The long-term variability of extreme storm floods in the German Bight. Ocean Sci., 15, 651-668.
1006: Simulations of the Mid-Piacenzian Warm Period (~3.3-3.0 Ma BP) using MPI-ESM 1.2.00 in the framework of the Pliocene Model Intercomparison Project Phase 2 (PlioMIP2)
So far there are no publications. Besides providing the data to the PlioMIP2 and CMIP6 data bases, we will publish an overview of our results in the PlioMIP2 special issue of Climate of the Past
DOI: 10.5194/cp-19-61-2023,
Weiffenbach, J. E., Baatsen, M. L. J., Dijkstra, H. A., von der Heydt, A. S., Abe-Ouchi, A., Brady, E. C., Chan, W.-L., Chandan, D., Chandler, M. A., Contoux, C., Feng, R., Guo, C., Han, Z., Haywood, A. M., Li, Q., Li, X., Lohmann, G., Lunt, D. J., Nisancioglu, K. H., Otto-Bliesner, B. L., Peltier, W. R., Ramstein, G., Sohl, L. E., Stepanek, C., Tan, N., Tindall, J. C., Williams, C. J. R., Zhang, Q., and Zhang, Z.: Unraveling the mechanisms and implications of a stronger mid-Pliocene Atlantic Meridional Overturning Circulation (AMOC) in PlioMIP2, Clim. Past, 19, 61–85, https://doi.org/10.5194/cp-19-61-2023, 2023.
DOI: 10.5194/cp-19-747-2023,
Burton, L. E., Haywood, A. M., Tindall, J. C., Dolan, A. M., Hill, D. J., Abe-Ouchi, A., Chan, W.-L., Chandan, D., Feng, R., Hunter, S. J., Li, X., Peltier, W. R., Tan, N., Stepanek, C., and Zhang, Z.: On the climatic influence of CO2 forcing in the Pliocene, Clim. Past, 19, 747–764, doi:
DOI: doi:10.1016/j.epsl.2023.118020,
Jian, Z., Dang, H., Yu, J., Wu, Q., Gong, X., Stepanek, C., Colin, C., Hu, L., Lohmann, G., Zhou, X., and Wan, S.: Changes in deep Pacific circulation and carbon storage during the Pliocene-Pleistocene transition, Earth and Planetary Science Letters, 605, 118020, doi:
DOI: 10.1038/s41561-022-00999-y,
Pontes, G.M., Taschetto, A.S., Sen Gupta, A., Santoso, A., Wainer, I., Haywood, A.M., Chan, W.-L., Abe-Ouchi, A., Stepanek, C., Lohmann, G., et al.: Mid-Pliocene El Niño/Southern Oscillation suppressed by Pacific intertropical convergence zone shift, Nature Geoscience, 15, 726–734, https://doi.org/10.1038/s41561-022-00999-y, 2022.
DOI: 10.5194/egusphere-2022-1281,
Ren, X., Lunt, D. J., Hendy, E., von der Heydt, A., Abe-Ouchi, A., Otto-Bliesner, B. L., Williams, C. J. R., Stepanek, C., Guo, C., Chandan, D., Lohmann, G., Tindall, J. C., Sohl, L. E., Chandler, M. A., Kageyama, M., Baatsen, M. L. J., Tan, N., Zhang, Q., Feng, R., Chan, W.-L., Peltier, W. R., Li, X., Kamae, Y., Zhang, Z., and Haywood, A. M.: The hydrological cycle and ocean circulation of the Maritime Continent in the mid-Pliocene: results from PlioMIP2, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2022-1281, 2022.
1005: Model-based quantification of aerosol and cloud processes and their effects in the Arctic
Schacht, J., Heinold, B., and Tegen, I., Aerosol as a player in the Arctic Amplification – an aerosol-climate model evaluation study, EGU General Assembly 2017, Vienna, Austria, 23-28 April 2017.
Schacht, J., Heinold, B., Quaas, J., Backman, J., Cherian, R., Ehrlich, A., Herber, A., Huang, W. T. K., Kondo, Y., Massling, A., Sinha, P. R., Weinzierl, B., Zanatta, M., and Tegen, I.: The importance of the representation of air pollution emissions for the modeled distribution and radiative effects of black carbon in the Arctic, Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2019-71, in review, 2019.
1004: Development and evaluation of aerosol processes in ECHAM-HAMMOZ
Tegen, I. and B. Heinold, 2018. Large-scale modeling of absorbing aerosols and their semi-direct effects, Atmosphere, 9(10), 380.
Tegen, I., D. Neubauer, S. Ferrachat, C. Siegenthaler-Le Drian, I. Bey, N. Schutgens, P. Stier, D. Watson-Parris, T. Stanelle, H. Schmidt, S. Rast, H. Kokkola, M. Schultz, S. Schroeder, N. Daskalakis, S. Barthel, B. Heinold, and U. Lohmann, 2019. The aerosol-climate model ECHAM6.3-HAM2.3: Part 1: Aerosol evaluation, accepted for Geosci. Model Dev. gmd-2018-235.
DOI: 10.5194/gmd-12-1643-2019,
Tegen, I., Neubauer, D., Ferrachat, S., Siegenthaler-Le Drian, C., Bey, I., Schutgens, N., Stier, P., Watson-Parris, D., Stanelle, T., Schmidt, H., Rast, S., Kokkola, H., Schultz, M., Schroeder, S., Daskalakis, N., Barthel, S., Heinold, B., and Lohmann, U.: The global aerosol–climate model ECHAM6.3–HAM2.3 – Part 1: Aerosol evaluation, Geosci. Model Dev., 12, 1643–1677, https://doi.org/10.5194/gmd-12-1643-2019, 2019.
DOI: 10.5194/acp-20-4607-2020,
Hodzic, A., Campuzano-Jost, P., Bian, H., Chin, M., Colarco, P. R., Day, D. A., Froyd, K. D., Heinold, B., Jo, D. S., Katich, J. M., Kodros, J. K., Nault, B. A., Pierce, J. R., Ray, E., Schacht, J., Schill, G. P., Schroder, J. C., Schwarz, J. P., Sueper, D. T., Tegen, I., Tilmes, S., Tsigaridis, K., Yu, P., and Jimenez, J. L.: Characterization of organic aerosol across the global remote troposphere: a comparison of ATom measurements and global chemistry models, Atmos. Chem. Phys., 20, 4607–4635, https://doi.org/10.5194/acp-20-4607-2020, 2020.
1003: SMART-CHAOS
Howe, B. M.; …; Thomas, M.; Weber, T.; et al. SMART Cables for Observing the Global Ocean: Science and Implementation, Frontiers in Marine Science (2019, submitted)
1002: Forcing in the long-wave spectrum due to aerosol-cloud interactions: satellite and climate modelling vs. HALO (FLASH)
Sourdeval, O., E. Gryspeerdt, M. Krämer, T. Goren, J. Delanoë, A. Afchine, F. Hemmer, and J. Quaas, Ice crystal number concentration estimates from lidar-radar satellite remote sensing. Part 1: Method and evaluation, Atmos. Chem. Phys. Discuss., in review, doi:10.5194/acp-2018-20.
Sourdeval, O., E. Gryspeerdt, M. Krämer, T. Goren, J. Delanoë, A. Afchine, F. Hemmer, and J. Quaas, Ice crystal number concentration estimates from lidar-radar satellite remote sensing. Part 1: Method and evaluation, Atmos. Chem. Phys., 18, 14327-14350, doi:10.5194/acp-18-14327-2018, 2018.
Gryspeerdt, E., O. Sourdeval, J. Quaas, J. Delanoë, and P. Kühne, Ice crystal number concentration estimates from lidar-radar satellite retrievals. Part 2: Controls on the ice crystal number concentration, Atmos. Chem. Phys., 18, 14351-14370, doi:10.5194/acp-18-14351-2018, 2018.
1001: Marine Stratocumulus Cloud Cover and Climate (MSCCC)
publications are in preparation
DOI: 10.1029/2018GL078122,
Goren, T., D. Rosenfeld, O. Sourdeval, and J. Quaas, Satellite observations of precipitating marine stratocumulus show greater cloud fraction for decoupled clouds in comparison to coupled clouds, Geophys. Res. Lett., 45, 5126-5134, doi:10.1029/2018GL078122, 2018.
994: HD(CP)2, S3, TP2
n/a
992: HD(CP)2 - II S5, TP6
Heinze, R. et al : Large-eddy simulations over Germany using ICON: A comprehensive evaluation, Quart. J. Roy. Meteorol. Soc., accepted.
989: PalMod WG1
So far, no publications are related to the simulations performed in the framework of DKRZ-Project 989. See the report for allocation period 2016 for details.
Acevedo, W., Fallah, B., Reich, S., and Cubasch, U.: Assimilation of pseudo-tree-ring-width observations into an atmospheric general circulation model, Clim. Past, 13, 545-557, https://doi.org/10.5194/cp-13-545-2017, 2017.
Emanuel Christner, Franziska Aemisegger, Stephan Pfahl, MartinWerner, Alexandre Cauquoin, Matthias Schneider, Frank Hase, Sabine Barthlott, and Gerd Schädler: The climatological impacts of continental surface evaporation, rainout, and sub-cloud processes on dD of water vapor and precipitation in Europe (submitted to JGR)
Bijan Fallah, Walter Acevedo, Emmanuele Russo, Nico Becker, and Ulrich Cubasch: Towards High Resolution Climate Reconstruction Using an Off-line Data Assimilation and COSMO-CLM 5.00 Model; submitted to CPD.
Klemann et al.: A Holocene sea-level database for the Baltic Sea. Quat. Sci Rev., submitted Oct 26, 2017.
Brovkin, V., Lorenz, S., Raddatz, T., Ilyina, T., Heinze, M., Stemmler, I., and the Hamburg Holocene team. Land as the carbon sink, ocean as the atmospheric CO2 source during the Holocene, Biogeosciences, Special Issue of the 10th International Carbon Dioxide Conference (ICDC10), to be submitted / in preparation.
Gromov, Steil, Kleinen and Brovkin: On the atmospheric CH4 lifetime during LGM (to be submitted / in preparation).
Heinemann, M., Segschneider, J., and Schneider, B.: Glacial CO2 drawdown due to particle ballasting by aeolian dust: an estimate using the ocean carbon cycle model MPIOM/HAMOCC version 1.6.2p3, Geosci. Model Dev., (to be submitted / in preparation).
M.K. Karremann, G. Schädler und Ch. Kottmeier: Modelling the Surface Mass balance of the Greenland ice Sheet in the Regional Climate Model COSMO-CLM, The Cryoshere, (to be submitted / in preparation).
Kleinen & Brovkin: Wetland distribution uncertainty effects on CH4 emissions (to be submitted / in preparation).
Riddick, T., Brovkin, V., Hagemann S., and Mikolajewicz U., Dynamic Hydrological Discharge Modelling for Coupled Climate Model Simulations of the Last Glacial Cycle, 2017 (in preparation, to be submitted to Geoscientific Model Development)
Fang Tian, Ph.D; Xianyong Cao; Anne Dallmeyer; Gerrit Lohmann; Xu Zhang; Jian Ni; Andrei Andreev; Patricia M. Anderson; Anatoly V. Lozhkin; Elena Bezrukova; Natalia Rudaya; Qinghai Xu; Ulrike Herzschuh: Biome changes and their inferred climatic drivers in northern and eastern continental Asia at selected times since 40 cal ka BP, accepted in Vegetation History and Archaeobotany
The Holocene-Team, MPI-M Hamburg: The termination of the African Humid Period (to be submitted to Global Holocene vegetation changes)
all publications are mentioned within the report. After some time of model development and research, now PalMod is on the way to publish results. In total more than 125 publications are in press / submitted that belong to PalMod as a direct BMBF funded research result or as an in-kind contribution to PalMod. All publications are available via: https://www.palmod.de/palmod_publications
DOI: doi:10.1038/s41467-019-08606-2,
Gong, X., Lembke-Jene, L., Lohmann, G., Knorr, G., Tiedemann, R., Zou, J. J. & Shi, X. F. (2019): Enhanced North Pacific deep-ocean stratification by stronger intermediate water formation during the Heinrich Stadial 1. Nature Communications, 10, 656, doi:10.1038/s41467-019-08606-2.
Hinck, S. , Gowan, E. J. , and Lohmann, G. (in review). LakeCC: a tool for efficiently identifying lake basins with application to paleo-geographic reconstructions of North America. In revision for Journal of Quaternary Science.
DOI: doi:10.5194/tc-13-1441-2019,
Seroussi, H., Nowicki, S., Simon, E., Abe-Ouchi, A., Albrecht, T., Brondex, J., Cornford, S., Dumas, C., Gillet-Chaulet, F., Goelzer, H., Golledge, N. R., Gre- gory, J. M., Greve, R., Hoffman, M. J., Humbert, A., Huybrechts, P., Kleiner, T., Larour, E., Leguy, G., Lipscomb, W. H., Lowry, D., Mengel, M., Morlighem, M., Pattyn, F., Payne, A. J., Pollard, D., Price, S. F., Quiquet, A., Reerink, T. J., Reese, R., Rodehacke, C. B., Schlegel, N.-J., Shepherd, A., Sun, S., Sut- ter, J., Breedam, J. V., van de Wal, R. S. W., Winkelmann, R., and Zhang, T. (2019). initMIP-Antarctica: an ice sheet model initialization experiment of ISMIP6, The Cryosphere, 13, 1441–1471. doi:10.5194/tc-13-1441-2019
DOI: doi:10.5194/cp-15-153-2019,
Ziemen, F., Kapsch, M.-L., Klockmann, M., and Mikolajewicz, U. (2019). Heinrich events show two-stage climate response in transient glacial simulations. Climate of the Past, 15, 153-168. doi:10.5194/cp-15-153-2019
DOI: 10.1109/eScience.2018.00044,
Behrens, J., Biercamp, J., Bockelmann, H. & Neumann, P., Increasing parallelism in climate models via additional component concurrency. 2018 IEEE 14th International Conference on e-Science (e-Science), Amsterdam, Netherlands, 271-271
DOI: 10.5194/gmd-12-3991-2019,
Koldunov, N. V., Aizinger, V., Rakowsky, N., Scholz, P., Sidorenko, D., Danilov, S., and Jung, T. (2019). Scalability and some optimization of the Finite-volumE Sea ice Ocean Model, Version 2.0 (FESOM2). Geosci. Model Dev., 12, 3991-4012, https://doi.org/10.5194/gmd-12-3991-2019.
DOI: doi:10.1038/nature25454,
Rehfeld, K., Münch, T., Ho, S. L. and Laepple, T.: Global patterns of declining temperature variability from the Last Glacial Maximum to the Holocene, Nature,554(7692), 356–359
DOI: 10.5194/gmd-11-4291-2018,
Riddick, T., Brovkin, V., Hagemann, S. & Mikolajewicz, U., Dynamic hydrological discharge modelling for coupled climate model simulations of the last glacial cycle: the MPI-DynamicHD model version 3.0. Geoscientific Model Development, 11, 4291-4316, doi:10.5194/gmd-11-4291-2018, 2018.
Samaey, G. & Slawig, T., A micro/macro parallel-in-time (parareal) algorithm applied to a climate model with discontinuous non-monotone coefficients and oscillatory forcing. Mathematics and Computers in Simulation, arXiv:1806.04442, submitted
DOI: 10.5194/gmd-2018-329,
Scholz, P., Sidorenko, D., Gurses, O., Danilov, S., Koldunov, N., Wang, Q., Sein, D., Smolentseva, M., Rakowsky, N., and Jung, T.: Assessment of the Finite VolumE Sea Ice Ocean Model (FESOM2.0), Part I: Description of selected key model elements and comparison to its predecessor version, Geosci. Model Dev. Discussions
Dallmeyer, A. et al.: Harmonising plant funtional type distributions for evaluating Earth System Models. Climate of the Past, 15, 335-366, 2019.
Kleinen, T. et al.: Terrestrial methane emissions from the Last Glacial Maximum to the preindustrial period. Climate of the Past, 16(2):575–595, 2020.
Meinshausen, M. et al.: The shared socio-economic pathway (SSP) greenhouse gas concentrations and their extensions to 2500. Geoscientific Model Development, 13(8):3571–3605, 2020.
DOI: 10.5194/gmd-12-1869-2019,
Heinemann, M., Segschneider, J., & Schneider, B. (2019). CO2 drawdown due to particle ballasting by glacial aeolian dust: an estimate based on the ocean carbon cycle model MPIOM/HAMOCC version 1.6.2p3. Geoscientific Model Development, 12(5), 1869–1883. http://doi.org/10.5194/gmd-12-1869-2019
DOI: 10.5194/bg-2019-378,
Joeran Maerz, Katharina D. Six, Irene Stemmler, Soeren Ahmerkamp, and Tatiana Ilyina. Microstructure and composition of marine aggregates as co-determinants for vertical particulate organic carbon transfer in the global ocean. Biogeosciences Discussion, 2019
Kageyama, Masa, et al. "The PMIP4-CMIP6 Last Glacial Maximum experiments: preliminary results and comparison with the PMIP3-CMIP5 simulations." Climate of the Past (2020).
Kageyama, Masa, et al. "A multi-model CMIP6 study of Arctic sea ice at 127ka: Sea ice data compilation and model differences." Climate of the Past Discussions (2020).
Vorrath, Maria-Elena, et al. "Sea Ice dynamics at the Western Antarctic Peninsula during the industrial era: a multi-proxy intercomparison study." Climate of the Past Discussions (2020): 1-43.
Liu, B., Maerz, J. and Ilyina, T.: Impact of ocean circulation and marine biological pump on glacial marine biogeochemistry in MPI-ESM, in preparation.
Albrecht, T, Bagge, M., Klemann, V and Winkelmann, R. (submitted). Stability of the Antarctic Ice Sheet with the solid Earth
DOI: 10.5194/cp-19-1081-2023, 2023a.,
Kleinen, T., Gromov, S., Steil, B., and Brovkin, V.: Atmospheric methane since the last glacial maximum was driven by wetland sources, Clim. Past, 19, 1081–1099
DOI: 10.26050/WDCC/PMMXMCHTD, 2023b.,
Kleinen, T., Gromov, S., Steil, B., and Brovkin, V.: PalMod2 MPI-M MPI-ESM1-2-CR-CH4 transient-deglaciation-prescribed-glac1d-methane, WCD Climate [data set],
Klemann, V., Bagge, M., Dill. R. Hagedoorn, J. M., Martinec, Z., Dobslaw, H., (in prep): Rotational deformations in the spectral–finite element code VILMA and consequences for GIA corrections applicable to GRACE and3GRACE-FO. Geophys. J. Int.
Niu, L., Knorr, G., Krebs-Kanzow, U., Gierz, P. and G. Lohmann (2023): Self-adaptive Laurentide Ice Sheet evolution towards the Last Glacial Maximum by Atlantic subtropical moisture transport, Nature Geo., in revision.
DOI: 10.1029/2023gl103078,
Jiang, Z., Brierley, C. M., Bader, J., Braconnot, P., Erb, M., Hopcroft, P. O. et al. (2023). No Consistent Simulated Trends in the Atlantic Meridional Overturning Circulation for the Past 6,000 Years. Geophysical Research Letters, 50(10),
DOI: 10.5194/gmd-16-5153-2023,
Shi, X., Cauquoin, A., Lohmann, G., Jonkers, L., Wang, Q., Yang, H. et al. (2023). Simulated stable water isotopes during the mid-Holocene and pre-industrial periods using AWI-ESM-2.1-wiso. Geoscientific Model Development, 16(17), 5153–5178
DOI: 10.5194/cp-2023-51,
Shi, X., Werner, M., Yang, H., D’Agostino, R., Liu, J., Yang, C. et al. (2023). Unraveling the complexities of Last Glacial Maximum climate: the role of individual boundary conditions and forcings. Climate of the Past
DOI: 10.5194/cp-19-1275-2023,
Cauquoin, A., Abe-Ouchi, A., Obase, T., Chan, W.-L., Paul, A., & Werner, M. (2023). Effects of Last Glacial Maximum (LGM) sea surface temperature and sea ice extent on the isotope–temperature slope at polar ice core sites. Climate of the Past, 19(6), 1275–1294
Yang H., Shi X., Wang X., ZhongY., Liu Q., Liu X., Sun Y., Cai Y., Lohmann G., Werner M., Liu J., Liu X., Liu F., Pinho T.M.L., Lu L., Zhang J., Cheng X., and Chen D. “Precession Regulates the Low-latitude Monsoon by Altering the Latitude of Perihelion” Nature (under review)
DOI: 10.5194/egusphere-2023-1041,
Gao, Q., Sime, L. C., McLaren, A., Bracegirdle, T. J., Capron, E., Rhodes, R. H., Steen-Larsen H.C., Shi X., and Werner M. (2023). “Evaporative controls on Antarctic precipitation: An ECHAM6 model study using novel water tracer diagnostics.” The Cryoshpere
988: CMIP6
DOI: 10.1029/2019MS002009,
Semmler, T., S. Danilov, P. Gierz, H. F. Goessling, J. Hegewald, C. Hinrichs, N. Koldunov, N. Khosravi, L. Mu, T. Rackow, D. V. Sein, D. Sidorenko, Q. Wang, and T. Jung (2020): Simulations for CMIP6 With the AWI Climate Model AWI‐CM‐1‐1. Journal of Advances in Modeling Earth Systems. https://doi.org/10.1029/2019MS002009
DOI: 10.1002/essoar.10507417.1,
Khosravi, N., Wang, Q., Koldunov, N. V., Hinrichs, C., Semmler, T., Danilov, S., & Jung, T. (2021). The Arctic Ocean in CMIP6 models: Biases and projected changes in temperature and salinity. Earth and Space Science Open Archive ESSOAr.
DOI: 10.1002/essoar.10507255.1,
Semmler, T., Jungclaus, J. H., Danek, C., Goessling, H., Koldunov, N. V., Rackow, T., & Sidorenko, D. (2021). Ocean model formulation influences transient climate response. Earth and Space Science Open Archive ESSOAr.
DOI: 10.5194/esd-12-253-2021,
Tebaldi, C., Debeire, K., Eyring, V., Fischer, E., Fyfe, J., Friedlingstein, P., Knutti, R., Lowe, J., O'Neill, B., Sanderson, B., van Vuuren, D., Riahi, K., Meinshausen, M., Nicholls, Z., Tokarska, K.B., Hurtt, G., Kriegler, E., Lamarque, J., Meehl, G., Moss, R., Bauer, S.E., Boucher, O., Brovkin, V., Byun, Y., Dix, M., Gualdi, S., Guo, H., John, J.G., Kharin, S., Kim, Y., Koshiro, T., Ma, L., Olivié, D., Panickal, S., Qiao, F., Rong, X., Rosenbloom, N., Schupfner, M., Séférian, R., Sellar, A., Semmler, T., Shi, X., Song, Z., Steger, C., Stouffer, R., Swart, N., Tachiiri, K., Tang, Q., Tatebe, Q., Voldoire, A., Volodin, E., Wyser, K., Xin, X., Yang, S., Yu, Y., and Ziehn, T.: Climate model projections from the Scenario Model Intercomparison Project (ScenarioMIP) of CMIP6, Earth Syst. Dynam., 12, 253-293, doi: 10.5194/esd-12-253-2021, 2021.
DOI: 10.1029/2021JC017633,
Semmler, T., Jungclaus, J., Danek, C., Goessling, H. F., Koldunov, N., Rackow, T., & Sidorenko, D. (2021). Ocean model formulation influences transient climate response. Journal of Geophysical Research: Oceans, 126(12), e2021JC017633. https://doi.org/10.1029/2021jc017633
DOI: 10.1029/2021MS002813,
Jungclaus, J. H., Lorenz, S. J., Schmidt, H., Brovkin, V., Brüggemann, N., Chegini, F., et al. (2022). The ICON Earth System Model Version 1.0. Journal of Advances in Modeling Earth Systems, 14, e2021MS002813. https://doi.org/10.1029/2021MS002813.
987: The role of the South Atlantic Anticyclone in the Tropical Atlantic climate variability
Cabos, W., Sein, D.V., Pinto, J.G. et al. Clim Dyn (2016). doi:10.1007/s00382-016-3319-9
Soares, P.M.M., Lima, D.C.A., Semedo, Semedo, A., Cardoso, R., Cabos, W. and Sein,D. The North African coastal low level wind jet: a high resolution view. Clim Dyn (2018). https://doi.org/10.1007/s00382-018-4441-7
DOI: 10.1007/s00382-020-05238-x,
Cabos W, de la Vara A, Álvarez-García F J, Sánchez E, Sieck K, Pérez-Sanz JI, LImaerva N, Sein D V (2020) Impact of ocean-atmosphere coupling on regional climate: the Iberian Peninsula case. Clim Dyn 54: 4441–4467
DOI: 10.5194/os-16-743-2020,
Parras-Berrocal, I. M., Vazquez, R., Cabos, W., Sein, D., Mañanes, R., PerezSanz, J., and Izquierdo, A. The climate change signal in the Mediterranean Sea in a regionally coupled atmosphere–ocean model, Ocean Sci., 16, 743–765
DOI: 10.1007/s00382- 020-05256-9,
de la Vara, A., Cabos, W., Sein, D.V. et al. On the impact of atmospheric vs oceanic resolutions on the representation of the sea surface temperature in the South Eastern Tropical Atlantic. Clim Dyn 54, 4733–4757
DOI: 10.1007/s00382-021-05890-x,
Vazquez, R., Parras-Berrocal, I., Cabos, W. , Sein, D., Mañanes R., Izquierdo, A. Assessment of the Canary current upwelling system in a regionally coupled climate model. Clim Dyn (2021)
DOI: 10.1007/s00382-021-05812-x,
de la Vara, A., Cabos, W., Sein, D.V. , Claas Teichmann C., Jacob D. Impact of air–sea coupling on the climate change signal over the Iberian Peninsula. Clim Dyn (2021).
DOI: 10.1002/essoar.10507698.1,
Parras Berrocal I, Vazquez R., Cabos W., Sein, D., Alvarez O., Mejías B., Izquierdo A.: Will deep water formation collapse in the North Western Mediterranean Sea by the end of the 21st century? Earth and Space Science Open Archive. doi: 10.1002/essoar.10507698.1
DOI: 10.5194/esd-2021-37,
de la Vara, A., Parras-Berrocal, I., Izquierdo, A., Sein, D., and Cabos, W.: Climate change signal in the ocean circulation of the Tyrrhenian Sea, Earth Syst. Dynam. Discuss. [preprint], https://doi.org/10.5194/esd-2021-37, in review, 2021.
986: CRESCENDO
Jones et al. (2016) C4MIP – The Coupled Climate–Carbon Cycle Model Intercomparison Project: experimental protocol for CMIP6. Geosci. Model Dev. 9: 2853-2880, doi:10.5194/gmd-9-2853-2016
Lawrence et al. (2016) The Land Use Model Intercomparison Project (LUMIP) contribution to CMIP6: rationale and experimental design. Geosci. Model Dev. 9: 2973-2998, doi:10.5194/gmd-9-2973-2016
Van den Hurk et al. (2016) The Land Surface, Snow and Soil moisture Model Intercomparison Program (LS3MIP): aims, set-up and expected outcome. Geosci. Model Dev. 9: 2809-2832, doi:10.5194/gmd-9-2809-2016.
Hagemann, S., T. Blome, A. Ekici and C. Beer, 2016 Soil-frost-enabled soil-moisture–precipitation feedback over northern high latitudes. Earth Syst. Dynam. 7: 611-625, doi:10.5194/esd-7-611-2016.
983: Decadal variability of extreme events over Europe
DOI: doi: 10.5194/esd-11-469-2020,
Ehmele, F., Kautz, L.-A., Feldmann, H., and Pinto, J. G. (2020): Long-term variance of heavy precipitation across central Europe using a large ensemble of regional climate model simulations, Earth Syst. Dynam., 11, 469–490.
DOI: doi: 10.5194/esd-11-469-2020,
Ehmele, F., Kautz, L.-A., Feldmann, H., and Pinto, J. G. (2020): Long-term variance of heavy precipitation across central Europe using a large ensemble of regional climate model simulations, Earth Syst. Dynam., 11, 469–490.
DOI: 10.5194/nhess-2022-225,
Ludwig, P., Ehmele, F., Franca, M. J., Mohr, S., Caldas-Alvarez, A., Daniell, J. E., Ehret, U., Feldmann, H., Hundhausen, M., Knippertz, P., Küpfer, K., Kunz, M., Mühr, B., Pinto, J. G., Quinting, J., Schäfer, A. M., Seidel, F., and Wisotzky, C.: A multi-disciplinary analysis of the exceptional flood event of July 2021 in central Europe. Part (2022): Historical context and relation to climate change, Nat. Hazards Earth Syst. Sci. Discuss
DOI: 10.5194/nhess-22-677-2022,
Ehmele, F., Kautz, L.-A., Feldmann, H., He, Y., Kadlec, M., Kelemen, F. D., Lentink, H. S., Ludwig, P., Manful, D., and Pinto, J. G. (2022): Adaptation and application of the large LAERTES-EU regional climate model ensemble for modeling hydrological extremes: a pilot study for the Rhine basin, Nat. Hazards Earth Syst. Sci., 22, 677–692.
982: HD(CP)2-II S4 (Land Surface Heterogeneity)
Heinze, R., A. Dipankar, C. C. Henken, C. Moseley, O. Sourdeval, S. Trömel, X. Xie, P. Adamidis, F. Ament, H. Baars, C. Barthlott, A. Behrendt, U. Blahak, S. Bley, S. Brdar, M. Brueck, S. Crewell, H. Deneke, P. Di Girolamo, R. Evaristo, J. Fischer, C. Frank, P. Friederichs, T. Göcke, K. Gorges, L. Hande, M. Hanke, A. Hansen, H.-C. Hege, C. Hoose, T. Jahns, N. Kalthoff, D. Klocke, S. Kneifel, P Knippertz, A. Kuhn, T. van Laar, A. Macke, V. Maurer, B. Mayer, C. I. Meyer, S. K. Muppa, R. A. J. Neggers, E. Orlandi, F. Pantillon, B. Pospichal, N. Röber, L. Scheck, A. Seifert, P. Seifert, F. Senf, P. Siligam, C. Simmer, S. Steinke, B. Stevens, K. Wapler, M. Weniger, V. Wulfmeyer, G. Zängl, D. Zhang, and J. Quaas (2016): Large-eddy simulations over Germany using ICON: A comprehensive evaluation. Accepted for publication in Quart. J. Roy. Meteor. Soc.
981: Sensitivity and Response of the Treeline Ecotone in Rolwaling Himal, Nepal, to Climate Warming (TREELINE)
http://www.earth-syst-dynam-discuss.net/esd-2017-31/ (under review in discussion)
Publication: Karki, R., ul Hasson, S., Gerlitz, L., Schickhoff, U., Scholten, T., and Böhner, J.: Quantifying the added value of convection-permitting climate simulations in complex terrain: a systematic evaluation of WRF over the Himalayas, Earth Syst. Dynam., 8, 507-528, https://doi.org/10.5194/esd-8-507-2017, 2017.
Karki, R., Hasson, S., Gerlitz, L., Schickhoff, U., Scholten, T., and Böhner, J.: Quantifying the added value of convection-permitting climate simulations in complex terrain: a systematic evaluation of WRF over the Himalayas, Earth Syst. Dynam., 8, 507-528, https://doi.org/10.5194/esd-8-507-2017, 2017. Karki, R., Hasson, S., Gerlitz, L., Schenk, E., Talchabhadel, R., Schickhoff, U., Scholten, T., Böhner, J. 2018a. WRF-based simulation of an extreme precipitation event over the Central Himalayas: Atmospheric mechanisms and their representation by microphysics parameterization schemes. Atmos. Res. 2018, doi:10.1016/J.ATMOSRES.2018.07.016 Karki, R., Hasson, S., Schickhoff, U., Scholten, T., Böhner, J., Gerlitz, L., 2018b. Near surface air temperature lapse rates over complex terrain: A WRF based analysis of controlling factors and processes for the Central Himalayas. – Submitted to Climate Dynamics (under review).
DOI: 10.5194/esd-8-507-2017,
Karki, R., Hasson, S., Gerlitz, L., Schickhoff, U., Scholten, T., and Böhner, J.: Quantifying the added value of convection-permitting climate simulations in complex terrain: a systematic evaluation of WRF over the Himalayas, Earth Syst. Dynam., 8, 507-528, https://doi.org/10.5194/esd-8-507-2017, 2017.
DOI: doi:10.1016/J.ATMOSRES.2018.07.016,
Karki, R., Hasson, S., Gerlitz, L., Schenk, E., Talchabhadel, R., Schickhoff, U., Scholten, T., Böhner, J. 2018a. WRF-based simulation of an extreme precipitation event over the Central Himalayas: Atmospheric mechanisms and their representation by microphysics parameterization schemes. Atmos. Res. 2018, doi:10.1016/J.ATMOSRES.2018.07.016
DOI: 10.1007/ s00382-019-05003-9 Filename,
Karki, R., Hasson, S., Schickhoff, U., Scholten, T., Böhner, J., Gerlitz, L., 2018b. Near surface air temperature lapse rates over complex terrain: A WRF based analysis of controlling factors and processes for the Central Himalayas. Climate Dynamics, 2019. https://doi.org/10.1007/ s00382-019-05003-9
976: EU H2020 'CRESCENDO' Marine Biogeochemical Processes
Paulsen, H., T. Ilyina., K. D. Six., and I. Stemmler (2016), Incorporating a prognostic representation of marine nitrogen fixers into the global ocean biogeochemical model HAMOCC, J. Adv. Model. Earth Syst., under revision.
DOI: 10.5194/bg-2019-378,
Joeran Maerz, Katharina D. Six, Irene Stemmler, Soeren Ahmerkamp, and Tatiana Ilyina. Microstructure and composition of marine aggregates as co-determinants for vertical particulate organic carbon transfer in the global ocean. Biogeosciences Discussion, 2019
DOI: 10.5194/bg-17-1765-2020,
Joeran Maerz, Katharina D. Six, Irene Stemmler, Soeren Ahmerkamp, and Tatiana Ilyina (2020): Microstructure and composition of marine aggregates as co-determinants for vertical particulate organic carbon transfer in the global ocean. Biogeosciences 17, 1765–1803
975: OCTANT
DOI: 10.3390/w12051274,
Deleersnijder E, Draoui I, Lambrechts J, Legat V, Mouchet A. 2020. Consistent Boundary Conditions for Age Calculations. Water. 12: 1274.
974: HD(CP)2-II S5 (Cloud and Convective Organization)
Heinze, R., A. Dipankar, C. C. Henken, C. Moseley, O. Sourdeval, S. Trömel, X. Xie, P. Adamidis, F. Ament, H. Baars, C. Barthlott, A. Behrendt, U. Blahak, S. Bley, S. Brdar, M. Brueck, S. Crewell, H. Deneke, P. Di Girolamo, R. Evaristo, J. Fischer, C. Frank, P. Friederichs, T. Göcke, K. Gorges, L. Hande, M. Hanke, A. Hansen, H.-C. Hege, C. Hoose, T. Jahns, N. Kalthoff, D. Klocke, S. Kneifel, P Knippertz, A. Kuhn, T. van Laar, A. Macke, V. Maurer, B. Mayer, C. I. Meyer, S. K. Muppa, R. A. J. Neggers, E. Orlandi, F. Pantillon, B. Pospichal, N. Röber, L. Scheck, A. Seifert, P. Seifert, F. Senf, P. Siligam, C. Simmer, S. Steinke, B. Stevens, K. Wapler, M. Weniger, V. Wulfmeyer, G. Zängl, D. Zhang, and J. Quaas (2016): Large-eddy simulations over Germany using ICON: A comprehensive evaluation. Quart. J. Roy. Meteor. Soc. (accepted)
970: TARANTO
DOI: 10.1007/s00382-021-05714-y,
Liu, F., Mikolajewicz,U. and Six, K.D., Drivers of the decadal variability of the North Ionian Gyre upper layer circulation during 1910-2010: a regional modelling study, Climate Dynamics, pp.1-13,2021
966: DynVar
Gerber and Manzini (2016) The Dynamics and Variability Model Intercomparison Project (DynVarMIP) for CMIP6: assessing the stratosphere–troposphere system, Geosci. Model Dev., 9, 3413–3425, doi:10.5194/gmd-9-3413-2016, http://www.geosci-model-dev.net/9/3413/2016/
DOI: DOI 10.5194/gmd-9-3413-2016,
Gerber, E. P. and E. Manzini (2016) The Dynamics and Variability Model Intercomparison Project (DynVarMIP) for CMIP6: assessing the stratosphere–troposphere system. Geosci. Model Dev. 9, 3413-342, DOI 10.5194/gmd-9-3413-2016
DOI: DOI 10.1029/2019JD03234,
Ayarzagüena, B., A. J. Charlton-Perez, A. H. Butler, P. Hitchcock, I. R. Simpson, L. M. Polvani, N. Butchart, E. P. Gerber, L. Gray, B. Hassler, P. Lin, F. Lott, E. Manzini, R. Mizuta, C. Orbe, S. Osprey, D. Saint-Martin, M. Sigmond, M. Taguchi, E. M. Volodin, S. Watanabe (2020) Uncertainty in the response of sudden stratospheric warmings and stratosphere-troposphere coupling to quadrupled CO2 concentrations in CMIP6 models. Journal of Geophysical Research: Atmospheres. https://doi.org/ 10.1029/2019JD032345
965: Regional Palaeoclimate Modelling and Palaeoenvironmental reconstructions
Ludwig, P., J. G. Pinto, C. C. Raible, and Y. Shao (2017), Impacts of surface boundary conditions on regional climate model simulations of European climate during the Last Glacial Maximum, Geophys. Res. Lett., 44, 5086–5095, doi:10.1002/2017GL073622.
DOI: 10.5194/acp-2019-693,
Schaffernicht, E. J., Ludwig, P., and Shao, Y.: Linkage between Dust Cycle and Loess of the Last Glacial Maximum in Europe, Atmos. Chem. Phys. Discuss
DOI: doi:10.22498/pages.27.1.41,
Gómez-Navarro, J. J.; Ludwig, P.; Zeiher, N.; Talento, S.; Parveen, U.; Wagner, S. :A joint effort to bring together global, regional modeling and proxy communities. 2019. Past global changes magazine, 27 (1), 41
DOI: doi:10.1175/BAMS-D-18-0169.1,
Weitzel, N.; Wagner, S.; Sjolte, J.; Klockmann, M.; Bothe, O.; Andres, H.; Tarasov, L.; Rehfeld, K.; Zorita, E.; Widmann, M.; Sommer, P.; Schädler, G.; Ludwig, P.; Kapp, F.; Jonkers, L.; García-Pintado, J.; Fuhrmann, F.; Dolman, A.; Dallmeyer, A.; Brücher, T. 2019. Diving into the past – A paleo data-model comparison workshop on the Late Glacial and Holocene. Bulletin of the American Meteorological Society, 100 (1), ES1-ES4.
DOI: doi:10.5194/cp-16-611-2020,
Pinto, J. G.; Ludwig, P. (2020): Extratropical cyclones over the North Atlantic and Western Europe during the Last Glacial Maximum and implications for proxy interpretation. Climate of the past, 16, 611–626.
DOI: doi:10.1002/wcc.680,
Raible, C. C.; Pinto, J. G.; Ludwig, P.; Messmer, M. (2020): A review of past changes in extratropical cyclones in the northern hemisphere and what can be learned for the future. Wiley interdisciplinary reviews / Climate change
DOI: 10.1016/j.quaint.2020.09.048,
Ludwig, P., Gavrilov, M.B., Markovic, S.B., Ujvari, G., Lehmkuhl, F. (2020) Simulated regional dust cycle in the Carpathian Basin and the Adriatic Sea region during the Last Glacial Maximum, Quaternary International
DOI: 10.1002/jqs.3318,
Ludwig, P., Gavrilov, M.B., Radaković, M.G. and Marković, S.B. (2021), Malaco temperature reconstructions and numerical simulation of environmental conditions in the southeastern Carpathian Basin during the Last Glacial Maximum. J. Quaternary Sci.
DOI: 10.1002/jqs.3434,
Bertran, P., Stadelmaier, K.H. and Ludwig, P. (2022), Last Glacial Maximum active layer thickness in Western Europe, and the issue of ‘tundra gleys’ in loess sequences. J. Quaternary Sci, 37: 1222-1228
DOI: 10.5194/cp-17-2559-2021,
Stadelmaier, K. H., Ludwig, P., Bertran, P., Antoine, P., Shi, X., Lohmann, G., and Pinto, J. G.: A new perspective on permafrost boundaries in France during the Last Glacial Maximum, Clim. Past, 17, 2559–2576
DOI: 10.1029/2022JD036597,
Újvári, G., Klötzli, U., Stevens, T., Svensson, A., Ludwig, P., Vennemann, T., et al. (2022). Greenland ice core record of last glacial dust sources and atmospheric circulation. Journal of Geophysical Research: Atmospheres, 127, e2022JD036597
DOI: 10.48738/2022.iss1.100,
Maier, A., Ludwig, P., Zimmermann, A., and Schmidt, I. 2022. The sunny side of the Ice Age: solar insolation as a potential long-term pacemaker for de-mographic developments in Europe between 43 and 15 ka ago. PaleoAnthropology 2022:1, 35–51.
DOI: 10.1016/j.scib.2023.04.025,
Klein, K., Weniger, G. C., Ludwig, P., Stepanek, C., Zhang, X., Wegener, C., & Shao, Y. (2023). Assessing climatic impact on transition from Neanderthal to anatomically modern human population on Iberian Peninsula: a macroscopic perspective. Science Bulletin.
DOI: 10.1088/1748-9326/ac46ea,
Ludwig, P., & Hochman, A. (2022). Last glacial maximum hydro-climate and cyclone characteristics in the Levant: a regional modelling perspective. Environmental Research Letters, 17(1), 014053.
DOI: 10.1007/s10816-023-09628-3,
Maier, A., Tharandt, L., Linsel, F., Krakov, V., & Ludwig, P. (2023). Where the Grass is Greener—Large-Scale Phenological Patterns and Their Explanatory Potential for the Distribution of Paleolithic Hunter-Gatherers in Europe. Journal of Archaeological Method and Theory, 1-28.
964: Detectability of non-tidal ocean signals in Earth’s magnetic field (OceanMag)
Irrgang, C., Saynisch, J., Thomas, M. (2016): Ensemble simulations of the magnetic field induced by global ocean circulation: Estimating the uncertainty. - Journal of Geophysical Research, 121, 3, p. 1866-1880.
Irrgang, C., Saynisch, J., Thomas, M. (2016): Impact of variable seawater conductivity on motional induction simulated with an ocean general circulation model. - Ocean Science, 12, 1, p. 129-136.
Saynisch, J., J. Petereit, C. Irrgang, A. Kuvshinov, and M. Thomas (2016), Impact of climate variability on the tidal oceanic magnetic signal—A model-based sensitivity study, J. Geophys. Res. Oceans, 121, 5931–5941, doi:10.1002/2016JC012027.
Saynisch, J., Petereit, J., Irrgang, C., Thomas, M. (2017): Impact of oceanic warming on electromagnetic oceanic tidal signals - a CMIP5 climate model based sensitivity study. - Geophysical Research Letters, 44, 10, p. 4994-5000. Irrgang, C., Saynisch, J., Thomas, M. (2017): Utilizing oceanic electromagnetic induction to constrain an ocean general circulation model: A data assimilation twin experiment. - Journal of Advances in Modeling Earth Systems, 9, 3, p. 1703-1720.
e.g., Irrgang, C., Saynisch-Wagner, J., Thomas, M. (2018): Depth of origin of ocean-circulation-induced magnetic signals. Annales Geophysicae, 36, 167-180. doi: 10.5194/angeo-36-167-2018 Petereit, J., Saynisch, J., Irrgang, C., Weber, T., Thomas, M. (Discussion started 28 Feb 2018): Electromagnetic characteristics of ENSO. Ocean Science. doi: 10.5194/os-2018-4 Saynisch, J., Irrgang, C., Thomas, M. (2018): On the Use of Satellite Altimetry to Detect Ocean Circulation´s Magnetic Signals. Journal of Geophysical Research-Ocean. doi: 10.1002/2017JC013742 Saynisch, J., Irrgang, C., Thomas, M. (2018): Estimating ocean tide model uncertainties for electromagnetic inversion studies. Annales Geophysicae, 36, pp. 1009-1014. doi: 10.5194/angeo-36-1009-2018
DOI: 10.1038/s41598-019-44397-8,
Irrgang, C., Saynisch, J., Thomas, M. (2019): Estimating global ocean heat content from tidal magnetic satellite observations. - Scientific Reports, 9, 7893.
DOI: 10.1186/s40623-019-1033-7,
Šachl, L., Martinec, Z., Velímský, J., Irrgang, C., Petereit, J., Saynisch, J., Einšpigel, D., Schnepf, N. R. (2019): Modelling of electromagnetic signatures of global ocean circulation: physical approximations and numerical issues. - Earth Planets and Space, 71, 58.
DOI: 10.1029/2019JC015960,
Saynisch-Wagner, J., Petereit, J., Irrgang, C., Thomas, M. (2020): Phase changes of electromagnetic oceanic tidal signals. - Journal of Geophysical Research: Oceans, 125, 4, e2019JC015960. https://doi.org/10.1029/2019JC015960
DOI: 10.1038/s41598-019-44397-8,
Irrgang, C., Saynisch, J., Thomas, M. (2019): Estimating global ocean heat content from tidal magnetic satellite observations. - Scientific Reports, 9, 7893.
DOI: 10.1029/2018JC014768,
Petereit, J., Saynisch, J., Irrgang, C., Thomas, M. (2019): Analysis of ocean tide induced magnetic fields derived from oceanic in‐situ observations — climate trends and the remarkable sensitivity of shelf regions. - Journal of Geophysical Research, 124, 11, 8257-8270. https://doi.org/10.1029/2018JC014768
DOI: 10.1029/2020GL089258,
Irrgang, C., Dill, R., Boergens, E., Saynisch-Wagner, J., Thomas, M. (2020): Self-validating deep learning for recovering terrestrial water storage from gravity and altimetry measurements. - Geophysical Research Letters, 47, 17, e2020GL089258. https://doi.org/10.1029/2020GL089258
DOI: 10.1029/2019MS001876,
Irrgang, C., Saynisch-Wagner, J., Thomas, M. (2020): Machine Learning‐Based Prediction of Spatiotemporal Uncertainties in Global Wind Velocity Reanalyses. - Journal of Advances in Modeling Earth Systems, 12, 5, e2019MS001876. https://doi.org/10.1029/2019MS001876
DOI: 10.1186/s40623-022-01610-9,
Petereit, J., Saynisch-Wagner, J., Morschhauser, A. et al. On the characterization of tidal ocean-dynamo signals in coastal magnetic observatories. Earth Planets Space 74, 67 (2022). https://doi.org/10.1186/s40623-022-01610-9
DOI: 10.5194/npg-29-53-2022,
Schachtschneider, R., Saynisch-Wagner, J., Klemann, V., Bagge, M., Thomas, M. (2022): An approach for constraining mantle viscosities through assimilation of palaeo sea level data into a glacial isostatic adjustment model. - Nonlinear Processes in Geophysics, 29, 1, 53-75. https://doi.org/10.5194/npg-29-53-2022
DOI: 10.1186/s40623-021-01557-3,
Saynisch-Wagner, J., Baerenzung, J., Hornschild, A. et al. Tide-induced magnetic signals and their errors derived from CHAMP and Swarm satellite magnetometer observations. Earth Planets Space 73, 234 (2021). https://doi.org/10.1186/s40623-021-01557-3
Baerenzung, J,. Saynisch-Wagner, J., Holschneider, M.: Kalmag: a high spatio temporal model of the geomagnetic field (2022). In publication, Earth Planets Space
963: Volcanic Forcings Model Intercomparison Project (VolMIP)
Zanchettin, D., Khodri, M., Timmreck, C., Toohey, M., Schmidt, A., Gerber, E. P., Hegerl, G., Robock, A., Pausata, F. S. R., Ball, W. T., Bauer, S. E., Bekki, S., Dhomse, S. S., LeGrande, A. N., Mann, G. W., Marshall, L., Mills, M., Marchand, M., Niemeier, U., Poulain, V., Rozanov, E., Rubino, A., Stenke, A., Tsigaridis, K., and Tummon, F.: The Model Intercomparison Project on the climatic response to Volcanic forcing (VolMIP): experimental design and forcing input data for CMIP6, Geosci. Model Dev., 9, 2701-2719, doi:10.5194/gmd-9-2701-2016, 2016.
Marshall, L., Schmidt, A., Toohey, M., Carslaw, K. S., Mann, G. W., Sigl, M., Khodri, M., Timmreck, C., Zanchettin, D., Ball, W., Bekki, S., Brooke, J. S. A., Dhomse, S., Johnson, C., Lamarque, J.-F., LeGrande, A., Mills, M. J., Niemeier, U., Poulain, V., Robock, A., Rozanov, E., Stenke, A., Sukhodolov, T., Tilmes, S., Tsigaridis, K., and Tummon, F.: Multi-model comparison of the volcanic sulfate deposition from the 1815 eruption of Mt. Tambora, Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2017-729, in review, 2017.
Marshall, L., Schmidt, A., Toohey, M., Carslaw, K. S., Mann, G. W., Sigl, M., Khodri, M., Timmreck, C., Zanchettin, D., Ball, W. T., Bekki, S., Brooke, J. S. A., Dhomse, S., Johnson, C., Lamarque, J.-F., LeGrande, A. N., Mills, M. J., Niemeier, U., Pope, J. O., Poulain, V., Robock, A., Rozanov, E., Stenke, A., Sukhodolov, T., Tilmes, S., Tsigaridis, K., and Tummon, F.: Multi-model comparison of the volcanic sulfate deposition from the 1815 eruption of Mt. Tambora, Atmos. Chem. Phys., 18, 2307-2328, https://doi.org/10.5194/acp-18-2307-2018, 2018.
DOI: doi:10.1029/2018GL081018,
Zanchettin, D., C. Timmreck, M. Toohey, J. Jungclaus, M. Bittner, S. Lorenz, and A. Rubino, Clarifying the relative role of forcing uncertainties and initial-condition unknowns in spreading the climate response to volcanic eruptions. Geophysical Research Letters, 2019
DOI: 10.1088/1748-9326/ab3a10,
Schurer, A.P, G. C. Hegerl, J. Luterbacher, S. Broennimann, T. Cowan, S. Tett, D. Zanchettin, and C. Timmreck, Disentangling the causes of the year without a Summer, Environ. Res. Lett Environmental Research Letters, Volume 14, Number 9, 2019.
DOI: doi:10.1029/2019JD031739,
Hermanson, L., Bilbao, R., Dunstone, N., Ménégoz, M., Ortega, P., Pohlmann, H., Robson, J., Smith, D., Strand, G., Timmreck, C., Yeager, S. & Danabasoglu, G. (2020). Robust multiyear climate impacts of volcanic eruptions in decadal prediction systems. Journal of Geophysical Research: Atmospheres, 125: e2019JD031739. doi:10.1029/2019JD031739
DOI: 10.5194/gmd-15-2265-2022,
Zanchettin, D., C. Timmreck, M. Khodri, A. Schmidt, M. Toohey, M. Abe, S. Bekki, J. Cole, S.-W. Fang, W. Feng, G. Hegerl, B. Johnson, N. Lebas, A.N. LeGrande, G. W.,Mann, L. Marshall, L. Rieger, A. Robock, S. Rubinetti, K. Tsigaridis and H. Weierbach (2022), Effects of forcing differences and initial conditions on inter-model agreement in the VolMIP volc-pinatubo-full experiment, Geosci. Model Dev., 15, 2265–2292, https://doi.org/10.5194/gmd-15-2265-2022
DOI: 10.1007/s00382-023-06679-w .,
Zanchettin, D., S.-W. Fang, M. Khodri, N.-E. Omrani, S. Rubinetti, A. Rubino, C. Timmreck and J. H. Jungclaus (2023), Thermohaline patterns of intrinsic Atlantic Multidecadal Variability in MPI-ESM-LR. Clim Dyn 61, 2371–2393 (2023). https://doi.org/10.1007/s00382-023-06679-w .
DOI: 10.5194/cp-18-1601-2022,
van Dijk, E., J. Jungclaus, S. Lorenz, C. Timmreck and K. Krüger (2022) Was there a volcanic-induced long-lasting cooling over the Northern Hemisphere in the mid-6th–7th century?, Clim. Past, 18, 1601–1623, https://doi.org/10.5194/cp-18-1601-2022, 2022.
DOI: 10.5194/cp-19-357-2023,
van Dijk, E., I. Mørkestøl Gundersen, A.de Bode, H. Høeg, K. Loftsgarden, F. Iversen, C. Timmreck, J. Jungclaus and K. Krüger (2023). Climatic and societal impacts in Scandinavia following the 536 and 540 CE volcanic double event, Clim. Past, 19, 357–398, https://doi.org/10.5194/cp-19-357-2023, 2023.
DOI: 10.1029/2022GL101478,
Villamayor, J., Khodri, M., Fang, S.-W., Jungclaus, J. H., Timmreck, C., & Zanchettin, D. (2023). Sahel droughts induced by large volcanic eruptions over the last millennium in PMIP4/past1000 simulations. Geophysical Research Letters, 50, e2022GL101478. https://doi.org/10.1029/2022GL101478
962: From the Last Interglacial to the Anthropocene: Modeling a Complete Glacial Cycle (Palmod)
Acevedo, W., Fallah, B., Reich, S., and Cubasch, U.: Assimilation of Pseudo-Tree-Ring-Width observations into an Atmospheric General Circulation Model, Clim. Past Discuss., doi:10.5194/cp- 2016-92, in review, 2016, http://www.clim-past-discuss.net/cp-2016-92/cp-2016-92.pdf.
961: BINGO
No publications.
Kpogo-Nuwoklo, K. A., Fischer, M., Rust, H. W., Ulbrich, U., Meredith, E., & Vagenas, C. (2017, April). Bias adjustment for hydrological modelling-Comparing methods and reference data sets. In EGU General Assembly Conference Abstracts (Vol. 19, p. 9357).
Lorza, P., Nottebohm, M., & Scheibel, M. (2017, April). Comparison of model performance and simulated water balance using NASIM and SWAT for the Wupper River Basin, Germany. In EGU General Assembly Conference Abstracts (Vol. 19, p. 8761).
Ulbrich, U., Rust, H., Meredith, E., Kpogo-Nuwoklo, K., & Vagenas, C. (2017, April). High-resolution downscaling for hydrological management. In EGU General Assembly Conference Abstracts (Vol. 19, p. 10174).
Scheibel, M., & Lorza, P. (2017, April). Classification and plausibility assessment of historical and future weather and climate anomalies (application for the Wupper River Basin, Germany). In EGU General Assembly Conference Abstracts (Vol. 19, p. 15743).
R. Noyelle, U. Ulbrich, N. Becker, and E. P. Meredith. Assessing the impact of SSTs on a simulated medicane using ensemble simulations. Natural Hazards and Earth System Sciences Discussions, 2018:1-23, 2018. doi: 10.5194/nhess-2018-230. URL: https://www.nat-hazards-earth-syst-sci-discuss.net/nhess-2018-230/
A. B. Fortunato, E. P. Meredith, M. Rodrigues, P. Freire, and H. Feldmann. Near-future changes in storm surges along the atlantic iberian coast. Natural Hazards, May 2018. ISSN 1573-0840. doi: 10.1007/s11069-018-3375-z. URL https://doi.org/10.1007/s11069-018-3375-z
E. P. Meredith, H. W. Rust, and U. Ulbrich. A classification algorithm for selective dynamical downscaling of precipitation extremes. Hydrology and Earth System Sciences, 22(8):4183-4200, 2018. doi: 10.5194/hess-22-4183-2018. https://www.hydrol-earth-syst-sci.net/22/4183/2018/
DOI: 10.1029/2019GL082385,
Meredith, EP, Ulbrich, U & Rust, HW (2019). The Diurnal Nature of Future Extreme Precipitation Intensification. Geophysical Research Letters, 46(13):7680–7689, https://doi.org/10.1029/2019GL082385
DOI: 10.5194/nhess-19-941-2019,
Noyelle, R, Ulbrich, U, Becker, N & Meredith, EP (2019). Assessing the impact of sea surface temperatures on a simulated medicane using ensemble simulations, Natural Hazards and Earth System Sciences, 19, 941–955, https://doi.org/10.5194/nhess-19-941-2019
Meredith, EP, Ulbrich, U & Rust, HW (2019). Subhourly rainfall in a convection-permitting model. Environmental Research Letters (in review).
DOI: DOI: 10.1088/1748-9326/ab6787,
Meredith, E. P., Ulbrich, U. & Rust, H. W, Subhourly rainfall in a convection-permitting model. Environ. Res. Lett. 15, 034031, 2020.
Meredith, E. P., Ulbrich, U., Rust, H. W. and Truhetz, H. Present and future diurnal hourly precipitation in 0.11° EURO-CORDEX models and at convection-permitting resolution, (submitted to Nature Scientific Reports)
DOI: 10.1016/j.jhydrol.2018.05.048,
Eliades, M, Bruggeman, A, Lubczynski, MW, Christou, A, Camera, C and Djuma, H (2018). The water balance components of Mediterranean pine trees on a steep mountain slope during two hydrologically contrasting years. Journal of hydrology, 562, 712-724.
DOI: 10.3390/su11051231,
Kristvik, E, Johannessen, BG and Muthanna, TM (2019). Temporal Downscaling of IDF Curves Applied to Future Performance of Local Stormwater Measures, Sustainability 2019, 11(5), 1231.
DOI: 10.5194/hess-22-4183-2018,
Meredith, EP, Rust, HW and Ulbrich, U (2018). A classification algorithm for selective dynamical downscaling of precipitation extremes, Hydrol. Earth Syst. Sci., 22, 4183–4200
DOI: 10.1029/2019GL082385,
Meredith, EP, Ulbrich, U & Rust, HW (2019). The Diurnal Nature of Future Extreme Precipitation Intensification. Geophysical Research Letters, 46(13):7680–7689, https://doi.org/10.1029/2019GL082385
DOI: 10.1088/1748-9326/ab6787,
Meredith, EP, Ulbrich, U and Rust, HW (2020). Subhourly rainfall in a convection-permitting model, Environmental Research Letters, Volume 15, Number 3.
DOI: 10.1088/2515-7620/abf15e,
Meredith, EP, Ulbrich, U, Rust, HW and Truhetz, H (2021). Present and future diurnal hourly precipitation in 0.11° EURO-CORDEX models and at convection-permitting resolution. Environ. Res. Commun. 3 055002
DOI: 10.1007/s11069-018-3375-z,
Fortunato, AB, Meredith, EP, Rodrigues, M et al. (2019). Near-future changes in storm surges along the Atlantic Iberian coast. Nat Hazards 98, 1003–1020.
DOI: 10.1016/j.atmosres.2017.03.002,
Zittis G., Bruggeman A., Camera C., Hadjinicolaou P., Lelieveld J. (2017). The added value of convection permitting simulations of extreme precipitation events over the eastern Mediterranean, Atmospheric Research 191:20-33.
DOI: 10.1007/978-3-319-35095-0_69,
Zittis, G., Hadjinicolaou, P., Bruggeman, A., Camera, C., Lelieveld, J. (2017). High-Resolution Simulations of Recent Past Extreme Precipitation Events Over Cyprus. In: Karacostas, T., Bais, A., Nastos, P. (eds) Perspectives on Atmospheric Sciences. Springer Atmospheric Sciences.
DOI: 10.3390/geosciences9090400,
Rodrigues, M, Fortunato, AB and Freire, P (2019). Saltwater Intrusion in the Upper Tagus Estuary during Droughts, Geosciences, 9(9), 400.
Witte, JPM, Voortman, B and Nijhuis, K (2019). Met het historische landschap verdween er water van de Veluwe. Stromingen, 33(1), 91-107.
DOI: 10.3390/w10081039,
Eliades, M, Bruggeman, A, Djuma, H and Lubczynski, MW (2018). Tree water dynamics in a semi-arid, Pinus brutia forest, Water 10(8):1039.
DOI: 10.3390/atmos9120470,
Zittis, G, Bruggeman, A, Hadjinicolaou, P, Camera, C and Lelieveld, J. Effects of Meteorology Nudging in Regional Hydroclimatic Simulations of the Eastern Mediterranean. Atmosphere 2018, 9, 470.
DOI: 10.3934/environsci.2017.6.763,
Rodrigues, M and Fortunato, AB (2017). Assessment of a three-dimensional baroclinic circulation model of the Tagus estuary (Portugal), AIMS Environmental Science, 4(6): 763-787.
DOI: 10.1016/j.ijdrr.2017.07.008,
Rilo, A., Tavares, A., Freire, P., Santos, P.P. and Zêzere, J.L. (2017). The contribution of historical information to flood risk management in the Tagus estuary. International journal of disaster risk reduction, 25, pp.22-35.
DOI: 10.2166/wcc.2018.096,
Kristvik, E., Muthanna, T.M. and Alfredsen, K. (2019). Assessment of future water availability under climate change, considering scenarios for population growth and ageing infrastructure. Journal of Water and Climate Change, 10(1), pp.1-12.
DOI: 10.2166/wst.2018.043,
Kristvik, E., Kleiven, G.H., Lohne, J. and Muthanna, T.M. (2018). Assessing the robustness of raingardens under climate change using SDSM and temporal downscaling. Water Science and Technology, 77(6), pp.1640-1650.
DOI: 10.1111/jfr3.12475,
Martínez-Gomariz, E, Gómez, M, Russo, B, Sánchez, P, Montes, J-A (2019). Methodology for the damage assessment of vehicles exposed to flooding in urban areas. J Flood Risk Management, 12:e12475.
DOI: 10.1016/j.csr.2017.06.023,
Fortunato, A.B., Freire, P., Bertin, X., Rodrigues, M., Ferreira, J. and Liberato, M.L. (2017). A numerical study of the February 15, 1941 storm in the Tagus estuary. Continental Shelf Research, 144, pp.50-64.
DOI: 10.5772/intechopen.74401,
Bergsma, E., Alphen, H.V., Bruggeman, A., Giannakis, E., Koti, J., Kristvik, E., Loza, P., Martinez, M., Muthanna, T.M., Rocha, F. and Viseu, T. (2018). Book Chapter, Strengths and Weaknesses for Climate Change: Adaptation in Water Governance: A Comparison Across Six European Regions.
960: StratoClim Stratospheric and upper tropospheric processes for better climate predictions
Zanchettin, D., M. Khodri, C. Timmreck M. Toohey, A. Schmidt, E. P. Gerber, G. Hegerl, A. Robock, F. S. Pausata, W. T. Ball, S. E. Bauer S. Bekki, S. S. Dhomse, A. N. LeGrande, G. W. Mann, L. Marshall, M. Mills, M. Marchand, U. Niemeier, V. Poulain, A. Rubino, A. Stenke, K. Tsigaridis and F. Tummon (2016), The Model Intercomparison Project on the climatic response to Volcanic forcing (VolMIP): experimental design and forcing input data for CMIP6, Geosci. Model Dev., 9, 2701-2719, doi:10.5194/gmd-9-2701-2016.
Kremser, S. L. W. Thomason, M. von Hobe, M. Hermann T. Deshler, C. Timmreck, M. Toohey, A. Stenke, F. Prata, J. Schwarz, R. Weigel, S. Fueglistaler, J.-P. Vernier, B. Luo, H. Schlager, J. Barnes, J.-C. Antuna-Marrero, D. Fairlie, M. Palm, E. Mahieu, J. Notholt, M. Rex, R. Neely, C. Bingen, A. Bourassa, J. Plane, D. Klocke, S. Carn, C. Lieven, A. James, S. Borrmann, L. Rieger, T. Trickl, C. Wilson, and B. Meland (2016) Stratospheric aerosol - Observations, processes, and impact on climate. Rev. Geophys., 54, doi:10.1002/2015RG000511.
Timmreck, C., Mann, G. W., Aquila, V., Hommel, R., Lee, L. A., Schmidt, A., Brühl, C., Carn, S., Chin, M., Dhomse, S. S., Diehl, T., English, J. M., Mills, M. J., Neely, R., Sheng, J., Toohey, M., and Weisenstein, D.: The Interactive Stratospheric Aerosol Model Intercomparison Project (ISA-MIP): motivation and experimental design, Geosci. Model Dev., 11, 2581-2608, https://doi.org/10.5194/gmd-11-2581-2018, 2018.
Marshall, L., Schmidt, A., Toohey, M., Carslaw, K. S., Mann, G. W., Sigl, M., Khodri, M., Timmreck, C., Zanchettin, D., Ball, W. T., Bekki, S., Brooke, J. S. A., Dhomse, S., Johnson, C., Lamarque, J.-F., LeGrande, A. N., Mills, M. J., Niemeier, U., Pope, J. O., Poulain, V., Robock, A., Rozanov, E., Stenke, A., Sukhodolov, T., Tilmes, S., Tsigaridis, K., and Tummon, F.: Multi-model comparison of the volcanic sulfate deposition from the 1815 eruption of Mt. Tambora, Atmos. Chem. Phys., 18, 2307-2328, https://doi.org/10.5194/acp-18-2307-2018, 2018.
DOI: 10.1088/1748-9326/ab3a10,
Schurer, A.P, G. C. Hegerl, J. Luterbacher, S. Broennimann, T. Cowan, S. Tett, D. Zanchettin, and C. Timmreck, Disentangling the causes of the year without a Summer, Environ. Res. Lett Environmental Research Letters, Volume 14, Number 9, 2019.
DOI: doi:10.1038/s41561-018-0286-2,
Toohey, M., K, Krüger, H. Schmidt, C. Timmreck, M. Sigl, M. Stoffel, and R. Wilson, Disproportionately strong climate forcing from extratropical explosive volcanic eruptions. Nature Geoscience, 12, 100-107, 2019.
