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Vietinghoff, D., Heine, C., Böttinger, M., Maher, N., Jungclaus J., and Scheuermann, G. (2021). Visual Analysis of Spatio-Temporal Trends in Time-Dependent Ensemble Data Sets on the Example of the North Atlantic Oscillation. 2021 IEEE 14th Pacific Visualization Symposium (PacificVis), 2021, pp. 71-80 doi:10.1109/PacificVis52677.2021.00017

Vietinghoff, D., Heine, C., Böttinger, M., and Scheuermann, G. (2021). An Extension of Empirical Orthogonal Functions for the Analysis of Time-Dependent 2D Scalar Field Ensembles. 2021 IEEE 14th Pacific Visualization Symposium (PacificVis), pp. 46-50, doi:10.1109/PacificVis52677.2021.00014

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Nardini, P., Chen, M., Bujack, R., Böttinger, M., and Scheuermann, G. (2020). A Testing Environment for Continuous Colormaps. IEEE Transactions on Visualization and Computer Graphics, vol. 27, no. 02, pp. 1043-1053, doi:10.1109/TVCG.2020.3028955

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Blecha, C., Raith, F., Präger, A. J., Nagel, T., Kolditz, O., Maßmann, J., Röber, N., Böttinger, M., and Scheuermann, G. (2020). Fiber Surfaces for many Variables. Computer Graphics Forum, 39, Issue 3, The Eurographics Association and John Wiley & Sons Ltd. doi:10.1111/cgf.13983

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Nardini, P., Chen, M. , Samsel, F., Bujack, R., Böttinger, M. and Scheuermann., G. (2019). The Making of Continuous Colormaps. IEEE Transactions on Visualization and Computer Graphics, Vol. 27, No. 6, pp. 3048-3963 doi:10.1109/TVCG.2019.2961674

Röber N., Engels J.F. (2019). In-Situ Processing in Climate Science. In: Weiland M., Juckeland G., Alam S., Jagode H. (eds) High Performance Computing. ISC High Performance 2019. Lecture Notes in Computer Science, vol 11887. Springer, Cham doi:10.1007/978-3-030-34356-9_46

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Hohenegger, C., Kornblueh, L., Klocke, D., Becker, T., Cioni, G., Engels, J. F., Schulzweida, U., and Stevens, B. (2019). 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, Article ID 2020-005 doi:10.2151/jmsj.2020-005

Wittenburg P., de Jong F., van Uytvanck D., Cocco M., Jeffery K., Lautenschlager M., Thiemann H., Hellström M., Asmi A., Holub P. (2019). State of FAIRness in ESFRI Projects. Data Intelligence 2, Nr. 1–2): 230–237 doi:10.1162/dint_a_00045

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Kappe, C. P., Böttinger, M. and Leitte, H. (2019). Analysis of Decadal Climate Predictions with User-guided Hierarchical Ensemble Clustering. Computer Graphics Forum, 38, Issue 3, The Eurographics Association and John Wiley & Sons Ltd. doi:10.1111/cgf.13706

Stockhause, M., Juckes, M., Chen, R., Moufouma Okia, W., Pirani, A., Waterfield, T., Xing, X. and Edmunds, R. (2019). Data Distribution Centre Support for the IPCC Sixth Assessment. Data Science Journal, 18(1), p.20. doi:10.5334/dsj-2019-020

Kappe, C.P., Böttinger, M. and Leitte, H. (2019). Topology-based Feature Detection in Climate Data. Workshop on Visualisation in Environmental Sciences (EnvirVis), Bujack, R., Feige, K., Rink, K. and Zeckzer, D. (eds.), The Eurographics Association doi:10.2312/envirvis.20191099

Böttinger M., Röber N. (2019). Visualization in Climate Modelling. In: Palocz-Andresen M., Szalay D., Gosztom A., Sípos L., Taligás T. (eds) International Climate Protection. Springer, Cham. doi:10.1007/978-3-030-03816-8_39

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Siegfried, L., Schmidt, M., Mohrholz, V., Pogrzeba, H., Nardini, P., Böttinger, M., and Scheuermann, G. (2019). The tropical-subtropical coupling in the Southeast Atlantic from the perspective of the northern Benguela upwelling system. PLoS ONE 14(1): e0210083. doi:10.1371/journal.pone.0210083