DOI: doi:10.1029/2018GL081018,
Zanchettin, D., C. Timmreck, M. Toohey, J. Jungclaus, M. Bittner, S. Lorenz, and A. Rubino, Clarifying the relative role of forcing uncertainties and initial-condition unknowns in spreading the climate response to volcanic eruptions. Geophysical Research Letters, 2019
DOI: doi:10.5194/acp-19-10379-2019,
Niemeier, U., C. Timmreck, and K. Krüger, Revisiting the Agung 1963 volcanic forcing: Impact of one or two eruptions. Atmospheric Chemistry and Physics, 19, 10379-10390, 2019.
959: eVolv2k: Ice core-based volcanic forcing of climate variability for the past 2000 years
Toohey, M., Stevens, B., Schmidt, H. and Timmreck, C.: Easy Volcanic Aerosol (EVA v1.0): An idealized forcing generator for climate simulations, Geosci. Model Dev. Discuss., 1–40, doi:doi:10.5194/gmd-2016-83, 2016.
Zanchettin, D., et al.: The Model Intercomparison Project on the climatic response to Volcanic forcing (VolMIP): experimental design and forcing input data for CMIP6, Geosci. Model Dev., 9(8), 2701–2719, doi:10.5194/GMD-9-2701-2016, 2016.
Toohey, Matthew; Sigl, Michael (2017). Reconstructed volcanic stratospheric sulfur injections and aerosol optical depth, 500 BCE to 1900 CE, version 2. World Data Center for Climate (WDCC) at DKRZ. https://doi.org/10.1594/WDCC/eVolv2k_v2
Toohey, M. and Sigl, M.: Volcanic stratospheric sulphur injections and aerosol optical depth from 500 BCE to 1900 CE, Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2017-31, in review, 2017.
Marshall, L., Schmidt, A., Toohey, M., Carslaw, K. S., Mann, G. W., Sigl, M., Khodri, M., Timmreck, C., Zanchettin, D., Ball, W., Bekki, S., Brooke, J. S. A., Dhomse, S., Johnson, C., Lamarque, J.-F., LeGrande, A., Mills, M. J., Niemeier, U., Poulain, V., Robock, A., Rozanov, E., Stenke, A., Sukhodolov, T., Tilmes, S., Tsigaridis, K., and Tummon, F.: Multi-model comparison of the volcanic sulfate deposition from the 1815 eruption of Mt. Tambora, Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2017-729, in review, 2017.
Jungclaus, J. H., Bard, E., Baroni, M., Braconnot, P., Cao, J., Chini, L. P., Egorova, T., Evans, M., González-Rouco, J. F., Goosse, H., Hurtt, G. C., Joos, F., Kaplan, J. O., Khodri, M., Klein Goldewijk, K., Krivova, N., LeGrande, A. N., Lorenz, S. J., Luterbacher, J., Man, W., Meinshausen, M., Moberg, A., Nehrbass-Ahles, C., Otto-Bliesner, B. I., Phipps, S. J., Pongratz, J., Rozanov, E., Schmidt, G. A., Schmidt, H., Schmutz, W., Schurer, A., Shapiro, A. I., Sigl, M., Smerdon, J. E., Solanki, S. K., Timmreck, C., Toohey, M., Usoskin, I. G., Wagner, S., Wu, C.-Y., Yeo, K. L., Zanchettin, D., Zhang, Q., and Zorita, E.: The PMIP4 contribution to CMIP6 – Part 3: the Last Millennium, Scientific Objective and Experimental Design for the PMIP4 past1000 simulations, Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2016-278, in review, 2016.
Marshall, L., Schmidt, A., Toohey, M., Carslaw, K. S., Mann, G. W., Sigl, M., Khodri, M., Timmreck, C., Zanchettin, D., Ball, W. T., Bekki, S., Brooke, J., Dhomse, S., Johnson, C., Lamarque, J.-F., Legrande, A. N., Mills, M. J., Niemeier, U., Pope, J. O., Poulain, V., Robock, A., Rozanov, E., Stenke, A., Sukhodolov, T., Tilmes, S., Tsigaridis, K. and Tummon, F.: Multi-model comparison of the volcanic sulfate deposition from the 1815 eruption of Mt. Tambora, Atmos. Chem. Phys., 18(3), doi:10.5194/acp-18-2307-2018, 2018.
Timmreck, C., Mann, G. W., Aquila, V., Hommel, R., Lee, L. A., Schmidt, A., Brühl, C., Carn, S., Chin, M., Dhomse, S. S., Diehl, T., English, J. M., Mills, M. J., Neely, R., Sheng, J., Toohey, M. and Weisenstein, D.: The Interactive Stratospheric Aerosol Model Intercomparison Project (ISA-MIP): motivation and experimental design, Geosci. Model Dev., 11(7), 2581–2608, doi:10.5194/gmd-11-2581-2018, 2018.
958: Weddell Sea Ice
Hellmer, H. H., M. Rhein, G. Heinemann, J. Abalichin, W. Abouchami, O. Baars, U. Cubasch, K. Dethloff, L. Ebner, E. Fahrbach, M. Frank, G. Gollan, R. Greatbatch, J. Grieger, V. Gryanik, M. Gryschka, J. Hauck, M. Hoppema, O. Huhn, T. Kanzow, B. P. Koch, G. König-Langlo, U. Langematz, G. C. Leckebusch, C. Lüpkes, S. Paul, A. Rinke, M. Rutgers van der Loeff, B. Rost, M. Schröder, G. Seckmeyer, T. Stichel, V. Strass, R. Timmermann, S. Trimborn, U. Ulbrich, C. Venchiarutti, U. Wacker, S. Willmes, D. Wolf-Gladrow, 2016: Meteorology and oceanography of the Atlantic sector of the Southern Ocean - a review of German achievements from the last decade. Ocean Dynamics 66, 1379 – 1414. doi: 10.1007/s10236-016-0988-1.
DOI: doi:10.3390/rs11131539,
Heinemann, G., Glaw, L., Willmes, S., 2019: A satellite-based climatology of wind-induced surface temperature anomalies for the Antarctic. Remote Sens. 11, 1539, 17pp.
DOI: doi: 10.5194/gmd-2019-141,
Zentek, R., Heinemann, G., 2019: Verification of the regional atmospheric model CCLM v5.0 with conventional data and Lidar measurements in Antarctica. Geoscientific Model Development Discussion.
DOI: 10.5194/gmd-13-1809-2020,
Zentek, R., Heinemann, G., 2020: Verification of the regional atmospheric model CCLM v5.0 with conventional data and Lidar measurements in Antarctica. Geosci. Model Dev. 13, 1809–1825
DOI: 10.3390/atmos12121635,
Heinemann, G., Zentek, R., 2021: A model-based climatology of low-level jets in the Weddell Sea region of the Antarctic. Atmosphere 12, 1635; doi: 10.3390/atmos12121635.
Zentek, R., 2023: Regional climate simulations in the Weddell Sea region (Antarctic): Verifications and evaluation of low-level jets. Dissertation University of Trier, 98pp. https://ubt.opus.hbz-nrw.de/frontdoor/index/index/docId/2055
951: Gravity Wave Interactions in the Global Atmosphere (GWING)
none
DOI: 10.1029/2018JD030073,
Stephan, C. C., Strube, C., Klocke, D., Ern, M., Hoffmann, L., Preusse, P., & Schmidt, H.: Gravity waves in global high-resolution simulations with explicit and parameterized convection. J. Geophys. Res., 124, 4446–4459, 2019a.
DOI: Add to Favorites Track Citation Download Citation Email https://doi.org/10.1175/JAS-D-19-0040.1,
Stephan, C. C., Strube, C., Klocke, D., Ern, M., Hoffmann, L., Preusse, P., & Schmidt, H.: Intercomparison of Gravity Waves in Global Convection-Permitting Models, J. Climate, in press, 2019b.
DOI: 10.5194/gmd-12-3541-2019,
Borchert, S., Zhou, G., Baldauf, M., Schmidt, H., Zängl, G., & Reinert, D.: The upper-atmosphere extension of the ICON general circulation model (version: ua-icon-1.0). Geoscientific Model Development, 12, 3541-3569, 2019.
DOI: 10.1029/2019JD031528,
Stephan, C. C., Schmidt, H., Zülicke, C., & Matthias, V.: Oblique gravity wave propagation during sudden stratospheric warmings. Journal of Geophysical Research: Atmospheres, 125(1), 2020.
945: SASSCAL
Weber, T., Haensler, A., Rechid, D., Eggert, B. & D. Jacob (2017): Analysing regional climate change in Africa in a 1.5 °C, 2 °C and 3 °C global warming world. Earth’s Future. Submitted
944: EU H2020-project: PRIMAVERA
R.J. Haarsma et al. 2016: High Resolution Model Intercomparison Project (HighResMIP) Geosci. Model Dev Discuss:, doi:10.5194/gmd-2016-66.
Sidorenko, D., Koldunov, N. V., Wang, Q., Danilov, S., Goessling, H. F., Gurses, O., et al. (2018). Influence of a salt plume parameterization in a coupled climate model. Journal of Advances in Modeling Earth Systems, 10. Doi:10.1029/2018MS001291
Sein, D. V., Koldunov, N. V., Danilov, S., Sidorenko, D., Wekerle, C., Cabos, W., et al. (2018). The relative influence of atmospheric and oceanic model resolution on the circulation of the North Atlantic Ocean in a coupled climate model. Journal of Advances in Modeling Earth Systems, 10, 2026–2041. Doi:10.1029/2018MS001327
DOI: 10.1029/2018MS001447,
Putrasahan, D. A., Lohmann, K., von Storch, J.‐S., Jungclaus, J. H., Gutjahr, O., & Haak, H. (2019). Surface flux drivers for the slowdown of the Atlantic Meridional Overturning Circulation in a high‐resolution global coupled climate model. Journal of Advances in Modeling Earth Systems, 11, 1349– 1363.
Putrasahan D. A., Gutjahr O., Haak H., Jungclaus J. H., Lohmann K., Roberts M. J., von Storch J.-S. (2020): Effect of resolving ocean eddies on the transient response of global mean surface temperature to abrupt 4xCO2 forcing. Geophys. Res. Lett., in review
DOI: 10.5194/gmd-12-3241-2019,
Gutjahr O., Putrasahan D. A., Lohmann K., von Storch J.-S., Jungclaus J. H., Brüggemann N., Haak H., Stössel A., 2019: Max Planck Institute Earth System Model (MPI-ESM1.2) for High-Resolution Model Intercomparison Project (HighResMIP). Geoscientific Model Development, 12, 3241-3281, doi: 10.5194/gmd-12-3241-2019.
Putrasahan, D. A., and von Storch, J.-S. (2020): Changes in spectral relationships between circulation modes and regional climate under global warming. Geophys. Res. Lett., in review
DOI: 10.5194/gmd-2020-202,
Gutjahr O., Brüggemann N., Putrasahan D. A., Lohmann K., Jungclaus J. H., von Storch J.-S., Haak H. (2020): Comparison of ocean vertical mixing schemes in the Max Planck Institute Earth System Model (MPI-ESM1.2), Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2020-202, in review.
Lohmann K., Putrasahan D. A., von Storch J.-S., Jungclaus J. H., Gutjahr O., Haak H.: Decadal-scale response of the Atlantic meridional overturning circulation to reduced and increased surface wind stress. in prep.
939: Global eddy permitting ocean modeling with focus on the Agulhas system
Sein, D. V., S. Danilov, A. Biastoch, J. V. Durgadoo, D. Sidorenko, S. Harig, and Q. Wang (2016), Designing variable ocean model resolution based on the observed ocean variability, J. Adv. Model. Earth Syst., 8, 904–916, doi:10.1002/2016MS000650.
Sein, D. V., Koldunov, N. V., Danilov, S., Wang, Q., Sidorenko, D., Fast, I., Rackow, T., Cabos, W. and Jung, T. (2017), Ocean Modeling on A Mesh with Resolution Following the Local Rossby Radius. J. Adv. Model. Earth Syst.. Accepted Author Manuscript. doi:10.1002/2017MS001099
937: Influence of land-use transformations on local and regional climate in Germany
Prein, A. F., W. Langhans, G. Fosser, A. Ferrone, N. Ban, K. Georgen, M. Keller, M. Tölle, O. Gutjahr, F. Feser, E. Brisson, S. Kollet, J. Schmidli, N. P. M. van Lipzig, R. Leung, 2015: A review on regional convection-permitting climate modeling: demonstrations, prospects, and challenges, Reviews of Geophysics, 53, DOI:10.1002/2014RG000475
Tölle, M. H., L. Schefczyk, O. Gutjahr, 2016: Continental-scale regional climate modelling of the current and future climate of Germany. (In Review)
Tölle, M. H., L. Schefczyk, O. Gutjahr, 2017: Scale dependency of regional climate modeling of current and future climate extremes in Germany, Theoretical and Applied Climatology, DOI: 10.1007/s00704-017-2303-6
Prein, A. F., W. Langhans, G. Fosser, A. Ferrone, N. Ban, K. Georgen, M. Keller, M. Tölle, O. Gutjahr, F. Feser, E. Brisson, S. Kollet, J. Schmidli, N. P. M. van Lipzig, R. Leung, 2015: A review on regional convection-permitting climate modeling: demonstrations, prospects, and challenges, Reviews of Geophysics, DOI: 10.1002/2014RG000475
Tölle, M. H., O. Gutjahr, J. Thiele, G. Busch, 2014: Increasing bioenergy production on arable land: Does the regional and local climate respond? Germany as a case study, Journal of Geophysical Research Atmospheres, 119(6): 2711–2724, DOI: 10.1002/2013JD020877
931: ReKliEs-De (Regionales Klimaszenarien-Ensemble für Deutschland)
no publications yet
DOI: 10.2312/WDCC/ReKliEsDe_Ergebnisbericht,
Heike Hübener, Bülow, K., Fooken, C., Früh, B., Hoffmann. P., Höpp, S., Keuler, K., Menz, Ch., Mohr, V., Radtke, K., Ramthun, H., Spekat, A., Steger, Ch., Toussaint, F., Warrach-Sagi, K., Woldt, M., 2017: ReKliEs-DE Ergebnisbericht
921: ICE-ARC
Castellani, G. , Lüpkes, C. , Hendricks, S. and Gerdes, R. (2014) Variability of Arctic sea-ice topography and its impact on the atmospheric surface drag , Journal of Geophysical Research: Oceans, 119 (10), pp. 6743-6762 . doi:10.1002/2013JC009712 , hdl:10013/epic.44420
Castellani, G. , Lüpkes, C. , Hendricks, S. and Gerdes, R. (2014) Variability of Arctic sea-ice topography and its impact on the atmospheric surface drag , Journal of Geophysical Research: Oceans, 119 (10), pp. 6743-6762 . doi:10.1002/2013JC009712 , hdl:10013/epic.44420
Castro-Morales, K. , Kauker, F. , Losch, M. , Hendricks, S. , Riemann-Campe, K. and Gerdes, R. (2014) Sensitivity of simulated Arctic sea ice to realistic ice thickness distributions and snow parameterizations , Journal of Geophysical Research: Oceans, 119 (1), pp. 559-571 . doi:10.1002/2013JC009342 , hdl:10013/epic.42977
920: Early-Holocene and last glacial maximum simulations using the high resolution finite-element ocean model FESOM coupled with ECHAM6
Shi, X and Lohmann, G, EARLY-HOLOCENE CLIMATE IN ECHAM6-FESOM, the Holocene, submitted.
909: Learning on cloud brightening under risk and uncertainty: Whether, when and how to do a field experiment (LEAC)
Aswathy, V. N., O. Boucher, M. Quaas, U. Niemeier, H. Muri, J. Mülmenstädt, and J. Quaas, Climate extremes in multi-model simulations of stratospheric aerosol- and marine cloud brightening climate engineering, Atmos. Chem. Phys., 15, 9593-9610, doi:10.5194/acp-15-9593-2015, 2015.
Aswathy, V. N., O. Boucher, M. Quaas, U. Niemeier, H. Muri, J. Mülmenstädt, and J. Quaas, Climate extremes in multi-model simulations of stratospheric aerosol- and marine cloud brightening climate engineering, Atmos. Chem. Phys., 15, 9593-9610, doi:10.5194/acp-15-9593-2015, 2015.
Quaas, M. F., J. Quaas, W. Rickels, and O. Boucher, Are there good reasons against research into solar radiation management?, J. Environ. Econ. Manage., in revision.
Quaas, J., M. F. Quaas, O. Boucher, and W. Rickels, Regional climate engineering by radiation management: Prerequisites and prospects, Earth's future, submitted. Schemann, V., and J. Quaas, Improving the representation of subgrid-scale variability of total water in GCMs., J. Adv. Model. Earth Syst., in revision.
Dipu S., J. Quaas, M. Quaas, W. Rickels, J. Mülmenstädt, and O. Boucher, Limited-area climate engineering: Climate response outside the target area, in preparation for Environ. Res. Lett.
906: The role of convective available potential energy for tropical cyclone intensification
Frisius, T. and M. Lee, 2015: The impact of gradient wind imbalance on tropical cyclone intensification within Ooyama’s three-layer model. J. Atmos. Sci, submitted.
904: Climate simulations for the EU FP7 BACCHUS project
Gilgen A. (2015), How Will Aerosol-Cloud Interactions Change in an Ice-Free Arctic Summer?, Master thesis, ETH Zurich.
903: Kohlenstoff im Permafrost: Bildung, Umwandlung und Freisetzung – CarboPerm
G.A. Alexandrov, V.A. Brovkin, T. Kleinen (submitted). Why there were no peatlands in Western Siberia during the Last Glacial Maximum?
Brovkin, V., Bruecher, T., Kleinen, T., Zaehle, S., Joos, F., Roth, R., Spahni, R., Schmitt, J., Fischer, H., Leuenberger, M., Stone, E. J., Ridgwell, A., Chappellaz, J., Kehrwald, N., Barbante, C., Blunier, T., & Dahl Jensen, D. (submitted). Comparative carbon cycle dynamics of past and present interglacials.
Cresto-Aleina, F., Runkle, B., Kleinen, T., Kutzbach, L., Schneider, J., & Brovkin, V. (2015). Modeling micro-topographic controls on boreal peatland hydrology and methane fluxes. Biogeosciences, 12, 5689-5704. doi:10.5194/bg-12-5689-2015
Bohn, T. J., Melton, J. R., Ito, A., Kleinen, T., Spahni, R., Stocker, B., Zhang, B., Zhu, X., Schroeder, R., Glagolev, M. V., Maksyutov, S., Brovkin, V., Chen, G., Denisov, S. N., Eliseev, A. V., Gallego-Sala, A., McDonald, K. C., Rawlins, M., Riley, W. J., Subin, Z. M., Tian, H., Zhuang, Q., & Kaplan, J. O. (2015). WETCHIMP-WSL: intercomparison of wetland methane emissions models over West Siberia. Biogeosciences, 12, 3321-3349. doi:10.5194/bg-12-3321-2015
Kleinen, T., Brovkin, V., & Munhoven, G. (2015). Carbon cycle dynamics during recent interglacials. Climate of the Past Discussions, 11: Open Review, pp. 1945-1983. doi:10.5194/cpd-11-1945-2015
901: Fire in the Earth system
Veira, A., Kloster, S., Wilkenskjeld, S., & Remy, S. (2015). Fire emission heights in the climate system - Part 1: Global plume height patterns simulated by ECHAM6-HAM2. Atmospheric Chemistry and Physics, 15, 7155-7171.
Veira, A., Kloster, S., Schutgens, N., & Kaiser, J. W. (2015). Fire emission heights in the climate system - Part 2: Impact on transport, black carbon concentrations and radiation. Atmospheric Chemistry and Physics, 15, 7173-7193.
Veira, A., Lasslop, G., Kloster, S. (submitted). Wildfires in a warmer climate: Emission fluxes, emission heights and black carbon concentrations in 2090–2099, JGR, under revision.
Lasslop, G., Brovkin, V., Reick, C., Bathiany, S. & Kloster, S. (2016). Multiple stable states of tree cover in a global land surface model due to a fire-vegetation feedback. Geophysical Research Letters, 43, 6324-6331 , doi:10.1002/2016GL069365. Lasslop, G., Brovkin, V., Reick, C., Bathiany, S. & Kloster, S. (2016b). Multiple stable states of tree cover due to a fire - vegetation feedback, AGU abstract, oral presentation, https://agu.confex.com/agu/fm16/meetingapp.cgi/Paper/171285
Lasslop, G., Moeller, T., D'Onofrio, D., Hantson, S. and Kloster, S.: Tropical climate-vegetation-fire relationships: multivariate evaluation of the land surface model JSBACH, 2018, in review, https://www.biogeosciences-discuss.net/bg-2018-48/ Wilkenskjeld, S., Kloster, S. and Georgievski, G.: Assessing Carbon Emissions from Wildfires using observed data from ESA-CCI-Fire and the JSBACH vegetation model. In preparation for Biogeosciences.
900: PEARL
Work Package 2: Deliverable 2.3 Analysis of climate change and sea level rise including downscaling of climate scenarios
899: Wechselwirkungen zwischen verschiedenen Komponenten des arktischen Klimasystems
Niederdrenk, A. L., Mikolajewicz, U. (2016): Variability of Winter Sea Ice in Greenland-Iceland-Norwegian Sea in a Regionally Coupled Climate Model. - Polarforschung, 85, 2, pp. 81—84. DOI: http://doi.org/10.2312/polfor.2016.003
A.L. Niederdrenk and U. Mikolajewicz. Variability of winter sea ice in Greenland-Iceland-Norwegian sea in a regionally coupled climate model. Polarforschung , 2016.(doi:10.2312/polfor.2016.003)
896: Simulation of the Mediterranean climate in the framework of HYMEX
Flaounas, E., Kelemen, F.D., Wernli, H., Gaertner, M.A., Reale, M., Sanchez-Gomez, E., Lionello, P., Calmanti, S., Podrascanin, Z., Somot, S., Akhtar, N., Romera, R., Conte, D (2016). Assessment of an ensemble of ocean–atmosphere coupled and uncoupled regional climate models to reproduce the climatology of Mediterranean cyclones. Climate Dynamics. doi:10.1007/s00382-016-3398-7
Gaertner, M.A. et al. (2016). Impact of ocean-atmosphere coupling and high resolution on the simulation of medicanes over the Mediterranean Sea: multi-model analysis with Med-CORDEX and EURO-CORDEX runs. Climate Dynamics. doi:10.1007/s00382-016-3456-1
Obermann, A., S. Bastin, S. Belamari, D. Conte, M. A. Gaertner, L. Li, B. Ahrens (2016). Mistral and Tramontane wind speed and wind direction patterns in regional climate simulations. Climate Dynamics. doi:10.1007/s00382-016-3053-3
Obermann-Hellhund A., D. Conte, S. Somot, C. Zsolt Torma, B. Ahrens (2016) Mistral and Tramontane wind systems in regional and global climate simulations from 1950 to 2100. Accepted by Climate Dynamics
Akhtar, N., J. Brauch, B. Ahrens (2017). Climate Modeling over the Mediterranean Sea: Impact of Resolution and Ocean Coupling. Climate Dynamics. DOI 10.1007/s00382-017-3570-8
1. Akhtar, N., J. Brauch, A. Dobler, K. Berenger, B. Ahrens.: Medicanes in an ocean-atmosphere coupled regional climate model. Nat. Hazards Earth Syst. Sci., 14, 2189-2201. doi:10.5194/nhess-14-2189-2014, 2014.
1. Ruti PM, Somot S, Giorgi F, Dubois C, Flaounas E, Obermann A, Dell’Aquila A, Pisacane G, Harzallah A, Lombardi E, Ahrens B, Akhtar N, Alias A, Arsouze T, Aznar R, Bastin S, Bartholy J, Béranger K, Beuvier J, Bouffies-Cloché S, Brauch J, Cabos W, Calmanti S, Calvet J-C, Carillo A, Conte D, Coppola E, Djurdjevic V, Drobinski P, Elizalde-Arellano A, Gaertner M, Galàn P, Gallardo C, Gualdi S, Goncalves M, Jorba O, Jordà G, L'Heveder B, Lebeaupin-Brossier C, Li L, Liguori G, Lionello P, Maciàs-Moy D, Nabat P, Onol B, Rajkovic B, Ramage K, Sevault F, Sannino G, Struglia MV, Sanna A, Torma C, Vervatis V (2015) MED-CORDEX initiative for Mediterranean Climate studies. BAMS, doi: 10.1175/BAMS-D-14-00176.1
895: GFZ - RECOM
Uenzelmann-Neben, G., Weber, T., Gruetzner, J. & Thomas, M., in press. Transition from the Cretaceous ocean to Cenozoic circulation in the western South Atlantic — A twofold reconstruction. Tectonophysics. doi:10.1016/j.tecto.2016.05.036
Köhler, R. 2016. Climate system of the Cenomanian-Turonian boundary and how it is influences by ocean tides. Master thesis, Department of Earth Sciences, Freie Universität Berlin
Weber, T., 2016. Impact of ocean tides on the climate system during the pre-industrial period, the early Eocene, and the Albian. PhD thesis, Department of Earth Sciences, Freie Universität Berlin, http://www.diss.fu-berlin.de/diss/receive/FUDISS_thesis_000000100930
893: Convection and Clouds in Earth System Modelling
Tost, H.: Chemistry–climate interactions of aerosol nitrate from lightning, Atmos. Chem. Phys., 17, 1125-1142, https://doi.org/10.5194/acp-17-1125-2017, 2017.
Abdelkader, M., Metzger, S., Steil, B., Klingmüller, K., Tost, H., Pozzer, A., Stenchikov, G., Barrie, L., and Lelieveld, J.: Sensitivity of transatlantic dust transport to chemical aging and related atmospheric processes, Atmos. Chem. Phys., 17, 3799-3821, https://doi.org/10.5194/acp-17-3799-2017, 2017.
Forrest, M., Tost, H., Lelieveld, J., and Hickler, T.: Towards an advanced atmospheric chemistry-enabled ESM with dynamic land surface processes: Part I - Linking LPJ-GUESS (v4.0) with EMAC modelling system (v2.53), Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2018-135, in review, 2018
Bacer, S., Sullivan, S. C., Karydis, V. A., Barahona, D., Krämer, M., Nenes, A., Tost, H., Tsimpidi, A. P., Lelieveld, J., and Pozzer, A.: Implementation of a comprehensive ice crystal formation parameterization for cirrus and mixed-phase clouds in the EMAC model (based on MESSy 2.53), Geosci. Model Dev., 11, 4021-4041, https://doi.org/10.5194/gmd-11-4021-2018, 2018
891: Forest management in the Earth system
Luyssaert, S., et al. 2014. Land management and land-cover change have impacts of similar magnitude on surface temperature. Nature Clim. Change, DOI: 10.1038/NCLIMATE2196
LeQuere, et al.: Global Carbon Budget 2015, subm. to Earth System Science Data.
* Arneth, A., Sitch, S., Pongratz, J., ... Nabel, J.E.M.S., et al.: Have CO2 emissions from land use change systematically been underestimated? Nature Geoscience, in re-review. * LeQuere, C., ... Nabel, J.E.M.S., et al.: Global Carbon Budget 2015, Earth System Science Data, 7, 349–396, 2015. * LeQuere, C., ... Nabel, J.E.M.S., et al.: Global Carbon Budget 2016, submitted to Earth System Science Data. * Nyawira, S., Nabel, J.E.M.S., Don, A., Brovkin, V., and Pongratz, J.: Soil carbon response to land- use change: evaluation of a global vegetation model using observational meta-analyses, Biogeosciences, 13, 5661-5675, 2016. * Sabot, M., Naudts, K., Nabel, J.E.M.S., Pongratz, J. Age-dependent harvest of forest: impacts on global carbon stocks and biophysical properties. In preparation. * Winckler J., Reick, C.H., and Pongratz, J: Robust identification of local biogeopysical effects of land cover change in a global climate model, J. Climate, in press. * Winckler J., Reick, C.H., and Pongratz, J: Why does the locally induced temperature response to land cover change differ across scenarios? In preparation for GRL (currently in internal review).
* Erb, K.-H., Kastner T., Plutzar, C., Bais, A.L.S., Carvalhais, N., Fetzel, T., Gingrich, S., Haberl, H., Lauk, C., Niedertscheider, M., Pongratz, J., Thurner, M., Luyssaert, S.. Unexpectedly large impact of forest management and grazing on global vegetation biomass. Nature, in press. * Hansis, E., Davis, S. J., Pongratz, J.. Relevance of methodological choices for accounting of land use change carbon fluxes. Global Biogeochem. Cycles, 29, 1230-1246 (2015). * Le Quéré, C., … Nabel, J.E.M.S., et al.: Global Carbon Budget 2016, Earth Syst. Sci. Data, 8, 605–649 (2016). * Le Quéré, C., … Pongratz, J., … Nabel, J.E.M.S., et al.: Global Carbon Budget 2017, in prep. for Earth Syst. Sci. Data. * Nyawira, S. Modeling the effects of land use change on soil carbon on global scale. Ph.D. thesis in Geosciences at the University of Hamburg, 2017. * Nyawira, S., Nabel, J., Brovkin, V. and Pongratz, J. Input-driven versus turnover-driven controls of simulated changes in soil carbon due to land- use change. Environmental Research Letters 12(084015), 2017. * Vogt, J. The effect of limited CO2 fertilization for mature forests on climate and the carbon cycle in JSBACH. Master thesis, Meteorological Institute of the University of Hamburg, 2017. * Winckler, J. Local and Nonlocal Biogeophysical Effects of Deforestation in a Climate Model, Ph.D. thesis in Geosciences at the University of Hamburg, 2017. * Winckler, J., Reick, C., and Pongratz, J. The neglected nonlocal effects of deforestation. In EGU General Assembly Conference Abstracts, volume 19, page 9331, 2017.
* Bastos, A. , ..., Nabel, J., Pongratz, J., et al.: Impact of the 2015/2016 El Nino on the terrestrial carbon cycle constrained by bottom-up and top-down approaches. Phil. Trans. R. Soc. B 373.1760, 20170304 (2018). * Buermann, Wolfgang, ... Nabel, J.E.M.S., et al. Widespread seasonal compensation effects of spring warming on northern plant productivity. Nature 562.7725, 110 (2018). * Grassi, G., ... Nabel, J.E.M.S., et al.: Reconciling global-model estimates and country reporting of anthropogenic forest CO2 sinks." Nature Climate Change 8.10, 914-920 (2018). * Le Quéré, C., ... Pongratz, J., ... Nabel, J.E.M.S., et al.: Global Carbon Budget 2017, Earth Syst. Sci. Data, 10, 405–448 (2018). * Le Quéré, C., ... Pongratz, J., ... Nabel, J.E.M.S., et al.: Global Carbon Budget 2018, submitted to Earth Syst. Sci. Data. * Nabel, J., Naudts, K., Pongratz, J.: Influence of forest-age structure on land-atmosphere fluxes in the land surface model JSBACH. EGU Geophysical Research Abstracts, volume 20, 6526 (2018). * Pongratz, J., ... Naudts, K. : Models meet data: Challenges and opportunities in implementing land management in Earth system models. Global change biology 24.4, 1470-1487 (2018). * Wang, J., ... Nabel, J., et al.: Contrasting interannual atmospheric CO2 variabilities and their terrestrial mechanisms for two types of El Ninos. Atmospheric Chemistry and Physics, 18, 10333-10345 (2018). * Winckler, J., Reick, C.H., and Pongratz, J.: Why does the locally induced temperature response to land cover change differ across scenarios? Geophys. Res. Lett. 10.1002/2017GL072519 (2017a). * Winckler, J., Reick, C.H., and Pongratz, J.: Robust Identification of Local Biogeophysical Effects of Land -Cover Change in a Global Climate Model, J. Climate, 10.1175/JCLI-D-16-0067.1 (2017b). * Winckler, J., Reick, C.H., Luyssaert, S., Cescatti, A., Stoy, P.C., Lejeune, Q., Raddatz, T., Chlond, A., Heidkamp, M., and Pongratz, J., Different response of surface temperature and air temperature to deforestation in climate models, Earth System Dynamics Discussion (2018). * Winckler, J., Lejeune, Q., Reick, C.H., and Pongratz, J.: Nonlocal effects dominate the global mean surface temperature response to the biogeophysical effects of deforestation, in review (minor revisions) at Geophys. Res. Lett.
DOI: doi:10.5194/acp-19-12361-2019,
Bastos, A., … Nabel, J., et al. (2019). Contrasting effects of CO2 fertilization, land-use change and warming on seasonal amplitude of Northern Hemisphere CO2 exchange. Atmospheric Chemistry and Physics, 19, 12361-12375.
Friedlingstein, P., … Pongratz, J., … Nabel, J.E.M.S., et al. (submitted). Global Carbon Budget 2019, submitted to Earth Syst. Sci. Data.
Forzieri. G., … Pongratz, J., … Nabel, J.E.M.S., et al. (in press). Increased control of vegetation on terrestrial energy fluxes. Nature Climate Change.
DOI: doi 10.5194/bg-2019-368,
Jung, M., …, Pongratz, J., … Nabel, J.E.M.S., et al. (submitted). Scaling carbon fluxes from eddy covariance sites to globe: Synthesis and evaluation of the FLUXCOM approach. In open review for Biogeosciences
DOI: doi 10.5194/gmd-2019-68,
Nabel, J., Naudts, K. & Pongratz, J. (2019). Accounting for forest age in the tile-based dynamic global vegetation model JSBACH4 (4.20p7; git feature/forests) – a land surface model for the ICON-ESM. In open review for Geoscientific Model Development Discussions
DOI: doi:10.1126/sciadv.aax1396,
Yuan, W., …, Nabel, J., et al. (2019). Increased atmospheric vapor pressure deficit reduces global vegetation growth. Science Advances, 5: eaax1396
Pan, S., ..., Nabel, J. et al., Evaluation of global terrestrial evapotranspiration using state-of-the-art approaches in remote sensing, machine learning and land surface modeling. Hydrology and Earth System Sciences, 24, 1485-1509 (2020).
Wang, K., ..., Nabel, J., et al., Causes of slowing‐down seasonal CO2 amplitude at Mauna Loa. Glob Change Biol.; 26: 4462– 4477 (2020).
DOI: e2019GB006393,
Bastos, A., ... Pongratz, J., ..., Nabel, J., et al., Sources of uncertainty in regional and global terrestrial CO2 exchange estimates. Global Biogeochemical Cycles, 34: e2019GB006393, (2020).
Collalti, A., ..., Nabel, J., Pongratz, J., et al., Forest production efficiency increases with growth temperature. Nat Commun 11, 5322 (2020).
Friedlingstein, P., ... Pongratz, J., ... Nabel, J.E.M.S., et al. (submitted). Global Carbon Budget 2020, submitted to Earth Syst. Sci. Data.
Nabel, J., Naudts, K. & Pongratz, J.. Accounting for forest age in the tile-based dynamic global vegetation model JSBACH4 (4.20p7; git feature/forests) – a land surface model for the ICON-ESM. Geoscientific Model Development, 13, 185-200 (2020).
Yang, H., ..., Nabel, J., et al., Comparison of forest above-ground biomass from dynamic global vegetation models with spatially explicit remotely sensed observation-based estimates. Glob. Chage Biol., 26: 3997-4012 (2020).
DOI: doi:10.5194/essd-12-3269-2020,
Friedlingstein et al. 2020. Global carbon budget 2020. Earth System Science Data, 12, 3269-3340.
DOI: doi:10.1088/1748-9326/abfac1,
Chen et al. 2021a. Five years of variability in the global carbon cycle: comparing an estimate from the Orbiting Carbon Observatory-2 and process-based models. Environmental Research Letters, 16: 054041.
DOI: doi:10.5194/acp-21-6663-2021,
Chen et al. 2021b. Linking global terrestrial CO2 fluxes and environmental drivers: inferences from the Orbiting Carbon Observatory 2 satellite and terrestrial biospheric models. Atmospheric Chemistry and Physics, 21, 6663-6680.
DOI: doi:10.5194/esd-12-635-2021,
Obermeier et al. 2021. Modelled land use and land cover change emissions - A spatio-temporal comparison of different approaches. Earth System Dynamics, 12, 635-670.
DOI: doi:10.1029/2020GB006613,
O'Sullivan et al. 2020. Climate-driven variability and trends in plant productivity over recent decades based on three global products. Global Biogeochemical Cycles, 34: e2020GB006613.
DOI: doi:10.17617/2.3311475,
Wey, H.-W. (2021). Impact of forest drought response on land-atmosphere interactions. PhD Thesis, Universität Hamburg, Hamburg.
DOI: 10.5194/essd-14-1917-2022,
Friedlingstein, P. et al. (incl. Pongratz, J., Schwingshackl, C., Falk, S.) (2022). Global Carbon Budget 2022. Earth System Science Data
DOI: 10.5194/essd-2022-245,
Ganzenmüller, R., Bultan, S., Winkler, K., Fuchs, R., Zabel, F., & Pongratz, J. (2022). Land-use change emissions based on high-resolution activity data substantially lower than previously estimated. Environmental Research Letters, 17(6), 064050. Grassi, Giacomo; Clemens Schwingshackl, ... Julia Pongratz (2022). Mapping land-use fluxes for 2001-2020 from global models to national inventories. Earth System Science Data Discussion,
DOI: 10.5194/gmd-15-1289-2022,
Ciais, P., Ana Bastos, Frédéric Chevallier, Ronny Lauerwald, Ben Poulter, ... Julia Pongratz et al., Definitions and methods to estimate regional land carbon fluxes for the second phase of the REgional Carbon Cycle Assessment and Processes Project (RECCAP-2) (2022). Geoscientific Model Development 15(3): 1289-1316,
Dohner, Julia L.; Benjamin Birner, Armin Schwartzman, Julia Pongratz, and Ralph F. Keeling (2022). Using the atmospheric CO2 growth rate to constrain the CO2 flux from land use and land cover change since 1900. Global Change Biology.
DOI: 10.1029/2021JG006525,
Wey, H., Pongratz, J., Nabel, J. E. M. S., & Naudts, K. (2022). Effects of Increased Drought in Amazon Forests Under Climate Change: Separating the Roles of Canopy Responses and Soil Moisture. Journal of Geophysical Research: Biogeosciences, 127(3).
Winkler, K., Hui Yang, Raphael Ganzenmüller, Richard Fuchs, Guido Ceccherini, Grégory Duveiller, Giacomo Grassi, Julia Pongratz, Ana Bastos, Anatoly Shvidenko, Arnan Araza, Martin Herold, Philippe Ciais (subm.). Decline of the Eastern European land carbon sink – analysing the contribution of land use, management and environmental change. Nature Climate Change
O'Sullivan, M., Pierre Friedlingstein, Stephen Sitch, Peter Anthoni, Almut Arneth, ...Julia Nabel, Julia Pongratz et al. (in press.). Process-oriented analysis of dominant sources of uncertainty in the land carbon sink. Nature Comm.
Schwingshackl, Clemens; Wolfgang Obermeier, Selma Bultan, Giacomo Grassi, Josep G. Canadell, Pierre Friedlingstein, Thomas Gasser, Richard A. Houghton, Werner A. Kurz, Stephen Sitch, Julia Pongratz (in revision). Separating natural and land-use CO2 fluxes at country-level to reconcile land-based mitigation estimates. Future Earth.
Nützel, T., Nabel, J., Hansis, E., Holube, K. & Pongratz, J. (in prep.). More realistic parametrisations of wood products and slash lead to changes in the regional distribution of LULCC emissions in a bookkeeping model.
Lamb, W., Giacomo Grassi et al., incl Pongratz, J.: UNEP Emissions Gap Report 2022.
Kondo, M., Sitch, S., Ciais, P., Achard, F., Kato, E., Pongratz, J., ... & Zaehle, S. (2022). Are Land‐Use Change Emissions in Southeast Asia Decreasing or Increasing?. Global Biogeochemical Cycles, 36(1), e2020GB006909.
Ganzenmüller, R., Bultan, S., Winkler, K., Fuchs, R., Zabel, F., & Pongratz, J. (2022). Land-use change emissions based on high-resolution activity data substantially lower than previously estimated. Environmental Research Letters, 17(6), 064050.
Chini, L., Hurtt, G., Sahajpal, R., Frolking, S., Klein Goldewijk, K., Sitch, S., R Ganzenmüller, L Ma, L Ott, J Pongratz, & Poulter, B. (2021). Land-use harmonization datasets for annual global carbon budgets. Earth System Science Data, 13(8), 4175-4189.
DOI: 10.5194/esd-14-767-2023,
Kou-Giesbrecht et al. (2023) 'Evaluating nitrogen cycling in terrestrial biosphere models: a disconnect between the carbon and nitrogen cycles'
DOI: 10.5194/essd-14-4811-2022,
Friedlingstein, P. et al. (2022) ‘Global Carbon Budget 2022’, Earth System Science Data, 14(11), pp. 4811–4900
DOI: in Review,
Ganzenmüller, R, Obermeier, W. A., Bultan S., Spawn-Lee, S. A., Zabel, F., Pongratz, J.: The terrestrial carbon deficit, Nature Geosciences
DOI: 10.5194/essd-15-1093-2023,
Grassi, G., Schwingshackl, C., Gasser, T., Houghton, R. A., Sitch, S., Canadell, J. G., Cescatti, A., Ciais, P., Federici, S., Friedlingstein, P., Kurz, W. A., Sanz Sanchez, M. J., Abad Viñas, R., Alkama, R., Bultan, S., Ceccherini, G., Falk, S., Kato, E., Kennedy, D., Knauer, J., Korosuo, A., Melo, J., McGrath, M. J., Nabel, J. E. M. S., Poulter, B., Romanovskaya, A. A., Rossi, S., Tian, H., Walker, A. P., Yuan, W., Yue, X., and Pongratz, J.: Harmonising the land-use flux estimates of global models and national inventories for 2000–2020, Earth Syst. Sci. Data, 15, 1093–1114
DOI: 10.1038/s41597-023-02041-1,
Jones, M.W., Peters, G.P., Gasser, T. et al. National contributions to climate change due to historical emissions of carbon dioxide, methane, and nitrous oxide since 1850. Sci Data 10, 155 (2023)
DOI: 10.5194/essd-2023-281,
bermeier, W. A., Schwingshackl, C., Bastos, A., Conchedda, G., Gasser, T., Grassi, G., Houghton, R. A., Tubiello, F. N., Sitch, S., and Pongratz, J.: Country-level estimates of gross and net carbon fluxes from land use, land-use change and forestry, Earth Syst. Sci. Data Discuss. [preprint]
DOI: 10.17605/OSF.IO/W3B4Z,
Smith, S. M., Geden, O., Nemet, G., Gidden, M., Lamb, W. F., Powis, C., Bellamy, R., Callaghan, M., Cowie, A., Cox, E., Fuss, S., Gasser, T., Grassi, G., Greene, J., Lück, S., Mohan, A., Müller-Hansen, F., Peters, G., Pratama, Y., Repke, T., Riahi, K., Schenuit, F., Steinhauser, J., Strefler, J., Valenzuela, J. M., and Minx, J. C. (2023). The State of Carbon Dioxide Removal -1st Edition. The State of Carbon Dioxide Removal.
DOI: https://essd.copernicus.org/preprints/essd-2023-409/,
Friedlingstein, P. et al. (2023) ‘Global Carbon Budget 2023’, Earth System Science Data. [Pre-print]
DOI: 10.5194/essd-15-4295-2023,
McGrath, M. J., Petrescu, A. M. R., Peylin, P., Andrew, R. M., Matthews, B., Dentener, F., ... & Walther, S. (2023). The consolidated European synthesis of CO 2 emissions and removals for the European Union and United Kingdom: 1990–2020. Earth System Science Data, 15(10), 4295-4370
DOI: 10.1038/s43247-023-00893-4,
Winkler, K., Yang, H., Ganzenmüller, R., Fuchs, R., Ceccherini, G., Duveiller, G., ... & Ciais, P. (2023). Changes in land use and management led to a decline in Eastern Europe’s terrestrial carbon sink. Communications Earth & Environment, 4(1), 237
890: Austauschprozesse in der Atmosphärischen Grenzschicht
Schröttle, J. , Z. Piotrowski, A. Englberger, A. Dörnbrack and T. Gerz: 'Wind turbine wakes in forest and neutral plane wall boundary layer large-eddy simulations', J. Phys. Conf. Series: The Science of Making Torque from Wind, 753, 032058, doi: 10.1088/1742-6596/753/3/032058 (2016)
Schröttle & Dörnbrack (2013)
Gisinger et al. (2015)
Schröttle et al. (2015)
889: Modeling the Effect of Irrigation on the water Cycle in Central Asia (MEICCA)
Paeth, H, Müller, M. and Mannig, B. (2015): Global versus local effects on climate change in Asia. – In: Climate Dyn., doi:10.1007/s00382-014-2463-3.
888: Assimilation of paleoclimate proxy data into MPI-ESM using ensemble member selection
Matsikaris, A., M. Widmann, and J. Jungclaus, 2015a: On-line and off-line data assimilation in palaeoclimatology – a case study. Climate of the Past, 11 (1), 81-93
Matsikaris, A., M. Widmann, and J. Jungclaus, 2015b: Assimilating continental mean temperatures to reconstruct the climate of the late pre-industrial period. Climate Dynamics,published online, doi: 10.1007/s00382-015-2785-9.
Matsikaris, A., Widmann, M., and Jungclaus, J.: Influence of proxy data uncertainty on data assimilation for the past climate, Clim. Past, 12, 1555-1563, doi:10.5194/cp-12-1555-2016, 2016.
887: Influence of tropical land-use transformations on local and regional climate in Sumatra/Indonesia
Tölle, M.H., O. Panferov: Impact of poplar plantations on the regional climate in Central Germany. Talk, 9. Deutsche Klimatagung, Albert-Ludwigs-Universität Freiburg, 9.-12. Oktober 2012
Tölle, M. H., H.-J. Panitz 2015: Impact of abrupt land cover changes by tropical deforestation on South-East Asian climate. (In Preparation)
Tölle, M. H., O. Gutjahr, J. Thiele, G. Busch, 2014: Increasing bioenergy productionon arable land: Does the regional and local climate respond? Germany as a case study, Journal of Geophysical Research Atmospheres, 119: 2711–2724, DOI:10.1002/2013JD020877
Tölle, M. H., C. Moseley, O. Panferov, G. Busch, A. Knohl, 2013: Water supply patterns in Germany under climate change conditions, Biogeosciences, 10: 2959-2972, DOI:10.5194/bg-10-2959-2013
Tölle, M. H., O. Gutjahr, J. C. Thiele, G. Busch: How will the local and regional climate respond to bioenergy motivated agricultural transformations? Germany as a realistic case study. Poster, Gordon Research Conference on Radiation and Climate 2013, New England, USA, 8-12 April, 2013
Prein, A. F., W. Langhans, G. Fosser, A. Ferrone, N. Ban, K. Georgen, M. Keller, M.Tölle, O. Gutjahr, F. Feser, E. Brisson, S. Kollet, J. Schmidli, N. P. M. van Lipzig, R.Leung, 2015: A review on regional convection-permitting climate modeling:demonstrations, prospects, and challenges, Reviews of Geophysics, DOI:10.1002/2014RG000475
Tölle, M. H., S. Engler, H.-J. Panitz 2015: Impact of abrupt land cover changes by tropical deforestation on South-East Asian climate. (In Review)
Tölle, M. H., S. Engler, H.-J. Panitz, 2017: Impact of abrupt land cover changes by tropical deforestation on South-East Asian climate and agriculture, Journal of Climate, 30, 2587- 2600, DOI: 10.1175/JCLI-D-16-0131.1
Dislich, C., A. C. Kayel, J. Salecker, Y. Kisel, M. Meyer, M. Auliva, A.D. Barnes, M. D. Corre, K. Darras, H. Faust, B. Hess, A. Knohl, H. Kreft, A. Meijide, F. Nurdiansyah, F. Otten, G. Pe'er, S. Steinebach, S. Tarigan, M. H. Tölle, T. Tscharntke, K. Wiegand, 2016: A review of the ecosystem functions in oil palm plantations, using forests as a reference system, Biological Reviews, DOI: 10.1111/brv.12295
Tölle, M. H.: Changes in land-atmosphere coupling due to deforestation in South-East Asia. Plenary Talk, COSMO-CLM Assembly, University of Graz, Graz, Austria, 18 – 22 September, 2017
885: Stratospheric Sulfur and its Role in Climate (SSiRC) data project
Kremser, S. L. W. Thomason, M. von Hobe, M. Hermann T. Deshler, C. Timmreck, M. Toohey, A. Stenke, F. Prata, J. Schwarz, R. Weigel, S. Fueglistaler, J.-P. Vernier, B. Luo, H. Schlager, J. Barnes, J.-C. Antuna-Marrero, D. Fairlie, M. Palm, E. Mahieu, J. Notholt, M. Rex, R. Neely, C. Bingen, A. Bourassa, J. Plane, D. Klocke, S. Carn, C. Lieven, A. James, S. Borrmann, L. Rieger, T. Trickl, C. Wilson, and B. Meland (2016) Stratospheric aerosol - Observations, processes, and impact on climate. Rev. Geophys., 54, doi:10.1002/2015RG000511.
Mann, G, S. Dhomse, A. Schmidt, R. Neely, C. Timmreck T. Deshler, L. Thomason,(2015) Realistic global particle size evolution key to improved volcanic forcings , Past Global Changes Magazine, 23, 2, 52-53.
Timmreck, C., Mann, G. W., Aquila, V., Hommel, R., Lee, L. A., Schmidt, A., Brühl, C., Carn, S., Chin, M., Dhomse, S. S., Diehl, T., English, J. M., Mills, M. J., Neely, R., Sheng, J., Toohey, M., and Weisenstein, D.: The Interactive Stratospheric Aerosol Model Intercomparison Project (ISA-MIP): motivation and experimental design, Geosci. Model Dev., 11, 2581-2608, https://doi.org/10.5194/gmd-11-2581-2018, 2018.
DOI: 10.5194/acp-2020-883,
Clyne, M., Lamarque, J.-F., Mills, M. J., Khodri, M., Ball, W., Bekki, S., Dhomse, S. S., Lebas, N., Mann, G., Marshall, L., Niemeier, U., Poulain, V., Robock, A., Rozanov, E., Schmidt, A., Stenke, A., Sukhodolov, T., Timmreck, C., Toohey, M., Tummon, F., Zanchettin, D., Zhu, Y., and Toon, O. B.: Model physics and chemistry causing intermodel disagreement within the VolMIP-Tambora Interactive Stratospheric Aerosol ensemble, Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2020-883, in review, 2020.
DOI: 10.5194/acp-2022-514,
Quaglia, I., Timmreck, C., Niemeier, U., Visioni, D., Pitari, G., Brühl, C., Dhomse, S., Franke, H., Laakso, A., Mann, G., Rozanov, E., and Sukhodolov, T.: Interactive Stratospheric Aerosol models response to different amount and altitude of SO2 injections during the 1991 Pinatubo eruption, Atmos. Chem. Phys. Discuss. [preprint], https://doi.org/10.5194/acp-2022-514, in review, 2022.
DOI: doi.org/10.5194/acp-23-921-2023,
Quaglia, I., Timmreck, C., Niemeier, U., Visioni, D., Pitari, G., Brodowsky, C., Brühl, C., Dhomse, S. S., Franke, H., Laakso, A., Mann, G. W., Rozanov, E., and Sukhodolov, T.: Interactive stratospheric aerosol models' response to different amounts and altitudes of SO2 injection during the 1991 Pinatubo eruption, Atmos. Chem. Phys., 23, 921–948, https://doi.org/10.5194/acp-23-921-2023, 2023
DOI: doi.org/10.5194/acp-21-3317-2021,
Clyne, M., Lamarque, J.-F., Mills, M. J., Khodri, M., Ball, W., Bekki, S., Dhomse, S. S., Lebas, N., Mann, G., Marshall, L., Niemeier, U., Poulain, V., Robock, A., Rozanov, E., Schmidt, A., Stenke, A., Sukhodolov, T., Timmreck, C., Toohey, M., Tummon, F., Zanchettin, D., Zhu, Y., and Toon, O. B.: Model physics and chemistry causing intermodel disagreement within the VolMIP-Tambora Interactive Stratospheric Aerosol ensemble, Atmos. Chem. Phys., 21, 3317–3343, https://doi.org/10.5194/acp-21-3317-2021, 2021.
DOI: 10.5194/egusphere-2023-1655,,
Brodowsky, C. V., Sukhodolov, T., Chiodo, G., Aquila, V., Bekki, S., Dhomse, S. S., Laakso, A., Mann, G. W., Niemeier, U., Quaglia, I., Rozanov, E., Schmidt, A., Sekiya, T., Tilmes, S., Timmreck, C., Vattioni, S., Visioni, D., Yu, P., Zhu, Y., and Peter, T.: Analysis of the global atmospheric background sulfur budget in a multi-model framework, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2023-1655, 2023.
884: Dynamical downscaling in CORDEX-East Asia using the high resolution Regional Climate Model COSMO-CLM
Huang B, Polanski S and Cubasch U (2015) Assessment of precipitation climatology in an ensemble of CORDEX-East Asia regional climate simulations. Clim Res 64: 141–158
Huang B, Cubasch U and Kadow K (2016) Assessment of model performance on seasonal prediction of East Asian Summer monsoon in CMIP5. Under review
Chi X, Cubasch U (2017) The effect of Climate Change on the thermal comfort in the Tibetan Plateau region based on COSMO-CLM climate model projections. In preparing
883: Modelling of Saharan mineral dust
Heinold, B., Schepanski, K., Tegen, I., and J. R. Banks, New developments in the representation of Saharan dust sources in the aerosol-climate model ECHAM6-HAM2, Geosci. Model Dev. Discuss., 8, doi:10.5194/gmdd-8-7879-2015, 2015.
Heinold, B., Tegen, I., Schepanski, K., and Banks, J. R.: New developments in the representation of Saharan dust sources in the aerosol–climate model ECHAM6-HAM2, Geosci. Model Dev., 9, 765-777, doi:10.5194/gmd-9-765-2016, 2016.
DOI: 10.5194/acp-22-9969-2022,
Heinold, B., Baars, H., Barja, B., Christensen, M., Kubin, A., Ohneiser, K., Schepanski, K., Schutgens, N., Senf, F., Schrödner, R., Villanueva, D., and Tegen, I.: Important role of stratospheric injection height for the distribution and radiative forcing of smoke aerosol from the 2019–2020 Australian wildfires, Atmos. Chem. Phys., 22, 9969–9985, https://doi.org/10.5194/acp-22-9969-2022, 2022.
882: CESM1 (Community Earth System Model) as a new MESSy basemodel: Evaluation and further development
Baumgaertner, A. J. G., Jöckel, P., Kerkweg, A., Sander, R., and Tost, H.: Implementation of the Community Earth System Model (CESM) version 1.2.1 as a new base model into version 2.50 of the MESSy framework, Geosci. Model Dev., 9, 125-135, doi:10.5194/gmd-9-125-2016, 2016
Baumgaertner, A. J. G.: Comparison of CESM1/MESSy and ECHAM5/MESSy (EMAC), doi:10.5281/zenodo.18846, 2015
Baumgaertner, A. J. G., Jöckel, P., Kerkweg, A., Sander, R., and Tost, H.: Implementation of the Community Earth System Model (CESM1, version 1.2.1) as a new basemodel into version 2.50 of the MESSy framework, Geosci. Model Dev. Discuss., 8, 6523-6550, doi:10.5194/gmdd-8-6523-2015, 2015
876: Comparing land, ocean, and atmosphere based climate engineering measures with MPI-ESM simulations
Ferrer González, M., and T. Ilyina (2016), Impacts of artificial ocean alkalinization in the Earth system, Geophysical Research Letters, 43(12), 6493–6502, doi:10.1002/2016GL068576.
Sonntag, S., J. Pongratz, C. H. Reick, and H. Schmidt (2016), Reforestation in a high-CO2 world – Higher mitigation potential than expected, lower adaptation potential than hoped for, Geophysical Research Letters, 43(12), 6546–6553, doi: 10.1002/2016GL068824.
Ferrer-Gonzalez, M. and Ilyina, T. (2015), Mitigation Potential, Risks, and Side-Effects of Ocean Alkalinity Enhancement. Nova Acta Leopoldina NF, 121 (No. 408 - Deglacial Changes in Ocean Dynamics and Atmospheric CO2), pp. 275–278.
Ferrer González, M. (2017), Climate engineering by enhancement of ocean alkalinity: impacts on the Earth system and a comparison with solar radiation management, PhD Thesis, Universität Hamburg, Hamburg. doi:10.17617/2.2472753.
Mayer, D. (2017), Potentials and side-effects of herbaceous biomass plantations for climate change mitigation, PhD Thesis, Universität Hamburg, Hamburg. doi:10.17617/2.2479582.
González, M., T. Ilyina, S. Sonntag, and H. Schmidt (2018), Enhanced rates of regional warming and ocean acidification after termination of large-scale ocean alkalinization, Geophysical Research Letters, 45, doi:10.1029/2018GL077847.
Sonntag, S., M. F. González, T. Ilyina, D. Kracher, J. E. M. S. Nabel, U. Niemeier, J. Pongratz, C. H. Reick, and H. Schmidt (2018), Quantifying and comparing effects of climate engineering methods on the Earth system, Earth’s Future, 6(2), 149-168, doi:10.1002/2017EF000620.
Wu, D., Ciais, P., Viovy, N., Knapp, A. K., Wilcox, K., Bahn, M., Smith, M. D., Vicca, S., Fatichi, S., Zscheischler, J., He, Y., Li, X., Ito, A., Arneth, A., Harper, A., Ukkola, A., Paschalis, A., Poulter, B., Peng, C., Ricciuto, D., Reinthaler, D., Chen, G., Tian, H., Genet, H., Mao, J., Ingrisch, J., Nabel, J. E. S. M., Pongratz, J., Boysen, L. R., Kautz, M., Schmitt, M., Meir, P., Zhu, Q., Hasibeder, R., Sippel, S., Dangal, S. R. S., Sitch, S., Shi, X., Wang, Y., Luo, Y., Liu, Y., and Piao, S.: Asymmetric responses of primary productivity to altered precipitation simulated by ecosystem models across three long-term grassland sites, Biogeosciences, 15, 3421-3437, https://doi.org/10.5194/bg-15-3421-2018, 2018.
Fröb, F., Sonntag, S., Pongratz, J., Schmidt, H., & Ilyina, T. (2020). Detectability of artificial ocean alkalinization and stratospheric aerosol injection in MPI-ESM. Earth's Future, 8, e2020EF001634. https://doi.org/10.1029/2020EF001634
873: Working group on seasonal prediction
Baehr, J.; Fröhlich, K.; Botzet, M.; Domeisen, D.I.V.; Kornblueh, L.; Notz, D.; Piontek, R.; Pohlmann, H.; Tietsche, S.; Müller, W.A.. “The prediction of surface temperature in the new seasonal prediction system based on the MPI-ESM coupled climate model”. Climate Dynamics 44 (9-10). (2015): S. 2723-2735. doi: 10.1007/s00382-014-2399-7
Bunzel, F.; Notz, D.; Baehr, J.; Müller, W.A.; Fröhlich, K.. “Seasonal climate forecasts significantly affected by observational uncertainty of Arctic sea ice concentration”. Geophysical Research Letters 43 (2). (2016): S. 852-859. doi: 10.1002/2015GL066928
Butler, A.H.; Arribas, A.; Athanassiadou, M.; Baehr, J.; Calvo, N.; Charlton-Perez, A.; Déqué, M.; Domeisen, D.I.V.; Fröhlich, K.; Hendon, H.; Imada, Y.; Ishii, M.; Iza, M.; Karpechko, A.Y.; Kumar, A.; MacLachlan, C.; Merryfield, W.J.; Müller, W.A.; O'Neill, A.; Scaife, A.A.; Scinocca, J.; Sigmond, M.; Stockdale, T.N.; Yasuda, T.. “The Climate-system Historical Forecast Project: do stratosphere-resolving models make better seasonal climate predictions in boreal winter?”. Quarterly Journal of the Royal Meteorological Society 142 (696). (2016): S. 1413-1427. doi: 10.1002/qj.2743
Domeisen, D.I.V.; Butler, A.H.; Fröhlich, K.; Bittner, M.; Müller, W.A.; Baehr, J.. “Seasonal Predictability over Europe Arising from El Niño and Stratospheric Variability in the MPI-ESM Seasonal Prediction System ”. Journal of Climate 28. (2015): S. 256-271. doi: 10.1175/JCLI-D-14-00207.1
Baehr, J., Fröhlich, K., Botzet, M., Domeisen, D., Kornblueh, L., Notz, D., Piontek, R., Pohlmann, H., Tietsche, S., & Mueller, W. A. (2014). The prediction of surface temperature in the new seasonal prediction system based on the MPIESM coupled climate model. doi:10.1007/s00382-014-2399-7.
Domeisen, D., Butler, A., Fröhlich, K., Bittner, M., Mueller, W. A., & Baehr, J. (2015). Seasonal predictability over Europe arising from El Niño and stratospheric variability in the MPI-ESM seasonal prediction system. Journal of Climate, 28, 256-271. doi:10.1175/JCLI-D-14-00207.1.
867: Suitability of the ocean observing system components for initialization
Park, T., Park, W. and Latif, M., Impact of North Atlantic Surface Salinity Bias on the Atlantic Meridional Overturning Circulation and Atlantic Multidecadal Variability in the Kiel Climate Model. Submitted to Climate Dynamics.
Park, T., Park, W. and Latif, M., Impact of North Atlantic Surface Salinity Bias on the Atlantic Meridional Overturning Circulation and Atlantic Multidecadal Variability in the Kiel Climate Model. Submitted to Climate Dynamics.
Kloewer, M., Latif, M., Ding, H., Greatbatch, R.J. and Park, W. (2013) Atlantic Meridional Overturning Circulation and Prediction of North Atlantic Sea Surface Temperature. In preparation.
Martin, T., Park, W. and Latif, M. (2013) Southern Ocean Forcing of the Atlantic Meridional Overturning Circulation and North Atlantic Sea Level at Multi-centennial Timescales in the Kiel Climate Model. Deep Sea Reaserch. Submitted.
Park, T., W. Park, and M. Latif (2016), Correcting North Atlantic sea surface salinity biases in the Kiel Climate Model: influences on ocean circulation and Atlantic Multidecadal Variability, Clim Dyn, 1–18, doi:10.1007/s00382-016-2982-1.
863: Past4Future: Climate change - Learning from the past climate
Brücher, T. and Brovkin, V., 2013: Land biosphere dynamics during the present and the last interglacials. PAGES news, 21, 20-21.
859: Regional Decadal Predictability
S. Mieruch et al., 2015: Decadal prediction of the Effective Drought Index (EDI) for the European continent from 1961 to 2010 -- sensitivity to simulation setup, Journal of Applied Meteorology and Climatology, submitted.
Mieruch, S., H. Feldmann, G. Schädler, C. J. Lenz, S. Kothe, and Ch. Kottmeier, 2014: The Regional MiKlip Decadal Forecast Ensemble for Europe: the Added Value of Downscaling., Geosci. Model Dev., 7(6), 2983-2999, doi:10.5194/gmd-7-2983-2014.
856: IRO-2
Reference List with HAMSOM Applications (2011-2013)
855: CISKA-SPICE III
Reference List with HAMSOM Applications (2011-2013)
The attached reference list
854: Erdsystemmodellevaluierung (DLR-Institut für Physik der Atmosphäre)
Righi, M., Eyring, V., Gottschaldt, K. D., Klinger, C., Frank, F., Jöckel, P., and Cionni, I.: Quantitative evaluation of ozone and selected climate parameters in a set of EMAC simulations, Geosci. Model Dev., 8, 733-768, 2015.
Fiore, A. M., Naik, V., Spracklen, D. V., Steiner, A., Unger, N., Prather, M., Bergmann, D., Cameron- Smith, P. J., Cionni, I., Collins, W. J., Dalsoren, S., Eyring, V., Folberth, G. A., Ginoux, P., Horowitz, L. W., Josse, B., Lamarque, J.-F., MacKenzie, I. A., Nagashima, T., O'Connor, F. M., Righi, M., Rumbold, S. T., Shindell, D. T., Skeie, R. B., Sudo, K., Szopa, S., Takemura, T., and Zeng, G., Global air quality and climate, Chem. Soc. Rev., DOI: 10.1039/C2CS35095E, 2012.
Lamarque, J.-F., D. T. Shindell, B. Josse, P. J. Young, I. Cionni, V. Eyring, D. Bergmann, P. Cameron- Smith, W. J. Collins, R. Doherty, S. Dalsoren, G. Faluvegi, G. Folberth, S. J. Ghan, L. W. Horowitz, Y. H. Lee, I. A. MacKenzie, T. Nagashima, V. Naik, D. Plummer, M. Righi, S. T. Rumbold, M. Schulz, R. B. Skeie, D. S. Stevenson, S. Strode, K. Sudo, S. Szopa, A. Voulgarakis, and G. Zeng, The Atmospheric Chemistry and Climate Model Intercomparison Project (ACCMIP): overview and description of models, simulations and climate diagnostics, Geosci. Model Dev., 6, 179-206, doi:10.5194/gmd-6-179-2013, 2013.
Naik, V., A. Voulgarakis, A. M. Fiore, L. W. Horowitz, J.-F. Lamarque, M. Lin, M. J. Prather, P. J. Young, D. Bergmann, P. J. Cameron-Smith, I. Cionni, W. J. Collins, S. B. Dalsøren, R. Doherty, V. Eyring, G. Faluvegi, G. A. Folberth, B. Josse, Y. H. Lee, I. A. MacKenzie, T. Nagashima, T. P. C. van Noije, D. A. Plummer, M. Righi, S. T. Rumbold, R. Skeie, D. T. Shindell, D. S. Stevenson, S. Strode, K. Sudo, S. Szopa, and G. Zeng, Preindustrial to present-day changes in tropospheric hydroxyl radical and methane lifetime from the Atmospheric Chemistry and Climate Model Intercomparison Project (ACCMIP), Atmos. Chem. Phys., 13, 5277-5298, doi:10.5194/acp-13-5277-2013, 2013.
Silva, R. A., J. J. West, Y. Zhang, S. C. Anenberg, J.-F. Lamarque, D. T. Shindell, W. J. Collins, S. Dalsoren, G. Faluvegi, G. Folberth, L. W. Horowitz, T. Nagashima, V. Naik, S. Rumbold, R. Skeie, K. Sudo, T. Takemura, D. Bergmann, P. Cameron-Smith, I. Cionni, R. M. Doherty, V. Eyring, B. Josse, I. A. MacKenzie, D. Plummer, M. Righi, D. S. Stevenson, S. Strode, S. Szopa, and G. Zeng, Global premature mortality due to anthropogenic outdoor air pollution and the contribution of past climate change, Environ. Res. Lett., 8 034005, doi:10.1088/1748-9326/8/3/034005, 2013.
Stevenson, D. S., P. J. Young, V. Naik, J.-F. Lamarque, D. T. Shindell, A. Voulgarakis, R. B. Skeie, S. B. Dalsoren, G. Myhre, T. K. Berntsen, G. A. Folberth, S. T. Rumbold, W. J. Collins, I. A. MacKenzie, R. M. Doherty, G. Zeng, T. P. C. van Noije, A. Strunk, D. Bergmann, P. Cameron-Smith, D. A. Plummer, S. A. Strode, L. Horowitz, Y. H. Lee, S. Szopa, K. Sudo, T. Nagashima, B. Josse, I. Cionni, M. Righi, V. Eyring, A. Conley, K. W. Bowman, O. Wild, and A. Archibald, Tropospheric ozone changes, radiative forcing and attribution to emissions in the Atmospheric Chemistry and Climate Model Intercomparison Project (ACCMIP), Atmos. Chem. Phys., 13, 3063-3085, doi:10.5194/acp-13-3063-2013, 2013.
Voulgarakis, A., V. Naik, J.-F. Lamarque, D. T. Shindell, P. J. Young, M. J. Prather, O. Wild, R. D. Field, D. Bergmann, P. Cameron-Smith, I. Cionni, W. J. Collins, S. B. Dalsøren, R. M. Doherty, V. Eyring, G. Faluvegi, G. A. Folberth, L. W. Horowitz, B. Josse, I. A. MacKenzie, T. Nagashima, D. A. Plummer, M. Righi, S. T. Rumbold, D. S. Stevenson, S. A. Strode, K. Sudo, S. Szopa, and G. Zeng, Analysis of present day and future OH and methane lifetime in the ACCMIP simulations, Atmos. Chem. Phys., 13, 2563-2587, doi:10.5194/acp-13-2563-2013, 2013.
Young, P. J., A. T. Archibald, K. W. Bowman, J.-F. Lamarque, V. Naik, D. S. Stevenson, S. Tilmes, A. Voulgarakis, O. Wild, D. Bergmann, P. Cameron-Smith, I. Cionni, W. J. Collins, S. B. Dalsøren, R. M. Doherty, V. Eyring, G. Faluvegi, L. W. Horowitz, B. Josse, Y. H. Lee, I. A. MacKenzie, T. Nagashima, D. A. Plummer, M. Righi, S. T. Rumbold, R. B. Skeie, D. T. Shindell, S. A. Strode, K. Sudo, S. Szopa, and G. Zeng, Pre-industrial to end 21st century projections of tropospheric ozone from the Atmospheric Chemistry and Climate Model Intercomparison Project (ACCMIP), Atmos. Chem. Phys., 13, 2063-2090, doi:10.5194/acp-13-2063-2013, 2013.
Gottschaldt, K.-D., Schlager, H., Baumann, R., Bozem, H., Eyring, V., Hoor, P., Jöckel, P., Jurkat, T., Voigt, C., Zahn, A., and Ziereis, H.: Trace gas composition in the Asian summer monsoon anticyclone: a case study based on aircraft observations and model simulations, Atmos. Chem. Phys., 17, 6091-6111, doi: 10.5194/acp-17-6091-2017, 2017a.
Gottschaldt, K.-D., Schlager, H., Baumann, R., Cai, D. S., Eyring, V., Graf, P., Grewe, V., Jöckel, P., Jurkat, T., Voigt, C., Zahn, A., and Ziereis, H.: Dynamics and composition of the Asian summer monsoon anticyclone, Atmos. Chem. Phys. Discuss., doi: 10.5194/acp-2017-420, in review, 2017b.
Gottschaldt, K.-D., Schlager, H., Baumann, R., Cai, D.S., Eyring, V., Graf, P., Grewe, V., Jöckel, P., Jurkat, T., Voigt, C., Zahn, A., Ziereis, H. (2018), Dynamics and composition of the Asian summer monsoon anticyclone, Atmos. Chem. Phys., 5655-5675, doi: 10.5194/acp-18-5655-2018.
DOI: 10.1029/2019JD032321,
Bock, L., A. Lauer, M. Schlund, M. Barreiro, N. Bellouin, C. Jones, G.A. Meehl, V. Predoi, M.J. Roberts, V. Eyring: Quantifying progress across different CMIP phases with the ESMValTool, J. Geophys. Res. (accepted)
DOI: 10.5194/gmd-2020-244,
Weigel, K. L. Bock, B.K. Gier, A. Lauer, M. Righi, M. Schlund, K. Adeniyi, B. Andela, E. Arnone, P. Berg, L.-P. Caron, I. Cionni, S. Corti, N. Drost, A. Hunter, L. Lledó, C. Wilhelm Mohr, A. Paçal, N. Pérez-Zanón, V. Predoi, M. Sandstad, J. Sillmann, A. Sterl, J. Vegas-Regidor, J. von Hardenberg, V. Eyring: Earth System Model Evaluation Tool (ESMValTool) v2.0 - diagnostics for extreme events, regional model and impact evaluation and analysis of Earth system models in CMIP, Geosci. Model Dev. Discuss., doi: 10.5194/gmd-2020-244, 2020 (in review).
DOI: 10.5194/gmd-13-3383-2020,
Eyring, V., L. Bock, A. Lauer, M. Righi, M. Schlund, B. Andela, E. Arnone, O. Bellprat, B. Brötz, L.-P. Caron, N. Carvalhais, I. Cionni, N. Cortesi, B. Crezee, E. Davin, P. Davini, K. Debeire, L. de Mora, C. Deser, D. Docquier, P. Earnshaw, C. Ehbrecht, B.K. Gier, N. Gonzalez-Reviriego, P. Goodman, S. Hagemann, S. Hardiman, B. Hassler, A. Hunter, C. Kadow, S. Kindermann, S. Koirala, N. Koldunov, Q. Lejeune, V. Lembo, T. Lovato, V. Lucarini, F. Massonnet, B. Müller, A. Pandde, N. Pérez-Zanón, A. Phillips, V. Predoi, J. Russell, A. Sellar, F. Serva, T. Stacke, R. Swaminathan, V. Torralba, J. Vegas-Regidor, J. von Hardenberg, K. Weigel, K. Zimmermann: Earth System Model Evaluation Tool (ESMValTool) v2.0 - an extended set of large-scale diagnostics for quasi-operational and comprehensive evaluation of Earth system models in CMIP, Geosci. Model Dev., 13, 3383-3438, doi: 10.5194/gmd-13-3383-2020, 2020.
DOI: 10.5194/gmd-13-4205-2020,
Lauer, A., V. Eyring, O. Bellprat, L. Bock, L., B.K. Gier, A. Hunter, R. Lorenz, N. Pérez-Zanón, M. Righi, M. Schlund, D. Senftleben, K. Weigel, K., S. Zechlau: Earth System Model Evaluation Tool (ESMValTool) v2.0 - diagnostics for emergent constraints and future projections from Earth system models in CMIP, Geosci. Model. Dev., 13, 4205-4228, doi: 10.5194/gmd-13-4205-2020, 2020.
DOI: 10.5194/gmd-13-1179-2020,
Righi, M., B. Andela, V. Eyring, A. Lauer, V. Predoi, M. Schlund, J. Vegas-Regidor, L. Bock, B. Brötz, L. de Mora, F. Diblen, L. Dreyer, N. Drost, P. Earnshaw, B. Hassler, N. Koldunov, B. Little, S. Loosveldt Tomas, K. Zimmermann: Earth System Model Evaluation Tool (ESMValTool) v2.0 - technical overview, Geosci. Model Dev., 13, 1179-1199, doi: 10.5194/gmd-13-1179-2020, 2020.
DOI: 10.5194/gmd-14-3159-2021,
Weigel, K., Bock, L., Gier, B. K., Lauer, A., Righi, M., Schlund, M., Adeniyi, K., Andela, B., Arnone, E., Berg, P., Caron, L.-P., Cionni, I., Corti, S., Drost, N., Hunter, A., Lledó, L., Mohr, W. C., Paçal, A., Pérez-Zanón, N., Predoi, V., Sandstad, M., Sillmann, J., Sterl, A., Vegas-Regidor, J., von Hardenberg, J., and Eyring, V.: Earth System Model Evaluation Tool (ESMValTool) v2.0 - diagnostics for extreme events, regional and impact evaluation, and analysis of Earth system models in CMIP, Geosci. Model Dev., 14, 3159-3184, doi: 10.5194/gmd-14-3159-2021, 2021.
DOI: 10.5194/esd-11-1233-2020,
Schlund, M., Lauer, A., Gentine, P., Sherwood, S. C., and Eyring, V.: Emergent constraints on Equilibrium Climate Sensitivity in CMIP5: do they hold for CMIP6?, Earth Syst. Dynam., 11, 1233-1258, doi: 10.5194/esd-11-1233-2020, 2020.
DOI: 10.5194/bg-17-6115-2020,
Gier, B. K., Buchwitz, M., Reuter, M., Cox, P. M., Friedlingstein, P., and Eyring, V.: Spatially resolved evaluation of Earth system models with satellite column-averaged CO2, Biogeosciences, 17, 6115–6144, https://doi.org/10.5194/bg-17-6115-2020, 2020.
DOI: 10.5194/esd-12-253-2021,
Tebaldi, C., Debeire, K., Eyring, V., Fischer, E., Fyfe, J., Friedlingstein, P., Knutti, R., Lowe, J., O'Neill, B., Sanderson, B., van Vuuren, D., Riahi, K., Meinshausen, M., Nicholls, Z., Tokarska, K.B., Hurtt, G., Kriegler, E., Lamarque, J., Meehl, G., Moss, R., Bauer, S.E., Boucher, O., Brovkin, V., Byun, Y., Dix, M., Gualdi, S., Guo, H., John, J.G., Kharin, S., Kim, Y., Koshiro, T., Ma, L., Olivié, D., Panickal, S., Qiao, F., Rong, X., Rosenbloom, N., Schupfner, M., Séférian, R., Sellar, A., Semmler, T., Shi, X., Song, Z., Steger, C., Stouffer, R., Swart, N., Tachiiri, K., Tang, Q., Tatebe, Q., Voldoire, A., Volodin, E., Wyser, K., Xin, X., Yang, S., Yu, Y., and Ziehn, T.: Climate model projections from the Scenario Model Intercomparison Project (ScenarioMIP) of CMIP6, Earth Syst. Dynam., 12, 253-293, doi: 10.5194/esd-12-253-2021, 2021.
DOI: 10.1029/2019JD032321,
Bock, L., A. Lauer, M. Schlund, M. Barreiro, N. Bellouin, C. Jones, G.A. Meehl, V. Predoi, M.J. Roberts, V. Eyring: Quantifying progress across different CMIP phases with the ESMValTool, J. Geophys. Res. (accepted)
Lauer, A., Bock, L., Hassler, B., Schröder, M., Stengel, M.: Cloud climatologies from global climate models - a comparison of CMIP5 and CMIP6 models with satellite data, Journal of Climate (accepted).
DOI: 10.5194/gmd-2022-205,
Schlund, M., Hassler, B., Lauer, A., Andela, B., Jöckel, P., Kazeroni, R., Loosveldt Tomas, S., Medeiros, B., Predoi, V., Sénési, S., Servonnat, J., Stacke, T., Vegas-Regidor, J., Zimmermann, K., and Eyring, V., Evaluation of Native Earth System Model Output with ESMValTool v2.6.0, Geosci. Model Dev. Discuss. [preprint], https://doi.org/10.5194/gmd-2022-205, in review, 2022.
DOI: 10.3390/atmos12111462,
Hassler, B., and Lauer, A.: Comparison of Reanalysis and Observational Precipitation Datasets Including ERA5 and WFDE5, Atmosphere, 12(11), 1462, doi: 10.3390/atmos12111462, 2021.
DOI: 10.5194/gmd-16-315-2023,
Schlund, Manuel, Birgit Hassler, Axel Lauer, Bouwe Andela, Patrick Joeckel, Saskia Loosveldt Tomas, Rémi Kazeroni et al. "Evaluation of Native Earth System Model Output with ESMValTool." In AGU Fall Meeting Abstracts, vol. 2022, pp. GC42L-0856. 2022. https://doi.org/10.5194/gmd-16-315-2023
DOI: 10.1175/JCLI-D-22-0181.1,
Lauer, A., L. Bock, B. Hassler, M. Schröder, and M. Stengel, 2022: Cloud Climatologies from Global Climate Models—A Comparison of CMIP5 and CMIP6 Models with Satellite Data. J. Climate, 36, 281–311, https://doi.org/10.1175/JCLI-D-22-0181.1.
853: Earth System Chemistry Integrated Modelling (ESCIMo)
Jöckel, P., Tost, H., Pozzer, A., Kunze, M., Kirner, O., Brenninkmeijer, C. A. M., Brinkop, S., Cai, D. S., Dyroff, C., Eckstein, J., Frank, F., Garny, H., Gottschaldt, K.-D., Graf, P., Grewe, V., Kerkweg, A., Kern, B., Matthes, S., Mertens, M., Meul, S., Neumaier, M., Nützel, M., Oberländer-Hayn, S., Ruhnke, R., Runde, T., Sander, R., Scharffe, D., Zahn, A.: Earth System Chemistry integrated Modelling (ESCiMo) with the Modular Earth Submodel System (MESSy) version 2.51, Geoscientific Model Development, 9, 1153–1200, doi: 10.5194/gmd-9-1153-2016, URL http://www.geosci-model-dev.net/9/1153/2016/ (2016)
Löffler, M., Brinkop, S., & Jöckel, P.: Impact of major volcanic eruptions on stratospheric water vapour, Atmospheric Chemistry and Physics, 16, 6547–6562, doi: 10.5194/acp-16-6547-2016, URL http://www.atmos-chem-phys.net/16/6547/2016/ (2016)
Brinkop, S., Dameris, M., Jöckel, P., Garny, H., Lossow, S., & Stiller, G.: The millennium water vapour drop in chemistry - climate model simulations, Atmospheric Chemistry and Physics, 16, 8125–8140, doi: 10.5194/acp-16-8125-2016, URL http://www.atmos-chem-phys.net/16/8125/2016/ (2016)
Beirle, S., Hörmann, C., Jöckel, P., Liu, S., Penning de Vries, M., Pozzer, A., Sihler, H., Valks, P., & Wagner, T.: The STRatospheric Estimation Algorithm from Mainz (STREAM): estimating stratospheric NO2 from nadir-viewing satellites by weighted convolution, Atmospheric Measurement Techniques, 9, 2753–2779, doi: 10.5194/amt-9-2753-2016, URL http://www.atmos-meas-tech.net/9/2753/2016/ (2016)
M. Löffler, Impact of Major Volcanic Eruptions on, Stratospheric Water Vapor – Analysis of Chemistry- Climate Model Simulations, Master Thesis, Umwelttechnologie, Fakultät Maschinenbau/Umwelttechnik, Ostbayerische Technische Hochschule Amberg-Weiden (2015)
M. Dreusicke, Analyse des Hydrologischen Zyklus in Chemie-Klima Modell Simulationen (Analysis of the hydrological cycle in chemistry-climate model simulations), Masterarbeit, Department für Geographie, Umweltsysteme und Nachhaltigkeit, Monitoring, Modellierung und Management, Ludwig-Maximilians-Universität München (2015)
Anderson, D. C., Nicely, J. M., Wolfe, G. M., Hanisco, T. F., Salawitch, R. J., Canty, T. P., Dickerson, R. R., Apel, E. C., Baidar, S., Bannan, T. J., Blake, N. J., Chen, D., Dix, B., Fernandez, R. P., Hall, S. R., Hornbrook, R. S., Gregory Huey, L., Josse, B., Jckel, P., Kinnison, D. E., Koenig, T. K., LeBreton, M., Marcal, V., Morgenstern, O., Oman, L. D., Pan, L. L., Percival, C., Plummer, D., Revell, L. E., Rozanov, E., Saiz-Lopez, A., Stenke, A., Sudo, K., Tilmes, S., Ullmann, K., Volkamer, R., Weinheimer, A. J., & Zeng, G.: Formaldehyde in the Tropical Western Pacific: Chemical sources and sinks, convective transport, and representation in CAM-Chem and the CCMI models, Journal of Geophysical Research: Atmospheres, pp. n/a–n/a, doi: 10.1002/2016JD026121, URL http://dx.doi.org/10.1002/2016JD026121, 2016JD026121 (2017)
Lossow, S., Garny, H., & Jöckel, P.: An “island” in the stratosphere – on the enhanced annual variation of water vapour in the middle and upper stratosphere in the southern tropics and subtropics, Atmospheric Chemistry and Physics, 17, 11 521–11 539, doi: 10.5194/acp-17-11521-2017, URL https://www.atmos-chem-phys.net/17/11521/2017/ (2017)
Falk, S., Sinnhuber, B.-M., Krysztofiak, G., Jöckel, P., Graf, P., & Lennartz, S. T.: Brominated VSLS and their influence on ozone under a changing climate, Atmospheric Chemistry and Physics, 17, 11 313–11 329, doi: 10.5194/acp-17-11313-2017, URL https://www.atmos-chem-phys.net/17/11313/2017/ (2017)
Dietmüller, S., Garny, H., Plöger, F., Jöckel, P., & Cai, D.: Effects of mixing on resolved and unresolved scales on stratospheric age of air, Atmospheric Chemistry and Physics, 17, 7703–7719, doi: 10.5194/acp-17-7703-2017, URL https://www.atmos-chem-phys.net/17/7703/2017/ (2017)
Ojha, N., Pozzer, A., Akritidis, D., & Lelieveld, J.: Secondary ozone peaks in the troposphere over the Himalayas, Atmospheric Chemistry and Physics, 17, 6743–6757, doi: 10.5194/acp-17-6743-2017, URL http://www.atmos-chem-phys.net/17/6743/2017/ (2017)
Gottschaldt, K.-D., Schlager, H., Baumann, R., Bozem, H., Eyring, V., Hoor, P., Jöckel, P., Jurkat, T., Voigt, C., Zahn, A., & Ziereis, H.: Trace gas composition in the Asian summer monsoon anticyclone: a case study based on aircraft observations and model simulations, Atmospheric Chemistry and Physics, 17, 6091–6111, doi: 10.5194/acp-17-6091-2017, URL http://www.atmos-chem-phys.net/17/6091/2017/ (2017)
Ostermöller, J., Bönisch, H., Jöckel, P., & Engel, A.: A new time-independent formulation of fractional release, Atmospheric Chemistry and Physics, 17, 3785–3797, doi: 10.5194/acp-17-3785-2017, URL http://www.atmos-chem-phys.net/17/3785/2017/ (2017)
Lennartz, S. T., Marandino, C. A., von Hobe, M., Cortes, P., Quack, B., Simo, R., Booge, D., Pozzer, A., Steinhoff, T., Arevalo-Martinez, D. L., Kloss, C., Bracher, A., Röttgers, R., Atlas, E., & Krüger, K.: Direct oceanic emissions unlikely to account for the missing source of atmospheric carbonyl sulfide, Atmospheric Chemistry and Physics, 17, 385–402, doi: 10.5194/acp-17-385-2017, URL http://www.atmos-chem-phys.net/17/385/2017/ (2017)
Eckstein, J., Ruhnke, R., Zahn, A., Neumaier, M., Kirner, O., & Braesicke, P.: An assessment of the climatological representativeness of IAGOS-CARIBIC trace gas measurements using EMAC model simulations, Atmospheric Chemistry and Physics, 17, 2775–2794, doi: 10.5194/acp-17-2775-2017, URL http://www.atmos-chem-phys.net/17/2775/2017/ (2017)
Morgenstern, O., Hegglin, M. I., Rozanov, E., O’Connor, F. M., Abraham, N. L., Akiyoshi, H., Archibald, A. T., Bekki, S., Butchart, N., Chipperfield, M. P., Deushi, M., Dhomse, S. S., Garcia, R. R., Hardiman, S. C., Horowitz, L. W., Jöckel, P., Josse, B., Kinnison, D., Lin, M., Mancini, E., Manyin, M. E., Marchand, M., Marécal, V., Michou, M., Oman, L. D., Pitari, G., Plummer, D. A., Revell, L. E., Saint-Martin, D., Schofield, R., Stenke, A., Stone, K., Sudo, K., Tanaka, T. Y., Tilmes, S., Yamashita, Y., Yoshida, K., & Zeng, G.: Review of the global models used within phase 1 of the Chemistry–Climate Model Initiative (CCMI), Geoscientific Model Development, 10, 639–671, doi: 10.5194/gmd-10-639-2017, URL http://www.geosci-model-dev.net/10/639/2017/ (2017)
Akritidis, D., Pozzer, A., Zanis, P., Tyrlis, E., Škerlak, B., Sprenger, M., & Lelieveld, J.: On the role of tropopause folds in summertime tropospheric ozone over the eastern Mediterranean and the Middle East, Atmospheric Chemistry and Physics, 16, 14 025–14 039, doi: 10.5194/acp-16-14025-2016, URL http://www.atmos-chem-phys.net/16/14025/2016/ (2016)
Bacer, S., Christoudias, T., & Pozzer, A.: Projection of North Atlantic Oscillation and its effect on tracer transport, Atmospheric Chemistry and Physics, 16, 15 581–15 592, doi: 10.5194/acp-16-15581-2016, URL http://www.atmos-chem-phys.net/16/15581/2016/ (2016)
Dietmüller, S., Eichinger, R., Garny, H., Birner, T., Boenisch, H., Pitari, G., Mancini, E., Visioni, D., Stenke, A., Revell, L., Rozanov, E., Plummer, D. A., Scinocca, J., Jöckel, P., Oman, L., Deushi, M., Kiyotaka, S., Kinnison, D. E., Garcia, R., Morgenstern, O., Zeng, G., Stone, K. A., & Schofield, R.: Quantifying the effect of mixing on the mean age of air in CCMVal-2 and CCMI-1 models, Atmospheric Chemistry and Physics, 18, 6699–6720, doi: 10.5194/acp-18-6699-2018, URL https://www.atmos-chem-phys.net/18/6699/2018/ (2018)
Hüneke, T., Aderhold, O.-A., Bounin, J., Dorf, M., Gentry, E., Grossmann, K., Grooß, J.-U., Hoor, P., Jöckel, P., Kenntner, M., Knapp, M., Knecht, M., Lörks, D., Ludmann, S., Matthes, S., Raecke, R., Reichert, M., Weimar, J., Werner, B., Zahn, A., Ziereis, H., & Pfeilsticker, K.: The novel HALO mini-DOAS instrument: inferring trace gas concentrations from airborne UV/visible limb spectroscopy under all skies using the scaling method, Atmospheric Measurement Techniques, 10, 4209– 4234, doi: 10.5194/amt-10-4209-2017, URL https://www.atmos-meas-tech.net/10/4209/2017/ (2017)
Maycock, A. C., Randel, W. J., Steiner, A. K., Karpechko, A. Y., Christy, J., Saunders, R., Thompson, D. W. J., Zou, C.-Z., Chrysanthou, A., Luke Abraham, N., Akiyoshi, H., Archibald, A. T., Butchart, N., Chipperfield, M., Dameris, M., Deushi, M., Dhomse, S., Di Genova, G., Jöckel, P., Kinnison, D. E., Kirner, O., Ladstädter, F., Michou, M., Morgenstern, O., O’Connor, F., Oman, L., Pitari, G., Plummer, D. A., Revell, L. E., Rozanov, E., Stenke, A., Visioni, D., Yamashita, Y., & Zeng, G.: Revisiting the Mystery of Recent Stratospheric Temperature Trends, Geophysical Research Letters, 0, doi: 10.1029/2018GL078035, URL https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2018GL078035 (2018b)
Maycock, A. C., Matthes, K., Tegtmeier, S., Schmidt, H., Thiéblemont, R., Hood, L., Akiyoshi, H., Bekki, S., Deushi, M., Jöckel, P., Kirner, O., Kunze, M., Marchand, M., Marsh, D. R., Michou, M., Plummer, D., Revell, L. E., Rozanov, E., Stenke, A., Yamashita, Y., & Yoshida, K.: The representation of solar cycle signals in stratospheric ozone – Part 2: Analysis of global models, Atmospheric Chemistry and Physics, 18, 11 323–11 343, doi: 10.5194/acp-18-11323-2018, URL https://www.atmos-chem-phys.net/18/11323/2018/ (2018a)
Ayarzagüena, B., Polvani, L. M., Langematz, U., Akiyoshi, H., Bekki, S., Butchart, N., Dameris, M., Deushi, M., Hardiman, S. C., Jöckel, P., Klekociuk, A., Marchand, M., Michou, M., Morgenstern, O., O’Connor, F. M., Oman, L. D., Plummer, D. A., Revell, L., Rozanov, E., Saint-Martin, D., Scinocca, J., Stenke, A., Stone, K., Yamashita, Y., Yoshida, K., & Zeng, G.: No robust evidence of future changes in major stratospheric sudden warmings: a multi-model assessment from CCMI, Atmospheric Chemistry and Physics, 18, 11 277–11 287, doi: 10.5194/acp-18-11277-2018, URL https://www.atmos-chem- phys.net/18/11277/2018/ (2018)
Dhomse, S. S., Kinnison, D., Chipperfield, M. P., Salawitch, R. J., Cionni, I., Hegglin, M. I., Abraham, N. L., Akiyoshi, H., Archibald, A. T., Bednarz, E. M., Bekki, S., Braesicke, P., Butchart, N., Dameris, M., Deushi, M., Frith, S., Hardiman, S. C., Hassler, B., Horowitz, L. W., Hu, R.-M., Jöckel, P., Josse, B., Kirner, O., Kremser, S., Langematz, U., Lewis, J., Marchand, M., Lin, M., Mancini, E., Marécal, V., Michou, M., Morgenstern, O., O’Connor, F. M., Oman, L., Pitari, G., Plummer, D. A., Pyle, J. A., Revell, L. E., Rozanov, E., Schofield, R., Stenke, A., Stone, K., Sudo, K., Tilmes, S., Visioni, D., Yamashita, Y., & Zeng, G.: Estimates of ozone return dates from Chemistry-Climate Model Initiative simulations, Atmospheric Chemistry and Physics, 18, 8409–8438, doi: 10.5194/acp-18-8409-2018, URL https://www.atmos-chem-phys.net/18/8409/2018/ (2018)
Lossow, S., Hurst, D. F., Rosenlof, K. H., Stiller, G. P., von Clarmann, T., Brinkop, S., Dameris, M., Jöckel, P., Kinnison, D. E., Plieninger, J., Plummer, D. A., Ploeger, F., Read, W. G., Remsberg, E. E., Russell, J. M., & Tao, M.: Trend differences in lower stratospheric water vapour between Boulder and the zonal mean and their role in understanding fundamental observational discrepancies, Atmospheric Chemistry and Physics, 18, 8331–8351, doi: 10.5194/acp-18-8331-2018, URL https://www.atmos-chem-phys.net/18/8331/2018/ (2018)
Meul, S., Langematz, U., Kröger, P., Oberländer-Hayn, S., & Jöckel, P.: Future changes in the stratosphere-to-troposphere ozone mass flux and the contribution from climate change and ozone recovery, Atmospheric Chemistry and Physics, 18, 7721–7738, doi: 10.5194/acp-18-7721-2018, URL https://www.atmos-chem-phys.net/18/7721/2018/ (2018)
Wales, P. A., Salawitch, R. J., Nicely, J. M., Anderson, D. C., Canty, T. P., Baidar, S., Dix, B., Koenig, T. K., Volkamer, R., Chen, D., Huey, L. G., Tanner, D. J., Cuevas, C. A., Fernandez, R. P., Kinnison, D. E., Lamarque, J., SaizLopez, A., Atlas, E. L., Hall, S. R., Navarro, M. A., Pan, L. L., Schauffler, S. M., Stell, M., Tilmes, S., Ullmann, K., Weinheimer, A. J., Akiyoshi, H., Chipperfield, M. P., Deushi, M., Dhomse, S. S., Feng, W., Graf, P., Hossaini, R., Jöckel, P., Mancini, E., Michou, M., Morgenstern, O., Oman, L. D., Pitari, G., Plummer, D. A., Revell, L. E., Rozanov, E., SaintMartin, D., Schofield, R., Stenke, A., Stone, K. A., Visioni, D., Yamashita, Y., & Zeng, G.: Stratospheric Injection of Brominated Very ShortLived Substances: Aircraft Observations in the Western Pacific and Representation in Global Models, Journal of Geophysical Research: Atmospheres, 0, doi: 10.1029/2017JD027978, URL https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2017JD027978 (2018)
Orbe, C., Yang, H., Waugh, D. W., Zeng, G., Morgenstern, O., Kinnison, D. E., Lamarque, J.-F., Tilmes, S., Plummer, D. A., Scinocca, J. F., Josse, B., Marecal, V., Jöckel, P., Oman, L. D., Strahan, S. E., Deushi, M., Tanaka, T. Y., Yoshida, K., Akiyoshi, H., Yamashita, Y., Stenke, A., Revell, L., Sukhodolov, T., Rozanov, E., Pitari, G., Visioni, D., Stone, K. A., Schofield, R., & Banerjee, A.: Large-scale tropospheric transport in the Chemistry–Climate Model Initiative (CCMI) simulations, Atmospheric Chemistry and Physics, 18, 7217–7235, doi: 10.5194/acp-18-7217-2018, URL https://www.atmos- chem-phys.net/18/7217/2018/ (2018)
Gottschaldt, K.-D., Schlager, H., Baumann, R., Cai, D. S., Eyring, V., Graf, P., Grewe, V., Jöckel, P., Jurkat-Witschas, T., Voigt, C., Zahn, A., & Ziereis, H.: Dynamics and composition of the Asian summer monsoon anticyclone, Atmospheric Chemistry and Physics, 18, 5655–5675, doi: 10.5194/acp-18-5655-2018, URL https://www.atmos-chem- phys.net/18/5655/2018/ (2018)
Yan, Y., Pozzer, A., Ojha, N., Lin, J., & Lelieveld, J.: Analysis of European ozone trends in the period 1995–2014, Atmospheric Chemistry and Physics, 18, 5589–5605, doi: 10.5194/acp-18-5589-2018, URL https://www.atmos-chem- phys.net/18/5589/2018/ (2018)
Son, S.-W., Han, B.-R., Garfinkel, C., Kim, S.-Y., Park, R., Abraham, N. L., Akiyoshi, H., Archibald, A., Butchart, N., Chipperfield, M., Dameris, M., Deushi, M., Dhomse, S. S., Hardiman, S., Jöckel, P., Kinnison, D., Michou, M., Morgenstern, O., O’Connor, F. M., Oman, L. D., Plummer, D. A., Pozzer, A., Revell, L. E., Rozanov, E., Stenke, A., Stone, K., Tilmes, S., Yamashita, Y., & Zeng, G.: Tropospheric jet response to Antarctic ozone depletion: An update with Chemistry- Climate Model Initiative (CCMI) models, Environmental Research Letters, URL https://doi.org/10.1088/1748-9326/aabf21 (2018)
Engel, A., Bönisch, H., Ostermöller, J., Chipperfield, M. P., Dhomse, S., & Jöckel, P.: A refined method for calculating equivalent effective stratospheric chlorine, Atmospheric Chemistry and Physics, 18, 601–619, doi: 10.5194/acp-18-601- 2018, URL https://www.atmos-chem-phys.net/18/601/2018/ (2018)
Zhang, J., Tian, W., Xie, F., Chipperfield, M. P., Feng, W., Son, S., Abraham, N., Archibald, A. T., Bekki, S., Butchart, N., Deushi, M., Dhomse, S., Han, Y., Jöckel, P., Kinnison, D., Kirner, O., Michou, M., Morgenstern, O., O’Connor, F. M., Pitari, G., Plummer, D. A., Revell, L. E., Rozanov, E., Visioni, D., Wang, W., & Zeng, G.: Stratospheric ozone loss over the Eurasian continent induced by the polar vortex shift, Nature Communications, 9, 206, doi: 10.1038/s41467-017-02565-2, URL https://doi.org/10.1038/s41467-017-02565-2 (2018)
DOI: 10.17874/f899e57a20b,
Petropavlovskikh, I., Godin-Beekmann, S., Hubert, D., Damadeo, R., Hassler, B., & Sofieva, V.: SPARC/IO3C/GAW Report on Long-term Ozone Trends and Uncertainties in the Stratosphere, Tech. rep., doi: 10.17874/f899e57a20b, URL https://elib.dlr.de/126666/, 9th assessment report of the SPARC project, published by the International Project Office at DLR-IPA. also: GAW Report No. 241; WCRP Report 17/2018 (2019)
DOI: 10.5194/acp-18-16155-2018,
Revell, L. E., Stenke, A., Tummon, F., Feinberg, A., Rozanov, E., Peter, T., Abraham, N. L., Akiyoshi, H., Archibald, A. T., Butchart, N., Deushi, M., Jöckel, P., Kinnison, D., Michou, M., Morgenstern, O., O’Connor, F. M., Oman, L. D., Pitari, G., Plummer, D. A., Schofield, R., Stone, K., Tilmes, S., Visioni, D., Yamashita, Y., & Zeng, G.: Tropospheric ozone in CCMI models and Gaussian process emulation to understand biases in the SOCOLv3 chemistry–climate model, Atmospheric Chemistry and Physics, 18, 16 155–16 172, doi: 10.5194/acp-18-16155-2018, URL https://www.atmos-chem-phys.net/18/16155/2018/ (2018)
DOI: 10.5194/acp-19-11559-2019,
Chrysanthou, A., Maycock, A. C., Chipperfield, M. P., Dhomse, S., Garny, H., Kinnison, D., Akiyoshi, H., Deushi, M., Garcia, R. R., Jöckel, P., Kirner, O., Pitari, G., Plummer, D. A., Revell, L., Rozanov, E., Stenke, A., Tanaka, T. Y., Visioni, D., & Yamashita, Y.: The effect of atmospheric nudging on the stratospheric residual circulation in chemistry–climate models, Atmospheric Chemistry and Physics, 19, 11 559–11 586, doi: 10.5194/acp-19-11559-2019, URL https://www.atmos-chem-phys.net/19/11559/2019/ (2019)
DOI: 10.5194/acp-19-10087-2019,
Lamy, K., Portafaix, T., Josse, B., Brogniez, C., Godin-Beekmann, S., Bencherif, H., Revell, L., Akiyoshi, H., Bekki, S., Hegglin, M. I., Jöckel, P., Kirner, O., Liley, B., Marecal, V., Morgenstern, O., Stenke, A., Zeng, G., Abraham, N. L., Archibald, A. T., Butchart, N., Chipperfield, M. P., Di Genova, G., Deushi, M., Dhomse, S. S., Hu, R.-M., Kinnison, D., Kotkamp, M., McKenzie, R., Michou, M., O’Connor, F. M., Oman, L. D., Pitari, G., Plummer, D. A., Pyle, J. A., Rozanov, E., Saint-Martin, D., Sudo, K., Tanaka, T. Y., Visioni, D., & Yoshida, K.: Clear-sky ultraviolet radiation modelling using output from the Chemistry Climate Model Initiative, Atmospheric Chemistry and Physics, 19, 10 087–10 110, doi: 10.5194/acp-19-10087-2019, URL https://www.atmos-chem-phys.net/19/10087/2019/ (2019)
DOI: 10.5194/acp-19-9253-2019,
Harari, O., Garfinkel, C. I., Ziskin Ziv, S., Morgenstern, O., Zeng, G., Tilmes, S., Kinnison, D., Deushi, M., Jöckel, P., Pozzer, A., O’Connor, F. M., & Davis, S.: Influence of Arctic stratospheric ozone on surface climate in CCMI models, Atmospheric Chemistry and Physics, 19, 9253–9268, doi: 10.5194/acp-19-9253-2019, URL https://www.atmos-chem-phys.net/19/9253/2019/ (2019)
DOI: 10.1029/2018JD029516,
Polvani, L. M., Wang, L., Abalos, M., Butchart, N., Chipperfield, M. P., Dameris, M., Deushi, M., Dhomse, S. S., Jöckel, P., Kinnison, D., Michou, M., Morgenstern, O., Oman, L. D., Plummer, D. A., & Stone, K. A.: Large Impacts, Past and Future, of Ozone-Depleting Substances on Brewer-Dobson Circulation Trends: A Multimodel Assessment, Journal of Geophysical Research: Atmospheres, 0, doi: 10.1029/2018JD029516, URL https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2018JD029516 (2019)
DOI: 10.5194/acp-19-7627-2019,
Šácha, P., Eichinger, R., Garny, H., Pišoft, P., Dietmüller, S., de la Torre, L., Plummer, D. A., Jöckel, P., Morgenstern, O., Zeng, G., Butchart, N., & Añel, J. A.: Extratropical age of air trends and causative factors in climate projection simulations, Atmospheric Chemistry and Physics, 19, 7627–7647, doi: 10.5194/acp-19-7627-2019, URL https://www.atmos-chem-phys.net/19/7627/2019/ (2019)
DOI: 10.1175/JCLI-D-18-0273.1,
Gillett, Z. E., Arblaster, J. M., Dittus, A. J., Deushi, M., Jöckel, P., Kinnison, D. E., Morgenstern, O., Plummer, D. A., Revell, L. E., Rozanov, E., Schofield, R., Stenke, A., Stone, K. A., & Tilmes, S.: Evaluating the Relationship between Interannual Variations in the Antarctic Ozone Hole and Southern Hemisphere Surface Climate in ChemistryClimate Models, Journal of Climate, 32, 3131–3151, doi: 10.1175/JCLI-D-18-0273.1, URL https://doi.org/10.1175/JCLI-D-18-0273.1 (2019)
DOI: 10.5194/acp-19-5511-2019,
Yang, H., Waugh, D. W., Orbe, C., Zeng, G., Morgenstern, O., Kinnison, D. E., Lamarque, J.-F., Tilmes, S., Plummer, D. A., Jöckel, P., Strahan, S. E., Stone, K. A., & Schofield, R.: Large-scale transport into the Arctic: the roles of the midlatitude jet and the Hadley Cell, Atmospheric Chemistry and Physics, 19, 5511–5528, doi: 10.5194/acp-19-5511-2019, URL https://www.atmos-chem-phys.net/19/5511/2019/ (2019b)
DOI: 10.5194/acp-19-3589-2019,
Williams, R. S., Hegglin, M. I., Kerridge, B. J., Jöckel, P., Latter, B. G., & Plummer, D. A.: Characterising the seasonal and geographical variability in tropospheric ozone, stratospheric influence and recent changes, Atmospheric Chemistry and Physics, 19, 3589–3620, doi: 10.5194/acp-19-3589-2019, URL https://www.atmos-chem-phys.net/19/3589/2019/ (2019)
DOI: 10.1039/C8PP90059K,
Bais, A. F., Bernhard, G., McKenzie, R. L., Aucamp, P. J., Young, P. J., Ilyas, M., Jöckel, P., & Deushi, M.: Ozone-climate interactions and effects on solar ultraviolet radiation, Photochem. Photobiol. Sci., pp. –, doi: 10.1039/C8PP90059K, URL http://dx.doi.org/10.1039/C8PP90059K (2019)
DOI: 10.5194/acp-19-921-2019,
Eichinger, R., Dietmüller, S., Garny, H., Šácha, P., Birner, T., Bönisch, H., Pitari, G., Visioni, D., Stenke, A., Rozanov, E., Revell, L., Plummer, D. A., Jöckel, P., Oman, L., Deushi, M., Kinnison, D. E., Garcia, R., Morgenstern, O., Zeng, G., Stone, K. A., and Schofield, R.: The influence of mixing on the stratospheric age of air changes in the 21st century, Atmos. Chem. Phys., 19, 921-940, https://doi.org/10.5194/acp-19-921-2019, 2019
DOI: 10.1029/2018GL080960,
Yang, H., Waugh, D. W., Orbe, C., Patra, P. K., Jöckel, P., Lamarque, J.-F., Tilmes, S., Kinnison, D., Elkins, J. W., & Dlugokencky, E. J.: Evaluating Simulations of Interhemispheric Transport: Interhemispheric Exchange Time versus SF6 Age, Geophysical Research Letters, 46, doi: 10.1029/2018GL080960, URL https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2018GL080960 (2019a)
DOI: 10.5194/acp-19-14387-2019,
Kuai, L., Bowman, K. W., Miyazaki, K., Deushi, M., Revell, L., Rozanov, E., Paulot, F., Strode, S., Conley, A., Lamarque, J.-F., Jöckel, P., Plummer, D. A., Oman, L. D., Worden, H., Kulawik, S., Paynter, D., Stenke, A., & Kunze, M.: Attribution of Chemistry-Climate Model Initiative (CCMI) ozone radiative flux bias from satellites, Atmospheric Chemistry and Physics, 20, 281–301, doi: 10.5194/acp-20-281-2020, URL https://www.atmos-chem-phys.net/20/281/2020/ (2020) Akritidis, D., Pozzer, A., & Zanis, P.: On the impact of future climate change on tropopause folds and tropospheric ozone, Atmospheric Chemistry and Physics, 19, 14 387–14 401, doi: 10.5194/acp-19-14387-2019, URL https://www.atmos-chem- phys.net/19/14387/2019/ (2019)
DOI: 10.5194/acp-19-13701-2019,
Zhao, Y., Saunois, M., Bousquet, P., Lin, X., Berchet, A., Hegglin, M. I., Canadell, J. G., Jackson, R. B., Hauglustaine, D. A., Szopa, S., Stavert, A. R., Abraham, N. L., Archibald, A. T., Bekki, S., Deushi, M., Jöckel, P., Josse, B., Kinnison, D., Kirner, O., Marécal, V., O’Connor, F. M., Plummer, D. A., Revell, L. E., Rozanov, E., Stenke, A., Strode, S., Tilmes, S., Dlugokencky, E. J., & Zheng, B.: Inter-model comparison of global hydroxyl radical (OH) distributions and their impact on atmospheric methane over the 2000–2016 period, Atmospheric Chemistry and Physics, 19, 13 701–13 723, doi: 10.5194/acp-19-13701-2019, URL https://www.atmos-chem-phys.net/19/137012019/ (2019)
DOI: 10.5194/acp-20-6883-2020,
Abalos, M., Orbe, C., Kinnison, D. E., Plummer, D., Oman, L. D., Jöckel, P., Morgenstern, O., Garcia, R. R., Zeng, G., Stone, K. A., & Dameris, M.: Future trends in stratosphere-to-troposphere transport in CCMI models, Atmospheric Chemistry and Physics, 20, 6883–6901, doi: 10.5194/acp-20-6883-2020, URL https://www.atmos-chem-phys.net/20/6883/2020/ (2020)
DOI: 10.5194/acp-20-11697-2020,
Kilian, M., Brinkop, S., and Jöckel, P.: Impact of the eruption of Mt Pinatubo on the chemical composition of the stratosphere, Atmos. Chem. Phys., 20, 11697–11715, https://doi.org/10.5194/acp-20-11697-2020, 2020.
DOI: 10.5194/acp-20-4105-2020,
Keber, T., Bönisch, H., Hartick, C., Hauck, M., Lefrancois, F., Obersteiner, F., Ringsdorf, A., Schohl, N., Schuck, T., Hossaini, R., Graf, P., Jöckel, P., & Engel, A.: Bromine from short-lived source gases in the extratropical northern hemispheric upper troposphere and lower stratosphere (UTLS), Atmospheric Chemistry and Physics, 20, 4105–4132, doi: 10.5194/acp-20-4105-2020, URL https://www.atmos-chem-phys.net/20/4105/2020/ (2020)
Pavicic, S.J.: Determination and Evaluation of Stratospheric Water Vapour Trends from Simulations with the Earth System Model EMAC, Master’s Thesis at the Faculty of Physics, LMU Munich, 2020.
DOI: 10.1002/qj.3876,
Eichinger, R. & Šácha, P.: Overestimated acceleration of the advective BrewerDobson circulation due to stratospheric cooling, Quarterly Journal of the Royal Meteorological Society, 1-15, doi: 10.1002/qj.3876, URL https://rmets.onlinelibrary.wiley.com/doi/abs/10.1002/qj.3876 (2020)
DOI: 10.5194/acp-20-9961-2020,
Amos, M., Young, P. J., Hosking, J. S., Lamarque, J.-F., Abraham, N. L., Akiyoshi, H., Archibald, A. T., Bekki, S., Deushi, M., Jöckel, P., Kinnison, D., Kirner, O., Kunze, M., Marchand, M., Plummer, D. A., Saint-Martin, D., Sudo, K., Tilmes, S., & Yamashita, Y.: Projecting ozone hole recovery using an ensemble of chemistry–climate models weighted by model performance and independence, Atmospheric Chemistry and Physics, 20, 9961–9977, doi: 10.5194/acp-20-9961-2020, URL https://acp.copernicus.org/articles/20/9961/2020/ (2020)
DOI: 10.5194/acp-20-3809-2020,
Orbe, C., Plummer, D. A., Waugh, D. W., Yang, H., Jöckel, P., Kinnison, D. E., Josse, B., Marecal, V., Deushi, M., Abraham, N. L., Archibald, A. T., Chipperfield, M. P., Dhomse, S., Feng, W., & Bekki, S.: Description and Evaluation of the specified-dynamics experiment in the Chemistry-Climate Model Initiative, Atmospheric Chemistry and Physics, 20, 3809– 3840, doi: 10.5194/acp-20-3809-2020, URL https://www.atmos-chem-phys.net/20/3809/2020/ (2020)
DOI: 10.3390/atmos11030228,
Eleftheratos, K., Kapsomenakis, J., Zerefos, C. S., Bais, A. F., Fountoulakis, I., Dameris, M., Jöckel, P., Haslerud, A. S., Godin-Beekmann, S., Steinbrecht, W., Petropavlovskikh, I., Brogniez, C., Leblanc, T., Liley, J. B., Querel, R., & Swart, D. P. J.: Possible Effects of Greenhouse Gases to Ozone Profiles and DNA Active UV-B Irradiance at Ground Level, Atmosphere, 11, doi: 10.3390/atmos11030228, URL https://www.mdpi.com/2073-4433/11/3/228 (2020)
DOI: 10.5194/acp-20-1341-2020,
Nicely, J. M., Duncan, B. N., Hanisco, T. F., Wolfe, G. M., Salawitch, R. J., Deushi, M., Haslerud, A. S., Jöckel, P., Josse, B., Kinnison, D. E., Klekociuk, A., Manyin, M. E., Marécal, V., Morgenstern, O., Murray, L. T., Myhre, G., Oman, L. D., Pitari, G., Pozzer, A., Quaglia, I., Revell, L. E., Rozanov, E., Stenke, A., Stone, K., Strahan, S., Tilmes, S., Tost, H., Westervelt, D. M., & Zeng, G.: A machine learning examination of hydroxyl radical differences among model simulations for CCMI-1, Atmospheric Chemistry and Physics, 20, 1341–1361, doi: 10.5194/acp-20-1341-2020, URL https://www.atmos-chem-phys.net/20/1341/2020/ (2020)
DOI: 10.5194/acp-19-13759-2019,
Dameris, M., Jöckel, P., & Nützel, M.: Possible implications of enhanced chlorofluorocarbon-11 concentrations on ozone, Atmospheric Chemistry and Physics, 19, 13 759–13 771, doi: 10.5194/acp-19-13759-2019, URL https://www.atmos-chem- phys.net/19/13759/2019/ (2019)
DOI: 10.5194/acp-21-6811-2021,
Dietmüller, S., Garny, H., Eichinger, R., & Ball, W. T.: Analysis of recent lower-stratospheric ozone trends in chemistry climate models, Atmospheric Chemistry and Physics, 21, 6811–6837, doi: 10.5194/acp-21-6811-2021, URL https://acp.copernicus.org/articles/21/6811/2021/ (2021)
DOI: 10.5194/essd-13-2995-2021,
Beirle, S., Borger, C., Dörner, S., Eskes, H., Kumar, V., de Laat, A., & Wagner, T.: Catalog of NOx emissions from point sources as derived from the divergence of the NO flux for TROPOMI, Earth System Science Data, 13, 2995–3012, doi: 210.5194/essd-13-2995-2021, URL https://essd.copernicus.org/articles/13/2995/2021/ (2021)
DOI: 10.1088/1748-9326/abfe2b,
Pisoft, P., Sacha, P., Polvani, L. M., Ael, J. A., de la Torre, L., Eichinger, R., Foelsche, U., Huszar, P., Jacobi, C., Karlicky, J., Kuchar, A., Miksovsky, J., Zak, M., & Rieder, H. E.: Stratospheric contraction caused by increasing greenhouse gases, Environmental Research Letters, URL http://iopscience.iop.org/article/10.1088/1748-9326/abfe2b (2021)
DOI: 10.5194/acp-21-3725-2021,
Garfinkel, C. I., Harari, O., Ziskin Ziv, S., Rao, J., Morgenstern, O., Zeng, G., Tilmes, S., Kinnison, D., O’Connor, F. M., Butchart, N., Deushi, M., Jöckel, P., Pozzer, A., & Davis, S.: Influence of the El Niño–Southern Oscillation on entry stratospheric water vapor in coupled chemistry–ocean CCMI and CMIP6 models, Atmospheric Chemistry and Physics, 21, 3725–3740, doi: 10.5194/acp-21-3725-2021, URL https://acp.copernicus.org/articles/21/3725/2021/ (2021)
DOI: 10.5194/amt-14-1425-2021,
Sheese, P. E., Walker, K. A., Boone, C. D., Degenstein, D. A., Kolonjari, F., Plummer, D., Kinnison, D. E., Jöckel, P., & von Clarmann, T.: Model estimations of geophysical variability between satellite measurements of ozone profiles, Atmospheric Measurement Techniques, 14, 1425–1438, doi: 10.5194/amt-14-1425-2021, URL https://amt.copernicus.org/articles/14/1425/2021/ (2021)
DOI: 10.5194/acp-21-201-2021,
Karagodin-Doyennel, A., Rozanov, E., Kuchar, A., Ball, W., Arsenovic, P., Remsberg, E., Jöckel, P., Kunze, M., Plummer, D. A., Stenke, A., Marsh, D., Kinnison, D., & Peter, T.: The response of mesospheric H 2O and CO to solar irradiance variability in models and observations, Atmospheric Chemistry and Physics, 21, 201–216, doi: 10.5194/acp-21-201-2021, URL https://acp.copernicus.org/articles/21/201/2021/ (2021)
DOI: 10.5194/ acp-20-13011-2020,
Archibald, A., Neu, J., Elshorbany, Y., Cooper, O., Young, P., Akiyoshi, H., Cox, R., Coyle, M., Derwent, R., Deushi, M., Finco, A., Frost, G., Galbally, I., Gerosa, G., Granier, C., Griffiths, P., Hossaini, R., Hu, L., Jöckel, P., Josse, B., Lin, M., Mertens, M., Morgenstern, O., Naja, M., Naik, V., Oltmans, S., Plummer, D., Revell, L., Saiz, Saxena, P., Shin, Y., Shahid, I., Shallcross, D., Tilmes, S., Trickl, T., Wallington, T., Wang, T., Worden, H., & Zeng, G.: Tropospheric Ozone Assessment Report: A critical review of changes in the tropospheric ozone burden and budget from 1850 to 2100, Elementa: Science of the Anthropocene, 8, doi: 10.1525/elementa.2020.034, URL https://doi.org/10.1525/elementa.2020.034 (2020) Zhao, Y., Saunois, M., Bousquet, P., Lin, X., Berchet, A., Hegglin, M. I., Canadell, J. G., Jackson, R. B., Deushi, M., Jöckel, P., Kinnison, D., Kirner, O., Strode, S., Tilmes, S., Dlugokencky, E. J., & Zheng, B.: On the role of trend and variability in the hydroxyl radical (OH) in the global methane budget, Atmospheric Chemistry and Physics, 20, 13 011–13 022, doi: 10.5194/ acp-20-13011-2020, URL https://acp.copernicus.org/articles/20/13011/2020/ (2020)
Hufnagl, L.: The Influence of Ozone Changes on the Stratospheric Dynamics in 4xCO2 Climate Simulations, Master’s thesis, Ludwig-Maximilians-Universität München, URL https://elib.dlr.de/185531/ (2022)
DOI: 10.5194/acp-22-12827-2022,
Eleftheratos, K., Kapsomenakis, J., Fountoulakis, I., Zerefos, C. S., Jöckel, P., Dameris, M., Bais, A. F., Bernhard, G., Kouklaki, D., Tourpali, K., Stierle, S., Liley, J. B., Brogniez, C., Auriol, F., Diémoz, H., Simic, S., Petropavlovskikh, I., Lakkala, K., & Douvis, K.: Ozone, DNA-active UV radiation, and cloud changes for the near-global mean and at high latitudes due to enhanced greenhouse gas concentrations, Atmospheric Chemistry and Physics, 22, 12 827–12 855, doi: 10.5194/acp-22-12827-2022, URL https://acp.copernicus.org/articles/22/12827/2022/ (2022)
DOI: 10.5194/acp-23-10235-2023,
Friedel, M., Chiodo, G., Sukhodolov, T., Keeble, J., Peter, T., Seeber, S., Stenke, A., Akiyoshi, H., Rozanov, E., Plummer, D., Jöckel, P., Zeng, G., Morgenstern, O., and Josse, B.: Weakening of springtime Arctic ozone depletion with climate change, Atmos. Chem. Phys., 23, 10235–10254, https://doi.org/10.5194/acp-23-10235-2023, 2023
852: HD(CP)^2: Diagnostics and ice clouds in ICON
Kern, B. and Jöckel, P.: The Modular Earth Submodel System (MESSy, 2.50_extended) as diagnostic interface of the ICOsahedral Non-hydrostatic (ICON) modelling framework, in preparation for GMD(D).
850: Past and future changes of the three-dimensional Brewer-Dobson circulation
Demirhan Bari, D., A. Gabriel, H. Körnich, and D. Peters (2013): The effect of zonal asymmetries in the Brewer-Dobson circulation on ozone and water vapour distributions in the northern middle atmosphere, J. Geophys. Res. Atmos., 118, doi:10.1029/2012JD017709.
Gabriel, A., and co-authors (2016): Long-term changes in the northern mid-winter middle atmosphere in relation to the Quasibiennal Oscillation, going to be submitted.
DOI: doi.org/10.1029/ 2019JD030679,
Gabriel, A. (2019). Long‐term changes in the northern midwinter middle atmosphere in relation to the Quasi‐Biennial Oscillation. J. Geoph. Res. Atmos., 124. https://doi.org/10.1029/ 2019JD030679.
849: MiKlip II Module C - Regionalization of Decadal Predictions
Marotzke J. W. A. Müller, F.S.E. Vamborg, P. Becker, U. Cubasch, H. Feldmann, F. Kaspar, Ch. Kottmeier, C. Marini, I. Polkova, K. Prömmel, H.W. Rust, D. Stammer, U. Ulbrich, C. Kadow, A. Köhl, J. Kröger, T. Kruschke, J.G. Pinto, H. Pohlmann, M. Reyers, M. Schröder, F. Sienz, C. Timmreck, and M. Ziese (2016): MiKlip - a National Research Project on Decadal Climate Prediction. BAMS, Early Online Releases.
Breil, M., G. Schädler, 2016: Quantification of the uncertainties in soil and vegetation parameterizations for regional climate simulations in Europe. Submitted to Journal of Hydrometeorology.
Moemken J, Reyers M, Buldmann B, Pinto JG (2016): Decadal predictability of regional scale wind speed and wind energy potentials over Central Europe. Tellus A, Vol. 68 (29199).
Paxian, A., Sein, D., Panitz, H.-J., Warscher, M., Breil, M., Engel, T., Toedter, J., Krause, A., Cabos Narvaez, W. D., Fink, A. H., Ahrens, B., Kunstmann, H., Jacob, D., Paeth, H. (2016): Bias reduction in decadal predictions of West African monsoon rainfall using regional climate models. J J. Geophys. Res. Atmos., Vol. 121 (4), pp. 1715–1735.
Weimer, M., Mieruch, S., Schädler, G., Kottmeier, Ch. (2016): A new estimator of heat periods for decadal climate predictions – a complex network approach. Nonlin. Processes Geophys., 23, 307-317, doi:10.5194/npg-23-307-2016.
Mieruch, S., H. Feldmann, G. Schädler, C. J. Lenz, S. Kothe, and Ch. Kottmeier (2014): The Regional MiKlip Decadal Forecast Ensemble for Europe: the Added Value of Downscaling., Geosci. Model Dev., 7(6), 2983-2999, doi:10.5194/gmd-7-2983-2014.
Khodayar S., A. Sehlinger, H. Feldmann and Ch. Kottmeier (2015): Sensitivity of soil moisture initialization for decadal predictions under different regional climatic conditions in Europe, Int. J, Climatol. 35, 1899-1915
Reyers M, Pinto JG, Moemken J (2015): Statistical-dynamical downscaling for wind energy potentials: evaluation and applications to decadal hindcasts and climate change projections. International Journal of Climatology 35: 229-244. Doi:10.1002/joc.3975
Paeth, H., Paxian, A., Sein, D., Jacob, D., Panitz, H.-J., Warscher, M., Fink, A., Kunstmann, H., Breil, M., Engel, T., Krause, A., Toedter, J., Ahrens, B. (2015): Decadal and multi-year predictability of the West African monsoon and the role of dynamical downscaling. J. Clim., submitted.
Mieruch et al., 2015: Decadal prediction of the Effective Drought Index (EDI) for the European continent from 1961 to 2010 -- sensitivity to simulation setup, Journal of Applied Meteorology and Climatology, submitted.
Paxian, A., Sein, D., Panitz, H.-J., Warscher, M., Breil, M., Engel, T., Toedter, J., Krause, A., Cabos Narvaez, W. D., Fink, A. H., Ahrens, B., Kunstmann, H., Jacob, D., Paeth, H. (2015): Bias reduction in decadal predictions of West African monsoon rainfall using regional climate models. J. Geophys. Res. Atmos., under Review.
Mieruch, S., H. Feldmann, G. Schädler, C. J. Lenz, S. Kothe, and Ch. Kottmeier, 2014: The Regional MiKlip Decadal Forecast Ensemble for Europe: the Added Value of Downscaling., Geosci. Model Dev., 7(6), 2983-2999, doi:10.5194/gmd-7-2983-2014.
Khodayar S., A. Sehlinger, H. Feldmann and Ch. Kottmeier, 2015: Sensitivity of soil moisture initialization for decadal predictions under different regional climatic conditions in Europe, Int. J, Climatol. 35, 1899-1915
S. Mieruch et al., 2015: Decadal prediction of the Effective Drought Index (EDI) for the European continent from 1961 to 2010 -- sensitivity to simulation setup, Journal of Applied Meteorology and Climatology, submitted
Reyers M, Pinto JG, Moemken J (2015): Statistical-dynamical downscaling for wind energy potentials: evaluation and applications to decadal hindcasts and climate change projections. International Journal of Climatology 35: 229-244. Doi:10.1002/joc.3975
Moemken J, Reyers M, Buldmann B, Pinto JG (2015): Decadal predictability of regional scale wind speed and wind energy potentials over Central Europe. Submitted to Tellus A.
Paeth, H., Paxian, A., Sein, D., Jacob, D., Panitz, H.-J., Warscher, M., Fink, A., Kunstmann, H., Breil, M., Engel, T., Krause, A., Toedter, J., Ahrens, B. (2015): Decadal and multi-year predictability of the West African monsoon and the role of dynamical downscaling. J. Clim., submitted.
Mieruch, S., Feldmann, H., Schädler, G., Lenz, C.-J., Kothe, S., and Kottmeier, C. (2013). The regional MiKlip decadal forecast ensemble for Europe. Submitted to GMD.
845: Klimaänderungen auf dem Nordwesteuropäischen Schelf
Mathis, M., Elizalde, A., Mikolajewicz, U., & Pohlmann, T. (2015). Variability patterns of the general circulation and sea water temperature in the North Sea. Progress in Oceanography, 135, 91-112. doi:10.1016/j.pocean.2015.04.009
Gröger, M. , E. Maier-Reimer, U. Mikolajewicz, A. Moll, and D. Sein (2013) NWEuropean shelf under climate warming: Implications for open ocean – shelf exchange, primary production, and carbon absorption. Biogeosciences, 10, 3767–3792, 2013, doi:10.5194/bg- 10-3767-2013.
Mathis, M., A. Elizalde, U. Mikolajewicz, 2017. Which complexity of regional climate system models is essential for downscaling anthropogenic climate change in the Northwest European Shelf? Climate Dynamics (in press)
Hatun, H., J. Ólafsson, K. Azetsu-Scott, R. Somavilla, F. Rey, C. Johnson, M. Mathis, U. Mikolajewicz, P. Coupel, J.-E. Tremblay, S. Hartman, S. Pacariz, I. Salter, 2017. The subpolar gyre regulates silicate concentrations in the North Atlantic. Nature Scientific Reports (accepted)
Mathis, M., A. Elizalde, U. Mikolajewicz (2018). The future regime of Atlantic nutrient supply to the Northwest European Shelf. Journal of Marine Systems (in press), doi:10.1016/j.jmarsys.2018.10.002
DOI: 10.1016/j.jmarsys.2018.10.002,
Mathis, M., Elizalde, A. & Mikolajewicz, U. (2019). The future regime of Atlantic nutrient supply to the Northwest European Shelf. Journal of Marine Systems, 189, 98-115. doi:10.1016/j.jmarsys.2018.10.002
DOI: 10.5194/os-2019-100,
Mathis, M. and Mikolajewicz, U.: The impact of melt water discharge from the Greenland ice sheet on the Atlantic nutrient supply to the Northwest European Shelf, Ocean Sci. Discuss., https://doi.org/10.5194/os-2019-100, in review, 2019
DOI: 10.5194/os-16-167-2020,
Mathis, M., & Mikolajewicz, U. (2020): The impact of meltwater discharge from the Greenland ice sheet on the Atlantic nutrient supply to the northwest European shelf. Ocean Sci., 16, 167–193, doi:10.5194/os-16-167-2020
DOI: 10.1093/icesjms/fsz132,
Núñez-Riboni, I., Taylor, M., Kempf, A., Püts, M., & Mathis, M. (2019): Spatially resolved past and projected changes of the suitable thermal habitat of North Sea cod (Gadus morhua) under climate change. ICES Journal of Marine Science, fsz132, 15 pp, doi:10.1093/icesjms/fsz132
DOI: 10.1007/978-3-030-12957-6_25,
Kotova, L., Jacob, D., Leissner, J., Mathis, M., & Mikolajewicz, U. (2019): Climate Information for the Preservation of Cultural Heritage: Needs and Challenges. In: Moropoulou, A., Korres, M., Georgopoulos, A., Spyrakos, C., & Mouzakis, C. (Eds.): Transdisciplinary Multispectral Modeling and Cooperation for the Preservation of Cultural Heritage. Communications in Computer and Information Science 961, 353-359, Springer, Cham, doi:10.1007/978-3-030-12957-6_25
DOI: 10.1016/j.jmarsys.2018.10.002,
Mathis, M., Elizalde, A. & Mikolajewicz, U. (2019). The future regime of Atlantic nutrient supply to the Northwest European Shelf. Journal of Marine Systems, 189, 98-115. doi:10.1016/j.jmarsys.2018.10.002
DOI: 10.1007/s00382-017-3761-3,
Mathis, M., Elizalde, A., & Mikolajewicz, U. (2018): Which complexity of regional climate system models is essential for downscaling anthropogenic climate change in the Northwest European Shelf? Climate Dynamics 50, 2637-2659, doi:10.1007/s00382-017-3761-3
DOI: 10.1038/s41598-017-14837-4,
Hátún, H., Ólafsson, J., Azetsu-Scott, K., Somavilla, R., Rey, F., Johnson, C., Mathis, M., Mikolajewicz, U., Coupel, P., Tremblay, J. E., Hartman, S., Pacariz, S., & Salter, I. (2017): The subpolar gyre regulates silicate concentrations in the North Atlantic. Scientific Reports 7 (1), 14576, doi:10.1038/s41598-017-14837-4
DOI: 10.1016/j.ocemod.2017.06.005,
Pätsch, J., Burchard, H., Dieterich, C., Gräwe, U., Gröger, M., Mathis, M., Kapitza, H., Bersch, M., Moll, A., Pohlmann, T., Su, J., Ho-Hagemann, H. T. M., Schulz, A., Elizalde, A., & Eden, C. (2017): An evaluation of the North Sea circulation in global and regional models relevant for ecosystem simulations. Ocean Modelling, doi:10.1016/j.ocemod.2017.06.005
DOI: 10.1016/j.pocean.2015.04.009,
Mathis, M., Elizalde, A., Mikolajewicz, U., & Pohlmann, T. (2015): Variability patterns of the general circulation and sea water temperature in the North Sea. Progress in Oceanography 135, 91-112, doi:10.1016/j.pocean.2015.04.009
DOI: 10.1016/j.pocean.2015.04.009,
Mathis, M., Elizalde, A., Mikolajewicz, U., & Pohlmann, T. (2015): Variability patterns of the general circulation and sea water temperature in the North Sea. Progress in Oceanography 135, 91-112, doi:10.1016/j.pocean.2015.04.009
DOI: 10.1016/j.ecss.2016.03.024,
Weinert, M., Mathis, M., Kröncke, I., Neumann, H., Pohlmann, T., & Reiss, H. (2016): Modelling climate change effects on benthos: Distributional shifts in the North Sea from 2001 to 2099. Estuarine, Coastal and Shelf Science 175, 157-168, https://doi.org/10.1016/j.ecss.2016.03.024
DOI: 10.1016/j.ocemod.2017.06.005,
Pätsch, J., Burchard, H., Dieterich, C., Gräwe, U., Gröger, M., Mathis, M., Kapitza, H., Bersch, M., Moll, A., Pohlmann, T., Su, J., Ho-Hagemann, H. T. M., Schulz, A., Elizalde, A., & Eden, C. (2017): An evaluation of the North Sea circulation in global and regional models relevant for ecosystem simulations. Ocean Modelling, doi:10.1016/j.ocemod.2017.06.005
DOI: 10.1038/s41598-017-14837-4,
Hátún, H., Ólafsson, J., Azetsu-Scott, K., Somavilla, R., Rey, F., Johnson, C., Mathis, M., Mikolajewicz, U., Coupel, P., Tremblay, J. E., Hartman, S., Pacariz, S., & Salter, I. (2017): The subpolar gyre regulates silicate concentrations in the North Atlantic. Scientific Reports 7 (1), 14576, doi:10.1038/s41598-017-14837-4
DOI: 10.1007/s00382-017-3761-3,
Mathis, M., Elizalde, A., & Mikolajewicz, U. (2018): Which complexity of regional climate system models is essential for downscaling anthropogenic climate change in the Northwest European Shelf? Climate Dynamics 50, 2637-2659, doi:10.1007/s00382-017-3761-3
DOI: 10.1016/j.jmarsys.2018.10.002,
Mathis, M., Elizalde, A. & Mikolajewicz, U. (2019). The future regime of Atlantic nutrient supply to the Northwest European Shelf. Journal of Marine Systems, 189, 98-115. doi:10.1016/j.jmarsys.2018.10.002
DOI: 10.1093/icesjms/fsz132,
Núñez-Riboni, I., Taylor, M., Kempf, A., Püts, M., & Mathis, M. (2019): Spatially resolved past and projected changes of the suitable thermal habitat of North Sea cod (Gadus morhua) under climate change. ICES Journal of Marine Science, fsz132, 15 pp, doi:10.1093/icesjms/fsz132
DOI: 10.5194/os-16-167-2020,
Mathis, M., & Mikolajewicz, U. (2020): The impact of meltwater discharge from the Greenland ice sheet on the Atlantic nutrient supply to the northwest European shelf. Ocean Sci., 16, 167–193, doi:10.5194/os-16-167-2020
DOI: 10.1016/j.marenvres.2020.105230,
Weinert, M., Mathis, M., Kröncke, I., Pohlmann, T., & Reiss, H. (2021): Climate change effects on marine protected areas: Projected decline of benthic species in the North Sea. Marine Environmental Research, Volume 163, 2021, 105230, https://doi.org/10.1016/j.marenvres.2020.105230
DOI: 10.7717/peerj.14105,
Weinert, M., Kröncke, I., Meyer, J., Mathis, M., Pohlmann, T., & Reiss, H. (2022): Benthic ecosystem functioning under climate change: modelling the bioturbation potential for benthic key species in the southern North Sea. PeerJ, 10:e14105, https://doi.org/10.7717/peerj.14105
DOI: 10.1111/fme.12629,
Kühn, B., Kempf, A., Brunel, T., Cole, H., Mathis, M., Sys, K., Trijoulet, V., Vermard, Y., & Taylor, M. (2023): Adding to the mix – Challenges of mixed-fisheries management in the North Sea under climate change and technical interactions. Fisheries Management and Ecology, 30, 360–377, https://doi.org/10.1111/fme.12629
841: Untersuchungen zur Optimierung von stratosphärischem Geo-Engineering mit Schwefelaerosol
Benduhn F., and MG. Lawrence, J. of Geophys. Res. D, doi:10.1002/jgrd.50622, 2013
839: Quantifying Aerosol-Cloud-Climate Effects by Regime (QUAERERE)
Gryspeerdt, Edward, J. Quaas, and N. Bellouin, Constraining the aerosol influence on cloud fraction, J. Geophys. Res., 121, 3566-3583, doi:10.1002/2015JD023744, 2016.
Kretzschmar, Jan, M. Salzmann, J. Mülmenstädt, O. Boucher, and J. Quaas, Lack of constraint on aerosol forcing from early anthropogenic warming in comprehensive climate models, J. Climate, submitted.
Heyn, I., K. Block, J. Mülmenstädt, Edward Gryspeerdt, P. Kühne, M. Salzmann, and J. Quaas, Is the IPCC AR5 estimate of the aerosol effective radiative forcing too weak?, Geophys. Res. Lett., submitted.
Mülmenstädt, J., O. Sourdeval, J. Delanoë, and J. Quaas, Frequency of occurrence of rain from liquid-, mixed- and ice-phase clouds derived from A-Train satellite retrievals, Geophys. Res. Lett., 42, 6502-6509, doi:10.1002/2015GL064604, 2015.
Ma, X., F. Yu, and J. Quaas, Reassessment of satellite-based estimate of aerosol-climate forcing, J. Geophys. Res., 119, 10394-10409, doi:10.1002/2014JD021670, 2014.
Smith, C. J., Kramer, R. J., Myhre, G., Forster, P. M., Soden, B., Andrews, T., O. Boucher, G. Faluvegi, D. Fläschner, Ø. Hodnebrog, M. Kasoar, V. Kharin, A. Kirkevåg, J.‐F. Lamarque, J. Mülmenstädt, D. Olivié, T. Richardson, B. H. Samset, D. Shindell, P. Stier, T. Takemura, A. Voulgarakis, and D. Watson‐Parris, Understanding Rapid Adjustments to Diverse Forcing Agents, Geophys. Res. Lett., 45, doi:10.1029/2018GL079826, 2018.
DOI: 10.5194/acp-2018-1304,
Mülmenstädt, J., E. Gryspeerdt, M. Salzmann, P.-L. Ma, Dipu S., and J. Quaas, Separating radiative forcing by aerosol-cloud interactions and fast cloud adjustments in the ECHAM-HAMMOZ aerosol-climate model using the method of partial radiative perturbations, Atmos. Chem. Phys., in press, doi:10.5194/acp-2018-1304, 2019.
838: High Definition Clouds and Precipitation for Climate Prediction - PDF cloud schemes
Heinze, R., A. Dipankar, C. Carbajal Henken, C. Moseley, O. Sourdeval, S. Trömel, X. Xie, P. Adamidis, F. Ament, H. Baars, C. Barthlott, A. Behrendt, U. Blahak, S. Bley, Slavko Brdar, M. Brueck, Susanne Crewell, H. Deneke, P. Di Girolamo, R. Evaristo, J. Fischer, C. Frank, P. Friederichs, T. Göcke, K. Gorges, L. Hande, M. Hanke, A. Hansen, H.-C. Hege, C. Hoose, T. Jahns, N. Kalthoff, D. Klocke, S. Kneifel, P. Knippertz, A. Kuhn, T. Laar, Andreas Macke, V. Maurer, B. Mayer, C. I. Meyer, S. K. Muppa, R. A. J. Neggers, E. Orlandi, F. Pantillon, B. Pospichal, N. Röber, L. Scheck, A. Seifert, P. Seifert, F. Senf, P. Siligam, C. Simmer, S. Steinke, B. Stevens, K. Wapler, M. Weniger, V. Wulfmeyer, G. Zängl, D. Zhang, and J. Quaas, Large-eddy simulations over Germany using ICON: A comprehensive evaluation, Quart. J. Roy. Meteorol. Soc., in press, 2016.
Heyn, I., J. Mülmenstädt, M. Salzmann, and J. Quaas, Effects of diabatic and adiabatic processes on relative humidity in a GCM and implications for the usefulness of the mid-tropospheric vertical wind to classify cloud regimes, Tellus, in revision.
Brueck, M., J. Quaas, J.-C. Golaz, and H. Guo, Importance of subgrid temperature variability in cloud parameterizations, Mon. Wea. Rev., submitted.
Nam, C., J. Quaas, R. Neggers, C. Siegenthaler-Le Drian, and F. Isotta, Evaluation of boundary layer cloud parameterizations in the ECHAM5 general circulation model using CALIPSO and CloudSat satellite data, J. Adv. Model. Earth Syst., 6, 300-314, doi:10.1002/2013MS000277, 2014.
Nam, C., and J. Quaas, Geographical versus dynamically defined boundary layer cloud regimes and their use to evaluate general circulation model cloud parameterisations, Geophys. Res. Lett., 40, 4951-4956, doi:10.1002/grl.50945, 2013.
Rosch, J., T. Heus, H. M. Brueck, M. Salzmann, J. Mülmenstädt, L. Schlemmer, and J. Quaas, Analysis of diagnostic climate model cloud parameterisations using large-eddy simulations, Q. J. R. Meteorol. Soc., 141, 2199-2205, doi:10.1002/qj.2515, 2015.
834: HD(CP)² Module M (Modelling)
Heinze, R., A. Dipankar, C. Carbajal Henken, C. Moseley, O. Sourdeval, S. Trömel, X. Xie, P. Adamidis, F. Ament, H. Baars, C. Barthlott, A. Behrendt, U. Blahak, S. Bley, Slavko Brdar, M.Brueck, Susanne Crewell, H. Deneke, P. Di Girolamo, R. Evaristo, J. Fischer, C. Frank, P. Friederichs, T. Göcke, K. Gorges, L. Hande, M. Hanke, A. Hansen, H.-C. Hege, C. Hoose, T. Jahns, N. Kalthoff, D. Klocke, S. Kneifel, P. Knippertz, A. Kuhn, T. Laar, Andreas Macke, V. Maurer, B. Mayer, C. I. Meyer, S. K. Muppa, R. A. J. Neggers, E. Orlandi, F. Pantillon, B. Pospichal, N. Röber, L. Scheck, A. Seifert, P. Seifert, F. Senf, P. Siligam, C. Simmer, S. Steinke, B. Stevens, K. Wapler, M. Weniger, V. Wulfmeyer, G. Zängl, D. Zhang, and J. Quaas, Large-eddy simulations over Germany using ICON: A comprehensive evaluation, Quart. J. Roy. Meteorol. Soc., accepted.
Nam, C., Philipp Kühne, M. Salzmann, and J. Quaas, A prospectus for using large-eddy simulations to constrain rapid adjustments in general circulation models, J. Adv. Model. Earth Syst., submitted.
Zängl, G., D. Reinert, P. Rípodas, and M. Baldauf (2015), The ICON (ICOsahedral Nonhydrostatic) modelling framework of DWD and MPI-M: Description of the non-hydrostatic dynamical core, Quart. J. Roy. Meteor. Soc., 141, 563 - 579, doi:10.1002/qj.2378.
Carbajal-Henken, C. K., Lindstrot, R., Preusker, R., and Fischer, J. (2014): FAME-C: cloud property retrieval using synergistic AATSR and MERIS observations, Atmos. Meas. Tech., 7, 3873-3890, doi:10.5194/amt-7-3873-2014.
Nam, C. C., and Quaas, J. (2013): Geographically versus dynamically defined boundary layer cloud regimes and their use to evaluate general circulation model cloud parameterizations, Geophys. Res. Lett., 40(18), 4951-4956, doi:10.1002/grl.50945.
Klinger, C. and Mayer, B. (2014): Three-dimensional Monte Carlo calculation of atmospheric thermal heating rates, J. Quant. Spectr. Rad. Trans., Volume 144, Pages 123-136, ISSN 0022-4073, doi:10.1016/j.jqsrt.2014.04.009
Kuhn, A., Engelke, W., Rössl, C., Hadwiger, M. and Theisel, H. (2014): Time Line Cell Tracking for the Approximation of Lagrangian Coherent Structures with Subgrid Accuracy, Computer Graphics Forum, 33: 222–234, doi:10.1111/cgf.12269
Kuhn, A., Lindow, N., Günther, T., Wiebel, A., Theisel, H., and Hege, H. C. (2013): Trajectory density projection for vector field visualization, EuroVis-Short Papers, 31-35
Dipankar, A., B. Stevens, R. Heinze, C.Moseley, G. Zängl, M. Giorgetta, and S. Brdar (2015), Large eddy simulation using the general circulation model ICON, J. Adv. Model. Earth Syst., (7), doi:10.1002/2015MS000431.
Kärcher, B., Dörnbrack, A., & Sölch, I. (2014): Supersaturation variability and cirrus ice crystal size distributions, J. Atmos. Sc., 71(8), 2905-2926, doi:http://dx.doi.org/10.1175/JAS-D-13-0404.1.
Klinger, C. and Mayer, B. (2014): Three-dimensional Monte Carlo calculation of atmospheric thermal heating rates, J. Quant. Spectr. Rad. Trans., Volume 144, Pages 123-136, ISSN 0022-4073, doi:10.1016/j.jqsrt.2014.04.009
Carbajal Henken, C. K., H. Diedrich, R. Preusker, and J. Fischer (2015), MERIS full-resolution total column water vapor: Observing horizontal convective rolls, Geophys. Res. Lett., 42, 10,074–10,081, Opens external link in new windowdoi:10.1002/2015GL066650.
Carbajal Henken, C. K., Doppler, L., Lindstrot, R., Preusker, R., and Fischer, J. (2015): Exploiting the sensitivity of two satellite cloud height retrievals to cloud vertical distribution, Atmos. Meas. Tech., 8, 3419-3431, doi.org/10.5194/amt-8-3419-2015.
Nam, C. C., Quaas, J., Neggers, R., Drian, S. L., and Isotta, F. (2014): Evaluation of boundary layer cloud parameterizations in the ECHAM5 general circulation model using CALIPSO and CloudSat satellite data, J. Adv. Model. Earth Syst., 6 (2), 300-314, doi:10.1002/2013MS000277.
Schween, J. H., A. Hirsikko, U. Löhnert, and S. Crewell (2014): Mixing Layer Height Retrieval with Ceilometer and Doppler Lidar: from Case Studies to Long-Term Assessment, Atmo. Meas. Techn., 7(11), 3685-3704., doi:10.5194/amt-7-3685-2014
Späth, F., Behrendt, A., Muppa, S. K., Metzendorf, S., Riede, A., and Wulfmeyer, V. (2014): High-resolution atmospheric water vapor measurements with a scanning differential absorption lidar, Atmos. Chem. Phys. Discuss., 14, 29057-29099, doi:10.5194/acpd-14-29057-2014
Barrera-Verdejo, M., Crewell, S., Löhnert, U., Orlandi, E., and Di Girolamo, P. (2015): Ground based lidar and microwave radiometry synergy for high vertically resolved thermodynamic profiling, Atmos. Meas. Tech. Discuss., 8, 5467-5509, doi:10.5194/amtd-8-5467-2015.
Behrendt, A., Wulfmeyer, V., Hammann, E., Muppa, S. K., and Pal, S. (2015): Profiles of second- to fourth-order moments of turbulent temperature fluctuations in the convective boundary layer: first measurements with rotational Raman lidar, Atmos. Chem. Phys., 15, 5485-5500, doi:10.5194/acp-15-5485-2015.
Diedrich, H., Preusker, R., Lindstrot, R., and Fischer, J. (2015): Retrieval of daytime total columnar water vapour from MODIS measurements over land surfaces, Atmos. Meas. Tech., 8, 823-836, doi:10.5194/amt-8-823-2015.
Eikenberg, S., Köhler, C., Seifert, A., and S. Crewell (2015): How microphysical choices affect simulated infrared brightness temperatures, Atmos. Res., Volume 156, Pages 67-79, ISSN 0169-8095, http://dx.doi.org/10.1016/j.atmosres.2014.12.010.
Foth, A., Baars, H., Di Girolamo, P., and Pospichal, B. (2015): Water vapour profiles from Raman lidar automatically calibrated by microwave radiometer data during HOPE, Atmos. Chem. Phys., 15, 7753-7763, doi:10.5194/acp-15-7753-2015.
Hammann, E., Behrendt, A., Le Mounier, F., and Wulfmeyer, V. (2015): Temperature profiling of the atmospheric boundary layer with rotational Raman lidar during the HD(CP)2 Observational Prototype Experiment, Atmos. Chem. Phys., 15, 2867-2881, doi:10.5194/acp-15-2867-2015.
Hande, L. B., Engler, C., Hoose, C., and Tegen, I. (2015): Seasonal variability of Saharan desert dust and ice nucleating particles over Europe, Atmos. Chem. Phys., 15, 4389-4397, doi:10.5194/acp-15-4389-2015.
Hollstein, A., Fischer, J., Carbajal Henken, C., and Preusker, R (2015). Bayesian cloud detection for MERIS, AATSR, and their combination, Atmos. Meas. Tech., 8, 1757-1771, doi.org/10.5194/amt-8-1757-2015.
Jakub, F. and Mayer, B. (2015): A three-dimensional parallel radiative transfer model for atmospheric heating rates for use in cloud resolving models- The Ten Stream solver, J. Quant. Spectr. Rad. Trans., Volume 163, Pages 63-71, ISSN 0022-4073, http://dx.doi.org/10.1016/j.jqsrt.2015.05.003.
Klinger, C., Mayer, B. (2015): The Neighboring Column Approximation (NCA) - A fast approach for the calculation of 3D thermal heating rates in cloud resolving model, Journal of Quantitative Spectroscopy and Radiative Transfer, Volume 168, January 2016, Pages 17-28, Opens external link in new windowdoi.org/10.1016/j.jqsrt.2015.08.020.
Löhnert, U., J. H. Schween, C. Acquistapace, K. Ebell, M. Maahn, M. Barrera-Verdejo, A. Hirsikko, B. Bohn, A. Knaps, E. O’Connor, C. Simmer, A. Wahner, and S. Crewell (2015): JOYCE: Jülich Observatory for Cloud Evolution. Bulletin of the American Meteorological Society, 96:7, 1157-117, http://dx.doi.org/10.1175/BAMS-D-14-00105.1
Päschke, E., Leinweber, R., and Lehmann, V. (2015): An assessment of the performance of a 1.5 μm Doppler lidar for operational vertical wind profiling based on a 1-year trial, Atmos. Meas. Tech., 8, 2251-2266, doi:10.5194/amt-8-2251-2015.
Rosch, J., Heus, T., Brueck, M., Salzmann, M., Mülmenstädt, J., Schlemmer, L. and Quaas, J. (2015): Analysis of diagnostic climate model cloud parametrizations using large-eddy simulations. Q.J.R. Meteorol. Soc., 141: 2199–2205. doi: 10.1002/qj.2515.
Sourdeval, O., C.-Labonnote, L., Baran, A. J. and Brogniez, G. (2015): A methodology for simultaneous retrieval of ice and liquid water cloud properties. Part I: Information content and case study. Q.J.R. Meteorol. Soc., 141: 870–882. doi: 10.1002/qj.2405
Steinke, S., Eikenberg, S., Löhnert, U., Dick, G., Klocke, D., Di Girolamo, P., and Crewell, S. (2015): Assessment of small-scale integrated water vapour variability during HOPE, Atmos. Chem. Phys., 15, 2675-2692, doi:10.5194/acp-15-2675-2015.
Van Stratum, B. J. H. and B. Stevens (2015): The influence of misrepresenting the nocturnal boundary layer on idealized daytime convection in large-eddy simulation, J. Adv. Model. Earth Syst. 7, 423-436, doi: 10.1002/2014MS000370.
Träumner, K., Damian, T., Stawiarski, C., and Wieser, A. (2015): Turbulent structures and coherence in the atmospheric surface layer, Bound.-Lay. Met., 154(1), 1-25, doi:10.1007/s10546-014-9967-6.
Xie, X., Crewell, S., Löhnert, U., Simmer, C., and Miao, J. (2015): Polarization signatures and brightness temperatures caused by horizontally oriented snow particles at microwave bands: Effects of atmospheric absorption, J. Geophys. Res. Atmos., 120(12), 6145-6160, doi: 10.1002/2015JD023158.
Baars, H., Kanitz, T., Engelmann, R., Althausen, D., Heese, B., Komppula, M., Preißler, J., Tesche, M., Ansmann, A., Wandinger, U., Lim, J.-H., Ahn, J. Y., Stachlewska, I. S., Amiridis, V., Marinou, E., Seifert, P., Hofer, J., Skupin, A., Schneider, F., Bohlmann, S., Foth, A., Bley, S., Pfüller, A., Giannakaki, E., Lihavainen, H., Viisanen, Y., Hooda, R. K., Pereira, S. N., Bortoli, D., Wagner, F., Mattis, I., Janicka, L., Markowicz, K. M., Achtert, P., Artaxo, P., Pauliquevis, T., Souza, R. A. F., Sharma, V. P., van Zyl, P. G., Beukes, J. P., Sun, J., Rohwer, E. G., Deng, R., Mamouri, R.-E., and Zamorano, F. (2016): An overview of the first decade of PollyNET: an emerging network of automated Raman-polarization lidars for continuous aerosol profiling, Atmos. Chem. Phys., 16, 5111-5137, doi:10.5194/acp-16-5111-2016.
Baldauf, M. and Brdar, S. (2016): 3D diffusion in terrain-following coordinates: testing and stability of horizontally explicit, vertically implicit discretizations. Q.J.R. Meteorol. Soc., 142, 2087–2101, doi:10.1002/qj.2805
Barrera-Verdejo, M., Crewell, S., Löhnert, U., Orlandi, E., and Di Girolamo, P. (2016): Ground Based Lidar and Microwave Radiometry Synergy for High Vertical Resolution Absolute Humidity Profiling, Atmos. Meas. Tech. Discuss., doi:10.5194/amt-2016-46.
Bley, S., Deneke, H., and Senf, F. (2016): Meteosat-Based Characterization of the Spatio-temporal Evolution of Warm Convective Cloud Fields over Central Europe, J. Appl. Meteor. Climatol., 55, 2181–2195, doi: 10.1175/JAMC-D-15-0335.1.
Bühl, J., Seifert, P., Myagkov, A., and Ansmann, A. (2016): Measuring ice- and liquid-water properties in mixed-phase cloud layers at the Leipzig Cloudnet station, Atmos. Chem. Phys., 16, 10609-10620, doi:10.5194/acp-16-10609-2016.
Corbetta, G., E. Orlandi, T. Heus, R. Neggers, and S. Crewell (2015): Overlap statistics of shallow boundary layer clouds: Comparing ground-based observations with large-eddy simulations, Geophys. Res. Lett., 42, 8185-8191, Opens external link in new windowdoi:10.1002/2015GL065140.
Corbetta, G., E. Orlandi, T. Heus, R. Neggers, and S. Crewell (2015): Overlap statistics of shallow boundary layer clouds: Comparing ground-based observations with large-eddy simulations, Geophys. Res. Lett., 42, 8185-8191, Opens external link in new windowdoi:10.1002/2015GL065140.
Hande, L. B., Engler, C., Hoose, C., and Tegen, I. (2016): Parameterizing cloud condensation nuclei concentrations during HOPE, Atmos. Chem. Phys., 16, 12059-12079, Opens external link in new windowdoi:10.5194/acp-16-12059-2016.
Heinze, R., Dipankar, A., Carbajal Henken, C., Moseley, C., Sourdeval, O., Trömel, S., Xie, X., Adamidis, P., Ament, F., Baars, H., Barthlott, C., Behrendt, A., Blahak, U., Bley, S., Brdar, S., Brueck, M., Crewell, S., Deneke, H., Di Girolamo, P., Evaristo, R., Fischer, J., Frank, C., Friederichs, P., Göcke, T., Gorges, K., Hande, L., Hanke, M., Hansen, A., Hege, H.-C., Hoose, C., Jahns, T., Kalthoff, N., Klocke, D., Kneifel, S., Knippertz, P., Kuhn, A., van Laar, T., Macke, A., Maurer, V., Mayer, B., Meyer, C. I., Muppa, S. K., Neggers, R. A. J., Orlandi, E., Pantillon, F., Pospichal, B., Röber, N., Scheck, L., Seifert, A., Seifert, P., Senf, F., Siligam, P., Simmer, C., Steinke, S., Stevens, B., Wapler, K., Weniger, M., Wulfmeyer, V., Zängl, G., Zhang, D. and Quaas, J. (2016): Large-eddy simulations over Germany using ICON: A comprehensive evaluation. Q.J.R. Meteorol. Soc., doi:10.1002/qj.2947
Heinze, R., Moseley, C., Böske, L. N., Muppa, S., Maurer, V., Raasch, S., and Stevens, B. (2016): Evaluation of large-eddy simulations forced with mesoscale model output for a multi-week period during a measurement campaign, Atmos. Chem. Phys. Discuss., doi:10.5194/acp-2016-498.
Jakub, F. and Mayer, B. (2016): 3-D radiative transfer in large-eddy simulations – experiences coupling the TenStream solver to the UCLA-LES, Geosci. Model Dev., 9, 1413-1422, Opens external link in new window doi:10.5194/gmd-9-1413-2016.
Kärcher, B. and Seifert, A. (2016): On homogeneous ice formation in liquid clouds, Q.J.R. Meteorol. Soc., 142: 1320–1334. doi:10.1002/qj.2735.
Kern, B. and Jöckel, P. (2016): A diagnostic interface for the ICOsahedral Non-hydrostatic (ICON) modelling framework based on the Modular Earth Submodel System (MESSy v2.50), Geosci. Model Dev., 9, 3639-3654, doi:10.5194/gmd-9-3639-2016.
Merk, D., Deneke, H., Pospichal, B., and Seifert, P. (2016): Investigation of the adiabatic assumption for estimating cloud micro- and macrophysical properties from satellite and ground observations, Atmos. Chem. Phys., 16, 933-952, doi:10.5194/acp-16-933-2016.
Moseley, C., Hohenegger, C., Berg, P., Haerter, J.O. (2016): Intensification of convective extremes driven by cloud-cloud interaction, Nature Geoscience, doi:10.1038/ngeo2789.
Muppa, S. K., Behrendt, A., Späth, F., Wulfmeyer, V., Metzendorf, S., and Riede, A. (2016). Turbulent humidity fluctuations in the convective boundary layer: Case studies using water vapour differential absorption lidar measurements, Boundary-Layer Meteoro, 158(1), 43-66, doi:10.1007/s10546-015-0078-9
Senf, F. and Deneke, H. (2017): Uncertainties in synthetic Meteosat SEVIRI infrared brightness temperatures in the presence of cirrus clouds and implications for evaluation of cloud microphysics, Atmos.Res., 183, 113-129, dx.doi.org/10.1016/j.atmosres.2016.08.012
Stamnas, E., Lammert, A., Winkelmann, V., and Lang, U. (2016): The HD(CP)² Data Archive for Atmospheric Measurement Data, ISPRS Int. J. Geo-Inf., 5(7), 124, doi:10.3390/ijgi5070124.
Acquistapace, C., Kneifel, S., Löhnert, U., Kollias, P., Maahn, M., and Bauer-Pfundstein, M. (2017): Optimizing observations of drizzle onset with millimeter-wavelength radars, Atmos. Meas. Tech., 10, 1783-1802, Opens external link in new windowdoi:10.5194/amt-10-1783-2017.
Baumgartner, M. and Spichtinger, P. (2017): Diffusional growth of cloud particles: existence and uniqueness of solutions, Theor. Comput. Fluid Dyn., Opens external link in new windowdoi:10.1007/s00162-017-0437-x
Ebell, K., U. Löhnert, E. Päschke, E. Orlandi, J. H. Schween, and S. Crewell (2017): A 1-D variational retrieval of temperature, humidity, and liquid cloud properties: Performance under idealized and real conditions, J. Geophys. Res. Atmos., 122, 1746-1766, Opens external link in new windowdoi:10.1002/2016JD025945.
Foth, A. and Pospichal, B. (2017): Optimal estimation of water vapour profiles using a combination of Raman lidar and microwave radiometer, Atmos. Meas. Tech., 10, 3325-3344, Opens external link in new windowdoi:10.5194/amt-2017-77.
Gantner, L., Maurer, V., Kalthoff, N., and Kiseleva, O. (2017): The Impact of Land-Surface Parameter Properties and Resolution on the Simulated Cloud-Topped Atmospheric Boundary Layer, Boundary Layer Meteorology,Opens external link in new window doi:10.1007/s10546-017-0286-6.
Heinze, R., Moseley, C., Böske, L. N., Muppa, S. K., Maurer, V., Raasch, S., and Stevens, B. (2017): Evaluation of large-eddy simulations forced with mesoscale model output for a multi-week period during a measurement campaign, Atmos. Chem. Phys., 17, 7083-7109, Opens external link in new windowdoi:10.5194/acp-17-7083-2017.
Jakub, F. and Mayer, B. (2017): The Role of 1D and 3D Radiative Heating on the Organization of Shallow Cumulus Convection and the Formation of Cloud Streets, Atmos. Chem. Phys. Discuss., Opens external link in new windowdoi:10.5194/acp-2017-415, in review.
Klinger, C., Mayer, B., Jakub, F., Zinner, T., Park, S.-B., and Gentine, P. (2017): Effects of 3-D thermal radiation on the development of a shallow cumulus cloud field, Atmos. Chem. Phys., 17, 5477-5500, Opens external link in new windowdoi:10.5194/acp-17-5477-2017.
Macke, A., Seifert, P., Baars, H., Beekmans, C., Behrendt, A., Bohn, B., Bühl, J., Crewell, S., Damian, T., Deneke, H., Düsing, S., Foth, A., Di Girolamo, P., Hammann, E., Heinze, R., Hirsikko, A., Kalisch, J., Kalthoff, N., Kinne, S., Kohler, M., Löhnert, U., Madhavan, B. L., Maurer, V., Muppa, S. K., Schween, J., Serikov, I., Siebert, H., Simmer, C., Späth, F., Steinke, S., Träumner, K., Wehner, B., Wieser, A., Wulfmeyer, V., and Xie, X. (2017): The HD(CP)2 Observational Prototype Experiment HOPE – An Overview, Atmos. Chem. Phys. Discuss., doi:10.5194/acp-2016-990.
Poll, S., Shrestha, P., and Simmer, C. (2017): Modelling convectively induced secondary circulations in the terra incognita with TerrSysMP., Q.J.R. Meteorol. Soc., Opens external link in new windowdoi:10.1002/qj.3088
Spreitzer, E. J., Marschalik, M. P., and Spichtinger, P. (2017): Subvisible cirrus clouds – a dynamical system approach, Nonlin. Processes Geophys., 24, 307-328, Opens external link in new windowdoi.org/10.5194/npg-24-307-2017.
The document Publications_2018.pdf summarizes the publications stem from work in the consortium project HD(CP)².
DOI: 10.1175/JTECH-D-18-0158.1,
Acquistapace, C., U. Löhnert, M. Maahn, and P. Kollias (2019): A New Criterion to Improve Operational Drizzle Detection with Ground-Based Remote Sensing. J. Atmos. Oceanic Technol., 36, 781–801
DOI: 10.1175/BAMS-D-18-0174.1,
Lammert, A., A. Hansen, F. Ament, S. Crewell, G. Dick, V. Grützun, H. Klein-Baltink, V. Lehmann, A. Macke, B. Pospichal, W. Schubotz, P. Seifert, E. Stamnas, and B. Stevens (2019): A Standardized Atmospheric Measurement Data (SAMD) Archive for distributed cloud and precipitation process-oriented observations in Central Europe. Bull. Amer. Meteor. Soc
DOI: 10.5194/acp-2019-322,
Marke, T., U. Löhnert, V. Schemann, and S. Crewell 2019: “Land surface induced water vapor patterns”, Atmospheric Chemistry and Physics (submitted)
DOI: 10.1175/JCLI-D-18-0810.1,
Voigt, A., N. Albern, and G. Papavasileiou (2019): The atmospheric pathway of the cloud-radiative impact on the circulation response to global warming: important and uncertain. J. Climate, 32
Montserrat Costa-Surós, Odran Sourdeval, Claudia Acquistapace, Holger Baars, Cintia Carbajal Henken, Christa Genz, Jonas Hesemann, Cristofer Jimenez, Marcel König, Jan Kretzschmar, Nils Madenach, Catrin Meyer, Roland Schrödner, Patric Seifert, Fabian Senf, Matthias Brueck, Guido Cioni, Jan Frederik Engels, Kerstin Fieg, Ksenia Gorges, Rieke Heinze, Pavan Kumar Siligam, Ulrike Burkhardt, Susanne Crewell, Corinna Hoose, Axel Seifert, Ina Tegen, and Johannes Quaas: Detection and attribution of aerosol-cloud interactions in large-domain large-eddy simulations with ICON. Submitted to ACP
Stevens, B., and HDCP2 - Added Value Team, Journal of the Meteorological Society of Japan, Large-eddy and storm resolving models for Climate Prediction - The Added Value for Clouds and Precipitation 2019, in review
Rybka, H., Köhler, M., Seifert, A., Burkhardt, U., Arka, I., Bugliaro, L., Reichardt, J., Görsdorf, U., Meyer, C., Strandgren, J., Horvath, A. - High-resolution modeling of high-CAPE summer convection -role of ice microphysics and large-scale forcing, in preparation.
Papavasileiou, G., Voigt, A., Knippertz, P., Simpson, I., Medeiros, B. (2019): The role of cloudradiative effects and diabatic processes for short-term dynamics of the North Atlantic Oscillation, in preparation.
DOI: doi:10.1029/2017RG000593,
Grosvenor, D. P., O. Sourdeval, P. Zuidema, A. Ackerman, M. D. Alexandrov, R. Bennartz, R. Boers, B. Cairns, C. Chiu, M. Christensen, H. Deneke, M. Diamond, G. Feingold, A. Fridlind, A. Hünerbein, C. Knist, P. Kollias, A. Marshak, D. McCoy, D. Merk, D. Painemal, J. Rausch, D. Rosenfeld, H. Russchenberg, P. Seifert, K. Sinclair, P. Stier, B. Van Diedenhoven, M. Wendisch, F. Werner, R. Wood, Z. Zhang, and J. Quaas, Remote sensing of cloud droplet number concentration in warm clouds: A review of the current state of knowledge and perspectives, Rev. Geophys., 56, 409-453,
DOI: 10.1175/JAMC-D-17-0341.1.,
Marke, T., S. Crewell, V. Schemann, J. H. Schween, and M. Tuononen, 2018: Long-Term Observations and High Resolution Modeling of Mid-Latitude Nocturnal Boundary-Layer Processes Connected to Low-Level-Jets, J. Appl. Meteor. Climatol., 57, 1155–1170
Haerter J.O. , B. Meyer, S. B. Nissen, 2020, Diurnal self-aggregation, npj Climate and Atmospheric Science, 3, 30
DOI: 10.1002/2017GL076726,
Schäfer, S. A. K. and A. Voigt (2018). Radiation weakens idealized midlatitude cyclones. Geophysical Research Letters, 45, 2833–2841
Singh, 2020, Convective precipitation simulated with ICON over heterogeneous surfaces in dependence on model and land-surface resolution, PhD thesis
DOI: 10.1175/JCLI-D-18-0810.1,
Voigt, A., N. Albern, and G. Papavasileiou (2019): The atmospheric pathway of the cloud-radiative impact on the circulation response to global warming: important and uncertain. J. Climate, 32
Rybka, H., Köhler, M., Seifert, A., Burkhardt, U., Arka, I., Bugliaro, L., Reichardt, J., Görsdorf, U., Meyer, C., Strandgren, J., Horvath, A. - High-resolution modeling of high-CAPE summer convection - role of ice microphysics and large-scale forcing, in review.
Poll S., P. Shrestha, C. Simmer, 2020, Grid Resolution Dependency of Land Surface Heterogeneity Effects on Boundary Layer Structure, QJRMS, under review Singh S., L. Gantner, N. Kalthoff, 2020, Sensitivity of convective precipitation to model grid spacing and land-surface resolution in ICON. QJRMS, under review
Henneberg O. , B. Meyer, J. O. Haerter, 2020, Particle‐Based Tracking of Cold Pool Gust Fronts, Journal of Advances in Modeling Earth Systems 12 (5),e2019MS001910
Fournier M. B., J. O. Haerter, 2019, Tracking the gust fronts of convective cold pools, Journal of Geophysical Research: Atmospheres 124 (21), 11103-11117
Verma, P. and U. Burkhardt: Contrail formation within cirrus: high-resolution simulations using ICON- LEM, in preparation.
Nissen S. B. and J. O. Haerter, The initial symmetry breaking in convective self-aggregation, under review
Poll S., 2021, Land Surface Heterogeneity Effects on Boundary Layer Structure in Climate Simulations, PhD thesis, in progress
DOI: 10.1175/JCLI-D-20-0073.1,
Albern, N., A. Voigt, D. W. J. Thompson, and J. G. Pinto (2020). The role of tropical, midlatitude, and polar cloud-radiative changes for the midlatitude circulation response to global warming. J Clim 33 (18)
Verma, P.: Contrail formation within cirrus and their impact on cirrus cloudiness, PhD thesis in preparation
Costa-Surós, M. et al - Detection and attribution of aerosol-cloud interactions in large-domain large- eddy simulations with ICON, 2020.
DOI: doi.org/10.2151/jmsj.2020-021,
Stevens, B., Acquistapace, C., Hansen, A., Heinze, R., Klinger, C., Klocke, D., ... & Arka, I. , 2020, The added value of large-eddy and storm-resolving models for simulating clouds and precipitation. Journal of the Meteorological Society of Japan. Ser. II.
Moseley C. , O. Henneberg, J. O. Haerter, 2019, A statistical model for isolated convective precipitation events, Journal of Advances in Modeling Earth Systems 11 (1), 360-375
Albern, N., A. Voigt, J. G. Pinto: Tropical Cloud-Radiative Changes Contribute to Wintertime North Atlantic Jet Exit Strengthening under global warming, in preparation.
Choudhary, A., and Voigt, A., ICON simulations of cloud-diabatic processes in a warm conveyor belt of an extratropical cyclone: A case study, to be submitted to QJRMS in the coming weeks.
DOI: 10.1029/2018MS001592.,
Albern, N., A. Voigt, and J. G. Pinto (2019). Cloud-radiative impact on the regional responses of the midlatitude jet streams and storm tracks to global warming. J. Adv. Model. Earth Sys. 11 (7)
Singh et al., 2020, Resolved and un-resolved: Convective triggering mechanism in ICON, in progress
Papavasileiou, G., Voigt, A., Knippertz, P., Simpson, I., Medeiros, B. (2020): The role of diabatic processes for the dynamics of the North Atlantic Oscillation on synoptic time-scales in ICON and CAM, in preparation
DOI: 10.1029/2020JD032667.,
Senf, F., A. Voigt, N. Clerbaux, A. Hünerbein, and H. Deneke (2020), Increasing Resolution and Resolving Convection Improve the Simulation of Cloud-Radiative Effects Over the North Atlantic, J. Geophys. Res. Atmos., 125(19), e2020JD032667
832: Cloud-resolving modeling of contrails and cirrus
Unterstrasser, S. and K. Graf, 2014: Contrail-cirrus evolution with EULAG-LCM and CoCiP – A comparative study, WeCare-Projekbericht, 17 Seiten
Unterstrasser, S., 2015: Properties of young contrails - A parametrisation based on Large Eddy Simulations, ACPD
Unterstrasser, S. and N. Görsch, 2014: Aircraft-type dependency of contrail evolution, J. Geophys. Res. Atmos.,119,14,015-14,027, doi:10.1002/2014JD022642
Unterstrasser, S., 2014 : Large-eddy simulation study of contrail microphysics and geometry during the vortex phase and consequences on contrail-to-cirrus transition, J. Geophys. Res. Atmos.,119,7537-7555, doi:10.1002/2013JD021418
Unterstrasser, S. , I. Sölch, 2014: Optimisation of the simulation particle number in a Lagrangian ice microphysical model, Geosci. Model Dev.,7, 695-709
Unterstrasser, S., R. Paoli, I. Sölch, C. Kühnlein, T. Gerz, 2014: Dimension of aircraft exhaust plumes at cruise conditions: effect of wake vortices, Atmos. Chem. Phys. , 14, 2713-2733
Unterstrasser, S., R. Paoli, I. Sölch, and C. Kühnlein. Dilution and Extent of Aircraft Plumes at Cruise Conditions: Effect of Wake Vortices. Atmos. Chem. Phys., 0(0):subm., 2013
Unterstrasser, S. and I. Sölch. Speeding up a Lagrangian ice microphysics scheme. Geosci.Model Dev. Discuss., 6:3787-3817, 2013
Unterstrasser, S.. Large eddy simulation study of contrail microphysics and geometry during the vortex phase and consequences on contrail-to-cirrus transition. in prep
Unterstrasser, S., K. Gierens, I. Sölch, M. Lainer: Numerical simulations of homogeneously nucleated natural cirrus and contrail-cirrus. Part 1: How different are they?, Meteorol. Z., accepted
Unterstrasser, S., K. Gierens, I. Sölch, M. Wirth: Numerical simulations of homogeneously nucleated natural cirrus and contrail-cirrus. Part 2: Interaction on local scale, Meteorol. Z., accepted
Unterstrasser, S.: Properties of young contrails - a parametrisation based on large eddy simulations, Atmos. Chem. Phys., 2016, 16, 2713-2733
Unterstrasser, S. and N. Görsch: Aircraft-type dependency of contrail evolution, J. Geophys. Res. Atmos., 2014, 119, 14015-14027, doi:10.1002/2014JD022642
Unterstrasser, S. : Large-eddy simulation study of contrail microphysics and geometry during the vortex phase and consequences on contrail-to-cirrus transition, J. Geophys. Res. Atmos., 2014, 119, 7537-7555, doi:10.1002/2013JD021418
Unterstrasser, S. , I. Sölch: Optimisation of the simulation particle number in a Lagrangian ice microphysical model, Geosci. Model Dev., 2014, 7, 695-709
Unterstrasser, S., R. Paoli, I. Sölch, C. Kühnlein, T. Gerz: Dimension of aircraft exhaust plumes at cruise conditions: effect of wake vortices, Atmos. Chem. Phys., 2014, 14, 2713-2733
Grewe,..., Unterstrasser,...: Assessing the climate impact of the AHEAD multi-fuel blended wing body, Meteorol. Z. ., accepted
Unterstrasser, S., K. Gierens, I Sölch and M. Wirth, 2017b: Numerical simulations of homogeneously nucleated natural cirrus and contrail-cirrus. Part 2: Interaction on local scale, Meteorl. Z., 26, 643-661
Gruber, S., S. Unterstrasser, J. Bechtold, H. Vogel, M. Jung, H. Pak, B. Vogel, 2018: Contrails and their impact on shortwave radiation and photovoltaic power production - A regional model study, Atmos. Chem. Phys., 18, 6393-6411
Unterstrasser, S., K. Gierens, I. Sölch and M. Lainer, 2017a: Numerical simulations of homogeneously nucleated natural cirrus and contrail-cirrus. Part 1: How different are they?, Meteorl. Z., 26, 621-642
Unterstrasser, S. : The contrail mitigation potential of aircraft formation flight derived from high-resolution simulations, Aerospace in review
DOI: 10.1017/aer.2020.3,
Unterstrasser, S. & A. Stephan: Far field wake vortex evolution of two aircraft formation flight and implications on young contrails,The Aeronautical Journal, 124, 667-702, 2020
Marks, T.; Dahlmann, K.; Grewe, V.; Gollnick, V.; Linke, F.; Matthes, S.; Stumpf, E.; Unterstrasser, S.; Yamashita, H.; Zumegen, C.: Climate Impact Mitigation Potential of Formation Flight. Aerospace in review.
Dahlmann, K.; Matthes, S.; Yamashita, H.; Unterstrasser, S.and Grewe, V.; Marks, T.: Assessing the climate impact of formation flights. Aerospace in review
DOI: 10.5194/gmd-13-5119-2020,
Unterstrasser, S. , F. Hoffmann, M. Lerch: Collisional growth in a particle-based cloud microphysical model: Insights from column model simulations using LCM1D (v1.0), Geosci. Model Dev., 13, 5119–5145, 2020
DOI: 10.3390/aerospace7120170,
Unterstrasser, S., 2020: The contrail mitigation potential of aircraft formation flight derived from high-resolution simulations, Aerospace 7(12), 170
DOI: 10.3390/aerospace7120172,
Dahlmann, K., Matthes, S., Yamashita, H., Unterstrasser, S. , Grewe, V., Marks, T., 2020: Assessing the Climate Impact of Formation Flights, Aerospace 7(12), 172
DOI: 10.3390/aerospace8010014,
Marks, T., Dahlmann, K., , Grewe, V., Gollnick, V., Linke, F., Matthes, S., Stumpf, E., Swaid, M., Unterstrasser, S. , Yamashita, H., Zumegen, C., 2021: Climate Impact Mitigation Potential of Formation Flight, Aerospace 8(1), 14
DOI: 10.5194/gmd-13-5119-2020,
Unterstrasser, S. , F. Hoffmann, M. Lerch: Collisional growth in a particle-based cloud microphysical model: Insights from column model simulations using LCM1D (v1.0), Geosci. Model Dev., 13, 5119–5145, 2020
DOI: 10.5194/acp-2021-361,
Bier, A., S. Unterstrasser, X. Vancassel, 2021: Box model trajectory studies of contrail formation using a particle-based cloud microphysics scheme, ACPD
DOI: 10.5194/acp-22-823-2022,
Bier, A., Unterstrasser, S., and Vancassel, X.: Box model trajectory studies of contrail formation using a particle-based cloud microphysics scheme, Atmos. Chem. Phys., 22, 823–845, https://doi.org/10.5194/acp-22-823-2022, 2022
Salah, A.,: High Resolution Simulations of Turbulent Jet Expansion with EULAG-LES; Master’s Thesis; Computational Science and Engineering (International Master’s Program); June 1st, 2022
https://egusphere.copernicus.org/preprints/2023/egusphere-2023-1321/
831: The impact of black carbon on air quality and climate in the Arctic and the Himalayas
Cavazos Guerra, C. and Lauer, A. (2014): The importance of physical parameterizations in WRF to reproduce atmospheric dynamics and BC transport in the arctic region: A sensitivity study - International REKLIM conference „Our climate our future; regional perspectives on a global challenge“. Conference proceedings, programme, abstracts, (Terra Nostra ; 2014), International REKLIM conference „Our climate our future; regional perspectives on a global challenge“ (Berlin, Germany 2014), p. 43-44.
Mues and A. Lauer (2014) Air Quality modeling in the Kathmandu Valley and its surrounding, presentation at international REKLIM conference “Our Climate – Our Future, Regional perspectives on a global challenge”, Berlin, Germany
* Cavazos-Guerra C., Lauer, A. and Rosenthal, E. (2017). Book Chapter: Clean Air and White Ice: Governing Black Carbon Emissions affecting the Arctic in “Arctic Governance in Global Perspective” Edited by K. Keil and S. Knecht. Palgrave Macmillan; doi: 10.1057/978-1-137-50884-3. In press: http://www.palgrave.com/br/book/9781137508836. * Cavazos Guerra, C., Lauer, A., Herber, A. B., Butler, T. M., Rinke, A., and Dethloff, K. (2016)Implications on atmospheric dynamics and the effect on black carbon transport into the Eurasian Arctic based on the choice of land surface model schemes and reanalysis data in model simulations with WRF, Atmos. Chem. Phys. Discuss., doi:10.5194/acp-2016-942. http://www.atmos-chem-phys-discuss.net/acp-2016-942/ * Cavazos-Guerra C., Lauer, A., Herber, A., Butler, B. (2016) Contribution of local emissions and the long-range transport to the black carbon concentrations in the Eurasian Arctic in WRF-Chem model simulations. Finnish Association for Aerosol Research(FAAR): Proceedings of the 2nd Pan-Eurasian Experiment (PEEX) Conference and the 6th PEEX Meeting, Editors: Hanna K. Lappalainen, Alla Borisova, Dong Liang, Joonas Enroth and Markku Kulmala. http://www.atm.helsinki.fi/FAAR/reportseries/rs-180.pdf * C Cavazos Guerra, A Lauer, A B Herber, T M Butler (2016) Implications of the choice of land surface model schemes and reanalyzes data for initialization in model simulations with WRF to characterize atmospheric dynamics and the effect on black carbon concentrations into the Eurasian Arctic. presented at 2016 Fall Meeting, AGU, San Francisco, California, USA.12-17 December 2016
829: IMPACT2C_DATA
http://impact2c.hzg.de/030738/index_0030738.html.en https://www.atlas.impact2c.eu/en/
820: ISI-MIP Inter-Sectoral Impact Model Intercomparison Project
Frieler, K., et al.: Assessing the impacts of 1.5 °C global warming – simulation protocol of the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP2b), Geosci. Model Dev. Discuss., doi:10.5194/gmd-2016-229, in review, 2016. http://www.geosci-model-dev-discuss.net/gmd-2016-229/
The Inter-Sectoral Impact Model Intercomparison Project (ISI–MIP): Project framework
The reference for the currently running simulation phase, ISIMIP2b, is Frieler et al. (2016, GMDD, 10.5194/gmd-2016-229). An overview of recent publications based on ISIMIP, including many published this year, is available at https://www.isimip.org/outcomes/.
DOI: 10.1111/gcb.14512,
Twenty‐first‐century climate change impacts on marine animal biomass and ecosystem structure across ocean basins
DOI: 10.1002/ecs2.2616,
Tree mortality submodels drive simulated long‐term forest dynamics: assessing 15 models from the stand to global scale
DOI: 10.1038/s41467-019-08745-6,
State-of-the-art global models underestimate impacts from climate extremes
DOI: 10.5194/gmd-12-3055-2019,
Trend-preserving bias adjustment and statistical downscaling with ISIMIP3BASD (v1.0)
DOI: 10.1073/pnas.1900194116,
Global ensemble projections reveal trophic amplification of ocean biomass declines with climate change
DOI: 10.1111/jbi.13696,
A comparison of macroecological and stacked species distribution models to predict future global terrestrial vertebrate richness
DOI: 10.1088/1748-9326/ac5dee,
Veronika Huber, Cristina Peña Ortiz, David Gallego Puyol, Stefan Lange and Francesco Sera Evidence of rapid adaptation integrated into projections of temperature-related excess mortality Environmental Research Letters, Volume 17, Number 4 (2022)
DOI: 10.5194/gmd-15-4597-2022,
Golub, M., Thiery, W., Marcé, R., Pierson, D., Vanderkelen, I., Mercado-Bettin, D., Woolway, R.I., Grant, L., Jennings, E., Kraemer, B.M., Schewe, J., Zhao, F., Frieler, K., Mengel, M., Bogomolov, V.Y., Bouffard, D., Côté, M., Couture, R.-M., Debolskiy, A.V., Droppers, B., Gal, G., Guo, M., Janssen, A.B.G., Kirillin, G., Ladwig, R., Magee, M., Moore, T., Perroud, M., Piccolroaz, S., Raaman Vinnaa, L., Schmid, M., Shatwell, T., Stepanenko, V.M., Tan, Z., Woodward, B., Yao, H., Adrian, R., Allan, M., Anneville, O., Arvola, L., Atkins, K., Boegman, L., Carey, C., Christianson, K., de Eyto, E., DeGasperi, C., Grechushnikova, M., Hejzlar, J., Joehnk, K., Jones, I.D., Laas, A., Mackay, E.B., Mammarella, I., Markensten, H., McBride, C., Özkundakci, D., Potes, M., Rinke, K., Robertson, D., Rusak, J.A., Salgado, R., van der Linden, L., Verburg, P., Wain, D., Ward, N.K., Wollrab, S., Zdorovennova, G. A framework for ensemble modelling of climate change impacts on lakes worldwide: the ISIMIP Lake Sector Geoscientific Model Development, 15, 4597–4623 (2022)
DOI: 10.1111/gcb.16298,
ansen, J., Woolway, R.I., Kraemer, B.M., Albergel, C., Bastviken, D., Weyhenmeyer, G.A., Marcé, R., Sharma, S., Sobek, S., Tranvik, L., Perroud, M., Golub, M. Moore, T.N., Vinna, L.R., La Fuente, S., Grant, L., Pierson, D.C., Thiery, W., Jennings, E. Global increase in methane production under future warming of lake bottom waters Global Change Biology, https://doi.org/10.1111/gcb.16298 (2022)
DOI: 10.5194/hess-26-3731-2022,
Busschaert, L., de Roos, S., Thiery, W., Raes, D., De Lannoy, G.J.M. Net irrigation requirement under different climate scenarios using AquaCrop over Europe Hydrology and Earth System Sciences, 26, 3731-3752 (2022)
DOI: 10.1111/gcb.16384,
M. Mahnken, M. Cailleret, A. Collalti, C. Trotta, C. Biondo, E. D’Andrea, D. Dalmonech, G. Marano, A. Mäkelä, F. Minunno, M. Peltoniemi, V. Trotsiuk, D. Nadal-Sala, S. Sabaté, P. Vallet, R. Aussenac, D. R. Cameron, F. J. Bohn, R. Grote, A. L. D. Augustynczik, R. Yousefpour, N. Huber, H. Bugmann, K. Merganicova, J. Merganic, P. Valent, P. Lasch-Born, F. Hartig, I. D. Vega del Valle, J. Volkholz, M. Gutsch, G. Matteucci, J. Krejza, A. Ibrom, H. Meesenburg, T. Rötzer, M. van der Maaten-Theunissen, E. van der Maaten, C. P. O. Reyer Accuracy, realism and general applicability of European forest models Global Change Biology (2022)
DOI: 10.1088/1748-9326/ac8ca1,
Anne Gädeke, Michel Wortmann, Christoph Menz, AKM Saiful Islam, Muhammad Masood, Valentina Krysanova, Stefan Lange and Fred Fokko Hattermann Climate impact emergence and flood peak synchronization projections in the Ganges, Brahmaputra and Meghna basins under CMIP5 and CMIP6 scenarios Environ. Res. Lett. 17, 094036 (2022)
DOI: 10.1029/2021EF002138,
Yin LC, Tao FL, Zhai R, Chen Y, Hu J, Wang ZH, Fu BJ Impacts of Future Climate Change and Atmospheric CO2 Concentration on Ecosystem Water Retention Service Earth's Future, 10 (2022)
DOI: 10.1038/s41467-022-33112-3,
Klitting, R., Kafetzopoulou, L.E., Thiery, W., Dudas, G., Gryseels, S., Kotamarthi, A., Vrancken, B., Gangavarapu, K., Momoh, M., Sandi, J.D., Goba, A., Alhasan, F., Grant, D.S., Okogbenin, S., Ogbaini-Emovo, E., Garry, R.F., Smither, A.R., Zeller, M., Pauthner, M.G., McGraw, M., Hughes, L.D., Duraffour, S., Günther, S., Suchard, M.A., Lemey, P., Andersen, K.G., Dellicour, S. Predicting the evolution of Lassa Virus endemic area and population at risk over the next decades Nature Communications, 13, 5596 (2022)
DOI: 10.1088/1748-9326/ac592e,
Stefanie Heinicke , Katja Frieler, Jonas Jägermeyr and Matthias Mengel Global gridded crop models underestimate yield responses to droughts and heatwaves Environ. Res. Lett. 17 044026 (2022)
DOI: 10.1016/j.agrformet.2022.109203,
Dalmonech D., Marano G., Amthor J., Cescatti A., Lindner M, Trotta C., Collalti A. Feasibility of enhancing carbon sequestration and stock capacity in temperate and boreal European forests via changes to management regimes Agricultural and Forest Meteorology 327 (2022) 109203 (2022)
DOI: 10.1016/j.gloenvcha.2023.102667,
Chae Yeon Park, Kiyoshi Takahashi, Fang Li, Junya Takakura, Shinichiro Fujimori, Tomoko Hasegawa, Akihiko Ito, Dong Kun Lee, Wim Thiery Impact of climate and socioeconomic changes on fire carbon emissions in the future: Sustainable economic development might decrease future emissions Global Environmental Change (2023)
DOI: 10.5194/essd-15-1675-2023,
von Schuckmann, K., Minère, A., Gues, F., Cuesta-Valero, F.J., Kirchengast, G., Adusumilli, S., Straneo, F., Allan, R., Barker, P.M., Beltrami, H., Boyer, T., Cheng, L., Church, J., Desbruyeres, D., Dolman, H., Domingues, C.M., García-García, A., Giglio, D., Gilson, J.E., Gorfer, M., Haimberger, L., Hendricks, S., Hosoda, S., Johnson, G.C., Killick, R., King, B., Kolodziejczyk, N., Korosov, A., Krinner, G., Kuusela, M., Langer, M., Lavergne, T., Lawrence, I., Li, Y., Lyman, J., Marzeion, B., Mayer, M., MacDougall, A., McDougall, T., Monselesan, D.P., Nitzbon, J., Otosaka, I., Peng, J., Purkey, S., Roemmich, D., Sato, K., Sato, K., Savita, A., Schweiger, A., Shepherd, A., Seneviratne, S.I., Simons, L., Slater, D.A., Slater, T., Smith, N., Steiner, A., Suga, T., Szekely, T., Thiery, W., Timmermans, M.-L., Vanderkelen, I., Wjiffels, S.E., Wu, T., Zemp, M. Heat stored in the Earth system 1960-2020: Where does the energy go? Earth System Sciences Data, 15, 1675–1709 (2023)
DOI: 10.1111/geb.13646,
Matthias F. Biber, Alke Voskamp, Christian Hof Potential effects of future climate change on global reptile distributions and diversity Global Ecology and Biogeography (2023)
DOI: 10.1088/1748-9326/accd83,
Bauer, N., Keller, D.P., Garbe, J., Karstens, K., Piontek, F., von Bloh, W., Thiery, W., Zeitz, M., Mengel, M., Strefler, J., Thonicke, K., Winkelmann, R. Exploring risks and benefits of overshooting a 1.5°C carbon budget over space and time Environmental Research Letters, 18(5), 054015 (2023)
DOI: 10.5194/esd-14-609-2023,
Cuesta-Valero, F.J., Beltrami, H., García-García, A., Krinner, G., Langer, M., MacDougall, A.H., Nitzbon, J., Peng, J., von Schuckmann, K., Seneviratne, S.I., Thiery, W., Vanderkelen, I., Wu, T. Continental heat storage: Contributions from ground, inland waters, and permafrost thawing Earth system dynamics, 14, 609-627 (2023)
DOI: 10.1016/j.scitotenv.2023.164274,
Jun Zhou, Chuanhao Wu, Pat J.-F. Yeh, Jiali Ju, Lulu Zhong, Saisai Wang, Junlong Zhang Anthropogenic climate change exacerbates the risk of successive flood-heat extremes: Multi-model global projections based on the Inter-Sectoral Impact Model Intercomparison Project Science of The Total Environment (2023)
DOI: 10.1126/science.adf5848,
Carlino, A., Wildemeersch, M., Chawanda, C.J., Giuliani, M., Sterl, S., Thiery, W., van Griensven, A., Castelletti, A. Declining cost of renewables and climate change curb the need for African hydropower expansion Science, 381 (6658), 645 (eadf5848) (2023)
819: PAK-Sturm2
Befort, D.J., U. Ulbrich, A. Ganske, G. Rosenhagen, H. Heinrich, G.C. Leckebusch, 2012: Wind Induced Storm Surge Risk in the German Bight: Present Day Climate and GHG Scenario. Geophysical Research Abstracts Vol. 14, EGU2012-12007, EGU General Assembly 2012
807: MiKlip II Module D - Synthesis
Marotzke, J., W. A. Müller, F. S. E. Vamborg, P. Becker, U. Cubasch, H. Feldmann, F. Kaspar, C. Kottmeier, C. Marini, I. Polkova, K. Prömmel, H. W. Rust, D. Stammer, U. Ulbrich, C. Kadow, A. Köhl, J. Kröger, T. Kruschke, J. G. Pinto, H. Pohlmann, M. Reyers, M Schröder, F. Sienz, C. Timmreck, M. Ziese, 2016: MiKlip - a National Research Project on Decadal Climate Prediction. Bull. Amer. Meteor. Soc. doi:10.1175/BAMS-D-15-00184.1
Pohlmann, H., W. A. Müller, K. Kulkarni, M. Kameswarrao, D. Matei, F. Vamborg, C. Kadow, S. Illing, and J. Marotzke (2013): Improved forecast skill in the tropics in the new MiKlip decadal climate predictions. Geophys. Res. Lett., accepted
804: Mid-latitude ocean-atmosphere interaction
Hand R., N.S. Keenlyside , N. Omrani & M. Latif (2012) Simulated response to inter-annual SST variations in the Gulf Stream region, submitted to Climate Dynamics
Omrani, N. E., N. S. Keenlyside, B. J., and M. E. (2012), Stratosphere key for wintertime atmospheric response to Atlantic warm decadal changes, Submitted to Climate dynamics.
802: COSMO-CLM simulations with 2-way nesting
Weiher etal (2015), in preparation for submission to GMD
Will et al. (2017) The COSMO-CLM 4.8 regional climate model coupled to regional ocean, land surface and global earth system models using OASIS3-MCT: description and performance, GMD, 10, 1-38
Will,A., N. Akhtar, J. Brauch, M. Breil, E. Davin, H. T. M. Ho-Hagemann, E. Maisonnave, M. Thürkow, and S. Weiher (2017): The COSMO-CLM 4.8 regional climate model coupled to regional ocean, land surface and global earth system models using OASIS3-MCT: description and performance. Geoscientific Model Development, 10:1549–1586, doi:10.5194/gmd-10-1549-2017 Ogaja, J., A. Will (2016): Will Fourth order, conservative discretization of horizontal Euler equations in the COSMO model and regional climate simulations. Met.Z., DOI 10.1127/metz/2016/0645
801: MiKlip II Module A: Determination of initial conditions and initialization
Romanova, V. and A. Hense, 2015: Anomaly Transform Methods Based on Total Energy and Ocean Heat Content Norms for Generating Ocean Dynamic Disturbances for Ensemble Climate Forecasts. ClimDyn. DOI: 10.1007/s00382-015-2567-4
Brune, S., L. Nerger, J. Baehr, 2015: Assimilation of oceanic observations in a global coupled Earth system model with the SEIK filter, Ocean Modelling, 96, Part 2, 254 – 264.
Stacke, T. and Hagemann, S.: Lifetime of soil moisture perturbations in a coupled land–atmosphere simulation, Earth Syst. Dynam., 7, 1-19, doi:10.5194/esd-7-1-2016, 2016
Marini, C., I. Polkova, A. Köhl, D. Stammer, 2016: A comparison of two ensemble generation methods using oceanic singular vectors and atmospheric lagged initialization for decadal climate prediction. Monthly Weather Review, 144, 2719-2738, DOI: http://dx.doi.org/10.1175/MWR-D-15-0350.1
Romanova, V. and Hense, A., 2015: Anomaly Transform Method Based on Total Energy and Ocean Heat Content Norms for Generating Ocean Dynamic Disturbances for Interannual to Decadal Climate Forecasts, Clim. Dyn., DOI 10.1007/s00382-015-2567-4
Brune, S., L. Nerger, J. Baehr, 2015: Assimilation of oceanic observations in a global coupled Earth system model with the SEIK filter, Ocean Modelling, accepted.
Stacke, T. and Hagemann, S.: Life time of soil moisture perturbations in a coupled landatmosphere simulation, Earth Syst. Dynam. Discuss., 6, 1743-1788, doi:10.5194/esdd-6-1743- 2015, 2015.
Marini, C., Polkova, I., Koehl. A., Stammer, D., 2015: A comparison of two ensemble generation methods using oceanic singular vectors and atmospheric lagged initialization for decadal climate prediction, submitted to Mon.Weath.Rev.
798: Coupled ocean - atmosphere feedbacks in Arctic and northern North Atlantic
Sein, D. V., U. Mikolajewicz, M. Gröger, I. Fast, W. Cabos, J. G. Pinto, S. Hagemann, T. Semmler, A. Izquierdo, and D. Jacob (2015), Regionally coupled atmosphere-ocean-sea ice-marine biogeochemistry model ROM: 1. Description and validation, J. Adv. Model. Earth Syst., 7,268–304, doi:10.1002/2014MS000357
Sein, D. V., Koldunov, N. V. , Pinto, J. G. and Cabos, W. (2014): Sensitivity of simulated regional Arctic climate to the choice of coupled model domain , Tellus A, 66 , p. 23966 . doi: 10.3402/tellusa.v66.23966
797: Thermosphere and Ionosphere Extension of an Earth-System Model
Baumgärtner et al., in F.J. Lübken (ed.), Climate and Weather of the Sun-Earth System (CAWSES), Springer Dordrecht, 2012
Vlasov A., Baumgärtner A., Versick S., Reddmann T., The current staus of EMAC-CMAT. Oral presentation at 2nd Annual EMAC Symposium, 14-16 February, Mainz, Germany.
Vlasov A.., Baumgärtner A., Versick S., Reddmann T., On the Role of Gravity Waves in the chemical Coupling inside the Mesosphere-Lower Thermosphere Region. Poster at “European Research Course on Atmospheres”, 9 January -10 February 2012, Grenoble, France.
796: Sea Level Contribution from Antarctica
Levermann et al., Projecting Antarctic ice discharge using response functions from SeaRISE ice-sheet models, The Cryosphere Discuss., 6, 3447-3489, 2012
785: MiKlip Prodef - Probabilistic decadal forecast for Europe
Seregina LS, Haas R, Born K, Pinto JG (2014): Development of a wind gust model to estimate gust speeds and their return periods. Tellus A, 66: 22905. doi:10.3402/tellusa.v66.22905
Haas R, Pinto JG (2012): A combined statistical and dynamical approach for downscaling large-scale footprints of European windstorms. Geophys. Res. Lett., 39: L23804. doi:10.1029/2012GL054014.
Haas R, Pinto JG, Born K (2014): Can dynamically downscaled windstorm footprints be improved by observations through a probabilistic approach? J. Geophys. Res. – Atmospheres, 119: 713–725. doi:10.1002/2013JD020882
Haas R, Reyers M, Pinto JG (2015): Decadal predictability of regional-scale peak winds over Europe using the Earth System Model of the Max-Planck-Institute for Meteorology. Meteorologische Zeitschrift. DOI:10.1127/metz/2015/0583.
Moemken J, Reyers M, Buldmann B, Pinto JG (2015): Decadal predictability of regional scale wind speed and wind energy potentials over Central Europe. Tellus A (eingereicht).
Reyers M, Pinto JG, Moemken J (2015): Statistical-dynamical downscaling for wind energy potentials: Evaluation and applications to decadal hindcasts and climate change projections. Int. J. Clim., 35: 229-244. doi: 10.1002/joc.3975.
A combined statistical and dynamical approach for downscaling large-scale footprints of European windstorms
Regional changes in wind energy potential over Europe using regional climate model ensemble projections
Born K, Ludwig P, Pinto JG (2012) Wind gust estimation for Mid-European winter storms: towards a probabilistic view. Tellus A 64:17471 doi:10.3402/tellusa.v64i0.17471
782: SHARP
Brinkop, S., Dameris, M., Jöckel, P., Garny, H., Lossow, S., & Stiller, G.: The millennium water vapour drop in chemistry-climate model simulations, Atmospheric Chemistry and Physics, 16, 8125–8140, doi: 10.5194/acp-16-8125-2016, URL http://www.atmos-chem-phys.net/16/8125/2016/ (2016)
Löffler, M., Brinkop, S., & Jöckel, P.: Impact of major volcanic eruptions on stratospheric water vapour, Atmospheric Chemistry and Physics, 16, 6547–6562, doi: 10.5194/acp-16-6547-2016, URL http://www.atmos-chem-phys.net/16/6547/2016/ (2016)
Eichinger, R., Jöckel, P., Lossow, S.: Simulation of the isotopic composition of stratospheric water vapour - Part2, 2015: Investigation of HDO/H2O variations. Atmos.Chem.Phys., 15,7003-7015. http://www.atmos-chem-phys.net/15/7003/2015/. doi:10.5194/acp-15-7003-2015
Garny, H., G.E. Bodeker, D. Smale, M. Dameris, V. Grewe: Drivers of hemispheric differences in return dates of mid-latitude stratospheric ozone to historical levels, Atmos. Chem. Phys. 13, 7279-7300. doi:10.5194/acp-13-7279-2013,2013.
Tanalski, F., Untersuchung von Klimaveränderungen durch extreme Methanemissionen, Masterarbeit, Universität Duisburg-Essen, Fakultät für Physik, 89 Seiten, 2017.
Kilian, M.: Impact of the Eruption of Mt. Pinatubo on the Chemical Composition of the Tropical Atmosphere as Simulated with EMAC, Master’s Thesis, Universität Innsbruck, Austria, 2018.
Frank, F.; Atmospheric methane and its isotopic composition in a changing climate: A modelling study, Ludwigs Maximillian Universität München, 2018.
DOI: 10.5194/acp-19-7151-2019,
Winterstein, F., Tanalski, F., Jöckel, P., Dameris, M., and Ponater, M.: Implication of strongly increased atmospheric methane concentrations for chemistry–climate connections, Atmos. Chem. Phys., 19, 7151–7163, https://doi.org/10.5194/acp-19-7151-2019, 2019.
DOI: 10.5194/acp-2020-519,
Stecher, L., Winterstein, F., Dameris, M., Jöckel, P., Ponater, M., and Kunze, M.: Effects of Strongly Enhanced Atmospheric Methane Concentrations in a Fully Coupled Chemistry-Climate Model, Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2020-519, in review, 2020.
DOI: 10.5194/acp-21-731-2021,
Stecher, L., Winterstein, F., Dameris, M., Jöckel, P., Ponater, M., and Kunze, M.: Slow feedbacks resulting from strongly enhanced atmospheric methane mixing ratios in a chemistry–climate model with mixed-layer ocean, Atmos. Chem. Phys., 21, 731–754, https://doi.org/10.5194/acp-21-731-2021, 2021.
781: REACT4C
Grewe, V., Bock, L., Burkhardt, U., Dahlmann, K., Gierens, K., Hüttenhofer, L., Unterstrasser, S., Rao, A.G., Bhat, A., Yin, F., Reichel, T.G., Paschereit, O., Levy, Y., Assessing the climate impact of the AHEAD multi-fuel blended wing body, Met. Z., online available, 2016.
Yamashita, H., Grewe, V., Jöckel, P., Linke, F., Schaefer, M., and Sasaki, D.: Air traffic simulation in chemistry-climate model EMAC 2.41: AirTraf 1.0, Geosci. Model Dev., 9, 3363-3392, doi:10.5194/gmd-9-3363-2016, 2016.
Bock L., Burkhardt U. and Kärcher B. : Simulating the temporal evolution of a contrail cirrus cluster within a global climate model, in preparation for Atmos. Chem. Phys., 2015.
Bock, L.: Modellierung von Kondensstreifenzirren: Mikrophysikalische und optische Eigenschaften, Dissertation. DLR-Forschungsbericht. DLR-FB--2014-26, 105 S., 2014.
Bock L., Burkhardt U. and Kärcher B. : Simulating the temporal evolution of a contrail cirrus cluster within a global climate model, in preparation for Atmos. Chem. Phys., 2015.
Grewe, V., Frömming, C., Matthes, S., Brinkop, S., Ponater, M., Dietmüller, S., Jöckel, P., Garny, H., Dahlmann, K., Tsati, E., Søvde, O. A., Fuglestvedt, J., Berntsen, T. K., Shine, K. P., Irvine, E. A., Champougny, T., and Hullah, P.: Aircraft routing with minimal climate impact: The REACT4C climate cost function modelling approach (V1.0), Geosci. Model Dev. 7, 175-201, doi:10.5194/gmd-7-175-2014, 2014a.
Grewe, V., Champougny, T., Matthes, S., Frömming, C., Brinkop, S., Søvde, A.O., Irvine,E.A., Halscheidt, L., Reduction of the air traffic's contribution to climate change: A REACT4C case study, 10.1016/j.atmosenv.2014.05.059, Atmos. Environm. 94, 616-625, 2014b.
Grewe, V., Bock, L., Burkhardt, U., Dahlmann, K., Gierens, K., Hüttenhofer, L., Unterstrasser, S., Rao, A.G., Bhat, A., Yin, F., Reichel, T.G., Paschereit, O., Levy, Y., Assessing the climate impact of the AHEAD multi-fuel blended wing body, to be submitted in Nov. 2015 to Met. Z., TAC4 special issue., 2015.
Halscheidt, L., Untersuchungen zur Bildung und Klimawirkung von Kondensstreifen: Eine Analyse der REACT4C Klimakostenfunktionen, Masterarbeit, Institut für Geografie, Universität Augsburg, Juli 2014.
Yamashita, H., Grewe, V., Jöckel, P., Linke, F., Schaefer, M., and Sasaki, D., Climate Assessment Platform of Different Aircraft Routing Strategies in the Chemistry-Climate Model EMAC 2.41: AirTraf 1.0, to be submitted in Nov. 2015 to GMD.
Bock, L.: Modellierung von Kondensstreifenzirren: Mikrophysikalische und optische Eigenschaften, Dissertation. DLR-Forschungsbericht. DLR-FB--2014-26, 105 S., 2014.
Grewe, V., Frömming, C., Matthes, S., Brinkop, S., Ponater, M., Dietmüller, S., Jöckel, P., Garny, H., Dahlmann, K., Tsati, E., Søvde, O. A., Fuglestvedt, J., Berntsen, T. K., Shine, K. P., Irvine, E. A., Champougny, T., and Hullah, P.: Aircraft routing with minimal climate impact: The REACT4C climate cost function modelling approach (V1.0), Geosci. Model Dev. 7, 175-201, doi:10.5194/gmd-7-175-2014, 2014a.
Grewe, V., Champougny, T., Matthes, S., Frömming, C., Brinkop, S., Søvde, A.O., Irvine,E.A., Halscheidt, L., Reduction of the air traffic's contribution to climate change: A REACT4C case study, 10.1016/j.atmosenv.2014.05.059, Atmos. Environm. 94, 616-625, 2014b.
Grewe, V., Bock, L., Burkhardt, U., Dahlmann, K., Gierens, K., Hüttenhofer, L., Unterstrasser, S., Rao, A.G., Bhat, A., Yin, F., Reichel, T.G., Paschereit, O., Levy, Y., Assessing the climate impact of the AHEAD multi-fuel blended wing body, to be submitted in Nov. 2015 to Met. Z., TAC4 special issue., 2015.
Halscheidt, L., Untersuchungen zur Bildung und Klimawirkung von Kondensstreifen: Eine Analyse der REACT4C Klimakostenfunktionen, Masterarbeit, Institut für Geografie, Universität Augsburg, Juli 2014.
Yamashita, H., Grewe, V., Jöckel, P., Linke, F., Schaefer, M., and Sasaki, D., Climate Assessment Platform of Different Aircraft Routing Strategies in the Chemistry-Climate Model EMAC 2.41: AirTraf 1.0, to be submitted in Nov. 2015 to GMD.
Grewe, V., C. Frömming, S. Matthes, S. Brinkop, M. Ponater, S. Dietmüller, P. Jöckel, H. Garny, E. Tsati, O. A. Søvde, J. Fuglestvedt, T. K. Berntsen, K. P. Shine, E. A. Irvine, T. Champougny, and P. Hullah: Aircraft routing with minimal climate impact: the REACT4C climate cost function modelling approach (V1.0), Geosci. Model Dev. Discuss., 6, 4345-4416, www.geosci-model-dev-discuss.net/6/4345/2013/, doi: 10.5194/gmdd-6-4345-2013, 2013.
Grewe, V., Dahlmann, K., Flink, J., Frömming, C., Ghosh, R., Gierens, K., Heller, R., Hendricks, J., Jöckel, P., Kaufmann, S., Kölker, K., Linke, F., Luchkova, T., Lührs, B., van Manen, J., Matthes, S., Minikin, A., Niklaß, M., Plohr, M., Righi, M., Rosanka, S., Schmitt, A., Schumann, U., Terekhov, I., Unterstrasser, S., Vázquez-Navarro, M., Voigt, C., Wicke, K., Yamashita, H., Zahn, A., Ziereis, H., Mitigating the Climate Impact from Aviation: Achievements and Results of the DLR WeCare Project, Aerospace 4(3), 34; doi:10.3390/aerospace4030034, 1-50, 2017.
Grewe, V., Tsati, E., Mertens, M., Frömming, C., and Jöckel, P., Contribution of emissions to concentrations: The TAGGING 1.0 submodel based on the Modular Earth Submodel System (MESSy 2.52), Geosci. Model Dev. 10, 2615-2633, doi:10.5194/gmd-2016-298, 2017.
Matthes, S., Grewe, V., Dahlmann, K., Frömming, C., Irvine, E., Lim, L., Linke, F., Lührs, B., Owen, B., Shine, K., Stromatas, S., Yamashita, H., Yin, F., A concept for multi-dimensional environmental assessment of aircraft trajectories, Aerospace 4(3), 42; doi:10.3390/aerospace4030042, 2017.
Grewe, V., Matthes, S., Frömming, C., Brinkop, S., Jöckel, P., Gierens, K., Champougny, T., Fuglestvedt, J., Haslerud, A., Irvine, E., Shine, K., Climate-optimized air traffic routing for trans-Atlantic flights. Environm. Res. Lett. 12(3), 034003, DOI: 10.1088/1748-9326/aa5ba0, 2017.
Bock, L. and Burkhardt, U, Contrail cirrus radiative forcing for future air traffic. In preparation, 2019 Burkhardt, U., Bock, L. and Bier, A., Mitigating the contrail cirrus climate impact by reducing aircraft soot number emissions, npj Climate and Atmospheric Science, doi: 10.1038/s41612-018-0046-4, 2018. Grewe, V., Tsati, E., Mertens, M., Frömming, C., and Jöckel, P., Contribution of emissions to concentrations: The TAGGING 1.0 submodel based on the Modular Earth Submodel System (MESSy 2.52), Geosci. Model Dev. 10, 2615-2633, doi:10.5194/gmd-2016-298, 2017a. Grewe, V., Dahlmann, K., Flink, J., Frömming, C., Ghosh, R., Gierens, K., Heller, R., Hendricks, J., Jöckel, P., Kaufmann, S., Kölker, K., Linke, F., Luchkova, T., Lührs, B., van Manen, J., Matthes, S., Minikin, A., Niklaß, M., Plohr, M., Righi, M., Rosanka, S., Schmitt, A., Schumann, U., Terekhov, I., Unterstrasser, S., Vázquez-Navarro, M., Voigt, C., Wicke, K., Yamashita, H., Zahn, A., Ziereis, H., Mitigating the Climate Impact from Aviation: Achievements and Results of the DLR WeCare Project, Aerospace 4(3), 34; doi:10.3390/aerospace4030034, 1-50, 2017b. Grewe, V., Matthes, S., Frömming, C., Brinkop, S., Jöckel, P., Gierens, K., Champougny, T., Fuglestvedt, J., Haslerud, A., Irvine, E., Shine, K., Climate-optimized air traffic routing for trans-Atlantic flights. Environm. Res. Lett. 12(3), 034003, DOI: 10.1088/1748-9326/aa5ba0, 2017c. Matthes, S., Grewe, V., Dahlmann, K., Frömming, C., Irvine, E., Lim, L., Linke, F., Lührs, B., Owen, B., Shine, K., Stromatas, S., Yamashita, H., Yin, F., A concept for multi-dimensional environmental assessment of aircraft trajectories, Aerospace 4(3), 42; doi:10.3390/aerospace4030042, 2017. Frömming, C.; Grewe, V.; Brinkop, S.; Haslerud, A.; Matthes, S.; Irvine, E.; Rosanka, S.; van Manen, J. Influence of weather situations on aviation emission effects: The REACT4C Climate Change Functions. Atmos. Environ. in preparation, 2019. Yamashita, H., Yin, F., Grewe, V., New aircraft routing options for the air traffic simulation model in the chemistry-climate model EMAC 2.53: AirTraf V2.0, GMDD, in preparation, 2018.
DOI: doi.org/10.5194/acp-19-8163-2019,
Bock, L. and Burkhardt, U.: Contrail cirrus radiative forcing for future air traffic, Atmos. Chem. Phys., 19, 8163-8174, https://doi.org/10.5194/acp-19-8163-2019, 2019.
Bock, L. and Burkhardt, U.: The temporal evolution of a long-lived contrail cirrus cluster: Simulations with a global climate model, J. Geophys. Res.-Atmos., 121, 3548–3565, 2016a.
Bock, L. and Burkhardt, U.: Reassessing properties and radiative forcing of contrail cirrus using a climate model, J. Geophys. Res., 121, 9717–9736, 2016b.
DOI: doi:10.5194/gmd-7-175-2014,
Grewe, V., Frömming, C., Matthes, S., Brinkop, S., Ponater, M., Dietmüller, S., Jöckel, P., Garny, H., Dahlmann, K., Tsati, E., Søvde, O. A., Fuglestvedt, J., Berntsen, T. K., Shine, K. P., Irvine, E. A., Champougny, T., and Hullah, P.: Aircraft routing with minimal climate impact: The REACT4C climate cost function modelling approach (V1.0), Geosci. Model Dev. 7, 175-201, doi:10.5194/gmd-7- 175-2014, 2014a.
DOI: 10.1016/j.atmosenv.2014.05.059,
Grewe, V., Champougny, T., Matthes, S., Frömming, C., Brinkop, S., Søvde, A.O., Irvine,E.A., Halscheidt, L., Reduction of the air traffic's contribution to climate change: A REACT4C case study, 10.1016/j.atmosenv.2014.05.059, Atmos. Environm. 94, 616-625, 2014b.
DOI: 10.3390/aerospace4030034,
Grewe, V., Dahlmann, K., Flink, J., Frömming, C., Ghosh, R., Gierens, K., Heller, R., Hendricks, J., Jöckel, P., Kaufmann, S., Kölker, K., Linke, F., Luchkova, T., Lührs, B., van Manen, J., Matthes, S., Minikin, A., Niklaß, M., Plohr, M., Righi, M., Rosanka, S., Schmitt, A., Schumann, U., Terekhov, I., Unterstrasser, S., Vázquez-Navarro, M., Voigt, C., Wicke, K., Yamashita, H., Zahn, A., Ziereis, H., Mitigating the Climate Impact from Aviation: Achievements and Results of the DLR WeCare Project, Aerospace 4(3), 34; doi:10.3390/aerospace4030034, 1-50, 2017
DOI: 10.3390/aerospace4030034,
Grewe, V., Dahlmann, K., Flink, J., Frömming, C., Ghosh, R., Gierens, K., Heller, R., Hendricks, J., Jöckel, P., Kaufmann, S., Kölker, K., Linke, F., Luchkova, T., Lührs, B., van Manen, J., Matthes, S., Minikin, A., Niklaß, M., Plohr, M., Righi, M., Rosanka, S., Schmitt, A., Schumann, U., Terekhov, I., Unterstrasser, S., Vázquez-Navarro, M., Voigt, C., Wicke, K., Yamashita, H., Zahn, A., Ziereis, H., Mitigating the Climate Impact from Aviation: Achievements and Results of the DLR WeCare Project, Aerospace 4(3), 34; doi:10.3390/aerospace4030034, 1-50, 2017
Frömming, C., Grewe, V., Brinkop, S., Matthes, S., Haslerud, A., Klingaman, E., Rosanka, S., van Manen, J. Influence of actual weather situations on aviation climate effects: The REACT4C Climate Change Functions. Atmospheric Chemistry and Physics, in preparation, 2019.
DOI: 10.5194/acp-2020-46,
Rosanka, S., Frömming, C, and Grewe, V., The impact of weather pattern and related transport processes on aviation's contribution to ozone and methane concentrations from NOx emissions, Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2020-46, in press, 2020.
DOI: 10.5194/acp-2020-529,
Frömming, C., Grewe, V., Brinkop, S., Jöckel, P., Haselrud, A.S., Rosanka, S., van Manen, J., and Matthes, S., Influence of the actual weather situation on non-CO2 aviation climate effects: The REACT4C Climate Change Functions, Atmos. Chem. Phys. Disc., https://doi.org/10.5194/acp-2020-529, in review, 2020.
DOI: 10.5194/acp-20-12347-2020,
Rosanka, S., Frömming, C., and Grewe, V.: The impact of weather pattern and related transport processes on aviation’s contribution to ozone and methane concentrations from NOx emissions, Atmospheric Chemistry and Physics
DOI: 10.5194/gmd-13-4869-2020,
Yamashita, H., Yin, F., Grewe, V., Jöckel, P., Matthes, S., Kern, B., Dahlmann, K., and Frömming, C. Various aircraft routing options for air traffic simulation in the chemistry-climate model EMAC 2.53: AirTraf 2.0, Geosci. Model Dev. 13, 4869-4890, https://doi.org/10.5194/gmd-13-4869-2020, 2020.
DOI: 10.5194/acp-21-9151-2021,
Frömming, C., Grewe, V., Brinkop, S., Jöckel, P., Haslerud, A. S., Rosanka, S., van Manen, J., and Matthes, S.: Influence of the actual weather situation on non-CO2 aviation climate effects: The REACT4C Climate Change Functions, Atmos. Chem. Phys., 2021.
778: Integriertes Daten- und Evaluierungssystem zur mittelfristigen Klimaprognose (Integrated data and evaluation system for decadal scale prediction, Integration)
Kadow, C., I. Kirchner, S. Illing, E. Gonzalez, and U. Cubasch “A Standardized Evaluation System for Decadal Climate Prediction” DKRZ User Workshop 2013
Illing, S., C. Kadow, E. Gonzalez, and U. Cubasch “Assessment of Uncertainties for Model Evaluation in a Decadal Prediction System” European Geosciences Union General Assembly 2013
Pohlmann, H., W. A. Müller, K. Kulkarni, M. Kameswarrao, D. Matei, F. S. E. Vamborg, C. Kadow, S. Illing, J. Marotzke, 2013: “Improved forecast skill in the tropics in the new MiKlip decadal climate predictions” Geophys. Res. Lett.
777: Evaluating the Climate and Air Quality Impacts of Short-Lived Pollutants (ECLIPSE)
Baker, L. H., W. J. Collins, D. J. L. Olivié, R. Cherian, Ø. Hodnebrog, G. Myhre, and J. Quaas, Climate responses to anthropogenic emissions of short-lived climate pollutants, Atmos. Chem. Phys., 15, 8201-8216, doi:10.5194/acp-15-8201-2015, 2015.
Cherian, R., J. Quaas, M. Salzmann, and M. Wild, Pollution trends over Europe constrain global aerosol forcing as simulated by climate models, Geophys. Res. Lett., 41, 2176-2181, doi:10.1002/2013GL058715, 2014.
Stohl, A., B. Aamaas, M. Amann, L. H. Baker, N. Bellouin, T. K. Berntsen, O. Boucher, R. Cherian, W. Collins, N. Daskalakis, M. Dusinska, S. Eckhardt, J. S. Fuglestvedt, M. Harju, C. Heyes, Ø. Hodnebrog, J. Hao, U. Im, M. Kanakidou, Z. Klimont, K. Kupiainen, K. S. Law, M. T. Lund, R. Maas, C. R. MacIntosh, G. Myhre, S. Myriokefalitakis, D. J. Olivie, J. Quaas, B. Quennehen, J.-C. Raut, S. Rumbold, B. H. Samset, M. Schulz, Ø. Seland, K. P. Shine, R. B. Skeie, S. Wang, K. E. Yttri, and T. Zhu, Evaluating the Climate and Air Quality Impacts of Short-Lived Pollutants, Atmos. Chem. Phys., 15, 10529-10566, doi:10.5194/acp-15-10529-2015, 2015.
Eckhardt, S., B. Quennehen, D. J. L. Olivié, T. K. Berntsen, R. Cherian, J.H. Christensen, W. Collins, S. Crepinsek, N. Daskalakis, M. Flanner, A. Herber, C. Heyes, Ø. Hodnebrog, L. Huang, M. Kanakidou, Z. Klimont, J. Langner, K. S. Law, M. T. Lund, R. Mahmood, A. Massling, S. Myriokefalitakis, I.E. Nielsen, J.K. Nøjgaard, J. Quaas, P.K. Quinn, J.-C. Raut, S. T. Rumbold, M. Schulz, S. Sharma, R. B. Skeie, H. Skov, T. Uttal, K. Salzen, and A. Stohl, Current model capabilities for simulating black carbon and sulfate concentrations in the Arctic atmosphere: a multi-model evaluation using a comprehensive measurement data set, Atmos. Chem. Phys., 15, 9413-9433, doi:10.5194/acp-15-9413-2015, 2015.
Cherian, R., J. Quaas, M. Salzmann, und M. Wild, Pollution trends over Europe constrain global aerosol forcing, revised.
Bellouin, N., L. Baker, Ø. Hodnebrog, D. Olivié, R. Cherian, C. Macintosh, B. Samset, A. Esteve, B. Aamaas, J. Quaas, and G. Myhre, Regional and seasonal radiative forcing by perturbations to aerosol and ozone precursor emissions, Atmos. Chem. Phys., in press, doi:10.5194/acp-2016-310, 2016.
Boucher, O., Y. Balkanski, Ø. Hodnebrog, C. Lund Myhre, G. Myhre, J. Quaas, B. H. Samset, N Schutgens, P. Stier, and R. Wang, The jury is still out on the radiative forcing by black carbon, Proc. Nat. Acad. Sci. USA, 113, E5092-E5093, doi:10.1073/pnas.1607005113, 2016.
Quennehen, B., J.-C. Raut, K. S. Law, N. Daskalakis, G. Ancellet, C. Clerbaux, S.-W. Kim, M. T. Lund, G. Myhre, D. J. L. Olivié, S. Safieddine, R. B. Skeie, J. L. Thomas, S Tsyro, A. Bazureau, N. Bellouin, M. Hu, M. Kanakidou, Z. Klimont, K. Kupiainen, S. Myriokefalitakis, J. Quaas, S. T. Rumbold, M. Schulz, R. Cherian, A. Shimizu, J. Wang, S.-C. Yoon, and T. Zhu, Multi-model evaluation of short-lived pollutant distributions over East Asia during summer 2008, Atmos. Chem. Phys. , 16, 10765-10792, doi:10.5194/acp-16-10765-2016, 2016.
Myhre, G., W. Aas, R. Cherian, W. Collins, G. Faluvegi, M. Flanner, P. Forster, Ø. Hodnebrog, Z. Klimont, J. Mülmenstädt, C. Lund Myhre, D. Olivié, M. Prather, J. Quaas, B. H. Samset, J. L. Schnell, M. Schulz, D. Shindell, R. B. Skeie, T. Takemura, and S Tsyro, Multi-model simulations of aerosol and ozone radiative forcing for the period 1990-2015, Atmos. Chem. Phys. Discuss., doi:10.5194/acp-2016-594.
Cherian, R., J. Quaas, M. Salzmann, and L. Tomassini, Black carbon indirect radiative effects in a climate model, Environ. Res. Lett., submitted.
Myhre, G., W. Aas, R. Cherian, W. Collins, G. Faluvegi, M. Flanner, P. Forster, Ø. Hodnebrog, Z. Klimont, J. Mülmenstädt, C. Lund Myhre, D. Olivié, M. Prather, J. Quaas, B. H. Samset, J. L. Schnell, M. Schulz, D. Shindell, R. B. Skeie, T. Takemura, and S Tsyro, Multi-model simulations of aerosol and ozone radiative forcing for the period 1990-2015, Atmos. Chem. Phys., 17, 2709-2720, doi:10.5194/acp-17-2709-2017, 2017.
Cherian, R., J. Quaas, M. Salzmann, and L. Tomassini, Black carbon indirect radiative effects in a climate model, Tellus, 69, 1369342, doi: 10.1080/16000889.2017.1369342, 2017.
776: Decadal Prediction of African Rainfall and Atlantic Hurricane Activity (DEPARTURE)
Breil, M., Panitz, H.-J. (2012): Regional Climate Simulations with COSMO-CLM for North Africa: Model Sensitivity to Model Domain Size. EMS Annual Meeting, Lodz, 10./14.09.2012.
771: Decadal climate predictions using the TORUS model system with regional refinement of the Arctic (TORUS-AWI)
D. Sidorenko et al.: Towards multi-resolution global climate modeling with ECHAM6-FESOM. Part I: Model formulation and mean climate, subm. to Climate Dynamics, 2013
769: Alert for LARge volcanic eruptions in Medium term climate prediction (ALARM)
Timmreck C., H. Pohlmann, S. Illing and C. Kadow (2016) The impact of stratospheric volcanic aerosol on decadal scale predictability. Geophys. Res. Lett, 43, doi: 10.1002/2015GL067431
Kremser, S. L. W. Thomason, M. von Hobe, M. Hermann, C. Timmreck, T. Deshler, M. Toohey, A. Stenke, Fred Prata, J. Schwarz, R. Weigel, S. Fueglistaler, J.-P. Vernier, B. Luo, H. Schlager, J. Barnes, J.-C. Antuna-Marrero, D. Fairlie, M. Palm, E. Mahieu, J. Notholt, M. Rex, R. Neely, C. Bingen, A. Bourassa, J. Plane, D. Klocke, S. Carn, C. Lieven, A. James, S. Borrmann, L. Rieger, T. Trickl, C. Wilson, and B. Meland (2016) Stratospheric aerosol - Observations, processes, and impact on climate Rev. Geophys., 54, doi:10.1002/2015RG000511.
Bittner, M., C. Timmreck, H.Schmidt, M. Toohey M, K, Krüger The impact of wave-mean flow interaction on the Northern Hemisphere polar vortex after tropical volcanic eruptions. (2016) J. Geophys. Res. Atmos., 121, doi:10.1002/2015JD024603
Bittner, M., H. Schmidt, C. Timmreck, and F. Sienz (2016), Using a large ensemble of simulations to assess the Northern Hemisphere stratospheric dynamical response to tropical volcanic eruptions and its uncertainty, Geophys. Res. Lett., 43, doi:10.1002/2016GL070587.
Zanchettin, D., M. Khodri, C. Timmreck M. Toohey, A. Schmidt, E. P. Gerber, G. Hegerl, A. Robock, F. S. Pausata, W. T. Ball, S. E. Bauer S. Bekki, S. S. Dhomse, A. N. LeGrande, G. W. Mann, L. Marshall, M. Mills, M. Marchand, U. Niemeier, V. Poulain, A. Rubino, A. Stenke, K. Tsigaridis and F. Tummon (2016), The Model Intercomparison Project on the climatic response to Volcanic forcing (VolMIP): experimental design and forcing input data for CMIP6, Geosci. Model Dev., 9, 2701-2719, doi:10.5194/gmd-9-2701-2016.
Marotzke, J., W: A. Müller, F. Vamborg, P. Becker, U. Cubasch, H. Feldmann, F. Kaspar, C. Kottmeier, C. Marini, I. Polkova, K. Prömmel, H. Rust, D. Stammer, U. Ulbrich, C. Kadow, A. Köhl, J. Kröger, T. Kruschke, J. G. Pinto, H. Pohlmann, M. Reyers, M. Schröder, F. Sienz, C. Timmreck and M. Ziese (2016), MiKlip – a National Research Project on Decadal Climate Prediction, BAMS http://dx.doi.org/10.1175/BAMS-D-15-00
Zanchettin, D., M. Khodri, C. Timmreck M. Toohey, A. Schmidt, E. P. Gerber, G. Hegerl, A. Robock, F. S. Pausata, W. T. Ball, S. E. Bauer S. Bekki, S. S. Dhomse, A. N. LeGrande, G. W. Mann, L. Marshall, M. Mills, M. Marchand, U. Niemeier, V. Poulain, A. Rubino, A. Stenke, K. Tsigaridis and F. Tummon (2016), The Model Intercomparison Project on the climatic response to Volcanic forcing (VolMIP): experimental design and forcing input data for CMIP6, Geosci. Model Dev., 9, 2701-2719, doi:10.5194/gmd-9-2701-2016.
Hommel, R, C Timmreck, M Giorgetta and HF Graf (2015) Quasi-biennial oscillation of the tropical stratospheric aerosol layer layer Atmos. Chem. Phys., 15, 5557-5584, doi:10.5194/acp-15-5557-2015.
Niemeier, U. and C. Timmreck (2015) What is the limit of climate engineering by stratospheric injection of SO2?, Atmos. Chem. Phys., 15, 9129-9141, doi:10.5194/acp-15-9129-2015,
Domeisen, D., A. Butler, K. Fröhlich, M. Bittner, W. Müller, and J. Baehr, 2014: Seasonal Predictability over Europe arising from El Nino and Stratospheric Variability in the MPI-ESM Seasonal Prediction System., J. Climate, doi:10.1175/JCLI-D-14-00207.1
Graf, H-F, D. Zanchettin, C Timmreck, M. Bittner, 2014: Observational constraints on the tropospheric and near-surface winter signature of the Northern Hemisphere stratospheric polar vortex, Climate Dynamics DOI 10.1007/s00382-014-2101-0.
Pascolini-Campbell, M, D Zanchettin, O Bothe, C Timmreck, D Matei, JH Jungclaus, HF Graf, 2014: Toward a record of Central Pacific El Niño events since 1880., Theor. Appl. Climatol. DOI:10.1007/s00704-014-1114-2
Toohey, M., K. Krüger, M. Bittner, C. Timmreck, and H. Schmidt, 2014: The impact of volcanic aerosol on the Northern Hemisphere stratospheric polar vortex: mechanisms and sensitivity to forcing structure, Atmos. Chem. Phys., 14, 1–16, doi:10.5194/acp-14-1-2014
Zanchettin D, O Bothe, C Timmreck, J Bader, A Beitsch, HF Graf, D Notz, JH Jungclaus, 2014: Inter-hemispheric asymmetry in the sea-ice response to volcanic forcing simulated by MPI-ESM (COSMOS-Mill)., Earth Syst. Dynam., 5, 223-242.
Sigl, M., McConnell, J. R., Toohey, M., Curran, M., Das, S. B., Edwards, R., Isaksson, E., Kawamura, K., Kipfstuhl, S., Krüger, K., Layman, L., Maselli, O. J., Motizuki, Y., Motoyama, H., Pasteris, D. R. and Severi, M.: Insights from Antarctica on volcanic forcing during the Common Era, Nature Climate Change, doi:10.1038/nclimate2293, 2014.
Schmidt, H., Rast, S., Bunzel, F., Esch, M., Giorgetta, M. A., Kinne, S., Krismer, T., Stenchikov, G., Timmreck, C., Tomassini, L.,and Walz, M. The response of the middle atmosphere to anthropogenic and natural forcing in the CMIP5 simulations with the MPI-ESM. Journal of Advances in Modeling Earth Systems (JAMES), 98-116, DOI: 10.1002/jame.20014, 2013
Zanchettin D., C. Timmreck, O. Bothe , S. Lorenz, G. Hegerl, H.-F Graf, J. Luterbacher and J. Jungclaus, Delayed winter warming: a decadal dynamical response to strong tropical volcanic eruptions. Geophys Res. Lett. DOI: 10.1029/2012GL054403 2013
Zanchettin D., O. Bothe, H.-F Graf, S. Lorenz, J. Luterbacher, C. Timmreck and J. Jungclaus, Background conditions influence the decadal climate response to strong volcanic eruptions. . J. Geophys. Res .DOI: 10.1002/jgrd.50229, 2013.
Charlton-Perez, A. J., M. P. Baldwin, T. Birner, R. X. Black, A. H. Butler, N. Calvo, N. A. Davis, E. P. Gerber, N. Gillett, S. Hardiman, J. Kim, K. Krüger, Y.-Y. Lee, E. Manzini, B. A. McDaniel, L. Polvani, T. Reichler, T. A. Shaw, M. Sigmond, S.-W. Son, M. Toohey, L. Wilcox, S. Yoden, B. Christiansen, F. Lott, D. Shindell, S. Yukimoto, and S. Watanabe (2013), On the lack of stratospheric dynamical variability in low-top versions of the CMIP5 models, Journal of Geophysical Research: Atmospheres, 118(6), 2494–2505, doi:10.1002/jgrd.50125.
Bancalá, S.; Krüger, K.; Giorgetta, M. The preconditioning of major sudden stratospheric warmings. J. Geophys. Res., Vol. 117, No. D4, D04101 http://dx.doi.org/10.1029/2011JD016769
Timmreck C. Modeling the climatic effects of volcanic eruptions, Wiley Interdisciplinary Reviews: Climate Change doi: 10.1002/wcc.192.e, 2012.
768: Global Climate Change impact on a developing economy - Armenia
http://dx.doi.org/10.1007/s10668-013-9483-8
767: Decadal variability in a new high resolution Finite-Element Sea-Ice ocean model
Scholz, P., G. Lohmann, Q. Wang, and S. Danilov (2013a), Evaluation of a Finite-Element Sea- Ice ocean model (FESOM) setup to study the interannual to decadal variability in the deep-water formation rates, Ocean Dynamic, 63 (4), 347–370, doi:10.1007/s10236- 012-0590-0.
Scholz, P, D. Kieke, G. Lohmann, M. Ionita, and M. Rhein (2013b), Evaluation of Labrador Sea Water formation in a global Finite-Element Sea-Ice Ocean Model setup, based on a comparison with observational data, J. Geophys. Res., under revision
765: PAGE21
Ekici, A., Beer, C., Hagemann, S., and Hauck, C., 2013 Improved soil physics for simulating high latitude permafrost regions by the JSBACH terrestrial ecosystem model Geosci. Model Dev. Discuss., 6, 2655-2698, doi:10.5194/gmdd-6-2655-2013
Hagemann, S., T. Blome, F. Saeed and T. Stacke, 2013 Perspectives in modelling climate-hydrology interactions Surveys in Geophysics, ISSI special issue on Hydrological Cycle, doi:10.1007/s10712-013- 9245-z.
none
764: MiKlip Modul B: Processes and Modelling
Bittner, M. et al., Bittner, M., H. Schmidt, C. Timmreck, and F. Sienz: Using a large ensemble of simulations to assess the Northern Hemisphere stratospheric dynamical response to tropical volcanic eruptions and its uncertainty, Geophys. Res. Lett., 43, doi:10.1002/2016GL070587., 2016.
Drews, A., Greatbatch, R.J., Ding, H., Latif, M., and Park, W.: The use of a flow field correction technique for alleviating the North Atlantic cold bias with application to the Kiel Climate Model. Ocean Dynamics , 65 (8), 1079_1093, 2015.
Milinski, S., J. Bader, H. Haak, A. C. Siongco, and J. H Jungclaus: High atmospheric horizontal resolution eliminates the wind-driven coastal warm bias in the southeastern tropical Atlantic, Geophys. Res. Lett., 43, doi:10.1002/2016GL070530, 2016.
Toohey, M., Stevens, B., Schmidt, H., and Timmreck, C.: Easy Volcanic Aerosol (EVA v1.0): An idealized forcing generator for climate simulations, Geosci. Model Dev. Discuss.,doi:10.5194/gmd-2016-83, in review, 2016a
Zanchettin, D., et al.: The Model Intercomparison Project on the climatic response to Volcanic forcing (VolMIP): experimental design and forcing input data for CMIP6, Geosci. Model Dev., 9, 2701-2719, doi:10.5194/gmd-9-2701-2016, 2016.
Toohey, M., et al., The impact of volcanic aerosol on the Northern Hemisphere stratospheric polar vortex: mechanisms and sensitivity to forcing structure, Atmos. Chem. Phys., 14, 1–16, doi:10.5194/acp-14-1-2014, 2014.
Thoma, M., R. Gerdes, R.J. Greatbatch and H. Ding, 2015a: Partially coupled spin-up of the MPI-ESM: implementation and first results., Geosci. Model Dev. Discuss., 8, 51-68, doi:10.5194/gmd-8-51-2015.
Thoma, M., R.J. Greatbatch, C. Kadow and R. Gerdes, 2015b, Decadal hindcasts initialised using observed surface wind stress: Evaluation and Prediction out to 2024, Geophys. Res. Lett., 42 (15). pp. 6454-6461. DOI 10.1002/2015GL064833.
Timmreck C., et al., The impact of stratospheric volcanic aerosol on decadal scale predictability, in revision for Geophysical Research Letters
Zanchettin, D., et al., 2015. Mechanisms of out-of-phase response of El Niño to Atlantic multidecadal variability in MPI-ESM. In revision for Geophysical Reserach Letters.
Zanchettin, D., Rubino, A., Matei, D., Bothe, O., and J. H. Jungclaus (2012) Multidecadal-to-centennial SST variability in the MPI-ESM simulation ensemble for the last millennium. Clim. Dyn., 40:5, 1301-1318, doi:10.1007/s00382-012-1361-9
Zanchettin D., O. Bothe, W. Müller, J. Bader, and Johann H. Jungclaus (2013a) Different flavors of the Atlantic Multidecadal Variability. Clim. Dyn., doi:10.1007/s00382-013-1669-0
Zanchettin D., O. Bothe, H.-F. Graf, S.J. Lorenz, J. Luterbacher, C. Timmreck, and J.H. Jungclaus (2013b), Background conditions influence the decadal climate response to strong volcanic eruptions. J. Geophys. Res. Atm., 118(10): 4090-4106, doi:10.1002/jgrd.50229
Zanchettin D., O. Bothe, W. Müller, J. Bader, and Johann H. Jungclaus, 2012b. Different flavors of the Atlantic Multidecadal Variability. Clim. Dyn., under review
Zanchettin, D., Rubino, A., Matei, D., Bothe, O., and J. H. Jungclaus, 2012a. Multidecadal-to-centennial SST variability in the MPI-ESM simulation ensemble for the last millennium. Clim. Dyn., doi:10.1007/s00382-012-1361-9
763: MiKlip II Module E – Evaluation of the MiKlip Decadal Prediction System
Spangehl, T., M. Schröder, S. Stolzenberger, R. Glowienka-Hense, A. Mazurkiewicz, and A. Hense, 2015: Evaluation of the MiKlip decadal prediction system using satellite based cloud products. Meteorol. Z., doi: 10.1127/metz/2015/0602.
Müller W. A., D. Matei, M. Bersch, J. H. Jungclaus, H. Haak, K. Lohmann,G. P. Compo, and J. Marotzke, 2014a: A 20th-century reanalysis forced ocean model to reconstruct North Atlantic climate variation during the 1920s. Climate Dynamics. doi:10.1007/s00382-014-2267-5
Müller, W. A., H. Pohlmann, F. Sienz, D. Smith, 2014b: Decadal climate predictions for the period 1901-2010 with a coupled climate model. Geophys. Res. Lett., 41, 2100-2107. doi:10.1002/2014GL059259.
Marotzke, J., W. Müller, F. Vamborg, P. Becker, U. Cubasch, H. Feldmann, F. Kaspar, C. Kottmeier, C. Marini, I. Polkova, K. Prömmel, H. Rust, D. Stammer, U. Ulbrich, C. Kadow, A. Köhl, J. Kröger, T. Kruschke, J. Pinto, H. Pohlmann, M. Reyers, M. Schröder, F. Sienz, C. Timmreck, and M. Ziese, 2016: MiKlip - a National Research Project on Decadal Climate Prediction. Bull. Amer. Meteor. Soc. doi:10.1175/BAMS-D-15-00184.1, in press.
760: EMBRACE
Hagemann, S., A. Loew, A. Andersson, 2013a: Combined evaluation of MPI-ESM land surface water and energy fluxes. J. Adv. Model. Earth 15 Syst., 5, doi:10.1029/2012MS000173.
Seneviratne, S.I., M. Wilhelm, T. Stanelle, B.J.J.M. van den Hurk, S. Hagemann, A. Berg, F. Cheruy, M.E. Higgins, A. Meier, V. Brovkin, M. Claussen, A. Ducharne, J.-L. Dufresne, K.L. Findell, J. Ghattas, D.M. Lawrence, S. Malyshev, M. Rummukainen, and B. Smith, 2013: Impact of soil moisture-climate feedbacks on CMIP5 projections: First results from the GLACE-CMIP5 experiment. Geophys. Res. Lett., in press.
Hagemann, S., A. Loew, A. Andersson, 2012: Combined evaluation of MPI-ESM land surface water and energy fluxes. J. Advances in Modeling Earth Syst., submitted.
Seneviratne, S., M. Wilhelm, T. Stanelle, B. van den Hurk, S. Hagemann, A. Berg, F. Cheruy, M. Higgins, A. Meier, V. Brovkin, M. Claussen, J.L. Dufresne, K. Findell, D. Lawrence, S. Malyshev and B. Smith, 2012: Impact of soil moisture-climate feedbacks on
759: Development and implementation of a hierarchical model chain for modelling regional climate variability and climate change over southern Amazonia
Böhner, J., Dietrich, H., Kawohl, T., Kilian, M., Lunkeit, F., Bechtel, B., Conrad, O., Hasson, S., Jungkunst, H.F., Nendel, C. & Lucarini, V. (to be submitted 2017): Near future climate projections over Southern Amazonia using dynamical downscaling with WRF and block bootstrapping with STARS. Earth System Dynamics.
756: MiKlip PastLand
Stacke, T. and S. Hagemann (2015). Life time of soil moisture perturbations in a coupled land-atmosphere simulation. Earth Syst. Dynam. Discuss. 6(2), pp. 1743–1788. ISSN : 2190-4995. DOI : 10.5194/esdd 6-1743-2015 (cit. on p. 1).
Loew, A.; Stacke, T.; Dorigo, W.; de Jeu, R. & Hagemann, S.: Potential and limitations of multidecadal satellite soil moisture observations for selected climate model evaluation studies.Hydrol. Earth Syst. Sci., 2013, 17, 3523-3542
755: Feedback of a limited-area model to the global scale
Kerkweg, A. & Jöckel, P.: The infrastructure MESSy submodels GRID (v1.0) and IMPORT (v1.0), Geoscientific Model Development Discussions, 8, 8607–8633, doi: 10.5194/gmdd-8-8607-2015, URL http://www.geosci-model-dev-discuss.net/8/8607/2015/ (2015)
Kerkweg, A., Hofmann, C., Jöckel, P., Mertens, M., and Pante, G.: The on-line coupled atmospheric chemistry model system MECO(n) – Part 5: Expanding the Multi-Model-Driver (MMD v2.0) for 2-way data exchange including data interpolation via GRID (v1.0), Geosci. Model Dev. Discuss., doi:10.5194/gmd-2017-87, in review, 2017.
754: CLASH WP4: Modelling the Hydrological Cycle over the Tibetan Plateau for Late Holocene, present and future time slices
Hasson, S., Lucarini, V., and Pascale, S.: Hydrological cycle over South and Southeast Asian river basins as simulated by PCMDI/CMIP3 experiments, Earth Syst. Dynam. Discuss., 4, 109-177, doi:10.5194/esdd-4-109-2013, 2013
753: Modeling Central Asia Climate Dynamics
Bijan Fallah, Modelling the Asian Paleo-hydroclimatic Variability, PhD. Thesis, http://www.diss.fu-berlin.de/diss/receive/FUDISS_thesis_000000099409, (2015)
Bijan Fallah, Sahar Sodoudi and Ulrich Cubasch, Westerly jet stream and past millennium climate change in Arid Central Asia simulated by COSMO-CLM model, Theoretical and Applied Climatology, (2015).
Polanski, S., Fallah, B., Befort, D. J., Prasad, S. and Cubasch, U., Regional moisture change over India during the past Millennium: A comparison of multi-proxy reconstructions and climate model simulations, Global and Planetary Change, Volume 122, November 2014, Pages 176185, ISSN 0921-8181, (2014).
Bijan Fallah, Ulrich Cubasch, Kerstin Prömmel, Sahar Sodoudi: A numerical model study on the behaviour of Asian summer monsoon and AMOC due to orographic forcing of Tibetan Plateau, Climate Dynamics, DOI:10.1007/s00382-015-2914-5, (2015)
Polanski, S., Fallah, B., Prasad, S., and Cubasch, U.: Simulation of the Indian monsoon and its variability during the last millennium, Clim. Past Discuss., 9, 703-740, doi:10.5194/cpd-9-703-2013, 2013.
752: Monsoon variability and its physical mechanisms under different paleo- and future climate conditions
Polanski, S., Fallah, B., Prasad, S., and Cubasch, U. (2013): Simulation of the Indian Monsoon and its Variability during the last Millennium. Climate of the Past Discussion, 9, 703-740, doi:10.5194/cpd-9-703-2013.
747: Decadal Prediction of African Rainfall and Atlantic Hurricane Activity (DEPARTURE, project bundle in the MiKlip framework)
Paxian, A., Sein, D., Panitz, H.-J., Warscher, M., Breil, M., Engel, T., Tödter, J., Krause, A., Cabos Narvaez, W. D., Fink, A. H., Ahrens, B., Kunstmann, H., Jacob, D., Paeth, H. (2015): Bias reduction in decadal predictions of West African monsoon rainfall using regional climate models. J. Geophys. Res. Atmos., under Review. Paeth, H., Vogt, G., Paxian, A., Hertig, E., Seubert, S., Jacobeit, J. (2015): Quantifying the evidence of climate change in the light of uncertainty exemplified by the Mediterranean hot spot region. Glob. Planet. Change, submitted. Tödter, J., Kirchgessner, P., Nerger, L., Ahrens, B. (2016): Assessment of a nonlinear ensemble transform filter for high-dimensional data assimilation. Monthly Weather Review, DOI: 10.1175/MWR-D-15-0073.1.
739: BioEnergy regions STrengthening (BEST), Ökologische Landschaftsfunktionen 1 (ÖL 1)
Increasing bioenergy production on arable land - does the regional and local climate respond? Germany as a case study. (In Review)
Water supply patterns in Germany under climate change conditions (Published)
Less future warming and precipitation with fine scale resolution regional climate models. (Submitted)
726: WASCAL - Regionale Klimasimulationen Westafrika
Heinzeller D, MG Duda, H Kunstmann (2016): Towards convection-resolving, global atmospheric simulations with the Model for Prediction Across Scales (MPAS) v3.1: an extreme scaling experiment, Geoscientific Model Development, 9, pp. 77-110, January 2016; DOI: 10.5194/gmd-9-77-2016
Arnault, J., Wagner, S., Rummler, T., Fersch, B., Bliefernicht, J., Andresen, S., Kunstmann, H. (2015): Role of runoff-infiltration partitioning and resolved overland flow on land-atmosphere feedbacks: A case-study with the WRF-Hydro coupled modeling system for West Africa. Submitted to J. Hydrometeor
Arnault, J., Knoche, R.., Hui, J., Kunstmann, H. (2015): Evapotranspiration tagging and atmospheric water budget analysis with WRF: A precipitation recycling study for West Africa. Submitted to Water Resour. Res.
Bliefernicht, J., Kunstmann, H., Hingerl, L., Rummler, T., Andersen, S., Mauder, M., Steinbrecher, R., Frieß, R., Gochis, D., Gessner, U., Quansah, E., Awotuse, A., Neidl, F., Jahn, C., Boubacar, B. (2013): Field and simulation experiments for investigating regional land-atmosphere interactions in West Africa: Experimental set-up and first results. IAHS-AISH, 359, 226-232
Heinzeller, D., Duda, M.G., Kunstmann, H. (2015): Towards convection-resolving, global atmospheric simulations with the Model for Prediction Across Scales (MPAS): an extreme scaling experiment. Geoscientific Model Development Discussions, 8, 1-75
Klein, C., Heinzeller, D., Bliefernicht, J., Kunstmann, H. (2015): Variability of West African monsoon patterns generated by a WRF multi-physics ensemble, Climate Dynamics, DOI 10.1007/s00382-015-2505-5
Siegmund, S., Bliefernicht, J., Laux, P., Kunstmann, H. (2015): Towards a Seasonal Precipitation Prediction System for West Africa: Performance of CFSv2 and High Resolution Dynamical Downscaling. Journal of Geophysical Research - Atmospheres, DOI 10.1002/2014JD022692
The WASCAL high-resolution regional climate simulation ensemble for West Africa: concept, dissemination, assessment Dominikus Heinzeller1, Diarra Dieng1,2, Gerhard Smiatek1, Christiana Olusegun1, Cornelia Klein3, Ilse Hamann4, Seyni Salack5, and Harald Kunstmann1,2 1Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research, Garmisch-Partenkirchen, Germany 2University of Augsburg, Institute of Geography, Augsburg, Germany 3Natural Environment Research Council, Centre for Ecology & Hydrology, Wallingford, United Kingdom 4German Climate Computing Center, Hamburg, Germany 5WASCAL Competence Center, Ouagadougou, Burkina Faso Received: 21 Aug 2017 – Accepted for review: 18 Sep 2017 – Discussion started: 22 Sep 2017 https://www.earth-syst-sci-data-discuss.net/essd-2017-93/
722: High Order Schemes for the COSMO model
Ogaja, J. and A. Will (2015), Meteorologische Zeitschrift, revised submission
Will, A. and J. Ogaja (2017) Higher order horizontal schemes in COSMO 5.0 at different resolutions, CLM-Community Newsletter 8, Feb. 2017. Ogaja, J. and A. Will (2016): Will Fourth order, conservative discretization of horizontal Euler equations in the COSMO model and regional climate simulations. Met.Z., DOI 10.1127/metz/2016/0645
Ogaja, J., A. Will (2016): Will Fourth order, conservative discretization of horizontal Euler equations in the COSMO model and regional climate simulations. Met.Z., DOI 10.1127/metz/2016/0645 Will and J. Ogaja (2017) Higher order horizontal schemes in COSMO 5.0 at different resolutions, CLM-Community Newsletter 8, Feb. 2017.
706: The future Okavango: Scientific support for sustainable land and resource management in the Okavango basin
Weber, T., Haensler, A. & D. Jacob (2017): Sensitivity of the atmospheric water cycle to corrections of the sea surface temperature bias over southern Africa in a regional climate model. Clim Dyn. https://doi.org/10.1007/s00382-017-4052-8 Weber, T., Helmschrot, J., Berndt, R. & D. Jacob (2014): Assessment of climate dynamics in the Okavango region using high-resolution ERA-40 reanalysis data. Zentralblatt f. Geologie u. Paläontologie, Teil I., Jg. 2014 Heft 1, 171-187. doi:10.1127/zgpl/2014/0171-0187
704: Study of key oceanic processes with an eddy-resolving numerical simulation of the Arctic-Atlantic Ocean
Neske, S. (2013). Wellenzahlenspektren von Geschwindigkeit und Tracern in eienem numerischen Modell. BSc thesis, University of Hamburg, 94 pp.
Sena Martins, M., N. Serra & D. Stammer (2015). "Spatial and temporal scales of sea surface salinity variability in the Atlantic Ocean". Journal of Geophysical Research, 120, 4306-4323.
Tian-Kunze, X., L. Kaleschke, N. Maaß, M. Makynen, N. Serra, M. Drusch & T. Krumpen (2014). "SMOS derived sea ice thickness: Algorithm baseline, product specifications and initial verification". The Cryosphere, 8, 997-1018.
Köhler, J., M. Sena Martins, N. Serra & D. Stammer (2015). "Quality Assessment of Space-borne Sea Surface Salinity Observations over the northern North Atlantic". Journal of Geophysical Research, 120, 1, 94-112.
Paulsen, H. (2013). Eddy generation within the Deep Western Boundary Current in the South Atlantic. MSc thesis, University of Hamburg, 75 pp.
Hinrichs, C. (2013). Eddy activity in the confluence zone between the Labrador Current and the North Atlantic Current. BSc thesis, University of Hamburg, 43 pp.
Zeigermann, L. (2015). "Variabilität des Volumen- und Frischwassertransports durch den Kanadisch-Arktischen Archipel”. BSc Thesis, University of Hamburg, 47 pp.
Biri, S., N. Serra, M.G. Scharffenberg & D. Stammer (2015). „Atlantic Sea Surface Height and Velocity Spectra inferred from Satellite Altimetry and a Hierarchy of Numerical Simulations”. Journal of Geophysical Research, submitted.
Weiß, B.J., C. Hübscher, T. Lüdmann & N. Serra (2015). "Submarine Sedimentation Processes in the Southeastern Terceira Rift / São Miguel Region (Azores)". Marine Geology, submitted.
702: Möglicher Einfluss von Staub und anderen Aerosolen auf tropische Wirbelstürme im heutigen und zukünftigen Klima
Bretl et al., in preparation
Stevens, B., M. Giorgetta, M. Esch, T. Mauritsen, T. Crueger, S. Rast, M. Salzmann, H. Schmidt, J. Bader, K. Block, R. Brokopf,I. Fast, S. Kinne, L. Kornblueh, U. Lohmann, R. Pincus, T. Reichler, E. Roeckner, The Atmospheric Component of the MPI-M Earth System Model: ECHAM6, J. Geophys. Res., subm., 2012
Dunion, J.P. and Velden, C.S.: The impact of the Saharan Air Layer on Atlantic Tropical Cyclone Activity, Am. Met. Soc. 85(3), 353-365
Sun, D., Lau, K.M. and Kafatos, M.: Contrasting the 2007 and 2005 hurricane seasons: Evidence of possible impacts of Saharan dry air aind dust on tropical cyclone activity in the Atlantic basin, Geophys. Res. Lett. 35, 2008
Lau, W.K.M. and Kim, K.-M.: How nature foiled the 2006 hurricane forecasts, Eos Transactions AGU 88(9), 105-107, 2007
Kleppek, S., Muccione, V., Raible, C. C., Bresch, D. N. and Koellner-Heck, P. S. T.,,Tropical cyclones in ERA-40: A detection and tracking method, Geophys. Res. Lett. 35, 2008
700: Klimasimulationen für die Untere Donau und das Donaudelta
Anders, I. and Rockel B. (2008): The influence of prescribed soil type distribution on the representation of present climate in a regional climate model. Climate Dynamics 33: 177-186
Haslinger K., Anders I., Hofstätter M. (2012): Regional Climate Modelling over complex terrain : an evaluation study of COSMO-CLM hindcast model runs for the Greater Alpine Region. Climate Dynamics. doi: 10.1007/s00382-012-1452-7
695: IMPLICC Virtuelle Arbeitsumgebung
Niemeier, U., & Timmreck, C. (2015). What is the limit of climate engineering by stratospheric injection of SO 2?. Atmospheric Chemistry and Physics, 15(16), 9129-9141, doi:10.5194/acp-15-9129-2015.
Schmidt H. et al. (2012) Solar irradiance reduction to counteract radiative forcing from a quadrupling of CO2: climate responses simulated by four earth system models, Earth System Dynamics, 3, 1, 63-78.
Niemeier, U., H. Schmidt, C. Timmreck: The dependency of geoengineered sulfate aerosol on the emission strategy, Atmos. Sc. Let., 12 (2), 189-194, DOI: 10.1002/asl.304, 2011.
Kravitz, B., A. Robock, O. Boucher, H. Schmidt, K. E. Taylor, G. Stenchikov, M. Schulz: The Geoengineering model Intercomparison Project (GEOMIP), Atmos. Sc. Let., 12 (2),162-167, DOI: 10.1002/asl.316, 2011.
688: Zirren in der Tropopausenregion
n/a
Christopher Pütz, Mark Schlutow, Rupert Klein, Vera Bense, Peter Spichtinger: Reflection and transmission of gravity waves at non-uniform stratification layers. Theoretical and Computational Fluid Dynamics, revised version (submitted 25 October 2017).
682: Large-eddy simulations of cloud and convective processes
Cioni, G. and C. Hohenegger, 2016: Effect of soil moisture on diurnal convection and precipitation in large-eddy simulations. J. Hydromet., submitted.
Sakradzija, M. and C. Hohenegger, 2016: What determines the distribution of shallow convective mass flux through cloud base?, to be submitted.
Rieck M., C. van Heerwaarden and C. Hohenegger, 2014: The influence of land surface heterogeneity on cloud size development. Mon. Wea. Rev., 142, 3830-3846.
Schlemmer L. and C. Hohenegger, 2014: The formation of wider and deeper clouds as a result of cold-pool dynamics. J. Atmos. Sci., 71, 2841-2858.
Rieck, M., C. van Heerwaarden, C. Hohenegger, 2013: The influence of land surface heterogeneity on cloud size development. Submitted to Mon. Wea. Rev.
Schlemmer, L. and C. Hohenegger, 2013: The formation of wider and deeper clouds as a reult of cold-pool dynamics. In revision for J. Atmos. Sci.
Hohenegger, C. and B. Stevens, 2012: Preconditioning deep convection with cumulus congestus. J. Atmos. Sci., in press.
Cioni, G. and C. Hohenegger, 2017: Effect of soil moisture on diurnal convection and precipitation in large-eddy simulations. J. Hydromet., 18, 1885-1903.
Cioni, G. and C. Hohenegger, 2017: A simplified model of precipitation enhancement over a heterogeneous surface. Hydrol. Earth Syst. Sciences Discussion
Peters, K. and C. Hohenegger, 2017: On the Dependence of Squall Line Characteristics on Surface Conditions, J. Atmos. Sci., 74, 2211-2228.
Sakradzija, M. and C. Hohenegger, 2017: What determines the distribution of shallow convective mass flux through cloud base?, J. Atmos. Sci., 74, 2615-2623.
Cioni, G. and C. Hohenegger, 2018: A simplified model of precipitation enhancement over a heterogeneous surface. Hydrol. Earth Syst. Sciences, 22, 3197-3212.
Hohenegger, C. and B. Stevens, 2018: The role of the permanent wilting point in controlling the distribution of precipitation. PNAS, doi:10.1073/pnas.1718842115.
Sakradzija, M. and D. Klocke, 2018: Physically constrained stochastic shallow convection in realistic kilometre-scale simulations. J. Adv. Mod. Earth Systems, doi:10.1029/2018MS001358.
677: Model development and support for the MESSy system (FZJ-IEK-8 part)
Hofmann, C.: Austauschprozesse an Tropopausenfalten extratropischer Zyklonen, Ph.D. thesis, Johannes Gutenberg-Universität, URL http://ubm.opus.hbz-nrw.de/volltexte/2014/3926/ (2014)
Kerkweg, A. and Jöckel, P.: The 1-way on-line coupled atmospheric chemistry model system MECO(n) – Part 1: Description of the limited-area atmospheric chemistry model COSMO/MESSy, Geosci. Model Dev., 5, 87-110, doi:10.5194/gmd-5-87-2012, 2012
Kerkweg, A. and Jöckel, P.: The 1-way on-line coupled atmospheric chemistry model system MECO(n) – Part 2: On-line coupling with the Multi-Model-Driver (MMD), Geosci. Model Dev., 5, 111-128, doi:10.5194/gmd-5-111-2012, 2012
Hofmann, C., Kerkweg, A., Wernli, H., and Jöckel, P.: The 1-way on-line coupled atmospheric chemistry model system MECO(n) – Part 3: Meteorological evaluation of the on-line coupled system, Geosci. Model Dev., 5, 129-147, doi:10.5194/gmd-5-129-2012, 2012
Mertens, M., Kerkweg, A., Jöckel, P., Tost, H., and Hofmann, C.: The 1-way on-line coupled model system MECO(n) – Part 4: Chemical evaluation (based on MESSy v2.52), Geoscientific Model Development, 9, 3545–3567, doi: 10.5194/gmd-9-3545-2016, URL http://www.geosci- model-dev.net/9/3545/2016/ (2016)
675: Simulating Heinrich Events in a Complex Climate Model
Ziemen, F., Rodehacke, C., & Mikolajewicz, U. (2014). Coupled ice sheet–climate modeling under glacial and pre-industrial boundary conditions. Climate of the Past, 10, 1817-1836. doi:10.5194/cp-10-1817-2014
Ziemen (2013) Glacial Climate Variability - Berichte zur Erdsystemforschung 139
671: EUCLIPSE
Stevens, B., S. Bony and M. Webb, 2012: Clouds On-Off Klimate Intercomparison Experiment (COOKIE), available from https://dl.dropbox.com/u/55719273/Cookie.pdf.
Stevens, B., S. Bony, 2013: What are climate models missing. Science, 340(6136), 1053-1054. doi:10.1126/science.1237554.
Stevens, B., S. Bony, 2013: Water in the atmosphere. Physics Today, 66(6), 29-34. doi:10.1063/PT.3.2009.
Popke, D., B. Stevens, and A. Voigt, 2013: Climate and climate change in a radiative-convective equilibrium version of ECHAM6, J. Adv. Model. Earth Syst., 5, 1-14, doi:10.1029/2012MS000191.
Kinne, S., D. O’Donnel, P. Stier, S. Kloster, K. Zhang, H. Schmidt, S. Rast, M. Giorgetta, T. F. Eck, and B. Stevens (2013), MAC-v1: A new global aerosol climatology for climate studies, J. Adv. Model. Earth Syst., 5, doi:10.1002/jame.20035.
Bony, S., and B. Stevens (2012), Grand Challenge on Clouds, Circulation and Climate Sensitivity, WCRP White paper, http://www.wcrp-climate.org/images/documents/grand-challenges/GC4-Clouds-14nov2012.pdf.
Voigt, A., B.Stevens, J.Bader, T. Mauritsen, Compensation of hemispheric albedo asymmetries by shifts of the ITCZ and tropical clouds. submitted.
Mobis, B. and B.Stevens, 2012: Factors controlling the position of the Intertropical Convergence Zone on an aquaplanet, J. Adv. Model. Earth Syst., 4, M00A04, doi:10.1029/2012MS000199.
Mobis, B.,2013: Factors Controlling the Position of the Inter-Tropical Convergence Zone on an Aquaplanet, MPI-M: Berichte zur Ersystemforschung 129.
T. Crueger, B.Stevens and R. Brokopf 2012: The Madden-Julian Oscillation in ECHAM6 and the introduction of an objective MJO metric. J. Climate. accepted.
Popke, D. Stevens, B., A. Voigt, 2012: Climate and climate change in a radiative convective equlibrium version of ECHAM6, J. Adv. Model. Earth Syst., under revision
Moebis, B. and B. Stevens, 2012: Mechanisms controlling the ITCZ placement in idealized simulations with ECHAM6. J. Adv. Model. Earth Syst. under revision
670: Changes in carbon uptake and emissions by oceans in a changing climate
Le Quéré C. et al. (47 co-authors incl J. Segschneider), 2015. Global Carbon Budget 2014. Earth System Science Data, 7(7):47-85. DOI: 10.5194/essd-7-47-2015
Gehlen, M. R. Séférian, D. O. B. Jones, T. Roy, R. Roth, J. Barry, L. Bopp, S. C. Doney, J. P. Dunne, C. Heinze, F. Joos, J. C. Orr, L. Resplandy, J. Segschneider, J. Tjiputra, 2014. Projected pH reductions by 2100 might put deep North Atlantic biodiversity at risk. Biogeosciences, 11(23):6955-6967. DOI: 10.5194/bg-11-6955-2014
Schwinger, J., J.F. Tjiputra, C. Heinze, L. Bopp, J.R. Christian, M. Gehlen, T. Ilyina, C.D. Jones, D. Salas-Mlia, J. Segschneider, R. Séférian, I. Totterdell, 2014. Non-linearity of ocean carbon cycle feedbacks in CMIP5 earth system models. J. Clim., DOI: 10.1175/JCLI-D-13-00452.1
Le Quéré C. et al. (47 co-authors incl J. Segschneider), 2014. Global Carbon Budget 2013. Earth System Science Data, 6, 235-263.
V. Cocco, F. Joos, M. Steinacher, T. L. Frölicher, L. Bopp, J. Dunne, M. Gehlen, C. Heinze, J. Orr, A. Oschlies, B. Schneider, J. Segschneider, and J. Tjiputra, 2013. Oxygen and indicators of stress for marine life in multi-model global warming projections. Biogeosciences., 10, 1849-1868.
Joos, F. et al. (28 co-authors incl. J. Segscneider), 2013. Carbon dioxide and climate impulse response functions for the computation of greenhouse gas metrics: a multi-model analysis, Atm. Chem. Phys., 13, 1-31.
Ilyina, T. K. D. Six, J. Segschneider, E. Maier-Reimer, H. Li, and I. Nunez-Riboni, 2013. Global ocean biogeochemistry model HAMOCC: Model architecture and performance as component of the MPI-Earth system model in different CMIP5 experimental realizations, J. Adv. Mod. Earth Syst., 5, 1–29 .
Jones, C., E. Robertson, V. Arora, P. Friedlingstein, E. Shevliakova, L. Bopp, V.Brovkin, T. Hajima, E. Kato, M. Kawamiya, S. Liddicoat, K. Lindsay, C. Reick, C.Roelandt, J. Segschneider, and J. Tjiputra, 2013: 21st Century compatible CO 2 emissions and airborne fraction simulated by CMIP5 Earth System models under 4 Representative Concentration Pathways. J. Climate, 26, 4398-4413. doi:10.1175/JCLI-D-12-00554.1
Segschneider, J. and J. Bendtsen (2013). Temperature-dependent remineralisation in a warming ocean increases surface pCO2 through changes in marine ecosystem composition. Global Biogeochemical Cycles, 27, 1214-1225.
Duteil, O., W. Koeve, A. Oschlies, O. Aumont, D. Bianchi, L. Bopp, E. Galbraith, R. Matear, J.K. Moore, J. Sarmiento, and J. Segschneider, 2012. Preformed and regenerated phophate in ocean general circulation models: can right concentrations be wrong? Biogeosciences, 9, 1-12.
Jones, C., E. Robertson, V. Arora, P. Friedlingstein, E. Shevliakova, L. Bopp, V.Brovkin, T. Hajima, E. Kato, M. Kawamiya, S. Liddicoat, K. Lindsay, C. Reick, C.Roelandt, J. Segschneider, and J. Tjiputra, 2013: 21st Century compatible CO2 emissions and airborne fraction simulated by CMIP5 Earth System models under 4 Representative Concentration Pathways. J. Climate, 26, 4398-4413. doi:10.1175/JCLI-D-12-00554.1
V. Cocco, F. Joos, M. Steinacher, T. L. Frölicher, L. Bopp, J. Dunne, M. Gehlen, C. Heinze, J. Orr, A. Oschlies, B. Schneider, J. Segschneider, and J. Tjiputra, 2013. Oxygen and indicators of stress for marine life in multi-model global warming projections. Biogeosciences., 10, 1849-1868.
Joos et al. (28 incl. J. Segscneider), 2013. Carbon dioxide and climate impulse response functions for the computation of greenhouse gas metrics: a multi-model analysis, Atm. Chem. Phys., 13, 1-31.
Ilyina, T. K. D. Six, J. Segschneider, E. Maier-Reimer, H. Li, and I. Nunez-Riboni, 2013. Global ocean biogeochemistry model HAMOCC: Model architecture and performance as component of the MPI-Earth system model in different CMIP5 experimental realizations, J. Adv. Mod. Earth Syst., 5, 1–29.
Segschneider, J. and J. Bendtsen (2013). Temperature-dependent remineralisation in a warming ocean increases surface pCO2 through changes in marine ecosystem composition. Submitted to Global Biogeochemical Cycles (under review, publication pending subject to minor revisions).
667: Hind-cast Berechnung mit ECHAM5/MESSy
Unfortunately, their is not publication yet. Only the final report of the MiKlip Project
664: Dynamik orographischer Wolkenbildung im Hochgebirge
see reference list in Report_2015.pdf
Voigt, M. and Wirth, V., 2013: Mechanisms of banner cloud formation, J.Atmos.Sci., http://journals.ametsoc.org/doi/abs/10.1175/JAS-D-12-0353.1
Voigt, M. and Wirth, V. (2012): Mechanisms of Banner Cloud Formation, to be subm. to Journal of the Atmospheric Sciences
Schappert, S., and V. Wirth, 2015: Origin and Flow History of Air Parcels in Orographic Banner Clouds. J. Atmos. Sci., 72, 3389-3403. Schween, J. H., J. Kuettner, D. Reinert, J. Reuder, and V. Wirth (2007), Definition Of Banner Clouds Based On Time Lapse Movies, Atmospheric Chemistry And Physics, 7 (8), 2047-2055.
655: The climate perspective of western China simlated with a hierarchy of dynamical and statistical models (AKSU TARIM-CLIM)
Mannig, B., M. Müller, E. Starke, C. Merkenschlager, W. Mao, X. Zhi, R. Podzun, D. Jacob and H. Paeth (2012): Dynamical downscaling of climate change in Central Asia. Global and Planetary Change, in press.
631: Pollution transport towards the Arctic
Bourgeois and Bey, JGR, 2011
628: SHARP: Stratospheric Change and its Role for Climate Prediction
• Bunzel, F., 2013: Numerical studies of stratosphere-troposphere dynamical coupling in a changing climate, Dissertation, Univ. of Hamburg.
• Bunzel, F., and H. Schmidt, 2013: The Brewer-Dobson Circulation in a changing climate: Impact of the model configuration J. Atmos. Sci., 70, 1437-1455, doi:10.1175/JAS-D-12-0215.1.
F. Bunzel, H. Schmidt: The Brewer-Dobson Circulation in a changing climate: Impact of the model configuration, J. Atmos. Sci., submitted 2012.
H. Schmidt et al.: The response of the middle atmosphere to anthropogenic and natural forcing in the CMIP5 simulations with the MPI-ESM, J. Adv.. Model. Earth Syst., submitted 2012.
620: Multiskalen-Simulationen mit EULAG
von Larcher and Dörnbrack MZ 2014
Gisinger et al TCFD 2015
Kühnlein et al. 2013
Schröttle and Dörnbrack 2013
Kühnlein et al. JCP 2012
Grogger, H., 2016: Simulation of Deep Gravity Wave Propagation Using Eulag. Master Thesis subm. to the University of Innsbruck
Englberger, A. and A. Dörnbrack, 2016: Impact of Neutral Boundary-Layer Turbulence on Wind-Turbine Wakes: A Numerical Modelling Study, Bound. Lay. Meteorol., doi:10.1007/s10546-016-0208-z; http://link.springer.com/article/10.1007%2Fs10546-016-0208-z Englberger, A. and A. Dörnbrack, 2017: Impact of the diurnal cycle of the atmospheric boundary layer on wind-turbine wakes: A numerical modelling study. Bound. Lay. Meteorol. https://doi.org/10.1007/s10546-017-0309-3 Dörnbrack, A., S. Gisinger, and B. Kaifler, 2017: On the Interpretation of Gravity Wave Measurements by Ground-Based Lidars. Atmosphere, 8, 1–22. Gisinger, S., 2017: Gravity waves in the lower atmosphere in mountainous regions and the role of the tropopause. Dissertation, submitted to LMU Munich.
DOI: 10.1002/qj.3848,
Wilms, H., Bramberger, M., and A. Dörnbrack, 2020: Observation and Simulation of Mountain Wave Turbulence above Iceland: Turbulence Intensification due to Wave Interference. Q. J. R. Met. Soc., 1– 21. https://doi.org/10.1002/qj.3848
DOI: 10.1175/JAMC-D-19-0079.1,
Bramberger, M., A. Dörnbrack, H. Wilms, F. Ewald, and R. Sharman, 2020: Mountain-Wave Turbulence Encounter of the Research Aircraft HALO above Iceland. J. Appl. Meteor. Climatol., 59, 567–588, https://doi.org/10.1175/JAMC-D-19-0079.1
DOI: 10.1002/wea.3863,
Dörnbrack, A., Kaifler, B., Kaifler, N., Rapp, M., Wildmann, N., Garhammer, M., Ohlman, K., Payne, J., Sandercock, M., and E. Austin, 2020: Unusual appearance of mother-of-pearl clouds above El Calafate, Argentina (50° 21′ S, 72° 16′ W). Weather, in press.
DOI: 10.5194/wes-2019-105,
Englberger, A., Lundquist, J. K., and A. Dörnbrack, 2020: Should wind turbines rotate in the opposite direction? Wind Energ. Sci. Discuss., https://doi.org/10.5194/wes-2019-105. accepted 14 October 2020
DOI: 10.5194/wes-5-1359-2020,
Englberger, A., Dörnbrack, A., and Lundquist, J. K., 2020: Does the rotational direction of a wind turbine impact the wake in a stably stratified atmospheric boundary layer? Wind Energ. Sci., 5, 1359–1374, https://doi.org/10.5194/wes-5-1359-2020, 2020
DOI: 10.5194/acp-20-10091-2020,
Gisinger, S., Wagner, J., and Witschas, B.: Airborne measurements and large-eddy simulations of small-scale gravity waves at the tropopause inversion layer over Scandinavia, Atmos. Chem. Phys., 20, 10091–10109, https://doi.org/10.5194/acp-20-10091-2020, 2020.
Mixa, T., A. Dörnbrack, and M. Rapp, 2020: Nonlinear Simulations of Gravity Wave Tunneling and Breaking over Auckland Island, J. Atmos. Sci., under revision.
DOI: 10.1175/JAS-D-20-0312.1,
Dörnbrack, A., 2021: Stratospheric mountain waves trailing across Northern Europe, J. Atmos. Sci., (published online ahead of print 2021) https://journals.ametsoc.org/view/journals/atsc/aop/JAS-D-20-0312.1/JAS-D-20-0312.1.xml
DOI: 10.1175/BAMS-D-20-0034.1,
Rapp, M., Kaifler, B., Dörnbrack, A., Gisinger, S., Mixa, T., Reichert, R., Kaifler, N., Knobloch, S., Eckert, R., Wildmann, N., Giez, A., Krasauskas, L., Preusse, P., Geldenhuys, M., Riese, M., Woiwode, W., Friedl-Vallon, F., Sinnhuber, B., Torre, A. d. l., Alexander, P., Hormaechea, J. L., Janches, D., Garhammer, M., Chau, J. L., Conte, J. F., Hoor, P., & Engel, A. (2021). SOUTHTRAC-GW: An Airborne Field Campaign to Explore Gravity Wave Dynamics at the World’s Strongest Hotspot, Bulletin of the American Meteorological Society, 102(4), E871-E893
DOI: 10.1175/JAS-D-20-0230.1,
Mixa, T., A. Dörnbrack, and M. Rapp, 2021: Nonlinear Simulations of Gravity Wave Tunneling and Breaking over Auckland Island, Journal of the Atmospheric Sciences, 78, 1567-1582.
DOI: 10.1175/JAS-D-21-0057.1,
Dörnbrack, A., S. D. Eckermann, B. P. Williams, and J. Haggerty, 2022: Stratospheric gravity waves excited by propagating Rossby wave trains – A DEEPWAVE case study. Journal of the Atmospheric Sciences, 79, 567-591.
DOI: 10.1175/JAS-D-20-0230.1,
Mixa, T., A. Dörnbrack, and M. Rapp, 2021: Nonlinear Simulations of Gravity Wave Tunneling and Breaking over Auckland Island, Journal of the Atmospheric Sciences, 78, 1567-1582.
DOI: 10.1002/wea.3863,
Dörnbrack, A., Kaifler, B., Kaifler, N., Rapp, M., Wildmann, N., Garhammer, M., Ohlman, K., Payne, J., Sandercock, M., and E. Austin, 2020: Unusual appearance of mother-of-pearl clouds above El Calafate, Argentina (50° 21′ S, 72° 16′ W). Weather, in press.
DOI: 10.1029/2022JD037491,
Rodriguez Imazio, P., Mininni, P. D., Godoy, A., Rivaben, N., & Dörnbrack, A., 2023: Not all clear air turbulence is Kolmogorov - The fine-scale nature of atmospheric turbulence. Journal of Geophysical Research: Atmospheres, 128, e2022JD037491.
DOI: 10.5194/amt-16-1087-2023,
Witschas, B., Gisinger, S., Rahm, S., Dörnbrack, A., Fritts, D. C., and Rapp, M., 2023: Airborne coherent wind lidar measurements of the momentum flux profile from orographically induced gravity waves, Atmospheric Measurement Technology, 16, 1087–1101, https://doi.org/10.5194/amt-16-1087-2023, 2023
DOI: 10.1029/2021JD035908,
Rodriguez Imazio, P., Dörnbrack, A., Urzua, R. D., Rivaben, N., & Godoy, A., 2022: Clear Air Turbulence observed across a tropopause fold over the Drake Passage - A Case Study. Journal of Geophysical Research: Atmospheres, 127, e2021JD035908
DOI: 10.1029/2022JD036654,
Dörnbrack, A., P. Bechtold, and U. Schumann, 2022: High-resolution aircraft observations of turbulence and waves in the free atmosphere and comparison with global model predictions. Journal of Geophysical Research: Atmospheres, 127, e2022JD036654.
DOI: 10.1029/2021JD034683,
Reichert, R., B. Kaifler, N. Kaifler, A. Dörnbrack, M. Rapp, and J. L. Hormaechea, 2021: High-Cadence Lidar Observations of Middle Atmospheric Temperature and Gravity Waves at the Southern Andes Hot Spot. Journal of Geophysical Research: Atmospheres, 126, e2021JD034683
DOI: 10.1175/JAS-D-20-0230.1,
Mixa, T., A. Dörnbrack, and M. Rapp, 2021: Nonlinear Simulations of Gravity Wave Tunneling and Breaking over Auckland Island, Journal of the Atmospheric Sciences, 78, 1567-1582.
DOI: 10.1175/JAS-D-21-0057.1,
Dörnbrack, A., S. D. Eckermann, B. P. Williams, and J. Haggerty, 2022: Stratospheric gravity waves excited by propagating Rossby wave trains – A DEEPWAVE case study. Journal of the Atmospheric Sciences, 79, 567-591.
617: Multiscale Earth System Chemistry Modelling
Mertens, M., Kerkweg, A., Jöckel, P., Tost, H., and Hofmann, C.: The 1-way on-line coupled model system MECO(n) – Part 4: Chemical evaluation (based on MESSy v2.52), Geosci. Model Dev., 9, 3545-3567, doi:10.5194/gmd-9-3545-2016, 2016.
Cai,D., M. Dameris, H. Garny, and T. Runde, Implications of all season Arctic sea-ice anomalies on the stratosphere, Atmos. Chem. Phys. Discuss., 12, 12423-12451, 2012.
Lamarque, J.-F. et al., The Atmospheric Chemistry and Climate Model Intercomparison Projekt (ACCMIP): overview and description of models, simulations and climate diagnostics, Geosci. Model Dev. Discuss., 5, 2445-2502, 2012.
Stevenson, D.S. et al., Tropospheric ozone changes, radiative forcing and attribution to emissions in the Atmospheric Chemistry and Climate Model Inter-comparison Project (ACCMIP), Atmos. Chem. Phys. Discuss., 12, 26047-26097, 2012.
Fiore, A. M. et al., Global air quality and climate, Chem.Soc. Rev., DOI: 10.1039/C2CS35095E, 2012.
Voulgarakis, A. et al., Analysis of present day and futre OH and methane lifetime in the ACCMIP simulations, Atmos. Chem. Phys. Discuss., 12, 22945-23005, 2012.
Young, P. J. et al., Pre-industrial to end 21st century projections of tropospheric ozone from the Atmospheric Chemistry and Climate Model Intercomparison Project (ACCMIP), Atmos. Chem. Phys. Discuss. 12, 21615-21677, 2012.
H. Garny, M. Dameris, and A. Stenke. Impact of prescribed SSTs on climatologies and long-term trends in CCM simulations, Atmos. Chem. Phys., 9, 6017-6031
Dameris, M., und D. Loyola, Chemistry-climate connections - Interaction of physical, dynamical, and chemical processes in Earth atmosphere, Chapter 1 in Climate Change-Geophysical Foundations and Ecological Effects, Eds. J. Blanco and H. Kheradmand. 2011.
Garny, H., V. Grewe, M. Dameris, G. E. Bodeker, und A. Stenke, Attribution of ozone changes to dynamical and chemical processes in CCMs and CTMs, Geosci. Model Dev., 4, 271-286, 2011a.
Garny, H., M. Dameris, W. Randel, G. E. Bodeker, und R. Deckert, Dynamically forced increase of tropical upwelling in the lower stratosphere, J. Atmos. Sci., 68, 1214-1233, doi: 10.1175/2011JAS3701.1, 2011b.
Mertens, M. B.: Contribution of road traffic emissions to tropospheric ozone in Europe and Germany, Ph.D. thesis, Ludwig-Maximilians-Universität München, URL http://nbn-resolving.de/urn:nbn:de:bvb:19-207288 (2017)
Mertens, M., Grewe, V., Rieger, V. S., and Jöckel, P.: Revisiting the contribution of land transport and shipping emissions to tropospheric ozone, Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2017-747, in review (2017)
Grewe, V., Tsati, E., Mertens, M., Frömming, C., & Jöckel, P.: Contribution of emissions to concentrations: the TAGGING 1.0 submodel based on the Modular Earth Submodel System (MESSy 2.52), Geoscientific Model Development, 10, 2615–2633, doi: 10.5194/gmd-10-2615-2017, URL https://www.geosci-model-dev.net/10/2615/2017/ (2017)
Rieger, V. S., Mertens, M., and Grewe, V.: An advanced method of contributing emissions to short-lived chemical species (OH and HO2): The TAGGING 1.1 submodel based on the Modular Earth Submodel System (MESSy 2.53), Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2017-227, in review, (2017).
Mertens, M., Grewe, V., Rieger, V. S., & Jöckel, P.: Revisiting the contribution of land transport and shipping emissions to tropospheric ozone, Atmospheric Chemistry and Physics, 18, 5567–5588, doi: 10.5194/acp- 18-5567-2018, URL https://www.atmos-chem-phys.net/18/5567/2018/ (2018)
Rieger, V.S., Mertens, M., & Grewe, V.: An advanced method of contributing emissions to short-lived chemical species (OH and HO2): the TAGGING 1.1 submodel based on the Modular Earth Submodel System (MESSy 2.53), Geoscientific Model Development, 11, 2049–2066, doi: 10.5194/gmd-11-2049-2018, URL https://www.geosci-model-dev.net/11/2049/2018/ (2018)
DOI: 10.1525/elementa.411,
Klausner, T., Mertens, M., Huntrieser, H., Galkowski, M., Kuhlmann, G., Baumann, R., Fiehn, A., Jöckel, P., Pühl, M., & Roiger, A.: Urban greenhouse gas emissions from the Berlin area: A case study using airborne CO2 and CH4 in situ observations in summer 2018, Elem. Sci. Anth., 8(1), p.15, doi: 10.1525/elementa.411
DOI: 10.5194/gmd-13-1925-2020,
Nickl, A.-L., Mertens, M., Roiger, A., Fix, A., Amediek, A., Fiehn, A., Gerbig, C., Galkowski, M., Kerkweg, A., Klausner, T., Eckl, M., & Jöckel, P.: Hindcasting and forecasting of regional methane from coal mine emissions in the Upper Silesian Coal Basin using the online nested global regional chemistry–climate model MECO(n) (MESSy v2.53), Geoscientific Model Development, 13, 1925–1943, doi: 10.5194/gmd-13-1925-2020, URL https://www.geosci-model-dev.net/13/1925/2020/ (2020)
DOI: 10.1088/1748-9326/abf191,
Mertens, M., Jöckel, P., Matthes, S., Nützel, M., Grewe, V., & Sausen, R.: COVID-19 induced lower-tropospheric ozone changes, Environmental Research Letters, doi: 10.1088/1748-9326/abf191, URL http://iopscience.iop.org/article/10.1088/1748-9326/abf191 (2021)
DOI: 10.5194/acp-2021-500,
Andrés Hernández, M. D., Hilboll, A., Ziereis, H., Förster, E., Krüger, O. O., Kaiser, K., Schneider, J., Barnaba, F., Vrekoussis, M., Schmidt, J., Huntrieser, H., Blechschmidt, A.-M., George, M., Nenakhov, V., Klausner, T., Holanda, B. A., Wolf, J., Eirenschmalz, L., Krebsbach, M., Pöhlker, M. L., Hedegaard, A. B., Mei, L., Pfeilsticker, K., Liu, Y., Koppmann, R., Schlager, H., Bohn, B., Schumann, U., Richter, A., Schreiner, B., Sauer, D., Baumann, R., Mertens, M., Jöckel, P., Kilian, M., Stratmann, G., Pöhlker, C., Campanelli, M., Pandolfi, M., Sicard, M., Gomez-Amo, J. L., Pujadas, M., Bigge, K., Kluge, F., Schwarz, A., Daskalakis, N., Walter, D., Zahn, A., Pöschl, U., Bönisch, H., Borrmann, S., Platt, U., and Burrows, J. P.: Overview: On the transport and transformation of pollutants in the outflow of major population centres – observational data from the EMeRGe European intensive operational period in summer 2017, Atmos. Chem. Phys. Discuss. [preprint], https://doi.org/10.5194/acp-2021-500, in review, 2021.
DOI: 10.5194/acp-22-5877-2022,
Andrés Hernández, M. D., Hilboll, A., Ziereis, H., Förster, E., Krüger, O. O., Kaiser, K., Schneider, J., Barnaba, F., Vrekoussis, M., Schmidt, J., Huntrieser, H., Blechschmidt, A.-M., George, M., Nenakhov, V., Harlass, T., Holanda, B. A., Wolf, J., Eirenschmalz, L., Krebsbach, M., Pöhlker, M. L., Kalisz Hedegaard, A. B., Mei, L., Pfeilsticker, K., Liu, Y., Koppmann, R., Schlager, H., Bohn, B., Schumann, U., Richter, A., Schreiner, B., Sauer, D., Baumann, R., Mertens, M., Jöckel, P., Kilian, M., Stratmann, G., Pöhlker, C., Campanelli, M., Pandolfi, M., Sicard, M., Gómez-Amo, J. L., Pujadas, M., Bigge, K., Kluge, F., Schwarz, A., Daskalakis, N., Walter, D., Zahn, A., Pöschl, U., Bönisch, H., Borrmann, S., Platt, U., & Burrows, J. P.: Overview: On the transport and transformation of pollutants in the outflow of major population centres – observational data from the EMeRGe European intensive operational period in summer 2017, Atmospheric Chemistry and Physics, 22, 5877–5924
DOI: 10.1175/BAMS-D-21-0012.1,
Voigt, C., Lelieveld, J., Schlager, H., Schneider, J., Curtius, J., Meerkötter, R., Sauer, D., Bugliaro, L., Bohn, B., Crowley, J. N., Erbertseder, T., Gro, S., Hahn, V., Li, Q., Mertens, M., Pöhlker, M. L., Pozzer, A., Schumann, U., Tomsche, L., Williams, J., Zahn, A., Andreae, M., Borrmann, S., Bräuer, T., Dörich, R., Dörnbrack, A., Edtbauer, A., Ernle, L., Fischer, H., Giez, A., Granzin, M., Grewe, V., Harder, H., Heinritzi, M., Holanda, B. A., Jöckel, P., Kaiser, K., Krüger, O. O., Lucke, J., Marsing, A., Martin, A., Matthes, S., Pöhlker, C., Pöschl, U., Reifenberg, S., Ringsdorf, A., Scheibe, M., Tadic, I., Zauner-Wieczorek, M., Henke, R., & Rapp, M.: Cleaner skies during the COVID-19 lockdown, Bulletin of the American Meteorological Society, doi: 10.1175/BAMS-D-21-0012.1, URL https://journals.ametsoc.org/view/journals/bams/aop/BAMS-D-21-0012.1/BAMS-D-21-0012.1.xml (2022)
599: Development of a coupled ocean-atmosphere data assimilation system
Stammer D., N. Agarwal, P. Herrmann, A. Köhl, C. R. Mechoso (2011), Response of a Coupled Ocean-Atmosphere Model to Greenland Ice Melting, Surv Geophys, 32, 621-642 doi: 10.1007/s10712-011-9142-2
D.Stammer, N.Agarwal, P.Herrmann, A.Köhl and CR Mechoso, Response of a Coupled Ocean-Atmosphere Model to Greenland Ice Melting, 2011, Surveys of Geophysics, Volume 32, Numbers 4-5, 621-642, DOI: 10.1007/s10712-011-9142-2
584: CCLM-CORDEX
Nikulin et al. (2012), Precipitation Climatology in an Ensemble of CORDEX-Africa Regional Climate Simulations, Journal of Climate
Precipitation Climatology in an Ensemble of CORDEX-Africa Regional Climate Simulations (submitted to Journal of Climate)
580: Wirbelauflösende Modellierung des Weltozeans
Deshayes, J., Tréguier, A. M., Barnier, B., Lecointre, A., Sommer, J. L., Molines, J. M., ... & Hirschi, J. M. (2013). Oceanic hindcast simulations at high resolution suggest that the Atlantic MOC is bistable. Geophysical Research Letters 40.
Deshayes et al., Oceanic hindcast simulations at high resolution suggest that the Atlantic MOC is bistable, submitted to Nature
579: Abschätzung von Modellunsicherheiten in Ozeananalysen und vorhersagen: Das grönländische Eisschild
DOI:10.1007/s00382-012-1479-9
577: Produktionskinetik von organischen Halogenen
Stemmler, I., Rothe, M., Hense, I., and Hepach, H. (2013): Numerical modelling of methyl iodide in the eastern tropical Atlantic, Biogeosciences,10, 4211-4225, doi:10.5194/bg-10-4211-2013
573: Direct numerical simulation of climate relevant cloud mixing processes
J. P. Mellado, B. Stevens and H. Schmidt, Investigation of local, mean shear effects at the stratocumulus top using direct numerical simulations, 16. International Conference on Clouds and Precipitation, Leipzig, 30.07-3.08.2012.
J. P. Mellado, B. Stevens and H. Schmidt, Mean Shear Effects at the Cloud-Top Boundary, 23. International Congress in Theoretical and Applied Mechanics, Beijing, 19-24.08.2012.
D. Abma, T. Heus, and J. P. Mellado, Direct numerical simulation of evaporative cooling at the lateral boundary of shallow cumulus clouds, J. Atmos. Sci., 2012 (submitted)
J. P. Mellado, B. Stevens, H. Schmidt and N. Peters, “Probability density functions in the cloud-top mixing layer”, New J. Phys., 12, 085010 (2010).
J. P. Mellado, “The evaporatively-driven cloud-top mixing layer”, J. Fluid Mech., 660, 5-36 (2010).
570: Climate modelling for Iran with ECHAM/REMO and downscaling of meteorological surface parameters
Micro Climate Simulation in new Town ‘Hashtgerd’
555: CMIP5 Klimasimulationen und deren Regionalisierung
keine
Nikulin et al. 2012
Giorgetta_2011
Elizalde et al. 2010
554: Das Wasserbudget der Arktis und seine Veränderlichkeit
Niederdrenk et al.: Interannual variability of the Arctic freshwater cycle in the se- cond half of the 20th century in a regionally coupled climate model Climate Dynamics, submitted
Niederdrenk, 2013: The Arctic hydrologic cycle and its variability in a regional cou- pled climate model. Berichte zur Erdsystemforschung, 138
Anne Laura Niederdrenk (2013): The Arctic hydrologic cycle and its variability in a regional coupled climate model. Dissertation. Berichte zur Erdsystemforschung 138.
550: IMPLICC
Niemeier, Ulrike, and Claudia Timmreck. "What is the limit of climate engineering by stratospheric injection of SO 2?." Atmospheric Chemistry and Physics 15.16 (2015): 9129-9141.
Schmidt, H. et al.: Solar irradiance reduction to counteract radiative forcing from a quadrupling of CO2: climate responses simulated by four earth system models, Earth Syst. Dynam., 3, 63-78, 2012.
Niemeier, U., H. Schmidt, C. Timmreck: The dependency of geoengineered sulfate aerosol on the emission strategy, Atmos. Sc. Let., 12 (2), 189-194, DOI: 10.1002/asl.304, 2011.
Niemeier, U., H. Schmidt, and C. Timmreck, The dependency of geoengineered sulfate aerosol on the emission strategy, Atmos. Sci. Let., in press, 2010,
Aaheim, A., Romstad, B., Wei, T., Kristjánsson, J., Muri, H., Niemeier, U. & Schmidt, H. (2015). An economic evaluation of solar radiation management . Science of the Total Environment, 532, 61-69 , doi:10.1016/j.scitotenv.2015.05.106
Niemeier and Timmreck (2015): What is the limit of climate engineering by stratospheric injection of SO2?, ACP,15(16), 9129-9141, doi:10.5194/acp-15-9129-2015.
Niemeier, Ulrike and Hauke Schmidt: Changing transport processes in the stratosphere by radiative heating of sulfate aerosols, Atmos. Chem. Phys., 17, 14871-14886, https://doi.org/10.5194/acp-17-14871-2017, 2017 Camilla W. Stjern, Helene Muri, Lars Ahlm, Olivier Boucher, Jason N. S. Cole, Duoying Ji, Andy Jones, Jim Haywood, Ben Kravitz, Andrew Lenton, John C. Moore, Ulrike Niemeier, Steven J. Phipps, Hauke Schmidt, Shingo Watanabe, and Jón Egill Kristjánsson: Response to marine cloud brightening in a multi-model ensemble, Atmos. Chem. Phys., 18, 621-634, https://doi.org/10.5194/acp-18-621-2018, 2018 Lauren Marshall, Anja Schmidt, Matthew Toohey, Ken S. Carslaw, Graham W. Mann, Michael Sigl, Myriam Khodri, Claudia Timmreck, Davide Zanchettin, William T. Ball, Slimane Bekki, James S. A. Brooke, Sandip Dhomse, Colin Johnson, Jean-Francois Lamarque, Allegra N. LeGrande, Michael J. Mills, Ulrike Niemeier, James O. Pope, Virginie Poulain, Alan Robock, Eugene Rozanov, Andrea Stenke, Timofei Sukhodolov, Simone Tilmes, Kostas Tsigaridis, and Fiona Tummon: Multi-model comparison of the volcanic sulfate deposition from the 1815 eruption of Mt. Tambora, Atmos. Chem. Phys., 18, 2307-2328, https://doi.org/10.5194/acp-18-2307-2018, 2018 Helene Muri, Jerry Tjiputra, Odd Helge Otterå, Muralidhar Adakudlu, Siv K. Lauvset, Alf Grini, Michael Schulz, Ulrike Niemeier, and Jón Egill Kristjánsson: Climate reponse to aerosol geoengineering: a multi-method comparison, https://doi.org/10.1175/JCLI-D-17-0620.1
DOI: doi.org/10.1007/s10584-018-2362-4,
Pfrommer, Tobias, Timo Goeschl, Alexander Proelss, Martin Carrier, Johannes Lenhard, Henriette Martin, Ulrike Niemeier, Hauke Schmidt: Establishing causation in climate litigation: admissibility and reliability, Climatic Change, 152: 67, doi.org/10.1007/s10584-018-2362-4, 2019
Kravitz Ben, Philip J. Rasch, Hailong Wang, Alan Robock, Corey Gabriel, Olivier Boucher, Jason N. S. Cole, Jim Haywood, Duoying Ji, Andy Jones, Andrew Lenton, John C. Moore, Helene Muri, Ulrike Niemeier, Steven Phipps, Hauke Schmidt, Shingo Watanabe, Shuting Yang, and Jin-Ho Yoon,The climate effects of increasing ocean albedo: An idealized representation of solar geoengineering. Atmos. Chem. Phys., 18, 13097-13113, https://doi.org/10.5194/acp-18-13097-2018, 2018
Muri Helene, Jerry Tjiputra, Odd Helge Otterå, Muralidhar Adakudlu, Siv K. Lauvset, Alf Grini, Michael Schulz, Ulrike Niemeier, and Jón Egill Kristjánsson: Climate reponse to aerosol geoengineering: a multi-method comparison, https://doi.org/10.1175/JCLI-D-17-0620.1
Camilla W. Stjern, Helene Muri, Lars Ahlm, Olivier Boucher, Jason N. S. Cole, Duoying Ji, Andy Jones, Jim Haywood, Ben Kravitz, Andrew Lenton, John C. Moore, Ulrike Niemeier, Steven J. Phipps, Hauke Schmidt, Shingo Watanabe, and Jón Egill Kristjánsson: Response to marine cloud brightening in a multi-model ensemble, Atmos. Chem. Phys., 18, 621-634, https://doi.org/10.5194/acp-18-621-2018
Henning Franke, Ulrike Niemeier, and Daniele Visioni: Differences in the QBO response to stratospheric aerosol modification depending on injection strategy and species, ACPD, acp-2020-1104, submitted, 2020
DOI: doi.org/10.5194/acp-20-8975-2020, 2020,
Niemeier, U., Richter, J. H., and Tilmes, S.: Differing responses of the quasi-biennial oscillation to artificial SO2 injections in two global models, Atmos. Chem. Phys., 20, 8975–8987, doi.org/10.5194/acp-20-8975-2020, 2020.
DOI: doi.org/10.5194/acp-2020-732,
Kravitz, B., MacMartin, D. G., Visioni, D., Boucher, O., Cole, J. N. S., Haywood, J., Jones, A., Lurton, T., Nabat, P., Niemeier, U., Robock, A., Séférian, R., and Tilmes, S.: Comparing different generations of idealized solar geoengineering simulations in the Geoengineering Model Intercomparison Project (GeoMIP), Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2020-732, in review, 2020.
DOI: 10.5194/acp-21-8615-2021,
Franke, H., Niemeier, U., and Visioni, D.: Differences in the quasi-biennial oscillation response to stratospheric aerosol modification depending on injection strategy and species, Atmos. Chem. Phys., 21, 8615–8635, https://doi.org/10.5194/acp-21-8615-2021, 2021.
DOI: 10.5194/acp-21-10039-2021,
Visioni, D., MacMartin, D. G., Kravitz, B., Boucher, O., Jones, A., Lurton, T., Martine, M., Mills, M. J., Nabat, P., Niemeier, U., Séférian, R., and Tilmes, S.: Identifying the sources of uncertainty in climate model simulations of solar radiation modification with the G6sulfur and G6solar Geoengineering Model Intercomparison Project (GeoMIP) simulations, Atmos. Chem. Phys., 21, 10039–10063, https://doi.org/10.5194/acp-21-10039-2021, 2021.
DOI: doi.org/10.5194/acp-22-2999-2022,
Jones, A., Haywood, J. M., Scaife, A. A., Boucher, O., Henry, M., Kravitz, B., Lurton, T., Nabat, P., Niemeier, U., Séférian, R., Tilmes, S., and Visioni, D.: The impact of stratospheric aerosol intervention on the North Atlantic and Quasi-Biennial Oscillations in the Geoengineering Model Intercomparison Project (GeoMIP) G6sulfur experiment, Atmos. Chem. Phys., 22, 2999–3016, doi.org/10.5194/acp-22-2999-2022, 2022.
DOI: 10.5194/acp-21-10039-2021,,
Visioni, D., MacMartin, D. G., Kravitz, B., Boucher, O., Jones, A., Lurton, T., Martine, M., Mills, M. J., Nabat, P., Niemeier, U., Séférian, R., and Tilmes, S.: Identifying the sources of uncertainty in climate model simulations of solar radiation modification with the G6sulfur and G6solar Geoengineering Model Intercomparison Project (GeoMIP) simulations, Atmos. Chem. Phys., 21, 10039–10063, https://doi.org/10.5194/acp-21-10039-2021, 2021.
DOI: 10.5194/acp-22-2955-2022,
Weisenstein, D. K., Visioni, D., Franke, H., Niemeier, U., Vattioni, S., Chiodo, G., Peter, T., and Keith, D. W.: An interactive stratospheric aerosol model intercomparison of solar geoengineering by stratospheric injection of SO2 or accumulation-mode sulfuric acid aerosols, Atmos. Chem. Phys., 22, 2955–2973, https://doi.org/10.5194/acp-22-2955-2022, 2022
DOI: doi.org/10.5194/acp-22-4557-2022,
Tilmes, S., Visioni, D., Jones, A., Haywood, J., Séférian, R., Nabat, P., Boucher, O., Bednarz, E. M., and Niemeier, U.: Stratospheric ozone response to sulfate aerosol and solar dimming climate interventions based on the G6 Geoengineering Model Intercomparison Project (GeoMIP) simulations, Atmos. Chem. Phys., 22, 4557–4579, doi.org/10.5194/acp-22-4557-2022, 2022.
DOI: https://library.wmo.int/idurl/4/42105,
Haywood, J. and S. Tilmes (Lead Authors), F. Keutsch, U. Niemeier, A. Schmidt, D. Visioni, and P. Yu, Stratospheric Aerosol Injection and its Potential Effect on the Stratospheric Ozone Layer, Chapter 6 in Scientific Assessment of Ozone Depletion: 2022, GAW Report No. 278, 509 pp., WMO, Geneva, 2022.
DOI: doi.org/10.5194/acp-23-9725-2023,
Wrana, F., Niemeier, U., Thomason, L. W., Wallis, S., and von Savigny, C.: Stratospheric aerosol size reduction after volcanic eruptions, Atmos. Chem. Phys., 23, 9725–9743, https://doi.org/10.5194/acp-23-9725-2023, 2023.
DOI: doi.org/10.5194/acp-23-5149-2023,
Visioni, D., Kravitz, B., Robock, A., Tilmes, S., Haywood, J., Boucher, O., Lawrence, M., Irvine, P., Niemeier, U., Xia, L., Chiodo, G., Lennard, C., Watanabe, S., Moore, J. C., and Muri, H.: Opinion: The scientific and community-building roles of the Geoengineering Model Intercomparison Project (GeoMIP) – past, present, and future, Atmos. Chem. Phys., 23, 5149–5176, https://doi.org/10.5194/acp-23-5149-2023, 2023.
549: Modellierung von Klimaeffekten von mittel und suedamerikansichen Vulkanen
Kutterolf, S, T. Hansteen, K. Appel, A. Freundt, K. Krüger, W. Peréz, and H. Wehrmann, The combined Bromine and Chlorine release from large explosive volcanic eruptions: a threat to stratospheric ozone?, GEOLOGY, 41(6); 707–710, doi: 10.1130/G34044.1, 2013. Kutterolf, S., T. H.Hansteen, A. Freundt, H. Wehrmann, K. Appel, K. Krüger, W. Pérez, Bromine and chlorine emissions from Plinian eruptions along the Central American Volcanic Arc: From source to atmosphere, EPSL, Vol. 429, 234-246, 2015. Krüger, K., Kutterolf, S., T.H., Hansteen, Chapter 16: Halogen release from Plinian eruptions and depletion of stratospheric Ozone, Volcanism and global environmental change, Cambridge University Press, isbn: 9781107058378, Ed. A. Schmidt et al., PP. 244-259, 2015. *Metzner, D., S. Kutterolf, M. Toohey, C. Timmreck, U. Niemeier, A. Freundt, K. Krüger, Radiative forcing and climate impact resulting from SO2 injections based on a 200,000 year record of Plinian eruptions along the Central American Volcanic Arc, Int J Earth Sci, DOI 10.1007/s00531-012-0814-z, 103(7), 2063-2079, (online already 2012) 2014. *Timmreck, C., H.‐F. Graf, S. J. Lorenz, U. Niemeier, D. Zanchettin, D. Matei, J. H. Jungclaus, and T. J. Crowley, Aerosol size confines climate response to volcanic super‐eruptions, Geophys. Res. Lett., 37, L24705, doi:10.1029/ 2010GL045464, 2010. *Timmreck, C., Graf, H.-F., Zanchettin, D., Hagemann, S., Kleinen, T. and Krüger, K., Climate response to the Toba super-eruption: Regional changes, Quaternary International, 258, 30-44, 2012. *Toohey, M., Krüger, K., Niemeier, U., and Timmreck, C.: The influence of eruption season on the global aerosol evolution and radiative impact of tropical volcanic eruptions, Atmos. Chem. Phys., 11, 12351-12367, doi:10.5194/acp-11-12351-2011, 2011. *Toohey, M., Krüger, K. and Timmreck, C.: Volcanic sulfate deposition to Greenland and Antarctica: A modeling sensitivity study, Journal of Geophysical Research: Atmospheres, 118(10), 4788–4800, doi:10.1002/jgrd.50428, 2013. Toohey, M., Krüger, K., Sigl, M., Stordal, F. and Svensen, H.: Climatic and societal impacts of a volcanic double event at the dawn of the Middle Ages, Clim. Change, doi:10.1007/s10584-016-1648-7, 2016. Sigl, M., J.R. McConnell, M. Toohey, M. Curran, S.B. Das, R. Edwards, E. Isaksson, K. Kawamura, K. Krüger, L. Layman, O. Maselli, Y. Motizuki, D. Pasteris, Rewriting the history of volcanic forcing during the Common Era using new ice cores, Nature Climatic Change, 10.1038/nclimate2293, 2014. 112, 2011. Zierul, S., und K. Krüger, "Klima - Das Jahr ohne Sommer", Beitrag zum Buch "Am Puls der Erde - Naturkatastrophen verstehen", Herausgeber: P. Linke, S. Zierul, B. Friedländer, B. Grundmann, Wachholtz Verlag, Seiten 154-171, 2012. Zierul, S., and K. Krüger, "Climate – The year without summer“, Contribution to the book: Taking the earth’s pulse – Understanding Natural disasters, ed. by Linke, P., Zierul, S., Friedländer, B., and Grundmann, B. Wachholtz Verlag, Neumünster, 197 pp, 2013.
Metzner, D., Kutterolf, S., Toohey, M., Timmreck, C., Niemeier, U., Freundt, A. and Krüger, K.: Radiative forcing and climate impact resulting from SO2 injections based on a 200,000-year record of Plinian eruptions along the Central American Volcanic Arc, Int. J. Earth Sci., doi:10.1007/s00531-012-0814-z, 2014.
Toohey, M., Krüger, K. and Timmreck, C.: Volcanic sulfate deposition to Greenland and Antarctica: A modeling sensitivity study, J. Geophys. Res. Atmos., 118(10), 4788–4800, doi:10.1002/jgrd.50428, 2013.
Toohey, M., K. Krüger, and C. Timmreck (2013), Volcanic sulfate deposition to Greenland and Antarctica: A modeling sensitivity study, J. Geophys. Res. Atmos., 118, doi:10.1002/jgrd.50428.
Metzner D. et al. (2012) Radiative forcing and climate impact resulting from SO2 injections based on a 200,000 year record of Plinian eruptions along the Central American Volcanic Arc, Int J Earth Sci (Geol Rundsch) DOI 10.1007/s00531-012-0814-z, PP. 17.
• Toohey M., K. Krüger, U. Niemeier, and C. Timmreck, (2011a): The influence of eruption season on the global aerosol transport and radiative impact of tropical volcanoes, Atmos. Chem. Phys. Discuss., 11, 22443-22481, (under review for ACP.)
548: INMEDIATO
Izquierdo, Alfredo and Mikolajewicz, Uwe (2016) The role of tides in Mediterranean Outflow waters spreading in the Atlantic Ocean (submitted to J. Adv. Model. Earth Syst.)
Izquierdo, Alfredo, Kagan Boris A., Sein Dmitry V., Mikolajewicz Uwe (2016) Modelling in the strait of Gibraltar: from operational oceanography to scale interactions. Fundamentalnaya i prikladnaya gidrofizika, Vol. 9,4, 15-24
532: Ensemblewettervorhersagen: Erzeugung, Datenassimilation und stochastische Modellierung
Keller, Kornblueh,Hense, Rhodin, 2008, Towards a GME ensemble forecasting system: Ensemble initialization using the breeding technique, Meteorol. Zeitschrift, 17,707-718
531: Zyklieren organischer Stoffe im Ozean und Erdsystem
Lammel G., Stemmler I. (2016b): Global distribution of endosulfan: constraining emission and fate uncertainties by multicompartmental modelling, in preparation
Guglielmo F., Stemmler I., Lammel G. (2012): The impact of organochlorines cycling in the cryosphere on their global distributions and fate – 1. Sea ice, Environ. Pollut. 162, 475-481
Hofmann L., Stemmler I., Lammel G. (2012): The impact of organochlorines cycling in the cryosphere on their global distributions and fate – 2. Land ice and temporary snow cover, Environ. Pollut. 162, 482-488
Lammel G., Stemmler I. (2012): Fractionation and current time trends of PCB congeners: Evolvement of distributions 1950-2010 studied using a global atmosphere-ocean general circulation model, Atmos. Chem. Phys. 12, 7199-7213
Lammel G., Stemmler I. (2016a): POP cycling under climate change: Global trends for PCBs in the 21st century, in preparation
Lammel G., Heil A., Stemmler I., Dvorská A., Klánová J. (2013): On the contribution of biomass burning to POPs (PAHs and PCDDs) in air in Africa, Environ. Sci. Technol. 47, 11616-11624
Octaviani M., Stemmler I., Lammel G., Graf H.F. (2015): Atmospheric transport of persistent organic pollutants to and from the Arctic under present-day and future climate, Environ. Sci. Technol. 49, 3593-3602
Stemmler I., Lammel G. (2010): Pathways of PFOA to the Arctic: Variabilities and contributions of oceanic currents and atmospheric transport and chemistry sources, Atmos. Chem. Phys. 10, 9965-9980
Stemmler I., Lammel G. (2011): Air-sea exchange of semivolatile organic compounds – wind and/or sea surface temperature control of volatilisation studied using a coupled general circulation model", J. Mar. Systems 85, 11-18
Stemmler I., Lammel G. (2012): Long-term trends of continental scale PCB patterns studied using a global atmosphere-ocean general circulation model, Environ. Sci. Pollut. Res. 19, 1971-1980
Stemmler I., Lammel G. (2013): Evidence of the return of past pollution in the ocean – a model study, Geophys. Res. Lett. 40, 1373-1378
Lammel G., Heil A., Stemmler I., Dvorská A., Klánová J.: “On the contribution of biomass burning to POPs (PAHs and PCDDs) in air in Africa”, Environ. Sci. Technol. 47 (2013) 11616-11624
Stemmler I., Lammel G.: “Evidence of the return of past pollution in the ocean – a model study”, Geophys. Res. Lett. 40 (2013) 1373-1378
Lammel G., Stemmler I.: “Fractionation and current time trends of PCB congeners: Evolvement of distributions 1950-2010 studied using a global atmosphere-ocean general circulation model”, Atmos. Chem. Phys. 12 (2012) 7199-7213
Stemmler I., Lammel G.: “Long-term trends of continental scale PCB patterns studied using a global atmosphere-ocean general circulation model", Environ. Sci. Pollut. Res. 19 (2012) 1971-1980
Hofmann L., Stemmler I., Lammel G.: “The impact of organochlorines cycling in the cryosphere on their global distributions and fate – 2. Land ice and temporary snow cover”, Environ. Pollut. 162 (2012) 482-488
Guglielmo F., Stemmler I., Lammel G.: “The impact of organochlorines cycling in the cryosphere on their global distributions and fate – 1. Sea ice”, Environ. Pollut. 162 (2012) 475-481
Stemmler I., Lammel G.: “Long-term trends of continental scale PCB patterns studied using a global atmosphere-ocean general circulation model", Environ. Sci. Pollut. Res. 19 (2012) 1971-1980
Lammel G., Stemmler I.: “Fractionation and current time trends of PCB congeners: Evolvement of distributions 1950-2010 studied using a global atmosphere-ocean general circulation model”, Atmos. Chem. Phys. 12 (2012) 7199-7213
Guglielmo F., Lammel G., Maier-Reimer E.: “Global environmental cycling of DDT and -HCH in the 1980s - a study using a coupled atmosphere and ocean general circulation model”, Chemosphere 76 (2009) 1509–1517
Stemmler I., Lammel G.: “Pathways of PFOA to the Arctic: Variabilities and contributions of oceanic currents and atmospheric transport and chemistry sources", Atmos. Chem. Phys. Discuss. 10 (2010) 11577-11614
Hofmann L., Stemmler I., Lammel G.: “The impact of organochlorines cycling in the cryosphere on their global distributions and fate – 2. Land ice and temporary snow cover”, Environ. Pollut. (2011) doi:10.1016/j.envpol.2011.10.004, in press
Guglielmo F., Stemmler I., Lammel G.: “The impact of organochlorines cycling in the cryosphere on their global distributions and fate – 1. Sea ice”, Environ. Pollut. (2011) doi:10.1016/j.envpol.2011.09.039, in press
Valdebenito A.M., Pal S., Behrendt A., Wulfmeyer V., Lammel G.: “A novel approach for the characterization of transport and optical properties of aerosol particles near sources – II. Microphysics-chemistry-transport model development and application", Atm
Stemmler I., Lammel G.: “Air-sea exchange of semivolatile organic compounds – wind and/or sea surface temperature control of volatilisation studied using a coupled general circulation model", J. Mar. Systems 85 (2011) 11-18
Stemmler I., Lammel G.: “Pathways of PFOA to the Arctic: Variabilities and contributions of oceanic currents and atmospheric transport and chemistry sources", Atmos. Chem. Phys. 10 (2010) 9965-9980
Stemmler I., Lammel G.: “Cycling of DDT in the global oceans 1950-2002: World ocean returns the pollutant”, Geophys. Res. Lett. 36 (2009) L24602, doi:10.1029/2009GL041340
Guglielmo F., Lammel G., Maier-Reimer E.: “Global environmental cycling of DDT and -HCH in the 1980s - a study using a coupled atmosphere and ocean general circulation model”, Chemosphere 76 (2009) 1509–1517
Lammel G., Sehili A.M., Bond T.C., Feichter J., Grassl H.: “Gas/particle partitioning and global distribution of polycyclic aromatic hydrocarbons – a modelling approach”, Chemosphere 76 (2009) 98-106
527: CLARIS LPB A Europe-South America Network for Climate Change Assessment and Impact Studies in La Plata Basin
Solman et al, 2013. Evaluation of an ensemble of regional climate model simulations over South America driven by the ERA-Interim reanalysis: model performance and uncertainties. DOI 10.1007/s00382-013-1667-2
E. Sánchez, et al., 2015. Regional climate modelling in CLARISLPB: a concerted approach towards twentyfirst century projections of regional temperature and precipitation over South America. DOI 10.1007/s00382-014-2466-0
Solman, S.A., E. Sanchez, P. Samuelsson, R.P. da Rocha, L. Li, J. Marengo, N.L. Pessacg, A.R.C. Remedio, S.C. Chou, H. Berbery, H. Le Treut, M. de Castro and D. Jacob (2013): Evaluation of an ensemble of regional climate model simulations over South America driven by the ERA-Interim reanalysis: model performance and uncertainties. Climate Dynamics. Volume 41, Issue 5-6, pp 1139-1157. DOI: 10.1007/s00382-013-1667-2
Solman, et al. (2012) Evaluation of an ensemble of regional climate model simulations over South America driven by the ERA-Interim reanalysis: Models' performance and uncertainties. Submitted in Climate Dynamics.
Teichmann, C.; Eggert, B.; Elizalde, A.; Haensler, A.; Jacob, D.; Kumar, P.; Moseley, C.; Pfeifer, S.; Rechid, D.; Remedio, A.R.; Ries, H.; Petersen, J.; Preuschmann, S.; Raub, T.; Saeed, F.; Sieck, K.; Weber, T. How Does a Regional Climate Model Modify the Projected Climate Change Signal of the Driving GCM: A Study over Different CORDEX Regions Using REMO. Atmosphere 2013, 4, 214-236.
S. A. Solman, E. Sanchez, P. Samuelsson, R. P. da Rocha, L. Li, J. Marengo, N. L. Pessacg, A. R C Remedio, S. C. Chou, H. Berbery, H. Le Treut, M. de Castro, and D. Jacob. Evaluation of an ensemble of regional climate model simulations over South America driven by the ERA-Interim reanalysis: Model performance and uncertainties. Climate Dynamics, 41(5-6):1139–1157, 2013.
E. Sánchez, S. Solman, A. R. C. Remedio, H. Berbery, P. Samuelsson, R. P. Da Rocha, C. Mourão, L. Li, J. Marengo, M. de Castro, and D. Jacob. Regional climate modelling in CLARIS-LPB: a concerted approach towards twentyfirst century projections of regional temperature and precipitation over South America. Climate Dynamics, January 2015.
526: KLIMZUG-NORD
Jacob D, Bülow K, Kotova L, Moseley C, Petersen J, Rechid D: Regionale Klimaprojektionen für Europa und Deutschland: Ensemble Simulationen für die Klimafolgenforschung. CSC Report 6, Climate Service Center Hamburg.
521: ScalES - Scalable Earth-System-Models for high productivity climate simulations
Panagiotis Adamidis, Irina Fast and Thomas Ludwig, "Performance Characteristics of Global High-Resolution Ocean (MPIOM) and Atmosphere (ECHAM6) Models on Large-scale Multicore Cluster" In Proceedings of 11th Conference on Parallel Computing Technologies
519: NATHAN - Quantification of Natural Climate Variability in the Atmosphere-Hydrosphere System with Data Constrained Simulations
Publikationsliste im "Rechenzeitbericht_NATHAN2015.pdf"
Oberländer et al. (2012)
Neef and Matthes (2012)
Petrick et al. (2012)
Martin-Puertas, Matthes, et al. (2012)
Ermolli, Matthes et al. (2012)
DOI: 10.5194/acp-2021-241,
Drews, A., Huo, W., Matthes, K., Kodera, K., and Kruschke, T.: The Sun's Role for Decadal Climate Predictability in the North Atlantic, Atmos. Chem. Phys. Discuss. [preprint], https://doi.org/10.5194/acp-2021-241, in review, 2021
DOI: 10.5194/wcd-3-139-2022,
Ivanciu, I. , Matthes, K. , Biastoch, A. , Wahl, S. and Harlaß, J. (2022) Twenty-first century Southern Hemisphere impacts of ozone recovery and climate change from the stratosphere to the ocean. Open Access Weather and Climate Dynamics, 3 . pp. 139-171. DOI 10.5194/wcd-3-139-2022.
DOI: 0.1029/2022GL099607,
Ivanciu, I. , Ndarana, T., Matthes, K. and Wahl, S. (2022) On the Ridging of the South Atlantic Anticyclone Over South Africa: The Impact of Rossby Wave Breaking and of Climate Change. Open Access Geophysical Research Letters, 49 (20). e2022GL099607. DOI 10.1029/2022GL099607.
DOI: 10.5194/acp-21-5777-2021,
Ivanciu, I. , Matthes, K. , Wahl, S. , Harlaß, J. and Biastoch, A. (2021) Effects of prescribed CMIP6 ozone on simulating the Southern Hemisphere atmospheric circulation response to ozone depletion. Open Access Atmospheric Chemistry and Physics, 21 (8). pp. 5777-5806. DOI 10.5194/acp-21-5777-2021.
DOI: 10.5194/acp-22-7893-2022,
Drews, A., Huo, W., Matthes, K., Kodera, K., & Kruschke, T. (2022). The Sun’s role in decadal climate predictability in the North Atlantic. Atmospheric Chemistry and Physics, 22(12), 7893–7904. https://doi.org/10.5194/acp-22-7893-2022
DOI: doi.org/10.5194/wcd-4-471-2023,
Casselman, J. W., Lübbecke, J. F., Bayr, T., Huo, W., Wahl, S., and Domeisen, D. I. V., 2023. The teleconnection of extreme El Niño–Southern Oscillation (ENSO) events to the tropical North Atlantic in coupled climate models, Weather Clim. Dynam., 4, 471–487,
DOI: doi.org/10.5194/acp-22-7893-2022.,
Drews, A., Huo, W., Matthes, K., Kodera, K., and Kruschke, T. 2022. The Sun's role in decadal climate predictability in the North Atlantic, Atmos. Chem. Phys., 22, 7893–7904.
514: Impact of large magnitude volcanic eruptions on ocean fertilization and the global CO2-budget
Niemeier, U., C. Timmreck, H.F. Graf, S. Kinne, S.Rast, and S.Self, 2009. Initial fate of fine ash and sulphur from large volcanic eruptions, Atmos. Phys. Chem., 9, 9043-9057
510: Wechselwirkung von Ozean Gezeiten und Zirkulation
Müller, M., J. Cherniawsky, M. Foreman, and J.-S. von Storch (2012) Global map of M2 internal tide and its seasonal variability from high resolution ocean circulation and tide modelling, Geophysical Research Letters 39, L19607.
Müller, M. (2012) The influence of changing stratification conditions on barotropic tidal transport and its implications for seasonal and secular changes of tides. Continental Shelf Research, 47, 107-118, doi:10.1016/j.csr.2012.07.003.
Müller, M., H. Haak, J. H. Jungclaus, J. Sündermann and M. Thomas (2010) The impact of ocean tides on a climate model simulation, (in press) http://dx.doi.org/10.1016/j.ocemod.2007.09.001
506: Klima RLP
Gutjahr, O., Heinemann, G., 2013: Comparing precipitation bias correction methods for high-resolution regional climate simulations using COSMO-CLM - Effects on extreme values and climate change signal. Theor. Appl. Climatol., 21pp, DOI 10.1007/s00704-013-0834-z.
Casper, M., G. Grigoryan, O. Gronz, O. Gutjahr, G. Heinemann, R. Ley, A. Rock, 2012: Analysis of projected hydrological behavior of catchments based on signature indices. Hydrol. Earth Syst. Sci. 16, 409-421
Casper, M., G. Grigoryan, O. Gronz, O. Gutjahr, G. Heinemann, R. Ley, A. Rock, 2011: Analysis of projected hydrological behavior of catchments based on signature indices. HESSD 8, 3571–3597
499: GFZ - Erdsystem-Modellierung
Dill, R., Klemann, V., Martinec, Z., Tesauro, M. (2015): Applying local Green's functions to study the influence of the crustal structure on hydrological loading displacements. - Journal of Geodynamics.
Dobslaw, H., Bergmann, I., Dill, R., Forootan, E., Klemann, V., Kusche, J., Sasgen, I. (2015): The updated ESA Earth System Model for future gravity mission simulation studies. - Journal of Geodesy, 89, 5, p. 505-513.
Fagiolini, E., Flechtner, F., Horwath, M., Dobslaw, H. (2015): Correction of inconsistencies in ECMWF's operational analysis data during de-aliasing of GRACE gravity models. - Geophysical Journal International, 202, 3, p. 2150-2158.
Kuhlmann, J., Rogozhina, I., Dill, R., Bergmann, I., Thomas, M. (2015): A method for reconstructing global ocean-induced surface displacements from land-based in-situ stations. - Journal of Geodynamics, 83, p. 18-27.
Saynisch, J., Bergmann, I., Thomas, M. (2015): Assimilation of GRACE-derived oceanic mass distributions with a global ocean circulation model. - Journal of Geodesy, 89, 2, p. 121-139.
Zhang, L., Dobslaw, H., Dahle, C., Sasgen, I., Thomas, M. (2015): Validation of MPI-ESM Decadal Hindcast Experiments with Terrestrial Water Storage Variations as Observed by the GRACE Satellite Mission. - Meteorologische Zeitschrift.
Dill, R.; Dobslaw, H. (2013): Numerical simulations of global-scale high-resolution hydrological crustal deformations. Journal of Geophysical Research, 118, 9, 5008-5017.
Dill, R.; Dobslaw, H.; Thomas, M. (2013): Combination of modeled short-term angular momentum function forecasts from atmosphere, ocean, and hydrology with 90-day EOP predictions. Journal of Geodesy, 87, 6, 567-577.
Dobslaw, H.; Flechtner, F.; Bergmann-Wolf, I.; Dahle, C.; Dill, R.; Esselborn, S.; Sasgen, I.; Thomas, M. (2013): Simulating high-frequency atmosphere-ocean mass variability for de-aliasing of satellite gravity observations: AOD1B RL05. Journal of Geophysical Research, 118, 7, 3704-3711.
Kuhlmann, J.; Dobslaw, H.; Petrick, C.; Thomas, M. (2013 online first): Ocean bottom pressure signals around Southern Africa from in situ measurements, satellite data, and modeling. Journal of Geophysical Research,
Saynisch, J.; Thomas, M. (2012): Ensemble Kalman-Filtering of Earth rotation observations with a global ocean model. Journal of Geodynamics. doi: 10.1016/j.jog.2011.10.003.
Saynisch, J.; Wenzel, M.; Schröter, J. (2011): Assimilation of Earth rotation parameters into a global ocean model: excitation of polar motion. Nonlinear Processes in Geophysics, 18, 5, 581-585. doi: 10.5194/npg-18-581-2011.
Saynisch, J.; Wenzel, M.; Schröter, J. (2011): Assimilation of Earth rotation parameters into a global ocean model: length of day excitation. Journal of Geodesy, 85, 2, 67-73. doi: 10.1007/s00190-010-0416-0.
Bergmann, I.; Dobslaw, H. (2012): Short-term transport variability of the Antarctic circumpolar current from satellite gravity observations. Journal of Geophysical Research, 117, C05044.
Bergmann, I.; Ramillien, G.; Frappart, F. (2012): Climate-driven interannual ice mass evolution in Greenland. Global and Planetary Change, 82-83, 1-11.
Kuhlmann, J.; Dobslaw, H.; Thomas, M. (2011): Improved modelling of sea-level patterns by incorporating self-attraction and loading. Journal of Geophysical Research, 116, C11036. doi: 10.1029/2011JC007399
Rogozhina, I.; Hagedoorn, J.; Martinec, Z.; Fleming, K.; Soucek, O.; Greve, R.; Thomas, M. (2012): Effects of uncertainties in the geothermal heat flux distribution on the Greenland Ice Sheet: An assessment of existing heat flow models. Journal of Geophys
Saynisch, J.; Thomas, M. (2012): Ensemble Kalman-Filtering of Earth rotation observations with a global ocean model. Journal of Geodynamics. doi: 10.1016/j.jog.2011.10.003.
Dobslaw, H., R. Dill, A. Groetzsch, A. Brzezinski, and M. Thomas (2010), Seasonal polar motion excitation from numerical models of atmosphere, ocean, and continental hydrosphere, J. Geophys. Res., doi:10.1029/2009JB007127
Dill, R. and H. Dobslaw (2010), Short-term polar motion forecasts from earth system modeling data, J. of Geodesy 84, pp 529-536, doi:10.1007/s00190-010-0391-5.
Sasgen, I.; Martinec, Z.; Bamber, J. (2010), Combined GRACE and InSAR estimate of West Antarctic ice-mass loss. Journal of Geophysical Research. EDOC: 15343, doi: 10.1029/2009JF001525
BRZEZINSKI A., H. DOBSLAW, R. DILL, AND M. THOMAS (2010), Geophysical excitation of the Chandler wobble revisited. Proceedings of IAG 2009 Scientific Assembly "Geodesy for Planet Earth", Springer.
Bergmann, I. (2010), Zeitliche Variationen im Antarktischen Zirkumpolarstrom aus Beobachtungen der Schwerefeldmission GRACE, Diplomarbeit, Institut für Planetare Geodäsie, TU Dresden.
Saynisch, J.; Wenzel, M.; Schröter, J. (2011): Assimilation of Earth rotation parameters into a global ocean model: excitation of polar motion. Nonlinear Processes in Geophysics, 18, 5, 581-585.
Saynisch, J.; Wenzel, M.; Schröter, J. (2011): Assimilation of Earth rotation parameters into a global ocean model: length of day excitation. Journal of Geodesy, 85, 2, 67-73.
Dill, R., Dobslaw, H. (2010), Short-term Polar Motion Forecasts from Earth System Modeling Data, J. Geodesy, 84, 9, 529 - 536, doi:10.1007/s00190-010-0391-5.
Bergmann-Wolf, I. (2016): Oceanographic applications of GRACE gravity data on global and regional scales, PhD Thesis, Berlin : Freie Universität, 140 p.
Dobslaw, H., Bergmann-Wolf, I., Forootan, E., Dahle, C., Mayer-Gürr, T., Kusche, J., Flechtner, F. (2016): Modeling of present-day atmosphere and ocean non-tidal de-aliasing errors for future gravity mission simulations. - Journal of Geodesy, 90, 5, p. 423-436. doi: 10.1007/s00190-015-0884-3
Flechtner, F., Neumayer, K.-H., Dahle, C., Dobslaw, H., Fagiolini, E., Raimondo, J.-C., Güntner, A. (2016): What Can be Expected from the GRACE-FO Laser Ranging Interferometer for Earth Science Applications? - Surveys in Geophysics, 37, 2, p. 453-470. doi: 10.1007/s10712-015-9338-y
Zhang, L., Dobslaw, H., Thomas, M. (2016): Globally gridded terrestrial water storage variations from GRACE satellite gravimetry for hydrometeorological applications. - Geophysical Journal International, 206, 1, p. 368-378. doi: 10.1093/gji/ggw153
Dobslaw, H. (2016): Homogenizing surface pressure time-series from operational numerical weather prediction models for geodetic applications. - Journal of Geodetic Science, 6, 1, p. 61-68. doi: 10.1515/jogs-2016-0004
Dobslaw, H., Bergmann-Wolf, I., Dill, R., Poropat, L., Thomas, M., Dahle, C., Esselborn, S., König, R., Flechtner, F. (2017): A new high-resolution model of non-tidal atmosphere and ocean mass variability for de-aliasing of satellite gravity observations: AOD1B RL06. - Geophysical Journal International, 211, 1, pp. 263-269. doi:10.1093/gji/ggx302
Dill, R., Klemann, V., Dobslaw, H. (2018): Relocation of River Storage From Global Hydrological Models to Georeferenced River Channels for Improved Load-Induced Surface Displacements. - Journal of Geophysical Research, 123, 8, pp. 7151-7164
Dill, R., Dobslaw, H., Thomas, M. (2018): Improved 90-day Earth orientation predictions from angular momentum forecasts of atmosphere, ocean, and terrestrial hydrosphere. - Journal of Geodesy. doi:10.1007/s00190-018-1158-7
Dobslaw, H., Dill, R. (2018): Predicting Earth orientation changes from global forecasts of atmosphere-hydrosphere dynamics. - Advances in Space Research, 61, 4, pp. 1047-1057. doi:10.1016/j.asr.2017.11.044
Poropat, L., Dobslaw, H., Zhang, L., Macrander, A., Boebel, O., Thomas, M. (2018): Time Variations in Ocean Bottom Pressure from a Few Hours to Many Years: in situ Data, Numerical Models, and GRACE Satellite Gravimetry. - Journal of Geophysical Research. doi:10.1029/2018JC014108
Wang, L., Chen, C., Thomas, M., Kaban, M. K., Güntner, A., Du, J. (2018): Increased water storage of Lake Qinghai during 2004 to 2012 from GRACE data, hydrological models, radar altimetry, and in-situ measurements. - Geophysical Journal International. doi:10.1093/gji/ggx443
Zhang, L., Dobslaw, H., Stacke, T., Güntner, A., Dill, R., Thomas, M. (2017): Validation of terrestrial water storage variations as simulated by different global numerical models with GRACE satellite observations. - Hydrology and Earth System Sciences, 21, 2, pp. 821-837. doi:10.5194/hess-21-821-2017
DOI: 10.1007/s00190-018-1158-7,
Dill, R., Dobslaw, H., Thomas, M. (2018b): Improved 90-day Earth orientation predictions from angular momentum forecasts of atmosphere, ocean, and terrestrial hydrosphere. - Journal of Geodesy. doi:10.1007/s00190-018-1158-7.
DOI: 10.1016/j.asr.2017.11.044,
Dobslaw, H., Dill, R. (2018): Predicting Earth orientation changes from global forecasts of atmosphere-hydrosphere dynamics. - Advances in Space Research, 61, 4, pp. 1047-1057. doi:10.1016/j.asr.2017.11.044.
Dill, R., Dobslaw, H. (2019): Seasonal Variations in Global Mean Sea-Level and Consequences on the Excitation of Length-of-Day Changes. - Geophysical Journal International, 218, 2, pp. 801-816.
Chen, Q., Poropat, L., Zhang, L., Dobslaw, H., Weigelt, M., van Dam, T. (2018): Validation of the EGSIEM GRACE Gravity Fields Using GNSS Coordinate Timeseries and In-Situ Ocean Bottom Pressure Records. - Remote Sensing, 10, 12, 1976.
Dahle, C., Murböck, M., Flechtner, F., Dobslaw, H., Michalak, G., Neumayer, K., Abrykosov, O., Reinhold, A., König, R., Sulzbach, R., Förste, C. (2019): The GFZ GRACE RL06 Monthly Gravity Field Time Series: Processing Details and Quality Assessment. - Remote Sensing, 11, 18, 2116.
Dill, R., Klemann, V., Dobslaw, H. (2018a): Relocation of River Storage From Global Hydrological Models to Georeferenced River Channels for Improved Load-Induced Surface Displacements. - Journal of Geophysical Research, 123, 8, pp. 7151-7164.
Jäggi, A., Weigelt, M., Flechtner, F., Güntner, A., Mayer-Gürr, T., Martinis, S., Bruinsma, S., Flury, J., Bourgogne, S., Steffen, H., Meyer, U., Jean, Y., Sušnik, A., Grahsl, A., Arnold, D., Cann-Guthauser, K., Dach, R., Li, Z., Chen, Q., van Dam, T., Gruber, C., Poropat, L., Gouweleeuw, B., Kvas, A., Klinger, B., Lemoine, J., Biancale, R., Zwenzner, H., Bandikova, T., Shabanloui, A. (2019): European Gravity Service for Improved Emergency Management (EGSIEM) - from concept to implementation. - Geophysical Journal International, 218, 3, pp. 1572-1590.
Neelmeijer, J., Schöne, T., Dill, R., Klemann, V., Motagh, M. (2018): Ground Deformations around the Toktogul Reservoir, Kyrgyzstan, from Envisat ASAR and Sentinel-1 Data—A Case Study about the Impact of Atmospheric Corrections on InSAR Time Series. - Remote Sensing, 10, 3, 462
DOI: 10.1029/2018JD029989,
Jensen, L., Eicker, A., Dobslaw, H., Stacke, T., Humphrey, V. (2019): Long‐Term Wetting and Drying Trends in Land Water Storage Derived From GRACE and CMIP5 Models. - Journal of Geophysical Research (Atmospheres), 10.1029/2018JD029989.
DOI: 10.1007/s00190-019-01298-y,
Männel, B., Dobslaw, H., Dill, R., Glaser, S., Balidakis, K., Thomas, M., Schuh, H. (2019): Correcting surface loading at the observation level: impact on global GNSS and VLBI station networks. - Journal of Geodesy, 10.1007/s00190-019-01298-y.
DOI: 10.1029/2018JC014108,
Poropat, L., Dobslaw, H., Zhang, L., Macrander, A., Boebel, O., Thomas, M. (2018): Time Variations in Ocean Bottom Pressure from a Few Hours to Many Years: in situ Data, Numerical Models, and GRACE Satellite Gravimetry. - Journal of Geophysical Research. doi:10.1029/2018JC014108.
DOI: 10.1093/gji/ggz439,
Poropat, L., Kvas, A., Mayer-Gürr, T., Dobslaw, H. (2019): Mitigating Temporal Aliasing Effects of High-Frequency Geophysical Fluid Dynamics in Satellite Gravimetry. - Geophysical Journal International, 10.1093/gji/ggz439.
Ron, C., Vondrák, J., Dill, R., Chapanov, Y. (2019): Combination of geo-magnetic jerks with updated ESMGFZ effective angular momentum functions for the modelling of polar motion excitation. - Acta Geodynamica et Geomaterialia, 16, 4, pp. 359-363.
Tapley, B. D., Watkins, M. M., Flechtner, F., Reigber, C., Bettadpur, S., Rodell, M., Sasgen, I., Famiglietti, J. S., Landerer, F. W., Chambers, D. P., Reager, J. T., Gardner, A. S., Save, H., Ivins, E. R., Swenson, S. C., Boening, C., Dahle, C., Wiese, D. N., Dobslaw, H., Tamisiea, M. E., Velicogna, I. (2019): Contributions of GRACE to understanding climate change. - Nature Climate Change, 9, pp. 358-369.
DOI: 10.1093/gji/ggx443,
Wang, L., Chen, C., Thomas, M., Kaban, M. K., Güntner, A., Du, J. (2018): Increased water storage of Lake Qinghai during 2004 to 2012 from GRACE data, hydrological models, radar altimetry, and in-situ measurements. - Geophysical Journal International. doi:10.1093/gji/ggx443.
Wang, L., Khan, S. A., Bevis, M., Broeke, M. R., Kaban, M. K., Thomas, M., Chen, C. (2019a): Downscaling GRACE Predictions of the Crustal Response to the Present‐Day Mass Changes in Greenland. - Journal of Geophysical Research, 124, 5, pp. 5134-5152.
Wang, L., Kaban, M. K., Thomas, M., Chen, C., Ma, X. (2019b): The Challenge of Spatial Resolutions for GRACE-Based Estimates Volume Changes of Larger Man-Made Lake: The Case of China’s Three Gorges Reservoir in the Yangtze River. - Remote Sensing, 11, 1, 99.
DOI: 10.1007/s13137-020-00160-0,
Boergens, E., Dobslaw, H., Dill, R., Thomas, M., Dahle, C., Flechtner, F. (2020): Modelling spatial covariances for terrestrial water storage variations verified with synthetic GRACE-FO data. - GEM - International Journal on Geomathematics, 11, 24.
DOI: 10.1029/2020GL087285,
Boergens, E., Güntner, A., Dobslaw, H., Dahle, C. (2020): Quantifying the Central European Droughts in 2018 and 2019 with GRACE Follow-On. - Geophysical Research Letters, 47, 14, e2020GL087285.
Dahle, C., Murböck, M., Flechtner, F., Dobslaw, H., Michalak, G., Neumayer, K., Abrykosov, O., Reinhold, A., König, R., Sulzbach, R., Förste, C. (2019): The GFZ GRACE RL06 Monthly Gravity Field Time Series: Processing Details and Quality Assessment. - Remote Sensing, 11, 18, 2116.
Dill, R., Dobslaw, H. (2019): Seasonal Variations in Global Mean Sea-Level and Consequences on the Excitation of Length-of-Day Changes. - Geophysical Journal International, 218, 2, pp. 801-816.
DOI: 10.1029/2020JB020025,
Dill, R., Dobslaw, H., Hellmers, H., Kehm, A., Bloßfeld, M., Thomas, M., Seitz, F., Thaller, D., Hugentobler, U., Schönemann, E. (2020): Evaluating Processing Choices for the Geodetic Estimation of Earth Orientation Parameters with Numerical Models of Global Geophysical Fluids. - Journal of Geophysical Research: Solid Earth, 125, 9, e2020JB020025.
DOI: 10.1038/s41598-020-61166-0,
Eicker, A., Jensen, L., Wöhnke, V., Dobslaw, H., Kvas, A., Mayer-Gürr, T., Dill, R. (2020): Daily GRACE satellite data evaluate short-term hydro-meteorological fluxes from global atmospheric reanalyses. - Scientific Reports, 10, 4504.
Jäggi, A., Weigelt, M., Flechtner, F., Güntner, A., Mayer-Gürr, T., Martinis, S., Bruinsma, S., Flury, J., Bourgogne, S., Steffen, H., Meyer, U., Jean, Y., Sušnik, A., Grahsl, A., Arnold, D., Cann-Guthauser, K., Dach, R., Li, Z., Chen, Q., van Dam, T., Gruber, C., Poropat, L., Gouweleeuw, B., Kvas, A., Klinger, B., Lemoine, J., Biancale, R., Zwenzner, H., Bandikova, T., Shabanloui, A. (2019): European Gravity Service for Improved Emergency Management (EGSIEM) - from concept to implementation. - Geophysical Journal International, 218, 3, pp. 1572-1590.
DOI: 10.1029/2018JD029989,
Jensen, L., Eicker, A., Dobslaw, H., Stacke, T., Humphrey, V. (2019): Long‐Term Wetting and Drying Trends in Land Water Storage Derived From GRACE and CMIP5 Models. - Journal of Geophysical Research (Atmospheres), 10.1029/2018JD029989.
DOI: 10.1175/JCLI-D-20-0042.1,
Jensen, L., Eicker, A., Stacke, T., Dobslaw, H. (2020): Predictive skill assessment for land water storage in CMIP5 decadal hindcasts by a global reconstruction of GRACE satellite data. - Journal of Climate, 1-40.
DOI: 10.1016/j.asr.2020.05.047,
König, R., Reinhold, A., Dobslaw, H., Esselborn, S., Neumayer, K., Dill, R., Michalak, A. (2020): On the effect of non-tidal atmospheric and oceanic loading on the orbits of the altimetry satellites ENVISAT, Jason-1 and Jason-2. - Advances in Space Research.
DOI: 10.1029/2020GL088306,
Landerer, F. W., Flechtner, F., Save, H., Webb, F. H., Bandikova, T., Bertiger, W. I., Bettadpur, S. V., Byun, S., Dahle, C., Dobslaw, H., Fahnestock, E., Harvey, N., Kang, Z., Kruizinga, G. L. H., Loomis, B. D., McCullough, C., Murböck, M., Nagel, P., Paik, M., Pie, N., Poole, S., Strekalov, D., Tamisiea, M. E., Wang, F., Watkins, M. M., Wen, H., Wiese, D. N., Yuan, D. (2020): Extending the global mass change data record: GRACE Follow-On instrument and science data performance. - Geophysical Research Letters, 47, 12, e2020GL088306.
DOI: 10.1007/s00190-019-01298-y,
Männel, B., Dobslaw, H., Dill, R., Glaser, S., Balidakis, K., Thomas, M., Schuh, H. (2019): Correcting surface loading at the observation level: impact on global GNSS and VLBI station networks. - Journal of Geodesy, 10.1007/s00190-019-01298-y.
DOI: 10.1093/gji/ggz439,
Poropat, L., Kvas, A., Mayer-Gürr, T., Dobslaw, H. (2019): Mitigating Temporal Aliasing Effects of High-Frequency Geophysical Fluid Dynamics in Satellite Gravimetry. - Geophysical Journal International, 10.1093/gji/ggz439.
Ron, C., Vondrák, J., Dill, R., Chapanov, Y. (2019): Combination of geo-magnetic jerks with updated ESMGFZ effective angular momentum functions for the modelling of polar motion excitation. - Acta Geodynamica et Geomaterialia, 16, 4, pp. 359-363.
DOI: 10.3390/rs12060930,
Śliwińska, J., Nastula, J., Dobslaw, H., Dill, R. (2020): Evaluating Gravimetric Polar Motion Excitation Estimates from the RL06 GRACE Monthly-Mean Gravity Field Models. - Remote Sensing, 12, 6, 930.
Tapley, B. D., Watkins, M. M., Flechtner, F., Reigber, C., Bettadpur, S., Rodell, M., Sasgen, I., Famiglietti, J. S., Landerer, F. W., Chambers, D. P., Reager, J. T., Gardner, A. S., Save, H., Ivins, E. R., Swenson, S. C., Boening, C., Dahle, C., Wiese, D. N., Dobslaw, H., Tamisiea, M. E., Velicogna, I. (2019): Contributions of GRACE to understanding climate change. - Nature Climate Change, 9, pp. 358-369.
Wang, L., Khan, S. A., Bevis, M., Broeke, M. R., Kaban, M. K., Thomas, M., Chen, C. (2019a): Downscaling GRACE Predictions of the Crustal Response to the Present‐Day Mass Changes in Greenland. - Journal of Geophysical Research, 124, 5, pp. 5134-5152.
Wang, L., Kaban, M. K., Thomas, M., Chen, C., Ma, X. (2019b): The Challenge of Spatial Resolutions for GRACE-Based Estimates Volume Changes of Larger Man-Made Lake: The Case of China’s Three Gorges Reservoir in the Yangtze River. - Remote Sensing, 11, 1, 99.
DOI: 10.1007/s13137-020-00160-0,
Boergens, E., Dobslaw, H., Dill, R., Thomas, M., Dahle, C., Flechtner, F. (2020): Modelling spatial covariances for terrestrial water storage variations verified with synthetic GRACE-FO data. - GEM - International Journal on Geomathematics, 11, 24.
DOI: 10.1029/2020GL087285,
Boergens, E., Güntner, A., Dobslaw, H., Dahle, C. (2020): Quantifying the Central European Droughts in 2018 and 2019 with GRACE Follow-On. - Geophysical Research Letters, 47, 14, e2020GL087285.
DOI: 10.12902/zfv-0316-2020,
Boergens, E., Dahle, C., Dobslaw, H., Sasgen, I., Reißland, S., Flechtner, F. (2020): Globale Massenverteilungen aus Satellitengravimetrie: Das interaktive Datenportal GravIS. - ZfV: Zeitschrift für Geodäsie, Geoinformation und Landmanagement, 145, 5.
DOI: 10.1029/2020JB020025,
Dill, R., Dobslaw, H., Hellmers, H., Kehm, A., Bloßfeld, M., Thomas, M., Seitz, F., Thaller, D., Hugentobler, U., Schönemann, E. (2020): Evaluating Processing Choices for the Geodetic Estimation of Earth Orientation Parameters with Numerical Models of Global Geophysical Fluids. - Journal of Geophysical Research: Solid Earth, 125, 9, e2020JB020025.
DOI: 10.1029/2020JB020923,
Dobslaw, H., Dill, R., Bagge, M., Klemann, V., Boergens, E., Thomas, M., Dahle, C., Flechtner, F. (2020): Gravitationally Consistent Mean Barystatic Sea‐Level Rise From Leakage‐Corrected Monthly GRACE Data. - Journal of Geophysical Research: Solid Earth, 125, 11.
DOI: 10.1038/s41598-020-61166-0,
Eicker, A., Jensen, L., Wöhnke, V., Dobslaw, H., Kvas, A., Mayer-Gürr, T., Dill, R. (2020): Daily GRACE satellite data evaluate short-term hydro-meteorological fluxes from global atmospheric reanalyses. - Scientific Reports, 10, 4504.
DOI: 10.1029/2020GL089258,
Irrgang, C., Dill, R., Boergens, E., Saynisch-Wagner, J., Thomas, M. (2020): Self-validating deep learning for recovering terrestrial water storage from gravity and altimetry measurements. - Geophysical Research Letters, 47, 17, e2020GL089258. https://doi.org/10.1029/2020GL089258
DOI: 10.1175/JCLI-D-20-0042.1,
Jensen, L., Eicker, A., Stacke, T., Dobslaw, H. (2020): Predictive skill assessment for land water storage in CMIP5 decadal hindcasts by a global reconstruction of GRACE satellite data. - Journal of Climate, 1-40.
DOI: 10.3390/rs12233898,
Jensen, L., Eicker, A., Dobslaw, H., Pail, R. (2020): Emerging Changes in Terrestrial Water Storage Variability as a Target for Future Satellite Gravity Missions. - Remote Sensing, 12, 23, 3898.
DOI: 10.1007/s10291-021-01135-w,
Klos, A., Dobslaw, H., Dill, R., Bogusz, J. (2021): Identifying the sensitivity of GPS to non-tidal loadings at various time resolutions: examining vertical displacements from continental Eurasia. - GPS Solutions, 25, 89.
DOI: 10.1016/j.asr.2020.05.047,
König, R., Reinhold, A., Dobslaw, H., Esselborn, S., Neumayer, K., Dill, R., Michalak, A. (2020): On the effect of non-tidal atmospheric and oceanic loading on the orbits of the altimetry satellites ENVISAT, Jason-1 and Jason-2. - Advances in Space Research.
DOI: 10.1029/2020JC017031,
Schindelegger, M., Harker, A. A., Ponte, R. M., Dobslaw, H., Salstein, D. A. (2021): Convergence of daily GRACE solutions and models of sub‐monthly ocean bottom pressure variability. - Journal of Geophysical Research: Oceans, 126, 2, e2020JC017031
DOI: 10.3390/rs12060930,
Śliwińska, J., Nastula, J., Dobslaw, H., Dill, R. (2020): Evaluating Gravimetric Polar Motion Excitation Estimates from the RL06 GRACE Monthly-Mean Gravity Field Models. - Remote Sensing, 12, 6, 930.
DOI: 10.1029/2020JC017097,
Sulzbach, R., Dobslaw, H., Thomas, M. (2021): High-Resolution Numerical Modelling of Barotropic Global Ocean Tides for Satellite Gravimetry. - Journal of Geophysical Research: Oceans, 126, 5, e2020JC017097
DOI: 10.3390/s22072740,
Raut, S., Heinkelmann, R., Modiri, S., Belda, S., Balidakis, K., Schuh, H. (2022): Inter-Comparison of UT1-UTC from 24-Hour, Intensives, and VGOS Sessions during CONT17. - Sensors, 22, 7, 2740
DOI: 10.1093/gji/ggab421,
Abrykosov, P., Sulzbach, R., Pail, R., Dobslaw, H., Thomas, M. (2022): Treatment of ocean tide background model errors in the context of GRACE/GRACE-FO data processing. - Geophysical Journal International, 228, 3, 1850-1865.
DOI: doi.org/10.1029/2022MS003193,
Balidakis, K., Sulzbach, R., Shihora, L., Dahle, C., Dill, R., Dobslaw, H. (2022): Atmospheric Contributions to Global Ocean Tides for Satellite Gravimetry, J. Adv. Mod. Earth Sys.
DOI: 10.1029/2021JB022081,
Boergens, E., Kvas, A., Eicker, A., Dobslaw, H., Schawohl, L., Dahle, C., Murböck, M., Flechtner, F. (2022): Uncertainties of GRACE‐Based Terrestrial Water Storage Anomalies for Arbitrary Averaging Regions. Journal of Geophysical Research: Solid Earth, 127, 2, e2021JB022081
DOI: 10.1029/2021EA002070,
Dill, R., Saynisch-Wagner, J., Irrgang, C., Thomas, M. (2021): Improving atmospheric angular momentum forecasts by machine learning. - Earth and Space Science, 8, 12, e2021EA002070
DOI: 10.1029/2021JB022983,
Ghobadi‐Far, K., Han, S., McCullough, C. M., Wiese, D. N., Ray, R. D., Sauber, J., Shihora, L., Dobslaw, H. (2022): Along‐orbit analysis of GRACE Follow‐On inter‐satellite laser ranging measurements for sub‐monthly surface mass variations. - Journal of Geophysical Research: Solid Earth, 127, 2, e2021JB022983
Huang, P., Sulzbach, R., Tanaka, Y., Klemann, V., Dobslaw, H., Martinec, Z., Thomas, M. (2021): Anelasticity and lateral heterogeneities in Earth's upper mantle: impact on surface displacements, self‐attraction and loading and ocean tide dynamics. - Journal of Geophysical Research: Solid Earth, 126, 9, e2021JB022332
DOI: 10.1007/s10291-021-01135-w,
Klos, A., Dobslaw, H., Dill, R., Bogusz, J. (2021): Identifying the sensitivity of GPS to non-tidal loadings at various time resolutions: examining vertical displacements from continental Eurasia. - GPS Solutions, 25, 89.
DOI: 10.1016/j.asr.2020.05.047,
König, R., Reinhold, A., Dobslaw, H., Esselborn, S., Neumayer, K., Dill, R., Michalak, A. (2020): On the effect of non-tidal atmospheric and oceanic loading on the orbits of the altimetry satellites ENVISAT, Jason-1 and Jason-2. - Advances in Space Research.
DOI: 10.1029/2020JC017031,
Schindelegger, M., Harker, A. A., Ponte, R. M., Dobslaw, H., Salstein, D. A. (2021): Convergence of daily GRACE solutions and models of sub‐monthly ocean bottom pressure variability. - Journal of Geophysical Research: Oceans, 126, 2, e2020JC017031
DOI: 10.1029/2022JB024360,
Shihora, L., Dahle, C., Balidakis, K., Dobslaw, H., Dill, R. (2022): Non-Tidal Background Modelling for Satellite Gravimetry based on operational ECWMF and ERA5 Reanalysis Data: AOD1B RL07. - Journal of Geophysical Research: Solid Earth, 127, 8, e2022JB024360
DOI: 10.1016/j.ocemod.2021.101914,
Shihora, L., Sulzbach, R., Dobslaw, H., Thomas, M. (2022): Self-attraction and loading feedback on ocean dynamics in both shallow water equations and primitive equations. - Ocean Modelling, 169, 101914
DOI: 10.1007/s00190-022-01609-w,
Sulzbach, R., Wziontek, H., Hart-Davis, M., Dobslaw, H., Scherneck, H.-G., Van Camp, M., Dahl Omang, O. C., Antokoletz, E. D., Voigt, C., Dettmering, D., Thomas, M. (2022): Modeling gravimetric signatures of third-degree ocean tides and their detection in superconducting gravimeter records. - Journal of Geodesy, 96, 35
DOI: 10.1029/2020JC017097,
Sulzbach, R., Dobslaw, H., Thomas, M. (2021): High-Resolution Numerical Modelling of Barotropic Global Ocean Tides for Satellite Gravimetry. - Journal of Geophysical Research: Oceans, 126, 5, e2020JC017097
DOI: 10.1093/gji/ggab421,
Abrykosov, P., Sulzbach, R., Pail, R., Dobslaw, H., Thomas, M. (2022): Treatment of ocean tide background model errors in the context of GRACE/GRACE-FO data processing. - Geophysical Journal International, 228, 3, 1850-1865.
Balidakis, K., Sulzbach, R., Shihora, L., Dahle, C., Dill, R., Dobslaw, H. (2022): Atmospheric Contributions to Global Ocean Tides for Satellite Gravimetry, J. Adv. Mod. Earth Sys., https://doi.org/10.1029/2022MS003193.
DOI: 10.1029/2021JB022081,
Boergens, E., Kvas, A., Eicker, A., Dobslaw, H., Schawohl, L., Dahle, C., Murböck, M., Flechtner, F. (2022): Uncertainties of GRACE‐Based Terrestrial Water Storage Anomalies for Arbitrary Averaging Regions. Journal of Geophysical Research: Solid Earth, 127, 2, e2021JB022081
Börger, L., Schindelegger, M., Dobslaw, H., Salstein, D. (2023): Are Ocean Reanalyses Useful for Earth Rotation Research? - Earth and Space Science, 10, 3, e2022EA002700. https://doi.org/10.1029/2022EA002700
Dill, R., Dobslaw, H., Thomas, M. (2022): ESMGFZ Products for Earth Rotation Prediction. - Artificial Satellites, 57, 254-261. https://doi.org/10.2478/arsa-2022-0022
DOI: 10.1029/2021JB022983,
Ghobadi‐Far, K., Han, S., McCullough, C. M., Wiese, D. N., Ray, R. D., Sauber, J., Shihora, L., Dobslaw, H. (2022): Along‐orbit analysis of GRACE Follow‐On inter‐satellite laser ranging measurements for sub‐monthly surface mass variations. - Journal of Geophysical Research: Solid Earth, 127, 2, e2021JB022983
Huang, P., Sulzbach, R., Klemann, V., Tanaka, Y., Dobslaw, H., Martinec, Z., Thomas, M. (2022): The Influence of Sediments, Lithosphere and Upper Mantle (Anelastic) With Lateral Heterogeneity on Ocean Tide Loading and Ocean Tide Dynamics. - Journal of Geophysical Research: Solid Earth, 127, 11, e2022JB025200. https://doi.org/10.1029/2022JB025200
Kehm, A., Hellmers, H., Bloßfeld, M., Dill, R., Angermann, D., Seitz, F., Hugentobler, U., Dobslaw, H., Thomas, M., Thaller, D., Böhm, J., Schönemann, E., Mayer, V., Springer, T., Otten, M., Bruni, S., Enderle, W. (2023): Combination strategy for consistent final, rapid and predicted Earth rotation parameters. - Journal of Geodesy, 97, 3. https://doi.org/10.1007/s00190-022-01695-w
Kur, T., Dobslaw, H., Śliwińska, J., Nastula, J., Wińska, M., Partyka, A. (2022): Evaluation of selected short-term predictions of UT1-UTC and LOD collected in the second earth orientation parameters prediction comparison campaign. - Earth Planets and Space, 74, 191. https://doi.org/10.1186/s40623-022-01753-9
Raut, S., Heinkelmann, R., Modiri, S., Belda, S., Balidakis, K., Schuh, H. (2022): Inter-Comparison of UT1-UTC from 24-Hour, Intensives, and VGOS Sessions during CONT17. - Sensors, 22, 7, 2740. doi: 10.3390/s22072740
Shihora, L., Dahle, C., Balidakis, K., Dobslaw, H., Dill, R. (2022): Non-Tidal Background Modelling for Satellite Gravimetry based on operational ECWMF and ERA5 Reanalysis Data: AOD1B RL07. - Journal of Geophysical Research: Solid Earth, 127, 8, e2022JB024360. doi: 10.1029/2022JB024360
Shihora, L., Sulzbach, R., Dobslaw, H., Thomas, M. (2022): Self-attraction and loading feedback on ocean dynamics in both shallow water equations and primitive equations. - Ocean Modelling, 169, 101914. doi: 10.1016/j.ocemod.2021.101914
Shihora, L., Balidakis, K., Dill, R., Dobslaw, H. (2023): Assessing the stability of AOD1B atmosphere-ocean non-tidal background modelling for climate applications of satellite gravity data: long-term trends and 3-hourly tendencies. - Geophysical Journal International, 243, 2, 1063-1072. https://doi.org/10.1093/gji/ggad119
Śliwińska, J., Kur, T., Wińska, M., Nastula, J., Dobslaw, H., Partyka, A. (2022): Second Earth Orientation Parameters Prediction Comparison Campaign (2nd EOP PCC): Overview. - Artificial Satellites, 57, 237-253. https://doi.org/10.2478/arsa-2022-0021
Sulzbach, R., Wziontek, H., Hart-Davis, M., Dobslaw, H., Scherneck, H.-G., Van Camp, M., Dahl Omang, O. C., Antokoletz, E. D., Voigt, C., Dettmering, D., Thomas, M. (2022): Modeling gravimetric signatures of third-degree ocean tides and their detection in superconducting gravimeter records. - Journal of Geodesy, 96, 35. doi: 10.1007/s00190-022-01609-w
Sulzbach, R., Klemann, V., Knorr, G., Dobslaw, H., Dümpelmann, H., Lohmann, G., Thomas, M. (2023): Evolution of Global Ocean Tide Levels Since the Last Glacial Maximum. - Paleoceanography and Paleoclimatology, 38, 5, e2022PA004556. https://doi.org/10.1029/2022PA004556
Voigt, C., Sulzbach, R., Timmen, L., Dobslaw, H., Weise, A., Deng, Z., Stolarczuk, N., Pflug, H., Peters, H., Fietz, M., Thomas, M., Förste, C., Flechtner, F. (2023): A superconducting gravimeter on the island of Heligoland for the high-accuracy determination of regional ocean tide loading signals of the North Sea. - Geophysical Journal International, 234, 3, 1585-1602. https://doi.org/10.1093/gji/ggad147
474: Laptev-See
Gutjahr, O., Heinemann, G., Preußer, A., Willmes, S., Drüe, C., 2016: Quantification of ice production in Laptev Sea polynyas and its sensitivity to thin-ice parameterizations in a regional climate model. The Cryosphere Discuss., doi: 10.5194/tc-2016-83.
Bauer, M., D. Schröder, G. Heinemann, S. Willmes, L. Ebner, 2013: Quantifying polynya ice production in the Laptev Sea with the COSMO model. Polar Research 32, 20922, http://dx.doi.org/10.3402/polar.v32i0.20922
Schröder, D., G. Heinemann, and S. Willmes, 2011: Implementation of a thermodynamic sea ice module in the NWP model COSMO and its impact on simulations for the Laptev Sea area in the Siberian Arctic. Polar Research 30, 6334.
Ebner, L., D. Schröder and G. Heinemann, 2011: Impact of Laptev Sea flaw polynyas on the atmospheric boundary layer and ice production using idealized mesoscale simulations. Polar Research 30, 7210.
Gutjahr, O., Heinemann, G., Preußer, A., Willmes, S., Drüe, C., 2016: Quantification of ice production in Laptev Sea polynyas and its sensitivity to thin-ice parameterizations in a regional climate model. The Cryosphere 10, 2999-3019, doi:10.5194/tc-10-2999-2016. Janout, M., Hölemann, J., Timokhov, L., Gutjahr, O., Heinemann, G., 2017: Circulation in Vilkitsky Trough in the eastern Arctic Ocean: Crossroads between Siberian river water, Atlantic water and polynya-formed dense water. J. Geophys. Res. Oceans 122, doi:10.1002/2017JC013159. Kohnemann, S., Heinemann, Bromwich, D., Gutjahr, O., 2017: Extreme Warming in the Kara Sea and Barents Sea during the winter period 2000 to 2016. J. of Climate 30, 8913-8927, doi.org/10.1175/JCLI-D-16-0693.
Akperov, M., Rinke, A., Mokhov, I., Matthes, H., Semenov, V., Adakudlu, M., Cassano, J., Christensen, J., Dembitskaya, M., Dethloff, K., Fettweis, X., Glisan, J., Gutjahr, O., Heinemann, G., Koenigk, T., Koldunov, N., Laprise, R., Mottram, R., Nikiéma, O., Scinocca, J., Sein, D., Sobolowski, S., Winger, K., Zhang, W., 2018: Cyclone activity in the Arctic from an ensemble of regional climate models (Arctic CORDEX). J. Geophys. Res. Atmospheres 123, 2537-2554, DOI: 10.1002/2017JD027703.
Gutjahr, O., Heinemann, G., 2018: A model-based comparison of extreme winds in the Arctic and around Greenland. International Journal of Climatology, DOI: 10.1002/joc.5729, published online 10 August 2018.
DOI: 10.1088/1755-1315/231/1/012003,
Akperov, M., Rinke, A., Mokhov, I., Matthes, H., Semenov, V., Adakudlu, M., Cassano, J., Christensen, J., Dembitskaya, M., Dethloff, K., Fettweis, X., Glisan, J., Gutjahr, O., Heinemann, G., Koenigk, T., Koldunov, N., Laprise, R., Mottram, R., Nikiéma, O., Parfenova, M., Scinocca, J., Sein, D., Sobolowski, S., Winger, K., Zhang, W., 2019: Trends of intense cyclone activity in the Arctic from reanalyses data and regional climate models (Arctic CORDEX). IOP Conference Series: Earth and Environmental Science 231, 1-10
DOI: doi.org/10.1029/2019JD031783,
Sedlar, J., Tjernström, M., Rinke, A., Orr, A., Cassano, J., Fettweis, X., Heinemann, G., Seefeldt, M., Solomon, A., Matthes, H., Phillips, T., Webster, S., 2020: Confronting Arctic troposphere, clouds, and surface energy budget representations in regional climate models with observations. J. Geophys. Res. 124
DOI: doi:10.3390/atmos11060571,
Heinemann, G., 2020: Assessment of regional climate model simulations of the katabatic boundary layer structure over Greenland. Atmosphere 11, 571
DOI: 10.3390/atmos12020174,
Heinemann, G., Willmes, S., Schefczyk, L., Makshtas, A., Kustov V., Makhotina, I., 2021: Observations and simulations of meteorological conditions over Arctic thick sea ice in late winter during the Transarktika 2019 expedition. Atmosphere 12(2), 174, doi: 10.3390/atmos12020174.
DOI: 10.33265/polar.v40.3622,
Kohnemann, S., Heinemann, G., 2021: A Climatology of wintertime low-level jets in Nares Strait. Polar Research, 40, 3622, doi: 10.33265/polar.v40.3622.
DOI: 10.1029/2020JD033904,
Inoue, J., Sato, K., Rinke, A., Cassano, J., Fettweis, X., Heinemann, G., Matthes, H., Orr, A., Phillips, T., Seefeldt, M., Solomon, A., Webster, S., 2020: Evaluation of clouds and radiation processes in regional climate models with observations over the ice-free Arctic ocean. J. Geophys. Res. 126, e2020JD033904, doi: 10.1029/2020JD033904.
DOI: 10.1525/elementa.2022.00033,
Heinemann, G., Schefczyk, L., Willmes, S., Shupe, M., 2022: Evaluation of simulations of near-surface variables using the regional climate model CCLM for the MOSAiC winter period. Elem. Sci. Anth., 10 (1). DOI: 10.1525/elementa.2022.00033.
DOI: 10.3390/atmos13060957,
Heinemann, G., Drüe, C., Makshtas, A., 2022: A three-years climatology of the wind field structure at Cape Baranova (Severnaya Zemlya, Siberia) from SODAR observations and high-resolution regional climate model simulations during YOPP. Atmosphere 13, 957, doi: 10.3390/atmos13060957.
DOI: 10.3390/meteorology2020016,
Heinemann, G., Schefczyk, L., Zentek, R., Brooks, I., Dahlke, S., Walbröl, A., 2023: Evaluation of vertical profiles and atmospheric boundary layer structure using the regional climate model CCLM during MOSAiC. Meteorology 2, 257–275
DOI: 10.5194/tc-17-3291-2023,
Willmes, S., Heinemann, G., Schnaase, F., 2023: Patterns of wintertime Arctic sea ice leads and their relation to winds and ocean currents. The Cryosphere 17, 3291–3308
460: HOBIMED
Grimm, R., Maier-Reimer, E., Mikolajewicz, U., Schmiedl, G., Müller-Navarra, K., Adloff, F., Grant, K. M., Ziegler, M., Lourens, L. J., & Emeis, K. (2015). Late glacial initiation of Holocene eastern Mediterranean sapropel formation. Nature Communications, 6: 7099. doi:10.1038/ncomms8099
Schmiedl, G., Adloff, F., Emeis, K., Grimm, R., Kucera, M., Maier-Reimer, E., Mikolajewicz, U., Möbius, J., & Müller-Navarra, K. (2015). Holocene climate dynamics, biogeochemical cycles and ecosystem variability in the Eastern Mediterranean Sea. In M. Schulz, & A. Paul (Eds.), Integrated Analysis of Interglacial Climate Dynamics (INTERDYNAMIC) (pp. 115-120). Springer International Publishing.doi:10.1007/978-3-319-00693-2_19
Adloff, F., U. Mikolajewicz, M. Kucera, R. Grimm, E. Maier-Reimer, G. Schmiedl and K. Emeis (2011). Upper ocean climate of the Eastern Mediterranean Sea during the Holocene Insolation Maximum - a model study. Climate of the Past, 7, 1103-1122, 2011, doi:10.5194/cp-7-1103-2011
Adloff, F., (2011): Early Holocene Eastern Mediterranean ocean climate and the stability of its overturning circulation, PhD thesis, University of Hamburg, Max Planck Institute for Meteorology
Grimm, R. (2012): Simulating the early Holocene eastern Mediterranean sapropel formation using an ocean biogeochemical model, PhD thesis, University of Hamburg, Max Planck Institute for Meteorology
Mikolajewicz, U. (2011). Modeling Mediterranean ocean climate of the Last Glacial Maximum. Climate of the Past 7, 161-180, doi:10.5194/cp-7-161-2011.
Upper ocean climate of the Eastern Mediterranean Sea during the Holocene Insolation Maximum – a model study F. Adloff, U. Mikolajewicz, M. Kučera, R. Grimm, E. Maier-Reimer, G. Schmiedl, and K.-C. Emeis Clim. Past, 7, 1103-1122, 2011
U. Mikolajewicz (2010). Modeling Mediterranean ocean climate of the Last Glacial Maximum. Climate of the Past Discussion, 6, 2005–2054, 2010,doi:10.5194/cpd-6-2005-2010.
457: Evaluation of Eemian and Holocene Climate Variability: Synthesis of marine archives with climate modelling
Fischer, N., and J. Jungclaus: Effects of orbital forcing on atmosphere and ocean heat transports in Holocene and Eemian climate simulations with a comprehensive Earth system model , submitted to Climate off the Past
456: Regional Climate Modelling in South-Asia
Analysis of the Indian summer monsoon system in the regional climate model COSMO‐CLM; JOURNAL OF GEOPHYSICAL RESEARCH, VOL. 115, D16101, doi:10.1029/2009JD013497, 2010
Regional climate projections in two alpine river basins: Upper Danube and Upper Brahmaputra; Adv. Sci. Res., 1, 1–10, 2011;doi:10.5194/asr-1-1-2011
Dobler, A. and B. Ahrens, 2008: Precipitation by a regional climate model and bias correction in Europe and South Asia. Meteorol. Z., 17(4), 499-509.
454: STORM: High-resolution community climate change simulations
von Storch et al. 2012, JPO
Adamidis, P., I.Fast, and T.Ludwig, 2011: Performance Characteristics of Global High-Resolution Ocean (MPIOM) and Atmosphere (ECHAM6) Models on Large-Scale Multicore Cluster. PaCT 2011 Proceedings, LNCS (6873), pp. 390–403, DOI: 10.1007/978-3-642-23178-0
von Storch et al. 2012: An estimate of Lorenz energy cycle for the world ocean based on the 1/10 degree STORM/NCEP simulation, JPO
450: Bestimmung von Klima-Schlüsselprozessen der nordatlantischen Zirkulation durch Datensynthesen
1. Köhl A. (2010), Variable Source Regions of Denmark Strait and Faroe Bank Channel Overflow Waters, Tellus, 62A, 551-568, DOI: 10.1111/j.1600-0870.2010.00454.x.
1. Serra N., R. H. Käse, A. Köhl, D. Stammer, and D. Quadfasel (2010), On the low-frequency phase relation between the Denmark Strait and the Faroe-Bank Channel overflows, Tellus, 62A, 530-550, DOI: 10.1111/j.1600-0870.2010.00445.x.
Köhl A., F. Siegismund and D. Stammer (2010), Impact of Assimilating Bottom Pressure Information from GRACE on Ocean Circulation Estimates, submitted to J. Geophys. Res.
F. Siegismund, A. Köhl and D. Stammer (2010) , Ocean Bottom Pressure Variations Estimated from gravity, non-steric sea surface height and hydrodynamic model simulations, submitted to J. Geophys. Res.
Brath M., M. G. Scharffenberg, N. Serra and D. Stammer (2010), Altimeter-Based Estimates of Eddy Variability and Eddy Transports in the Subpolar North Atlantic,MARINE GEODESY,33, 472-503,DOI: 10.1080/01490419.2010.488921
Avellaneda N. M., N. Serra, P. J. Minnett and D. Stammer (2010), Response of the eastern subtropical Atlantic SST to Saharan dust: A modeling and observational study, J. Geophys. Res., 115, C08015, DOI: 10.1029/2009JC005692
447: DAROTA
taguchi.pdf
391: Vorhersagbarkeit in Ozean und Meereis
. Koenigk, U. Mikolajewicz, H. Haak and J. Jungclaus (2006). Variability of Fram Strait sea ice export: Causes, impacts and feedbacks in a coupled climate model. Climate Dynamics 26(1)17-34, DOI 10.1007/s00382-005-0060-1
Koenigk, T., U. Mikolajewicz, H. Haak, and J. H. Jungclaus (2007), Arctic freshwater export in the 20th and 21st centuries, J. Geophys. Res. Biogeosciences, 112, G04S41, doi:10.1029/2006JG000274
T. Koenigk, U. Mikolajewicz, H. Haak, and J. Jungclaus (2008) Modelling the Sea Ice Export Through Fram Strait. In: R.R. Dickson, J. Meincke and P. Rhines (eds.), Arctic-Subarctic Ocean Fluxes: Defining the Role of the Northern Seas in Climate.© Springer
Koenigk, T. and U. Mikolajewicz (2009). Seasonal to interannual climate predictability in mid and high northern latitudes in a global coupled model, Climate Dynamics, 32:783–79832:783–798, DOI 10.1007/s00382-008-0419-1
Koenigk, T., U Mikolajewicz, J. H. Jungclaus, A. Kroll (2009). Sea ice in the Barents Sea: seasonal to interannual variability and climate feedbacks in a global coupled model. Climate Dynamics, 32, 1119-1138, DOI 10.1007/s00382-008-0450-2
Koenigk, T., U. Mikolajewicz, 2007: Seasonal to interannual predictability of high northern latitude climate. In: WGNE Blue Book 2007, section 6. Editor: J. Cote. http://collaboration.cmc.ec.gc.ca/science/BlueBook/index.html
Koenigk et al. 2009
387: MILLENNIUM
Pongratz, J., C. H. Reick, T. Raddatz, and M. Claussen (2009): Effects of anthropogenic land cover change on the carbon cycle of the last millennium. Global Biogeochem. Cycles, doi:10.1029/2009GB003488, in press.
Jungclaus, J.H. and co-authors, 2010: Climate and carbon-cycle variability over the last millennium. Climate of the Past, 6, 723-737.
380: Anthropogene Aenderungen im Nordatlantik
Gröger, M. and U. Mikolajewicz (2011). Note on the CO2 air-sea gas exchange at high temperatures. Ocean Modelling, 39, 3-4, 284-290 DOI: 10.1016/j.ocemod.2011.05.003.
Olbert, A. I., M. Hartnett, T. Dabrowski, and U. Mikolajewicz (2011) Long-term Interannual variability of a cyclonic gyre in the western Irish Sea. Continental Shelf Research, 31, 13, 1343-1356 DOI: 10.1016/j.csr.2011.05.010
noch nicht
377: Regionale Klimaänderungen im äquatorialen Ostafrika während der letzten 10 Millionen Jahre
Prömmel, K., U. Cubasch, F. Kaspar (2012): Regional climate model study on the impact of tectonic and orbital forcing on African precipitation and vegetation. Palaeogeography, Palaeoclimatology, Palaeoecology, doi: 10.1016/j.palaeo.2012.10.015
Kaspar, F., K. Prömmel, U. Cubasch (2009): Impacts of tectonic and orbital forcing on East African climate: A comparison based on global climate model simulations. International Journal of Earth Sciences, submitted
Kaspar, F., U. Cubasch (2008): Simulation of East African precipitation patterns with the regional climate model CLM. Meteorologische Zeitschrift 17, 511-517, doi: 10.1127/0941-2948/2008/0299
Kaspar, F., U. Cubasch (2008): Modelling regional climate change in Eastern Africa on orbital and tectonic time scales. WGNE Blue Book, chapter 7, 7.13-7.14
Kühl, N., C. Gebhardt, F. Kaspar, A. Hense, T. Litt (2008): Reconstruction of Quaternary temperature fields and model data intercomparison, PAGES News, Vol.16, No. 2
Kaspar, F., U. Cubasch (2007): Simulation of the Eemian interglacial and possible mechanisms for the glacial inception. In: J. Harff, B. Hay, D. Tetzlaff (eds.): Coastline changes: Interrelation of climate and geological processes. Special Paper 426, Chap
Kaspar, F., U. Cubasch (2007): Das Klima am Ende einer Warmzeit. In: Der belebte Planet 2. Sonderheft der Berliner Geowissenschaftlichen Abhandlungen, Fachbereich Geowissenschaften, Freie Universität Berlin, 2007.
Kaspar, F., T. Spangehl, U. Cubasch (2007): Northern hemispheric winter storm tracks of the Eemian interglacial and the last glacial inception. Climate of the Past 3, 181-192
Berger, A., M.-F. Loutre, F. Kaspar, S. J. Lorenz (2007): Insolation during interglacials. In: F. Sirocko, T. Litt, M. Claussen, M.F. Sánchez-Goñi (eds.): The climate of past interglacials. Developments in Quaternary Sciences, Volume 7, Chapter 4, pp. 13-
Kaspar, F., U. Cubasch (2007): Simulations of the Eemian interglacial and the subsequent glacial inception with a coupled ocean-atmosphere general circulation model. In: F. Sirocko, T. Litt, M. Claussen, M.F. Sánchez-Goñi (eds.): The climate of past inter
Sirocko, F., M. et al. (2007): Chronology and climate forcing of the last four interglacials. In: F. Sirocko, T. Litt, M. Claussen, M.F. Sánchez-Goñi (eds.): The climate of past interglacials. Developments in Quaternary Sciences, Volume 7, Chapter 40, pp.
375: Water and Climate Change
# Saeed, F., S. Hagemann and D. Jacob, 2009 Impact of irrigation on the South Asian Summer Monsoon. Geophys. Res. Letters, doi:10.1029/2009GL040625, in press.
374: Evaluierung neuer Modellversionen des CLM
Georgievski et al., 2010: Evaluation of Central European and Eastern Alpine seasonal climate simulated with CCLM: double nesting vs. direct forcing techniques. COSMO Newsletter (in prep.)
Publikation zur CCLM Evaluierung in Vorbereitung
DOI: 10.5194/gmd-14-985-2021,
Trang et al, 2021: ICON in Climate Limited-area Mode (ICON release version 2.6.1): a new regional climate model. Geosci. Model Dev., 14, 985–1005, 2021
371: Initialisierung eines globalen Klimamodells aus ozeanischen Reanalysen
H. R. Langehaug, D. Matei, T. Eldevik, K. Lohmann, Y. Gao: Predictability of sea surface temperature and sea ice in the Nordic Seas. In revision for Climate Dynamics.
Matei, D., H. Pohlmann, J.H. Jungclaus, W. Müller, H. Haak, and J. Marotzke, 2012: Two tales of initializing decadal climate prediction experiments with the ECHAM5/MPIOM model. Journal of Climate, 25, 8502-8523, doi:10.1175/JCLI-D-00633.1.
Matei, D., H. Pohlmann, J. Jungclaus, W. Müller, H. Haak, and J. Marotzke, 2012a : Two tales of initializing decadal climate predictions experiments with the ECHAM5/MPI-OM model. Journal of Climate, doi:10.1175/JCLI-D-11-00633.1.
Matei, D., J. Baehr, J. Jungclaus, H. Haak, W. Müller, J. Marotzke, 2012b: Multiyear Prediction of the Monthly Mean Atlantic Meridional Overturning Circulation at 26.5º N. Science, 335, 76-79.
Smith, D., A. Scaife, G. Boer, M. Caian, F. Doblas-Reyes, V. Guemas, E. Hawkins, W. Hazeleger, L. Hermanson, C. K. Ho, M. Ishii, V. Kharin, M. Kimoto, B. Kirtman, J. Lean, D. Matei, W. Merryfield, W. Müller, H. Pohlmann, A. Rosati, B. Wouters, and K. Wyser, 2012: Real-time multi-model decadal climate predictions. Climate Dynamics (revised)
Pohlmann, H. et al., 2009: Initializing decadal climate predictions with the GECCO Oceanic Synthesis: Effects on the North Atlantic. J. Climate, 22, 3926-3938
Pohlmann, H., J.H. Jungclaus, A. Köhl, D. Stammer, and J. Marotzke, 2009: Improving decadal climate predictability through the initialization of a coupled model with the GECCO oceanic synthesis. Journal of Climate (in press).
Langehaug, HR, Matei,D,Eldevik, T, Lohmann, K, and Gao, Y (2016): On model differences and skill in predicting sea surface temperature in the Nordic and Barents Seas. Clim. Dyn.,1-21, doi:10.1007/s00382-‐016-‐ 3118-‐3.
DOI: 10.5194/gmd-2018-286.,
Gutjahr, O., D. Putrahasan, K. Lohmann, J.H. Jungclaus, J.-S. von Storch, N. Brüggemann, H. Haak, and Achim Stössel, 2019: Max Planck Institute Earth System Model (MPI-ESM) for High-Resolution Model Intercomparison Project (HighResMIP). Geosci. Model Dev., doi: 10.5194/gmd-2018-286.
DOI: 10.1029/2018MS001400,
Mauritsen, T., et al., incl. J.H. Jungclaus, 2019: Developments in the MPI‐M Earth System Model version 1.2 (MPI‐ESM 1.2) and its response to increasing CO2. Journal of Advances in Modeling Earth Systems, 11, 998-1038, doi: 10.1029/2018MS001400.
362: The cloud-climate feedback: Analysis in the Earth System Model
Weber, T., and J. Quaas, Incorporating the subgrid-scale variability of clouds in the autoconversion parameterization, J. Adv. Model. Earth Syst., 4, M11003, doi:10.1029/2012MS000156, 2012.
Weber, T., J. Quaas, and P. Räisänen, Evaluation of the subgrid-scale variability scheme for water vapor and cloud condensate in the ECHAM5 model using satellite data, Q. J. R. Meteorol. Soc., 137, 2079-2091, doi:10.1002/qj.887, 2011.
Schemann, V., and J. Quaas, Improving the representation of subgrid-scale variability of total water in GCMs., J. Adv. Model. Earth Syst., in revision.
Schemann, V., B. Stevens, V. Grützun, and J. Quaas, Scale dependency of total water variance, and its implication for cloud parameterizations, J. Atmos. Sci., 70, 3615-3630, doi:10.1175/JAS-D-13-09.1, 2013.
Quaas, J., Evaluating the "critical relative humidity" as a measure of subgrid-scale variability of humidity in general circulation model cloud cover parameterizations using satellite data, J. Geophys. Res., 117, D09208, doi:10.1029/2012JD017495, 2012.
Nam, C., J. Quaas, R. Neggers, C. Siegenthaler-Le Drian, and F. Isotta, Evaluation of boundary layer cloud parameterizations in the ECHAM5 general circulation model using CALIPSO and CloudSat satellite data, J. Adv. Model. Earth Syst., 6, 300-314, doi:10.1002/2013MS000277, 2014.
Nam, C., and J. Quaas, Evaluation of clouds and precipitation in the ECHAM5 general circulation model using CALIPSO and CloudSat , J. Clim., 25, 4975-4992, doi:10.1175/JCLI-D-11-00347.1, 2012.
Grützun, V., J. Quaas, Felix Ament, und C. Morcrette, Evaluating statistical cloud schemes - what can we gain from ground based remote sensing?, J. Geophys. Res., in press, 2013.
Schemann, V., B. Stevens, V. Grützun, und J. Quaas, Scale dependency of total water variance, and its implication for cloud parameterizations, J. Atmos. Sci., doi:10.1175/JAS-D-13-09.1, 2013.
Schirber, S., D. Klocke, R. Pincus, J. Quaas, und J. Anderson, Parameter estimation using data assimilation in an atmospheric general circulation model: From a perfect towards the real world, J. Adv. Model. Earth Syst., 1942-2466, doi:10.1029/2012MS000167, 2013.
Gehlot, S. and J. Quaas, Convection-climate feedbacks in ECHAM5 general circulation model: A Lagrangian trajectory perspective of cirrus cloud life cycle, J. Clim., 25, 5241-5259, doi:10.1175/JCLI-D-11-00345.1, 2012.
Cherian, R., C. Venkataraman, S. Ramachandran, J. Quaas, and S. Kedia, Examination of aerosol distributions and radiative effects over the Bay of Bengal and the Arabian Sea region during ICARB using satellite data and a general circulation model, Atmos. C
Nam, C. and J. Quaas, Evaluation of clouds and precipitation in the ECHAM5 general circulation model using CALIPSO and CloudSat, J. Clim., 25, 4975-4992, doi:10.1175/JCLI-D-11-00347.1, 2012.
Peters, K., P. Stier, J. Quaas, and H. Graßl, Aerosol indirect effects from shipping emissions: Sensitivity studies with the global aerosol-climate model ECHAM-HAM, Atmos. Chem. Phys., 12, 5985-6007, doi:10.5194/acp-12-5985-2012, 2012.
Quaas, J., Evaluating the "critical relative humidity" as a measure of subgrid-scale variability of humidity in general circulation model cloud cover parameterizations using satellite data, J. Geophys. Res., 117, D9, doi:10.1029/2012JD017495, 2012.
Weber, T., and J. Quaas, Incorporating the subgrid-scale variability of clouds in the autoconversion parameterization, JAMES, in press, 2012.
Schemann, V., B. Stevens, V. Grützun and J. Quaas, Evaluation of the scale dependency of GCM parameterisations of total-water subgrid scale variability, J. Atmos. Sci., in preparation
Gehlot, S., Feedbacks between convection and climate: Analysis with global modeling and satellite observations, Reports on Earth System Science, No 81, Max Planck Institute for Meteologogy, Hamburg, 2010
Quaas, J., et al., Interpreting the cloud cover – aerosol optical depth relationship found in satellite data using a general circulation model, Atmos. Chem. Phys., 10, 6129-6135, 2010
Peters, K., J. Quaas, and H. Grassl, Small large-scale effect of ship emissions on clouds and radiation in satellite data, J. Geophys. Res., revised.
Schirber, S., Parameter estimation in a general circulation model: From a perfect towards an imperfect world, Diplomarbeit, University of Hamburg, 44 pp., 2011.
Weber, T., Impact of Inhomogeneities on non-linear Cloud Processes, Reports on Earth System Science, 89, Max Planck Institute for Meteorology, ISSN 1614-1199, 86pp, 2011.
Cherian, R., C. Venkataraman, J. Quaas, and S. Ramachandran, GCM simulations of aerosol extinction, heating and effects on precipitation over India, Clim. Dyn., submitted (2012).
Weber, T., J. Quaas, and P. Räisänen, Evaluation of the statistical cloud scheme in the ECHAM5 model using satellite data, Q. J. R. Meteorol. Soc., doi:10.1002/qj.887, 2011.
Cherian, R., C. Venkataraman, S. Ramachandran, J. Quaas, and S. Kedia, Examination of aerosol distributions and radiative effects over the Bay of Bengal and the Arabian Sea region during ICARB using satellite data and a general circulation model, Atmos. C
Gehlot, S. and J. Quaas, Convection-climate feedbacks in ECHAM5 general circulation model: A Lagrangian trajectory perspective of cirrus cloud life cycle, J. Clim., in revision.
Klocke, D., Assessing the uncertainty in climate sensitivity, Reports on Earth System Science, 95, Max Planck Institute for Meteorology, ISSN 1614-1199, 95 pp., 2011.
Klocke, D., R. Pincus, and J. Quaas, On constraining estimates of climate sensitivity with present-day observations through model weighting, J. Clim., doi:10.1175/2011JCLI4193.1, 2011.
Nam, C. and J. Quaas, Evaluation of clouds and precipitation in the ECHAM5 general circulation model using CALIPSO and CloudSat, J. Clim., in revision.
Nam, C., Using CALIPSO and CloudSat satellite retrievals to evaluate low-level cloud parameterizations in ECHAM5 for cloud-climate feedback implications, Reports on Earth System Science, 88, Max Planck Institute for Meteorology, ISSN 1614-1199, 132pp, 201
Peters, K., Ship emission influence on clouds in satellite and model data, Doktorarbeit am Max-Planck-Institut für Meteorologie, eingereicht (2011).
Quaas, J., et al., Aerosol indirect effects – general circulation model intercomparison and evaluation with satellite data, Atmos. Chem. Phys. Discuss., 9, 12731-12779, 2009
Quaas, J., B. Stevens, P. Stier, and U. Lohmann, Interpreting the cloud-cover – aerosol optical depth relationship found in satellite data using a general circulation model, Atmos. Chem. Phys., submitted (2009)
Gehlot, S. and J. Quaas, ECHAM5 sensitivity runs for analysis of deep convective clouds using ISCCP simulator, EGU General Assembly, Vienna, 19 - 24 April 2009.
Klocke, D., J. Quaas, and M. Giorgetta, Evaluating feedback factors in a GCM: focus on clouds, EGU General Assembly, Vienna, 19 - 24 April 2009.
Klocke, D., J. Quaas, and M. Giorgetta, Climate sensitivity related to cloud processes in the general circulation model ECHAM5, AGU Fall Meeting, San Francisco, 15 - 19 December 2008.
Nam, C. and J. Quaas, Implementation of the CALIPSO and CloudSat Satellite Simulator within the ECHAM5 GCM, EGU General Assembly, Vienna, 19 - 24 April 2009.
Quaas, J., Y. Ming, S. Menon, T. Takemura, M. Wang, J. Penner, A. Gettelman, U. Lohmann, N. Bellouin, O. Boucher, A. M. Sayer, G. E. Thomas, A. McComiskey, G. Feingold, C. Hoose, J. E. Kristjánsson, X. Liu, Y. Balkanski, L. J. Donner, P. A. Ginoux, P. Sti
Quaas, J., O. Boucher, A. Jones, J. Kieser, and H. Joos, Exploiting the weekly cycle as observed over Europe to analyse aerosol indirect effects in two climate models, Atmos. Chem. Phys. Discuss., 9, 11269-11285, 2009d.
Weber, T. and J. Quaas, Evaluation of a statistical subgrid-scale variability scheme for water vapor and cloud condensate in a GCM using observational data, EGU General Assembly, Vienna, 19 - 24 April 2009.
Ringer et al., Global mean cloud feedbacks in idealized climate change experiments, Geophys. Res. Lett., 33, L07718, doi:10.1029/2005GL025370, 2006
291: Key Regions of the Global Oceanic Circulation
Latif et al. (2006)
286: ProSECCO
SPANGEHL, T., U. CUBASCH, C. C. RAIBLE, S. SCHIMANKE, J. KÖRPER, D. HOFER, 2009: Transient climate simulations from the Maunder Minimum to present day: the role of the stratosphere. Submitted to Journal of Geophysical Research - CAWSES Special Section.
HÜBENER, H., U. CUBASCH, U. LANGEMATZ, T. SPANGEHL, F. NIEHÖRSTER, I. FAST, M. KUNZE, 2007: Ensemble climate simulations using a fully coupled ocean-troposphere-stratosphere GCM. Phil. Trans. Roy. Soc. Series A, 365, 2089-2101.
HÜBENER, H., U. CUBASCH, U. LANGEMATZ, T. SPANGEHL, F. NIEHÖRSTER, I. FAST, M. KUNZE, 2006: Ensemble climate simulations using a fully coupled ocean-troposphere-stratosphere GCM. Submitted to Phil. Trans. Roy. Soc. Series A.
SPANGEHL, T., U. CUBASCH, C. C. RAIBLE, S. SCHIMANKE, J. KÖRPER, D. HOFER, 2010: Transient climate simulations from the Maunder Minimum to present day: Role of the stratosphere. J. Geophys. Res., 115, D00I10, doi:10.1029/2009JD012358.
HUEBENER, H., U. CUBASCH, U. LANGEMATZ, T. SPANGEHL, F. NIEHÖRSTER, I. FAST, M. KUNZE, 2007: Ensemble climate simulations using a fully coupled ocean-troposphere-stratosphere GCM. Phil. Trans. Roy. Soc. Series A, 365, 2089-2101.
280: CARBOOCEAN Parametersensitivitaet
Schneideret al.,2008,Biogeosciences 5,597-614
B. Schneider, L. Bopp, M. Gehlen, J. Segschneider, T. Frölicher, F. Joos, P. Cadule, P. Friedlingstein, S. Doney, and M. Behrenfeld Spatio-temporal variability of marine primary and export production in three coupled climate carbon cycle models. submitt
273: SCOUT-O3/MPI-M+MPI-C
Brühl et al 2007, ACP
Punge and Giorgetta, 2008, ACP
Punge et al, 2009, JGR
Lelieveld et al., 2007, Stratospheric dryness: model simulations and satellite observations. Atmos. Chem. Phys., 7, 1313-1332.
Brühl et al., 2007, Nitrogen compounds and ozone in the stratosphere: comparison of MIPAS satellite data with the Chemistry Climate Model ECHAM5/MESSy1. Atmos.Chem.Phys.Disc. 7, 9899-9924.
Eyring et al., 2007, Multi-model projections of stratospheric ozone in the 21 st century. J.Geophys.Res., in press
269: Entwicklung eines physik.konsistenten Systemmodells zur Untersuchung von Rotation, Oberflächengestalt und Schwerefeld der Erde
J. Sündermann, A. Hense, (2009) A PHYSICALLY CONSISTENT SYSTEM MODEL FOR THE STUDY OF THE EARTH’S ROTATION, SURFACE DEFORMATION AND GRAVITY FIELD PARAMETERS, Proceedings of the "Journées 2008 Systèmes de référence spatio-temporels ", 109-113
Hense A. et al., (2009) Physically consistent system model for the study of the Earth's rotation, surface deformation and gravity field, Deutsche Geodätische Kommission, Reihe B, Heft 317 ISBN 978-3-7696-8596-1
266: The Influence of Solar Radiation Perturbations on the Coupling of Atmospheric
Gabriel, A., D. Peters, I. Kirchner, and H.-F. Graf (2007), The effect of zonally asymmetric stratospheric ozone on large-scale dynamics and planetary wave propagation in the tropo-, strato- and mesosphere, GRL, 34, L06807, doi:10.1029/2006GL028998
Peters, D., A. Gabriel und G. Entzian (2008), Longitude - dependent decadal ozone changes and ozone trends in boreal winter months during 1960-2000, Ann. Geophys., 26, 1275-1286.
Gabriel, A., D. Peters, I. Kirchner, and H.-F. Graf (2009), Long-term changes in longitude-dependent stratospheric ozone and their influence on atmospheric circulation, J. Climate, submitted.
D. Peters, P. Keckhut and A. Gabriel (2009), Temperature trend profiles in the middle
Gabriel, A. und D. Peters (2008), Ozon und Klima, Leibniz-Nordost, No. 7 (ISSN 1862-6335), S. 12-13.
Gabriel, A., H. Schmidt and D.H.W. Peters (2011a): Effects of the 11-year solar cycle on middle atmospheric stationary wave patterns in temperature, ozone and water vapor. J. Geophys. Res., doi: 10.1029/2011JD015825, in press.
Gabriel, A., Hoeschel, I., Kirchner, I., Peters, D.H.W. and Graf, H.-F. (2011b): The influence of zonally asymmetric stratospheric ozone on the coupling of atmospheric layers, in "CAWSES", Springer, Dordrecht, The Netherlands, submitted.
Demirhan Bari, D., Gabriel, A., Koernich, H. and Peters, D.H.W. (2011): Impact of zonal asymmetries in the Brewer-Dobson circulation on O3 and H2O in Northern Middle Atmosphere, going to be submitted.
/home1/kd020/dkrz/Gabriel_et_al_JCL_20090408_submitted.pdf
/home1/kd020/dkrz/Gabriel_et_al_GRL_2006GL028998.pdf
/home1/kd020/dkrz/Peters_et_al_JGR_20090430-submitted.pdf
/home1/kd020/dkrz/Gabriel_Peters_LeibnizNordost_Nr7-2008_ISSN-1862-6335.pdf
Gabriel, A and D. Peters: The influence of zonally varying radiation perturbations in the stratosphere on Rossby wave developments, EGU General Assembly 2006, Vienna, Austria, 2-7 April 2006.
Peters, D., and A. Gabriel: The effect of zonally asymmetric radiation perturbations in the stratosphere on the coupling of atmospheric layers, 36th COSPAR Scientific Assembly, Beijing, 16-23 July 2006.
Peters, D. und A. Gabriel (2006): Dekadische Änderungen der längenabhängigen Ozonverteilung und ihre Wirkung auf die Kopplung der atmosphärischen Schichten, 7. Deutsche Klimatagung, München, 7-11 Oktober 2006.
Gabriel, A. and D. Peters (2006): The influence of zonal ozone variations on the long-term variability of Rossby wave developments and large-scale circulation patterns, 6th Annual Meeting of the EMS/ 6th ECAC, Ljubljana, Slowenien, 3-8 September 2006.
Peters, D. and A. Gabriel (2006): The influence of decadal zonal ozone variability in the stratosphere on the coupling of atmospheric layers. The 4th IAGA/ICMA/CAWSES workshop on long-term changes and trends in the atmosphere, Sodankylä, 4-8 Sep 2006
A. Gabriel, D. Peters, I. Kirchner and H.-F. Graf (2007): Effect of zonally asymmetric ozone on stratospheric temperature and planetary wave propagation. Geophys. Res. Lett., 34, L06807, doi:10.1029/2006GL028998.
Kirchner, I., A. Gabriel, D. Peters and H.-F. Graf (2007): Planetary wave propagation and circulation effects forced by zonally asymmetric ozone. EGU General Assembly 2007 (15-20 April 2007), Vienna, Austria.
Peters, D. A. Gabriel, I. Kirchner and H.-F. Graf (2007): Zonally asymmetric ozone in the stratosphere and its relevance for solar impact on atmospheric dynamics. IUGG General Assembly 2007 (2-13 July 2007), Perugia, Italy.
Gabriel, A., D. Peters, I. Kirchner and H.-F. Graf (2007): Long-term changes of zonally asymmetric ozone and their effects on stratospheric temperature and planetary wave propagation. 14th Conference on Middle Atmosphere (20-24 Aug 2007), Portland, Oregon
251: DKRZ Workshop Accounts
some more
aaa
248: Früherkennung von dichte- und windgetriebenen Transportanomalien im Nordmeer
Köhl, A., R.H. Käse, D. Stammer and N. Serra, 2005: Causes of changes in the Denmark Strait Overflow, submitted to J. Phys. Oceanogr
Köhl A., R. H. Käse, D. Stammer, and N. Serra (2007), Causes of changes in the Denmark Strait overflow, J. Phys. Oceanogr., 37, 1678–1696
Köhl A. (2007), Generation and stability of a quasi-permanent vortex in the Lofoten Basin. J. Phys. Oceanogr. , in press.
Dickson B., S. Dye, S. Jònsson, A. Köhl, A. Macrander, M. Marnela, J. Meincke, S. Olsen, B. Rudels, H. Valdimarsson and G. Voet (2008), The overflow flux west of Iceland: variability, origins and forcing. In: Arctic-Subarctic Ocean Fluxes: Defining the ro
Käse R. H., N. Serra, A. Köhl, and D. Stammer (2009), Mechanisms for the variability of dense water pathways in the Nordic Seas, J. Geophys. Res., 114, doi:10.1029/2008JC004916
Pohlmann H., J. Jungclaus, A. Köhl, D. Stammer and J. Marotzke (2009), Improving Decadal Climate Predictability through the Initialization of a Coupled Model with the GECCO Oceanic Synthesis, J. Climate, in press.
Köhl A. and D. Stammer (2008), Variability of the Meridional Overturning in the North Atlantic from the 50 years GECCO State Estimation, J. Phys. Oceanogr., 38, 1913-1930.
247: Grobstruktursimulation mit einem impliziten Feinstrukturmodell
Veröffentlichung
242: SCOUT-O3
Nissen, K. M., Matthes, K., Langematz, U. and Mayer, B.: Towards a better representation of the solar cycle in general circulation models, Atmos. Chem. Phys. Discuss., 7, 45-64, 2007.
227: Spatially and size high-resolved aerosol modelling
Lammel, G., V.Wulfmeyer, S.Pal, A.M.Valdebenito, A.Behrendt, F.Müller, M.Radlach and T.Schaberl (2006): Aerosole aus der Nutztierhaltung, status report, BWPLUS annual report, 56 pp.
209: Vulkane und ihr Einfluß auf Klima und Atmosphärenchemie
Timmreck, C. and H.-F.Graf, The initial dispersal and radiative forcing of a Northern Hemisphere mid-latitude super volcano: a model study, Atmos. Chem. Phys., 6, 35-49, 2006
198: IPCC-Ensemblesimulationen mit EGMAM / IPCC Ensemble Simulations with EGMAM
Huebener et al., 2007 (Figures)
Schimanke et al. (2010/1)
Schimanke et al. (2010/2)
ENSEMBLES final report
ENSEMBLES report D2 A2.3
ENSEMBLES report D2 A3.3
Koerper et al. (2009)
194: ENSEMBLES
Semenov, V.A., and M. Latif (2006): Impact of tropical Pacific variability on the mean North Atlantic thermohaline circulation, Geophys. Res. Lett., 33, doi:10.1029/2006GRL026237
Dommenget, D., V. Semenov, and M. Latif (2006): Impacts of the tropical Indian and Atlantic Oceans on ENSO, 33, doi :10.1029/2006GL025871
193: Klimaänderungsuntersuchungen mit Hilfe der Bayesischen Statistik
Min and Hense 2006, Geoph. Res. Lett.
Min and Hense, 2006, J. Climate
Min et al, 2006, J. Meteor. Soc. Japan., 84,
Min and Hense (2007a)
Min and Hense (2007b)
Min, Simonis and Hense (2007)
Seung-Ki Min, Andreas Hense, 2005: A Bayesian Climate Change Detection Using Multi-Model Ensembles, Part I: Global Mean Surface Temperature.
Seung-Ki Min, Stephanie Legutke, Andreas Hense, Won-Tea Kwon, 2004: Internal variablility in a 1000-yr control simulation with the coupled climate model ECHO-G-I. Near-surface temperature, precipitation and mean sea level pressure
Seung-Ki Min, Stephanie Legutke, Andreas Hense, Won-Tea Kwon, 2004: Internal variablility in a 1000-yr control simulation with the coupled climate model ECHO-G - II. El Nino Southern Oscillation and North Atlantic Oscillation
Seung-Ki Min, Andreas Hense, 2005: A Bayesian approach to climate model evaluation and multi-model averaging
Seung-Ki Min, Stephanie Legutke, Andreas Hense, Ulrich Cubasch, Won-Tae Kwon, 2005:East Asian Climate Change in the 21st Century as Simulated by the Coupled Climate Model ECHO-G under IPCC SRES Scenarios
188: MOTIF - Models and Observations to Test Climate Feedbacks
EGU General Assembly 2005, Vienna, Austria, 24 - 29 April 2005: "The sensitivity to Last Glacial Maximum boundary conditions in ECHAM5 simulations" (U. Merkel, S. Renner and M. Latif)
DEKLIM-EEM-Konferenz, Mainz, 7-11 March 2005: "Tropical Pacific climate and variability during the Mid-Holocene" (U. Merkel, M. Latif, C. Gerber and J. Jungclaus)
184: Regional Climate and Land Use Change Simulations for West Africa
IAHS Publication 280
IAHS Publication 295
180: ORFOIS - EU -FP5 Contract No. EVK2-CT2001-00100
Heinze, C., Simulating CaCO3 export production in the greenhouse, Geophysical Research Letters, Vol. 30, L16308, 2004
172: Simulation von maritimen Orkanzyklonen auf der meso-alpha Skala
Frisius, T, 2006: Axisymmetric tropical cyclogenesis via a single convective ring. Extended abstract, 27th conference on hurricanes and tropical meteorology, Monterey, CA
Frisius, T., und U. Wacker, 2007: Das massenkonsistente axialsymmetrische Wolkenmodell HURMOD. Wissenschaftliche Dokumentation. DWD Forschung und Entwicklung- Arbeitsergebnisse Nr. 85, Deutscher Wetterdienst, 42S.
Frisius, T., 2004: Numerical simulation of tropical cyclogenesis with the Lokal-Modell. COSMO Newsletter No. 4, 189-196.
Wacker U., T. Frisius, und F. Herbert, 2005: Evaporation and precipitation surface effects in local mass continuity laws of moist air. Eingereicht bei J. Atmos. Sci.
Frisius, T., und T. Hasselbeck, 2005: The effect of ice-phase microphysics on tropical cyclones simulated by the Lokalmodell (LM). LM-User Workshop 2005, Langen
170: SOAP - Klimavariablität der letzten 500 Jahre
Bericht vom Rechenzeitjahr 2005/2006 (korrigierte Schrift)
169: Klimamodellierung mit dem Virtuellen Labor für Erdsystem Studien
Belyaev K.P., Tuchkova N.P. On a limit distribution of characteristics in stationary regime for the linear assimilation problem // Informatics and Applications, 2015. V. 9. Issue. 2. P. 50-55.
Huang B, Polanski S and Cubasch U (2015) Assessment of precipitation climatology in an ensemble of CORDEX-East Asia regional climate simulations. Clim Res 64: 141–158
Belyaev K.P., Tanajura C.A.S., Tuchkova N.P. (2012): Comparison of Methods for Argo Drifters Data Assimilation into a Hydrodynamical Model of the Ocean. Oceanology. Vol. 52, No. 5, P. 593-603.
Polanski, S., Fallah, B., Prasad, S., and Cubasch, U. (2013): Simulation of the Indian Monsoon and its Variability during the last Millennium. Climate of the Past Discussion, 9, 703-740, doi:10.5194/cpd-9-703-2013.
Schimanke et al. 2010/2
Schimanke et al. 2010/1
Blessmann: "Experimente mit einem gekoppelten Ozean-Troposphäre-Stratosphäre-Modell (mit Chemie)" (Vortragskurzfassung im Tagungsband der MT-DACH 2004)
Gabriel, A., et al. (2012) The influence of zonally asymmetric stratospheric ozone on the coupling of atmospheric layers. CAESES book, Springer 2012, chapter 28 (submitted)
Belyaev et al, 2016, Data assimilation experiments with MPIESM climate model, DOI 10.1051/matecconf/20167605003
Belyaev K., Kuleshov A., Kirchner I., Tuchkova N. (2016) Data assimilation experiments with MPIESM climate model // MATEC Web Conf. 20th International Conference on Circuits, Systems, Communications and Computers (CSCC 2016). V. 76, pp. 1-3.1 DOI:http://dx.doi.org/10.1051/matecconf/20167605003
Belyaev K., Kuleshov A., Tuchkova N. Tanajura C.A.S. (2017) An optimal data assimilation method and its application to the numerical simulation of the ocean dynamics Mathematical and Computer Modelling of Dynamical Systems, Taylor & Francis (United Kingdom), с. 1-14 DOI 10.1080/13873954.2017.1338300
Huidong Li, Michael Wolter, Xun Wang, Sahar Sodoudi. (2017) Impact of land cover data on the simulation of urban heat island for Berlin using WRF coupled with bulk approach of Noah-LSM. Theoretical and Applied Climatology. https://doi.org/10.1007/s00704-017-2253-z.
Belyaev K., Kuleshov A., Kirchner I., Tuchkova N. (2016) Numerical experiments with MPI-ESM coupled Atmosphere-Land-Ocean model in conjunction with data assimilations in Arctic Region. Proc. Int. Conf. of Computational Methods in Sciences and Engineering 2016 (ICCMSE-2016), edited by T. E. Simos et al. // AIP Conference Proceedings, Vol. 1790, 150005; http://dx.doi.org/10.1063/1.4968744(WoS, Scopus).
Zhihong Zhui (2019). The hydrological effects of explosive volcanic eruptions in the Asian monsoon region. Dissertation FUB.
Li H., Sodoudi S. et al. Urban Pollution Island and its Relationship with Urban Climate in Berlin. Atmospheric Research. (under review).
Climate impact of volcanic eruptions: the sensitivity to eruption season and latitude in MPI-ESM ensemble experiments. Zhihong Zhuo, Ingo Kirchner, Stephan Pfahl, and Ulrich Cubasch, ACP in press
168: Modellierung thermohaliner Prozesse im subpolaren Nordatlantik und ihrer Bedeutung fuer dekadische Zirkulationsschwankungen
Brandt, P., A. Funk, L. Czeschel, C. Eden and C. Böning, 2005: Export of convectively formed water in the boundary currents of the Labrador Sea. submitted to J. Phys. Oceanogr.
Czeschel, L., 2004: The role of eddies for the deep water formation in the Labrador Sea. Ph.D. Thesis, Kiel University, Leibniz-Institut f. Meereswissenschaften, 101 pp.
Czeschel, L. and C. Böning, 2005: Improving the representation of Labrador Sea deep convection in z-coordinate models. in prep.
Czeschel, L. and C. Böning, 2005: Wind stress-induced variability of Labrador Sea Water formation. in prep.
Latif, M., C. Böning, J. Willebrand, A. Biastoch, J. Dengg, N. Keenlyside and U. Schweckendiek, 2005: Is the thermohaline circulation changing? submitted to Science.
Latif, M., C. W. Böning, J. Willebrand, A. Biastoch, F. Alvarez-Garcia, N. Keenlyside, and H. Pohlmann, 2006: Decadal to multidecadal variability of the Atlantic MOC: Mechanisms and Predictability, in Schmittner, A. ; Chiang, J. ; Hemming, S. (Eds.) : Pas
Biastoch, A, C. Böning., J. Getzlaff, J.-M. Molines, and G. Madec, 2006: Mechanisms of interannual - decadal variability in the meridional overturning circulation of the mid-latitude North Atlantic Ocean, submitted to J. Climate
Biastoch, A., C. Völker, and C. Böning, 2006: Uptake and spreading of anthropogenic CO2 in an eddy-permitting model of the Atlantic Ocean, J. Geophys. Res., in press
Böning, C. W., M. Scheinert, J. Dengg, A. Biastoch, and A. Funk, 2006: Decadal variability of subpolar gyre transport and its reveberation in the North Atlantic overturning, Geophys. Res. Letters, 33, doi:10.1029/2006GL026906
Brandt, P., Funk, A., Czeschel, L., Eden, C. and C. W. Böning, 2007: Ventilation and transformation of Labrador Sea Water and its rapid export in the deep Labrador Current, J. Phys. Oceanogr., 37, 946-961
Emery, W. J. , Brandt, P. , Funk, A., and C. W. Böning, Claus W., 2006: A comparison of sea surface temperatures from microwave remote sensing of the Labrador Sea with in situ measurements and model simulations J. Geophys. Res. 111, doi:10.1029/2006JC0035
Hüttl, S. and C. W. Böning, 2006: Mechanisms of decadal variability in the shallow subtropical-tropical circulation of the Atlantic Ocean: a model study, Journal of Geophys. Res., 111, doi:10.1029/2005JC003414
Getzlaff, K., Böning, C. W., and J. Dengg, 2006: Pathway of deep water export from the subpolar North Atlantic: Lagrangian perspectives of an eddy-resolving model, Geophys. Res. Letters, doi: 10.1029/2006GL026470
Latif, M.; Böning, C.W.; Willebrand, J.; Biastoch, A.; Dengg, J.; Schneider, B.; Schweckendiek, U., 2006: Is the thermohaline circulation changing? Journal of Climate, in press.
Getzlaff, K.; Böning, C.W.; Dengg, J., 2006: Lagrangian perspectives of deep water export from the subpolar North Atlantic. Geophysical Research Letters, submitted.
Böning, C.W.; Scheinert, M.; Dengg, J.; Biastoch, A.; Funk, A., 2006: Decadal variability of subpolar gyre transport and its reveberation in the North Atlantic overturning. Geophys. Res. Letters, submitted.
164: Short-range QPF by combinig 4D observations of water vaour and wind with innovative methods in data assimilation
Schwitalla, T., G. Zängl, H.-S. Bauer, and V. Wulfmeyer, 2008: Systematic errors of QPF in low-mountain regions. Special Issue on Quantitative Precipitation Forecasting, Meteorologische Zeitrschrift, 17, 903-919, http://www.ingentaconnect.com/content/sc
Zus, F., M. Grzeschik, H.-S. Bauer, and V. Wulfmeyer, 2008: Design and optimization of the IPM GPS slant path 4DVAR system. Special Issue on Quantitative Precipitation Forecasting, Meteorologische Zeitschrift, 17, 867-885, www.ingentaconnect.com/content
Grzeschik, M., H.-S. Bauer, and V. Wulfmeyer, 2008: Four-dimensional analysis of water-vapor Raman lidar data and their impact on mesoscale forecasts. Journal of Atmospheric and Oceanic Technology, 25, 1437-1453, DOI:10.1175/2007JTECHA974.1.
Grzeschik, M. et al., 2007: Four-dimensional variational analysis of water-vapor Raman lidar data and their impact on mesoscale forecasts. J. Atmos. Oceanic Technol. Accepted
Schwitalla, T. et al., 2007: Convective initiation in the Black Forest region in high-resolution MM5 simulations. Proceedings of the International Conference on Alpine Meteorology (ICAM), Chambéry, France, 4-8 June 2007
Wulfmeyer, V. et al., 2006: 4-dimensional variational assimilation of water vapor differential absorpion lidar data. The first case study within IHOP 2002. Mon. Wea. Rev., 134, 1, 209-230
Bauer, H.-S., V. Wulfmeyer, T. Schwitalla, F. Zus, and M. Grzeschik, 2010: Operational assimilation of GPS slant path delay measurements into the MM5 4DVAR system. Accepted for publication in Tellus A.
Schwitalla, T., H.-S. Bauer, V. Wulfmeyer, and F. Aoshima, 2010: High-resolution simulation over central Europe: Assimilation experiments with WRF 3DVAR during COPS IOP9c. Accepted for publication in the COPS Special Issue of the Q. J. R. Meteorol. Soc.
Wulfmeyer, V., H.-S. Bauer, M. Grzeschik, A. Behrendt, F. Vandenberghe, E. V. Browell, S. Ismail, and R. A. Ferrare, 2006: Four-Dimensional Variational Assimilation of Water Vapor Differential Absorption Lidar Data: The First Case Study within IHOP_2002.
157: Klimasensitivitaet der biologischen Pumpe: Synthese von in-situ Beobachtungen und Modellergebnissen
Eden, C. and H. Dietze (2009): Effects of meso-scale eddy/wind interaction on biological new production and eddy kinetic energy. J. Geophys. Res. (in press)
Eden, C. and R. J. Greatbatch (2008): Towards a mesoscale eddy closure. Ocean Modelling 20 (3) 223-239
Eden, C. and R. J. Greatbatch (2008): Diapycnal mixing by mesoscale eddies. Ocean Modeling 23 (3-4) 113-120
Eden, C. and R.J. Greatbatch (2009): A diagnosis of isopycnal mixing by mesoscale eddies. Ocean Modeling 27 (1-2) 98-10
Dengler et al 2004, Nature
143: Modellierung biogeochemischer Kreisläufe
Tiwari, Y. K. et al., 2011: Carbon dioxide observations at Cape Rama, India for the period 1993–2002: implications for constraining Indian emissions. Current Science, 101, 1562-1568.
124: Quantification of Uncertainties in Regional Climate Simulations
Kotlarski, S., Block, A., Böhm, U., Jacob, D., Keuler, K., Knoche, R., Rechid, D., Walter, A., 2005: Regional Climate Model Simulations as Input for Hydrological Applications: Evaluation of Uncertainties. Advances in Geosciences, 5, 119-125.
Walter, A., K. Keuler, D. Jacob, R. Knoche, A. Block, S. Kotlarski, G. Müller-Westermeier, D. Rechid, W. Ahrens, 2006: A high resolution reference data set of german wind velocity 1951-2001 and comparison with regional climate model results. Met. Zeitschr
Keuler et al, 2005: QUIRCS: Quantification of uncertainties in regional climate and climate change simulation. German Climate Research Programme (2001-2006), Final Symposium 2005, S. 171-179, Projektträger Umweltforschung und –technik, DLR, Bonn.
Böhm, U., M. Kücken, D. Hauffe, F.-W. Gerstengarbe, P.C. Werner, M. Flechsig, K. Keuler, A. Block, W. Ahrens, Th. Nocke, 2004: Reliability of regional climate model simulations of extremes and of long-term climate. NHESS, 4, 417-431
Kotlarski, S., Böhm, U., Jacob, D., Keuler, K., Knoche, R., Rechid, D., Walter, A., 2005: Regional Climate Model Simulations as Input for Hydrlological Applications: Evaluation of Uncertainties. Advances in Geosciences (accepted)
Kein aktuelle Publikation
114: Reconstructing the Eemian climate by means of Data Assimilation Through Upscaling and Nudging (DATUN)
Groll, Widmann, Jones, Kaspar and Lorenz, 2005: Simulated relationships between regional temperatures and large-scale circulation during the early Eemian interglacial and the pre-industrial period. J. Climate, in press
Widmann, 2005: One-dimensional CCA and SVD, and thier relationship to regression maps. J. Climate, 18, 2785-2792.
111: Reconstructing the European climate for the instrumental period by means of Data Assimilation Through Upscaling and Nudging (DATUN)
Jones and Widmann, 2004: Early Peak in Antarctic Oscillation Index. Nature, 432, 290-291.
Widmann, 2005: One-dimensional CCA and SVD, and their relationship to regression maps. J. Climate, 18, 2785-2792.
107: IMPETUS (Integriertes Management-Projekt Süßwasser in Westafrika)
Paeth, H., K. Born, R. Girmes, R. Podzun, and D. Jacob, 2009: Regional Climate Change in Tropical and Northern Africa due to Greenhouse Forcing and Land Use Changes. J. Climate, 22, 114–132
Born K, Fink AH, Paeth H, 2008: Dry and Wet periods in the Northwestern Maghreb for Present Day and Future Climate Conditions. Meteorol. Zeitschrift 17, 533-551
Brücher T, 2008: Verbesserung der Simulation des Westafrikanischen Klimas durch die Implementierung eines einfachen dynamischen Vegetationsmodells (Svege) in das Klimamodell ECHAM5. University of Cologne, 193 p.
Christoph M, Fink A, Diekkrüger B, Giertz S, Reichert B, Speth P, 2008: IMPETUS: Implementing HELP in the Upper Ouémé Basin. Water SA, 34(4), pp. 481-489 (HELP Special Issue)
BRÜCHER, W.; CHRISTOPH, M.; DAMRAU, J.; FINK, A.; SPETH, P. (2005): Comparison of changes in the intensity and variability of the West African Monsoon simulated by two recent versions of the Global Circulation Model ECHAM. Geophysical Research Abstracts
FINK, A.; VINCENT, D.G.; REINER, P.; SPETH, P. (2004): Mean state and wave disturbances during phases I, II, and III of GATE based on ERA-40. Mon. Wea. Rev., 132 (7), pp. 1661-1683.
FINK, A. (2005): WAM rainfall types, their climatology, and their relation to the synoptic-scale (thermo-) dynamic environment (eingeladen). Geophysical Research Abstracts, 7, 09214, SRef-ID: 1607-7962/gra/ EGU05-A-08911.
POHLE, S. (2004): Auslösung von mesoskaligen Gewitterkomplexen über Westafrika in Zusammenhang mit Trögen in den oberen Westwinden außerhalb der Hauptregenzeit. Diplomarbeit am Institut für Geophysik und Meteorologie der Universität zu Köln.
Knippertz, P. und A. H. Fink, 2005: Synoptic and Dynamic Aspects of an Extreme Springtime Saharan Dust Outbreak. Eingereicht bei Quart. J. Roy. Met. Soc. im Mai 2005.
Schrage, J. M., A. H. Fink, V. Ermert und E. D. Ahlosnou, 2005: Case Studies of mesoscale convective system in the Soudano-Guinean zone of West Afrcica during the 2002 monsoon season. Eingereicht bei J. Atmos. Sci. im Mai 2005.
ERMERT, V.; FINK, A.; SPETH, P. (2004): Typisierung von Niederschlagsereignissen in Benin (Westafrika) in der Regenzeit 2002. German-Austrian-Swiss Meteorological Conference, 07-10. September 2004, Karlsruhe, Germany, 10 pp, on CD-ROM.
ERMERT, V. (2004): Typisierung von Niederschlagsereignissen in der westafrikanischen Sudanzone während des Sommermonsuns 2002. Diplomarbeit am Institut für Geophysik und Meteorologie der Universität zu Köln.
POHLE, S.; FINK, A.; SPETH, P. (2004): Synoptik und Dynamik eines Starkniederschlagereignisses in der Trockenzeit über Westafrika im Januar 2002. German-Austrian-Swiss Meteorological Conference, 07-10. September 2004, Karlsruhe, Germany, 10 pp, on CD-ROM.
106: ENSEMBLES
Donat, M.G., G.C. Leckebusch, S. Wild, U. Ulbrich, 2010: Benefits and limitations of regional multi-model ensembles for storm loss estimations. Climate Research, in press
Leckebusch, G.C., B. Koffi, U. Ulbrich, J.G. Pinto, T. Spangehl, S. Zacharias, 2006: Analysis of frequency and intensity of European winter storm events from a multi-model perspective, at synoptic and regional scales. Climate Research, Vol. 31, 59-74
Pinto, J.G., E.L. Fröhlich, G.C. Leckebusch, and U. Ulbrich, 2007: Changing European storm loss potentials under modified climate conditions according to ensemble simulations of the ECHAM5/MPI-OM1 GCM. Nat. Hazards Earth Syst. Sci., 7, 165–175.
Leckebusch, G.C., U. Ulbrich, L. Fröhlich, J.G. Pinto, 2007: Property loss potentials for European mid-latitude storms in a changing climate. Geophys. Res. Letters, 34, L05703, doi:10.1029/2006GL027663
105: Analyse, Diagnose, Validierung
Kelemen, F., Ludwig, P., Reyers, M., Ulbrich, S., & Pinto, J. (2016). Evaluation of moisture sources for the Central European summer flood of May/June 2013 based on regional climate model simulations. Tellus A, 68. doi:http://dx.doi.org/10.3402/tellusa.v68.29288
Dangendorf S, Arns A, Pinto J G, Ludwig P and Jensen J 2016 The exceptional influence of storm ‘Xaver’ on design water levels in the German Bight. Environ. Res. Lett. 11 054001 doi: 10.3389/fmars.2016.00056
Ludwig P, Pinto JG, Hoepp SA, Fink AH, Gray SL (2015) Secondary cyclogenesis along an occluded front leading to damaging wind gusts: windstorm Kyrill, January 2007. Mon Weather Rev 143:1417–1437. doi:10.1175/MWR-D-14-00304.1
The role of anomalous SST and surface fluxes over the Southeastern North Atlantic in the explosive development of windstorm Xynthia
Explosive development of winter storm Xynthia over the subtropical North Atlantic Ocean
Joaquim G. Pinto, Thomas Spangehl, Uwe Ulbrich and Peter Speth: Sensitivities of a cyclone detection and tracking algorithm (submitted to Meteorologische Zeitschrift)
PINTO, J.; LECKEBUSCH, G.; WEIMER, A.; HANSWILLEMENKE, K.; NEUHAUS, C. P.; SPETH, P. (2004): Statistisch-dynamische Regionalisierung zur Auswertung schadenintensiver Sturmereignisse über NRW jetzt und in Zukunft. DACH-MT
Joaquim G. Pinto, Thomas Spangehl, Uwe Ulbrich and Peter Speth: Sensitivities of a cyclone detection and tracking algorithm: individual tracks and climatology (Submitted to Meteorologische Zeitschrift)
FINK, A.; BRÜCHER, T.; KRÜGER, A.; LECKEBUSCH, G.; PINTO, J.; ULBRICH, U. (2004): The 2003 European summer heat waves and drought - synoptic diagnosis and impacts. Weather, 59(8), pp. 20 -216.
Born, K, Ludwig, P, Pinto, JG: A Probabilistic Approach of Wind Gust Estimation: Comparison of Techniques for Mid-European Winter Storms. (submitted to Tellus-A in Oct. 2010)
Fink AH, Brücher T, Ermert V, Krüger A, Pinto JG (2009) The European Storm Kyrill in January 2007: Synoptic Evolution and Considerations with Respect to Climate Change. Nat Hazards Earth Syst Sci 9:405-423
Pinto JG, Zacharias S, Fink AH, Leckebusch GC, Ulbrich U (2009) Factors contributing to the development of extreme North Atlantic cyclones and their relationship with the NAO. Clim Dyn 32:711-737
Pinto JG, Zacharias S, Fink AH, Leckebusch GC, Ulbrich U (2009) Factors contributing to the development of extreme North Atlantic cyclones and their relationship with the NAO. Clim Dyn 32, 711-737. doi 10.1007/s00382-008-0396-4
Fink A, Brücher W, Ermert V, Krüger A, Pinto JG (2009) The European Storm Kyrill in January 2007: Synoptic Evolution and Considerations with Respect to Climate Change. Nat. Hazards Earth Syst. Sci. 9: 405-423
R. Haas und K. Born, Probabilistic downscaling of precipitation data in a subtropical mountain area: A two-step approach., Nonlinear Processes in Geophysics, 18:223-234, 2011 , DOI: 10.5194/npg-18-223-2011
M.R.L Liberato, J.G. Pinto, I.F. Trigo und R.M. Trigo, Klaus - an exceptional winter storm over Northern Iberia and Southern France. Weather, 2011, DOI: 10.1002/wea.755; http://onlinelibrary.wiley.com/doi/10.1002/wea.755/abstract
PINTO, J.; BRÜCHER, T.; FINK, A.; KRÜGER, A. (2007): Extraordinary snow accumulations over parts of central Europe during the winter of 2005/06 and weather-related hazards. Weather, 62(1), 16-21.
PINTO, J.; ULBRICH, U.; LECKEBUSCH, G.; SPANGEHL, T.; REYERS, M.; ZACHARIAS, S. (2007): Changes in storm track and cyclone activity in three SRES ensemble experiments with the ECHAM5/MPI-OM1 GCM. Clim. Dyn., 29, 195-210. DOI 10.1007/s00382-007-0230-4.
PINTO, J.G.; SPANGEHL, T.; ULBRICH, U.; SPETH, P. (2005): Sensitivities of a cyclone detection and tracking algorithm: individual tracks and climatology. Meteorologische Zeitschrift, 14, 823-838.
PINTO, J.G.; SPANGEHL, T.; ULBRICH, U.; SPETH, P. (2006): Assessment of winter cyclone activity in a transient ECHAM4-OPYC3 GHG experiment. Meteorologische Zeitschrift, 15 (3), 1-13.
LECKEBUSCH, G.C.; KOFFI, B.; ULBRICH, U.; PINTO, J.G.; SPANGEHL, T.; ZACHARIAS, S. (2006): Analysis of frequency and intensity of European winter storm events from a multi-model perspective, at synoptic and regional scales. Climate Research, Vol. 31, 59-7
PINTO, J.G.; ULBRICH, U; LECKEBUSCH, G.C.; SPANGEHL, T; REYERS, M; ZACHARIAS, S. (2006):Changes in storm track and cyclone activity in three SRES ensemble experiments with the ECHAM5/MPI-OM1 GCM. Submitted to Climate Dynamics
Mathias, L., V. Ermert, F.D. Kelemen, P. Ludwig, and J.G. Pinto, 2017: Synoptic Analysis and Hindcast of an Intense Bow Echo in Western Europe: The 9 June 2014 Storm. Wea. Forecasting, 32, 1121–1141. https://doi.org/10.1175/WAF-D-16-0192.1
DOI: 10.5194/nhess-19-1023-2019,
Mathias, L., Ludwig, P., and Pinto, J. G.: Synoptic-scale conditions and convection-resolving hindcast experiments of a cold-season derecho on 3 January 2014 in western Europe, Nat. Hazards Earth Syst. Sci., 19, 1023–1040
DOI: 10.1002/wea.3979,
Mathias, L., Ludwig, P. and Pinto, J.G. (2021), The damaging tornado in Luxembourg on 9 August 2019: towards better operational forecasts. Weather. https://doi.org/10.1002/wea.3979
DOI: 10.5194/nhess-23-1287-2023,
Ludwig, P., Ehmele, F., Franca, M. J., Mohr, S., Caldas-Alvarez, A., Daniell, J. E., Ehret, U., Feldmann, H., Hundhausen, M., Knippertz, P., Küpfer, K., Kunz, M., Mühr, B., Pinto, J. G., Quinting, J., Schäfer, A. M., Seidel, F., and Wisotzky, C.: A multi-disciplinary analysis of the exceptional flood event of July 2021 in central Europe – Part 2: Historical context and relation to climate change, Nat. Hazards Earth Syst. Sci., 23, 1287–1311, https://doi.org/10.5194/nhess-23-1287-2023, 2023.
104: ORigin and Fate of biogenic particle fluxes in the Ocean and their Interactions with the atmospheric CO2 concentration as well as the marine Sediment (ORFOIS)
I.Kriest and E.Maier-ReimerParticle transfer from upper ocean export production to sea-floor sedimentation. Glob. Biogeoch. Cycles ( subm.)
103: Aerosole und Klima
H.Wan, P.J. Rasch, K. Zhang et al., Geoscientific Model Development, 6(3), 861-874, doi:10.5194/gmd-6-861-2013 (2013).
S.J.Ghan, S.J.Smith, M.Wang et al., J. Geophys. Res., D (Atmospheres), 118(12) 6688-6707 doi:10.1002/jgrd.50567 (2013).
E. Jiao, M.G. Flanner, Y. Balkansky et al. Atmos. Chem. Phys. Discuss., 13, 26217-26267, doi:10.5194/acpd-13-26217-2013 (2013).
K.D.Six, S.Kloster, T.Ilyina, Nature Climate Change, doi:10.1038/nclimate1981, (2013).
B.H.Samset, G.Myhre, M.Schulz, etal. Atmos.Chem.Phys, 13(5), 2423-2434, doi:10.5194/acp-13-2423-2013 (2013).
G.Myhre, B.H. Samset, M.Schulz, Atmos.Chem.Phys, 13(4), 1853-1877, doi:10.5194/acpd-13-1853-2013 (2013).
K. Peters et al., Atmos. Chem. Phys., 12, 5985-6007 (2012)
J. Kazil et al., Geophys. Res. Lett., 39, L02805, doi:10.1029/2011GL050058 (2012)
M. Wang et al., Geophys. Res. Lett., 39, L15709, doi:10.1029/2012GL052204 (2012)
M. Kulmala et al., Atmos. Chem. Phys., 11, 13061-13143 (2011)
K. Zhang et al., Atmos. Chem. Phys., 12, 891108949 (2012)
http://www.mpimet.mpg.de/en/depts/dep1/acc/reports/recent_rep_year_2005.php
Veroeffentlichungen
Lohmann U, P. Stier, C. Hoose, S. Ferrachat, E. Roeckner, S. Kloster, J. Zhang (2007): Cloud microphysics and aerosol indirect effects in the global climate model ECHAM5-HAM, Atmos. Chem. Phys., 7, 3425-3446.
Peng Y., U. Lohmann, R. Leaitch, and M. Kulmala: An investigation into the aerosol dispersion effect through the activation process in marine stratus clouds, J. Geophys. Res., in print.
L. Pozzoli L, I. Bey, J. S. Rast, M. G. Schultz, P. Stier, and J. Feichter (2007): Trace gas and aerosol interactions in the fully coupled model of chemistry-aerosol-climate ECHAM5-HAMMOZ, PART I: Model description and insights from the spring 2001 TRACE
L. Pozzoli, I. Bey, J. S. Rast, M. G. Schultz, P. Stier, and J. Feichter (2007): Trace gas and aerosol interactions in the fully coupled model of aerosol-chemistry-climate
Schultz M. G., A. Heil, J. J. Hoelzemann, A. Spessa, K. Thonicke, J. Goldammer, A. C. Held, and J. M. Pereira: Global Emissions from Wildland Fires from 1960 to 2000, submitted to Global Biogeochemical Cycles.
Aghedo A.M., M.G. Schultz, and S. Rast (2007): The influence of African air pollution on the regional and global tropospheric chemistry, Atmos. Chem. Phys., 7, 1193-1212.
Auvray, M., I. Bey, E. Llull, M.G. Schultz, and S. Rast (2007): A model investigation of tropospheric ozone chemical tendencies in long-range transported pollution plumes, J. Geophys. Res. (Atmospheres), 112, D5, D05304.
Kloster, S., K. D. Six, J. Feichter, E. Maier-Reimer, E. Roeckner, P. Wetzel, P.
Lohmann U., J. Quaas, S. Kinne, and J. Feichter (2007): Different approaches for constraining global climate models of the anthropogenic indirect aerosol effect, Bulletin of the American Meteorological Society, 88, 243-249.
Stier, P., J. H. Seinfeld, S. Kinne, and O. Boucher (2007): Aerosol absorption and radiative forcing Atmos. Chem. Phys. Discuss., 7, 7171-7233.
Textor, C., M. Schulz, S. Guibert, S. Kinne, Y. Balkanski, S. Bauer, T. Berntsen, T. Berglen, O. Boucher, M. Chin, F. Dentener, T. Diehl, J. Feichter, D. Fillmore, P. Ginoux, S. Gong, A. Grini, J. Hendricks, L. Horowitz, P. Huang, I. S. A. Isaksen, T. Ive
Zhang, K., Wan, H., Wang, B., Zhang, M., Feichter, J., and Liu, X.: Tropospheric aerosol size distributions simulated by three online global aerosol models using the M7 microphysics module, Atmos. Chem. Phys., 10, 6409-6434, doi:10.5194/acp-10
Cheng T., Y. Peng, J. Feichter, and I. Tegen (2008): An improvement on the dust emission scheme in the global aerosol-climate model ECHAM5-HAM, Atmos. Chem. Phys., 8, 1105-1117.
Fischer-Bruns I., D.F. Banse, and J. Feichter (2008): Future Impact of Anthropogenic Sulfate Aerosol on North Atlantic Climate, Clim. Dyn., accepted.
Kazil, J., R.G. Harrison, and E.R. Lovejoy (2008): Tropospheric new particle formation and the role of ions. Space Sci Rev 137: 241255, doi:10.1007/s11214-008-9388-2.
Kloster, S., F. Dentener, J. Feichter, F. Raes, J. van Aardenne, E. Roeckner, U. Lohmann, P. Stier, and R. Swart (2008): Influence of future air pollution mitigation strategies on total aerosol radiative forcing. Atmos. Chem. Phys. Discuss., 8, 6405-6437
Lohmann, U., J. Quaas, S. Kinne, and J. Feichter, 2007: Different approaches for constraining global climate models of the anthropogenic indirect aerosol effect, Bull. Am. Meteorol. Soc., 88, 243249.
Pozzoli, L., I. Bey, S. Rast, M. Schultz, P. Stier, and J. Feichter (2008a): Trace gas and aerosol interactions in the fully coupled model of aerosol-chemistry-climate ECHAM5-HAMMOZ: 1. Model description and insights from the spring 2001 TRACE-P experimen
Pozzoli, L., I. Bey, S. Rast, M. Schultz, P. Stier, and J. Feichter (2008b): Trace gas and aerosol interactions in the fully coupled model of aerosol-chemistry-climate ECHAM5-HAMMOZ: 2. Impact of heterogeneous chemistry on the global aerosol distributions
97: IMPETUS - Integratives Management-Projekt für einen effizienten und tragfähigen Umgang mit Süßwasser in Westafrika
Paeth, H. (2004): Key factors in African climate change evaluated by a regional climate model. Erdkunde 58, 290-315. 23, 815-837.
Paeth, H.; Born, K.; Jacob, D. and Podzun, R. (2005): Regional dynamic downscaling over West Africa: model validation and comparison of wet and dry years. Meteorologische Zeitschrift, in press.
Paeth, H. and Hense, A. (2005): Mean versus extreme climate in the Mediterranean region and its sensitivity to future global warming conditions. Meteorolog. Zeit., in press.
Paeth, H. and Hense, A. (2005): On the linear response of tropical African climate to SST changes deduced from regional climate model simulations. Theor. Appl. Climatol., in press.
Paeth, H. and H.-P. Thamm (2007): Regional modelling of future African climate including greenhouse warming and land degradation. Climatic Change 83, 401-427.
Paeth et al. (2009), J. Climate
Paeth et al. (2006): Regional climate change in tropical Africa under greenhouse forcing and land use changes. Nature, under review.
92: Climate change at the very end of a warm stage
Kaspar, F., Prömmel, K. Cubasch, U.: Impacts of tectonic and orbital forcing on East African climate: a comparison based on global climate model simulations; International Journal of Earth Sciences, Volume 99, Number 7, 1677-1686, 2010, DOI:10.1007/s00531
Kaspar, F., U. Cubasch: Simulations of the Eemian interglacial and the subsequent glacial inception with a coupled ocean-atmosphere general circulation model. In: F. Sirocko, et al. (eds.): The climate of past interglacials. Elsevier, in press.
Berger, A., M.-F. Loutre, F. Kaspar, S. J. Lorenz: Insolation during interglacials. In: F. Sirocko, T. Litt, M. Claussen, M.F. Sánchez-Goñi (eds.): The climate of past interglacials. Elsevier, in press.
Kaspar, F., U. Cubasch: Simulation of the Eemian interglacial and possible mechanisms for the glacial inception. In: J. Harff, et al.: (Eds.): Coastline changes: Interrelation of climate and geological processes. Geological Society of America, accepted.
Cubasch, U, E. Zorita, F. Kaspar, J. F. Gonzalez-Rouco, H. von Storch, K. Prömmel: Simulation of the role of solar and orbital forcing on climate. Advances in Space Research, Vol. 37, pp. 1629-1634, 2006, doi:10.1016/j.asr.2005.04.076.
Groll, N., M. Widmann, J.Jones, F. Kaspar, S. Lorenz: Simulated relationships between regional temperatures and large-scale circulation: 125 kyr BP (Eemian) and the preindustrial period. J. of Clim., 18, No. 19, pp. 4035-4048, 2005, doi:10.1175/JCLI3469.1
Kaspar, F., N. Kühl, U. Cubasch, T. Litt: A model-data-comparison of European temperatures in the Eemian interglacial. Geophysical Research Letters, 32, L11703, doi:10.1029/2005GL022456.
Sirocko, F., U. Cubasch, F. Kaspar, et al.: Climate change at the very end of a warm stage: First results from the last glacial inception at 117,000 yr bp, PAGES News Vol. 12, No. 2, Sep. 2004
Kaspar, F., U. Cubasch: Simulation der Eem-Warmzeit mit einem gekoppelten Ozean-Atmosphäre-Zirkulationsmodell und Vergleich mit rekonstruierten Temperaturdaten. Terra Nostra, 2003/6, 228-232, 2003
Kaspar, F., U. Cubasch, S. Lorenz: Simulation of the Eemian interglacial with the coupled ocean-atmosphere circulation model ECHO-G. RegClim General Technical Report No. 7, Oslo, Norway, 2003
Kaspar, F., U. Cubasch: Das Klima am Ende einer Warmzeit. Eingereicht als Beitrag in Der belebte Planet. Sonderheft der Berliner Geowissenschaftlichen Abhandlungen, Fachbereich Geowissenschaften, Freie Universität Berlin, in press.
Sirocko, F., et al: Synthesis on the climate of the last four interglacials (MIS 5, 7, 9, 11). In: F. Sirocko, T. Litt, M. Claussen, M.F. Sánchez-Goñi (eds.): The climate of past interglacials. Elsevier.
Kaspar, F., T. Spangehl, U. Cubasch: Simulated change in storm track activity at the end of the last interglacial. Geophysical Research Abstracts, EGU06-A-08216, 2006
Kaspar, F.; U. Cubasch: Simulations of the Eemian interglacial and the subsequent glacial inception with a coupled atmosphere-ocean general circulation model In: Final Symposium of DEKLIM, Hrsg.: BMBF/DLR, Bonn, 2005
Kaspar, F., Spangehl, T., Cubasch, U.: Northern hemisphere winter storm tracks of the Eemian interglacial and the last glacial inception, Climate of the Past, 3, 181-192, 2007
Kaspar, F., U. Cubasch: Simulations of the Eemian interglacial and the subsequent glacial inception with a coupled ocean-atmosphere general circulation model. In: F. Sirocko et al. (eds.): The climate of past interglacials, ch.33,pp.499-515,Elsevier,2007
Kaspar, F., U. Cubasch: Simulation of the Eemian interglacial and possible mechanisms for the glacial inception. In: J. Harff et al.: Coastline changes: Interrelation of climate and geological processes. Geological Society of America, ISBN 0-8137-2426-0
Kaspar, F., U. Cubasch: Das Klima am Ende einer Warmzeit. In: Der belebte Planet. Sonderheft der Berliner Geowissenschaftlichen Abhandlungen, Fachbereich Geowissenschaften, Freie Universität Berlin, 2007
Kaspar, F., N. Kühl, U. Cubasch, T. Litt: A model-data-comparison of European temperatures in the Eemian interglacial. Geophysical Research Letters, 32, L11703, 2005, doi:10.1029/2005GL022456.
Cubasch, U, E. Zorita, F. Kaspar, J. F. Gonzalz-Rouco, H. von Storch, K. Prömmel: Simulation of the role of solar and orbital forcing on climate. Advances in Space Research, in press, 2005
80: Klima und Verkehr
Righi, M., Hendricks, J., Sausen, R., 2016: The global impact of the transport sectors on atmospheric aerosol in 2030 – Part 2: Aviation, Atmos. Chem. Phys., 16, 4481–4495, doi:10.5194/acp-16-4481-2016.
Kaiser, C., 2015: Including Coarse Mode Aerosol Microphysics in a Climate Model: Model Development and First Application, Dissertation, Ludwig-Maximilians-Universität, München.
Righi, M., Hendricks, J., Sausen, R., 2015: The global impact of the transport sectors on atmospheric aerosol in 2030 – Part 1: Land transport and shipping, Atmos. Chem. Phys., 15, 633–651.
Dietmüller, S., Ponater, M., Sausen, R., 2013: Ozone induces negative feedback in CO2 driven climate change simulations, J. Geophys. Res., submitted.
Righi, M., Hendricks, J., Sausen, R., 2013: The global impact of the transport sectors on atmos-pheric aerosol: simulations for year 2000 emissions, Atmos. Chem. Phys., 13, 9939-9970, doi:10.5194/acp-13-9939-2013.
Gottschaldt,K. Voigt,C., Jöckel,P., Righi,M. Deckert, R., Dietmüller,S., Global sensitivity of aviation NOx effects to the HNO3-forming channel of the HO2+NO reaction. Atmos. Chem. Phys. Discuss., 12, 24287-24349, 2012.
Stenke, A., Deckert, R., and Gottschaldt, K., Methane modeling - from process-oriented models to global climate models, in: Atmospheric Physics - Background - Methods - Trends, edited by: Schumann, U., Springer, 781-797, 2012.
Dietmüller, S., 2011: Relative Bedeutung chemischer und physikalischer Rückkopplungen in Klimasensitivitätsstudien mit EMAC/MLO, Dissertation, Ludwig-Maximillians-Universität München.
C. Frömming, M. Ponater, U. Burkhardt, A. Stenke, S. Pechtl, R. Sausen: Sensitivity of contrail coverage and contrail radiative forcing to selected key parameters, Atmos. Environ., 45, 1483-1490..
Hendricks, J., Kärcher, B., Lohmann, U., 2011: Effects of ice nuclei on cirrus clouds in a global climate model, J. Geophys. Res., 116, D18206, doi:10.1029/2010JD015302.
Dameris et al., 2005
Stenke and Grewe, 2005
Grewe, 2004
Mertens, M., Grewe, V., Rieger, V. S., and Jöckel, P.: Revisiting the contribution of land transport and shipping emissions to tropospheric ozone, Atmos. Chem. Phys., 18, 5567-5588, https://doi.org/10.5194/acp-18-5567-2018, 2018.
Rieger, V. S., Mertens, M., and Grewe, V.: An advanced method of contributing emissions to short-lived chemical species (OH and HO2): the TAGGING 1.1 submodel based on the Modular Earth Submodel System (MESSy 2.53), Geosci. Model Dev., 11, 2049-2066, https://doi.org/10.5194/gmd-11-2049-2018, 2018.
DOI: 10.5194/gmd-2019-212,
Righi, M., Hendricks, J., Lohmann, U., Beer, C. G., Hahn, V., Heinold, B., Heller, R., Krämer, M., Rolf, C., Tegen, I., and Voigt, C.: A new approach to simulate aerosol effects on cirrus clouds in EMAC v2.54, Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2019-212, in review, 2019.
DOI: 10.5194/gmd-12-541-2019,
Kaiser, J. C., Hendricks, J., Righi, M., Jöckel, P., Tost, H., Kandler, K., Weinzierl, B., Sauer, D., Heimerl, K., Schwarz, J. P., Perring, A. E., and Popp, T.: Global aerosol modeling with MADE3 (v3.0) in EMAC (based on v2.53): model description and evaluation, Geosci. Model Dev., 12, 541–579, https://doi.org/10.5194/gmd-12-541-2019, 2019.
DOI: 10.5194/gmd-13-4287-2020,
Beer, C. G., Hendricks, J., Righi, M., Heinold, B., Tegen, I., Groß, S., Sauer, D., Walser, A., and Weinzierl, B., 2020: Modelling mineral dust emissions and atmospheric dispersion with MADE3 in EMAC v2.54, Geosci. Model Dev., 13, 4287–4303, https://doi.org/10.5194/gmd-13-4287-2020.
DOI: 10.5194/gmd-13-1635-2020,
Righi, M., Hendricks, J., Lohmann, U., Beer, C. G., Hahn, V., Heinold, B., Heller, R., Krämer, M., Rolf, C., Tegen, I., and Voigt, C., 2020: Coupling aerosols to (cirrus) clouds in the global EMAC-MADE3 aerosol–climate model, Geosci. Model Dev., 13, 1635–1661, https://doi.org/10.5194/gmd-13-1635-2020.
DOI: -,
Beer, C. G., 2021: Global modelling of ice nucleating particles and their effects on cirrus clouds, PhD thesis, Ludwig-Maximilians-Universität, München, in print
DOI: 10.5194/gmd-2021-191,
Li, J., Hendricks, J., Righi, M., and Beer, C. G., 2021: An aerosol classification scheme for global simulations using the K-means machine learning method, Geosci. Model Dev. Discuss. [preprint], https://doi.org/10.5194/gmd-2021-191, in review
DOI: 10.5194/acp-2021-329,
Righi, M., Hendricks, J., and Beer, C. G., 2021: Exploring the uncertainties in the aviation soot-cirrus effect, Atmos. Chem. Phys. Discuss. [preprint], https://doi.org/10.5194/acp-2021-329, in review
DOI: 10.5282/edoc.28470,
Beer, C. G., 2021: Global modelling of ice nucleating particles and their effects on cirrus clouds, Ph.D. thesis, Ludwig-Maximilians-Universität München, https://doi.org/10.5282/edoc.28470.
DOI: 10.5194/acp-2022-529,
Beer, C. G., Hendricks, J. and Righi, M., 2022: A global climatology of ice nucleating particles at cirrus conditions derived from model simulations with EMAC-MADE3, Atmos. Chem. Phys. Discuss. [preprint], https://doi.org/10.5194/acp-2022-529, in review.
DOI: 10.5194/gmd-15-509-2022,
Li, J., Hendricks, J., Righi, M., and Beer, C. G., 2022: An aerosol classification scheme for global simulations using the K-means machine learning method, Geosci. Model Dev., 15, 509-533, https://doi.org/10.5194/gmd-15-509-2022.
DOI: 10.5194/acp-21-17267-2021,
Righi, M., Hendricks, J., and Beer, C. G., 2021: Exploring the uncertainties in the aviation soot–cirrus effect, Atmos. Chem. Phys., 21, 17267–17289, https://doi.org/10.5194/acp-21-17267-2021.
DOI: 10.5194/esd-14-835-2023,
Righi, M., Hendricks, J., and Brinkop, S.: The global impact of the transport sectors on the atmospheric aerosol and the resulting climate effects under the Shared Socioeconomic Pathways (SSPs), Earth Syst. Dynam., 14, 835–859, https://doi.org/10.5194/esd-14-835-2023, 2023.
DOI: 10.5194/egusphere-2023-1983,
Beer, C. G., Hendricks, J., and Righi, M.: Impacts of ice-nucleating particles on cirrus clouds and radiation derived from global model simulations with MADE3 in EMAC, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2023-1983, 2023.
DOI: 10.5194/acp-22-15887-2022,
Beer, C. G., Hendricks, J., and Righi, M.: A global climatology of ice-nucleating particles under cirrus condi-tions derived from model simulations with MADE3 in EMAC, Atmos. Chem. Phys., 22, 15887–15907, https://doi.org/10.5194/acp-22-15887-2022, 2022.
73: CLIMCYC- Palaeomodellierung des letzten Eiszeitzyklus mit gekoppelten Modellen
A. Winguth et al. (2005), Centennial-scale interactions between the carbon cycle and anthropogenic climate change using a dynamic earth system model. Geophysical Research Letters 32(23),doi:101029/2005GL023681.
M. Gröger et al. (). vegetation - climate feedbacks in transient simulations over the last interglacial (128,000-113,000 yrBP). in F. Sirocko, T. Litt and M. Claußen (eds.) The climate of past interglacials, in press.
G. Schurgers (2006) Long-term interactions between vegetation and climate. Berichte zur Erdsystemforschung 27, Hamburg, 135p.
Gröger, M., Mikolajewicz, U., Maier-Reimer, E., Schurgers, G., Vizcaino, M., Winguth, A. Vegetation-climate feedbacks in transient simulations over the last interglacial (128 113 ky B.P.). In: Sirocko, F., Litt, T. Claussen, M. Sanchez-Goni, M.F. (eds)
Winguth, A., Mikolajewicz, U., Gröger, M., Maier-Reimer, E., Schurgers, G., Vizcaino, M. Centennial-scale interactions between the carbon cycle and anthropogenic climate change using a dynamic earth system model. Submitted to Geophysical Research Letter
Mikolajewicz, U., Gröger, M., Marotzke, J., Schurgers, G., Vizcaíno, M., 2004. Die Simulation von Eiszeitzyklen mit einem komplexen Erdsystemmodell. In: MPG Jahrbuch 2004.
Groeger et al. Climate feedbacks in a complex 3D earthsystem model. DEKLIM-Pages conference, Mainz, 7-10 March, 2005
Groeger et al. Vegetation feedbacks in a complex earth system model during the last interglacial.EGU General Assembly, Vienna, 24-29 April, 2005
Mikolajewicz et al. Feedbacks in a complex earthsystem model: Relevance for past and future climate changes. DEKLIM-Pages conference, Mainz, 7-10 March, 2005
Schurgers et al. The carbon cycle in the MPI paleoclimate earth system model.MILMO Workshop, Brussels, 16-17 November, 2004
Schurgers et al. Modelling climate-vegetation interactions with a paleoclimate earth system model.AGU Fall Meeting, San Francisco, 13-17 December, 2004
Schurgers et al. Long term effects of CO2 increase on climate and carbon cycle in a complex earth system model.EGU General Assembly, Vienna, 24-29 April, 2005
Vizcaino et al. The Greenland ice sheet and the climate of the next 1000 years: an approach with a complex earth system model.EGU General Assembly, Vienna, 24-29 April, 2005
Arne Winguth et al.: AGU Chapman Conference WHOI 24-27 July 2005,Simulated Present and Future Changes of the PIC:POC Ratio
Arne Winguth et al.: CO2 UPTAKE OF THE BIOSPHERE: FEEDBACKS BETWEEN THE CARBON CYCLE AND CLIMATE CHANGE UDING A DYNAMIC EARTH SYSTEM MODEL , 7. International Carbon Dioxide Conference, September 25-30, 2005
72: Mechanismen der veraenderlichkeit der thermohalinen Zirkulation im Nordatlantik im Falle globaler Erwaermung
Gregory, J.M. und Koautoren (incl. J. Jungclaus), 2005: A model intercomparison of changes in the Atlantic thermohaline circulation in response to increasing CO2 in the atmosphere. Geophys. Res. Lett., Vol. 32, No. 12, L12703, doi:10.1029/2005GL023209
Jacob, D., H. Goettel, J.Jungclaus, M. Muskulus, R. Podzun and J. Marotzke, 2005: Slowdown of the Thermohaline Circulation Causes Enhanced Maritime Climate Influence and Snow Cover over Europe. Eingereicht: Geophys. Res. Lett.
Jungclaus, J.H., M. Botzet, H. Haak, N. Keenlyside, M. Latif, J. Marotzke, U. Mikolajewicz und E. Roeckner, 2005: Ocean circulation and tropical variability in the AOGCM ECHAM5/MPI-OM. Eingereicht, J. Climate.
Stouffer, R. und Koautoren (incl. J. Jungclaus), 2005: Investigating the causes of the response of the Thermohaline Circulation to past and future climate changes. Eingereicht: J. Climate.
Jungclaus, J.H., M. Botzet, H. Haak, N. Keenlyside, M. Latif, J. Marotzke, U. Mikolajewicz und E. Roeckner, 2006a: Ocean circulation and tropical variability in the AOGCM ECHAM5/MPI-OM. J. Climate, 19, 3952-3972.
Jungclaus, J.H., M. Esch, H. Haak, E. Roeckner, und J. Marotzke, 2006b: Will Greenland melting halt the Thermohaline Circulation? Geophys. Res. Lett., in press.
Stouffer, R.J. and coauthors (2006), Investigating the causes of the response of the Thermohaline Circulation to past and future climate changes. J. Clim.,19, 1365-1387.
58: The Atmosperic Response to Solar Variability: Simulations with a General Circulation and Chemistry Model for the Entire Atmosphere (Fortsetzung von MEDEC)
Yuan, T., C.-Y. She, D. A. Krueger, F. Sassi, R. Garcia, R. G. Roble, H.-L. Liu, and H. Schmidt: Climatology of mesopause region temperature, zonal wind and mer. wind over Fort Collins ...,J. Geophys. Res., 113, D03105, doi:10.1029/2007JD008697, 2008.
Offermann, D., M. Jarisch, H. Schmidt, J. Oberheide, K.U. Grossmann, O. Gusev, J.M. Russell III, and M.G. Mlynczak: The "wave turbopause", J. Atm. Sol.-Terr. Phys., 69, 2139-2158, doi:10.1016/j.jastp.2007.05.012, 2007.
# Achatz, U., N. Grieger, and H. Schmidt: Mechanisms Controlling the Diurnal Solar Tide: Analysis Using a GCM and a Linear Model, J. Geophys. Res., 113, A08303, doi:10.1029/2007JA012967, 2008.
Yuan, T., H. Schmidt, C. Y. She, D. A. Krueger, S. Reising, Seasonal variations of semidiurnal tidal perturbations in mesopause region temperature, zonal and meridional winds above Ft Collins, J. Geophys. Res., 113, D20103, doi:10.1029/2007JD009687, 2008.
Offermann, D., O. Gusev, M.Donner, J.M.Forbes, M.Hagan, M.G.Mlynczak, J.Oberheide, P.Preusse, H.Schmidt, and J.M.Russell III: Relative Intensities of Middle Atmosphere Waves, J. Geophys. Res., 114, D06110, doi:10.1029/2008JD010662., 2009.
# Gruzdev, A., H. Schmidt, G. P. Brasseur: The effect of the solar rotational irradiance variation on the middle and upper atmosphere calculated by a threedimensional chemistry-climate model, Atmos. Chem. Phys., 9, 595-614, 2009.
# Lossow, S., J. Urban, H. Schmidt, D. R. Marsh, J. Gumbel, P. Eriksson, and D. Murtagh: Wintertime water vapour in the polar upper mesosphere and lower thermosphere - First sat. obs. by Odin/SMR, J. Geophys. Res., doi:10.1029/2008JD011462, in press, 2009
C.-Y. She, D. A. Krueger, R. Akmaev, H. Schmidt, E. Talaat, and S. Yee: Long-term variability in mesopause region temperatures over Fort Collins, CO based on lidar observations from 1990 through 2007, J. Atm. Sol.-Terr. Phys., in press, 2009.
Schmidt, H., G. P. Brasseur, M. A. Giorgetta: The solar cycle signal in a general circulation and chemistry model with internally generated QBO, J. Geophys. Res., 115, D00I14, doi:10.1029/2009JD012542, 2010.
Dikty, S., H. Schmidt, M. Weber, C. von Savigny, and M. G. Mlynczak: Daytime ozone and temperature variations in the mesosphere: a comparison between SABER observations and HAMMONIA model, Atmos. Chem. Phys., 10, 8331–8339, 2010.
Schmidt, H., G. P. Brasseur, and the MEDEC-team, Mesospheric Dynamics, Energetics, and Chemistry, to be published in a book on the AFO2000 program, 2005
48: VERNAER - Variability and extremes of poleward breaking Rossby waves over the North Atlantic-European region
Dieter H. W. Peters, Andrea Schneidereit, Marianne Bügelmayer, Christoph Zülicke & Ingo Kirchner (2015) Atmospheric Circulation Changes in Response to an Observed Stratospheric Zonal Ozone Anomaly, Atmosphere-Ocean, 53:1, 74-88, DOI: 10.1080/07055900.2013.878833
Peters, D.H.W., A. Schneidereit, M. Bügelmayer, Ch. Zülicke, I. Kirchner (2013). Atmospheric Circulation Changes in Response to an Observed Stratospheric Zonal Ozone Anomaly. Atmosphere-Ocean, accepted.
Schneidereit et al. (2012): Large-Scale Flow and the Long-Lasting Blocking High over Russia: Summer 2010, MWR, 140, 2967-2981
Serafimovich, A., Ch. Zülicke, P. Hoffmann, D. Peters, P. Dalin and W. Singer, 2006: Inertia gravity waves in the upper troposphere during the MaCWACE winter campaign, Part II: Experimental and mesoscale modelling studies. Annales Geophysicae: submitted.
Zülicke, Ch., 2006: Statistische Eigenschaften von Trägheitsschwerewellen in polwärts brechenden Rossby-Wellen (Colloqium at the IPA of DLR Oberpfaffenhofen, 16 Jan 2006) lecture.
Zülicke, Ch. and D. Peters, 2006a: Simulation of inertia-gravity waves in a poleward breaking Rossby wave. J. Atmos. Sci.: accepted.
Zülicke, Ch. and D. Peters, 2006b: Parameterisation of strong stratospheric inertia-gravity waves forced by poleward breaking Rossby waves. Mon. Wea. Rev: submitted.
Zülicke, Ch., D. Peters and A. Gabriel, 2006: Statistical properties of inertia-gravity waves associated with poleward breaking Rossby waves (European Geosciences Union General Assembly 2006, Vienna, Austria, 02 – 07 April 2006); Poster; Proceedings
Zülicke, C. & D. Peters, 2007: Impact of upper-level jet-generated inertia-gravity waves on surface wind and precipitation. Atmos. Chem. Phys. Discuss. 7: 15873. http://www.atmos-chem-phys-discuss.net/7/15873/.
Zülicke, C. & D. H. W. Peters, 2008: Parameterization of strong stratospheric inertia-gravity waves forced by poleward breaking Rossby waves. Mon. Wea. Rev. 136, 1: 98 - 119. doi:10.1175/2007MWR2060.1.
Peters, D., Ch. Zülicke, P.Hoffmann and A. Serafimovich, 2004: Inertia-gravity waves and their contribution to breaking Rossby waves (LEWIZ). AFO2000-Newsletter 8 (GSF München, Sep 2004): 15-18 http://www.afo-2000.de/004/pdf_download/AFO_Newsl%238.pdf
Zülicke, Ch. and D. Peters, 2005: Precipitation and Inertia-gravity Waves (Colloquium of DFG-SPP1167 "Quantitative Precipitation Forecast", 10 - 11 Mar 2005, Physik-Zentrum Bad Honnef) lecture 15 min
Zülicke, Ch. and D. Peters, 2004: Ausbreitung von Trägheitsschwerewellen in die Stratosphäre über dem winterlichen Norddeutschland (DACH – Deutsch-Österreichisch-Schweizerische Meteorologen-Tagung, 07.-10.09.2004, Karlsruhe) lecture 15 min; Proceedings
Zülicke, Ch. and D. Peters, 2004: Modelling the impact of inertia-gravity waves on wind and precipitation. Fourth Study Conference on BALTEX, Scala Cinema, Gudhjem, Bornholm, Denmark, 24.-28.05.2004; Lecture 15 min; Int. BALTEX Secr. Publ. 29: 103 - 104
Zülicke, Ch. and D. Peters, 2004: Driving of inertia-gravity waves by a poleward breaking Rossby wave - Mesoscale model simulations. EGU - 1st General Assembly, Nice, France, 25.-30.04.2004; Lecture 15 min; Geophys. Res. Abstr. 6, 03603
Zülicke, Ch. and D. Peters, 2005: Statistical properties of inertia-gravity waves associated with poleward breaking Rossby waves (13th Conference on Middle Atmosphere, 13 - 17 Jun 2005, Cambridge, MA, USA); Proc.
Zülicke, Ch. and D. Peters, 2004: Inertia-gravity waves generated during poleward Rossby wave breaking events over Northern Germany in winter. SPARC 2004 conference, Halifax, Canada, 01.-06.08.2004; Poster reference number 10168
Zülicke, Ch., D. Peters, P. Hoffmann, A. Serafimovich and M. Gerding, 2004: LEWIZ – Inertia-gravity waves and their connection to breaking Rossby waves. AFO-2000 Final seminar, Bad Tölz, 22.-24.03.2004;
Eixmann, R., D. H. W. Peters, C. Zülicke, M. Gerding & A. Dörnbrack, 2010: On the upper tropospheric formation and occourence of high and thin cirrus clouds during anticyclonic poleward Rossby wave breaking events. Tellus 62A: 228 - 242.
Peters, D. H. W., P. Vargin, A. Gabriel, N. Tsvetkova & V. Yushkov, 2010: Tropospheric forcing of the boreal polar vortex splitting in January 2003. Ann. Geopysicae, submitted.
Serafimovich, A., Ch. Zülicke, P. Hoffmann, D. Peters, P. Dalin and W. Singer, 2006: Inertia gravity waves in the upper troposphere during the MaCWACE winter campaign, Part II: Experimental and mesoscale modelling studies. Ann. Geophys. 24: 2863 - 2875
Zülicke, Ch. and D. Peters, 2006: Simulation of inertia-gravity waves in a poleward breaking Rossby wave. J. Atmos. Sci. 63, 12: 3253 - 3276, doi:10.1175/JAS3805.1
Zülicke, Ch. and D. Peters, 2007: Parameterization of strong stratospheric inertia-gravity waves forced by poleward breaking Rossby waves. Mon. Wea. Rev.: accepted.
Zülicke, Ch. and D. Peters, 2007: Lighthill radiation of inertia-gravity waves from a jet streak. J. Atmos. Sci.: submitted.
Zülicke, Ch. and D. Peters, 2007: Impact of upper-level jet-generated inertia-gravity waves on surface wind and precipitation. J. Appl. Met. Clim.: submitted
40: Quartäre Klimayzklen und Küstenauftrieb
Giraud X., and C. Le Quéré, Importance of coastal suply of PO4, Si and Fe for global ocean biogeochemistry, /in prep/.
32: PRISM
http://prism.enes.org
http://cgam.nerc.ac.uk/pmwiki/pmwiki.php/PRISM/PSIHomePage
25: Klimaänderungen infolge externer Einflüsse in einem komplexen Klimamodell
Roeckner, E., P. Stier, J. Feichter, S. Kloster, M. Esch, I. Fischer-Bruns, 2006: Impact of carbonaceous aerosol emissions on regional climate change. Climate Dynamics, DOI 10.1007/s00382-006-1047-3
Stier, P., J. Feichter, E. Roeckner, S. Kloster, M. Esch, 2006: The evolution of the global aerosol system in a transient climate simulation from 1860 to 2100. Atmos. Chem. Phys., 6, 3059-3076
21: ESGF - Datenintegration
keine
http://www.mad.zmaw.de/fileadmin/extern/lectures/preservation-of-earth-system-model-data.pdf