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Durack, P. J., Taylor, K. E., Eyring, V., Ames, S. K. , Hoang, T., Nadeau, D., Doutriaux, C., Stockhause, M., and Gleckler, P. J. (2018). Toward standardized data sets for climate model experimentation. Eos, 99 doi:10.1029/2018EO101751

Mikolajewicz, U., Ziemen, F., Cioni, G., Claussen, M., Fraedrich, K., Heidkamp, M., Hohenegger, C., Jimenez de la Cuesta, D., Kapsch, M.-L., Lemburg, A., Mauritsen, T., Meraner, K., Röber, N., Schmidt, H., Six, K. D., Stemmler, I., Tamarin-Brodsky, T., Winkler, A., Zhu, X., and Stevens, B. (2018). The climate of a retrograde rotating earth pdf . Earth Syst. Dynam. Discuss., in review, 2018. doi:10.5194/esd-2018-31

Huettenberger, L., Feige, K., Böttinger, M., Garth, C. (2017). Analyzing Climate Simulation Ensembles Using Pareto Sets. Visualization in Practice Workshop 2017, IEEE Vis2017

Helbig, C., Dransch, D., Böttinger, M., Devey, C., Haas, A., Hlawitschka, M., Kuenzer, C., Rink, K., Schäfer-Neth, C., Scheuermann, G., Kwasnitschka, T., Unger, A. (2017). Challenges and strategies for the visual exploration of complex environmental data. International Journal of Digital Earth, Volume 10, 2017 doi:/10.1080/17538947.2017.1327618

Nardini, P., Böttinger, M., Scheuermann, G., Schmidt, M. (2017). Visual Study of the Benguela Upwelling System using Pathline Predicates. Workshop on Visualisation in Environmental Sciences (EnvirVis), The Eurographics Association doi:10.2312/envirvis.20171099

Raith, F., Röber, N., Haak, H., Scheuermann, G. (2017). Visual Eddy Analysis of the Agulhas Current. Workshop on Visualisation in Environmental Sciences (EnvirVis), The Eurographics Association doi:10.2312/envirvis.20171100

Heinze, R., Dipankar, A., Henken, C. 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. (2017). Large-eddy simulations over Germany using ICON: a comprehensive evaluation. Q.J.R. Meteorol. Soc., 143: 69–100 doi:10.1002/qj.2947

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Helbig, C., Bilke, L., Bauer H.-S., Böttinger, M., Kolditz, O. (2015). MEVA - An Interactive Visualization Application for Validation of Multifaceted Meteorological Data with Multiple 3D Devices. PLoS ONE10(4): e0123811 doi:10.1371/journal.pone.0123811

J. Brase, M. Lautenschlager and I. Sens (2015). The Tenth Anniversary of Assigning DOI Names to Scientific Data and a Five Year History of DataCite. D-Lib Magazine Vol. 21, No. 1-2 doi:10.1045/january2015-brase

Häb, K., Schweitzer, S., Fernández Prieto, D., Hagen E., Engel, D., Böttinger, M., Scheler, I. (2014). Visualization of Building Performance Simulation Results: State-of-the-Art and Future Directions. IEEE PacificVis Visualization Notes Short Paper Track, 2014 doi:10.1109/PacificVis.2014.34

T. Weigel, S. Kindermann, M. Lautenschlager (2014). Actionable Persistent Identifier Collections. Data Science Journal, Vol. 12, p. 191-206 doi:10.2481/dsj.12-058

Schlegel, S., Böttinger, M., Hlawitschka, M. , and Scheuermann, G. (2013). Determining and Visualizing Potential Sources of Floods. EuroVis Workshop on Visualisation in Environmental Sciences, Leipzig, (2013) doi:10.2312/PE.EnvirVis.EnvirVis13.065-069

Röber, N., Salim, M., Gierisch, A., Böttinger, M. and Schlünzen, H. (2013). Visualization of Urban Micro-Climate Simulations. EuroVis Workshop on Visualisation in Environmental Sciences, Leipzig, (2013) doi:10.2312/PE.EnvirVis.EnvirVis13.053-057

Giorgetta, M., Jungclaus,J., Reick, C., Legutke, S., Bader, J., Böttinger, M., Brovkin, V., Crueger, T., Esch, M., Fieg, K., Glushak, K., Gayler, V., Haak, H., Hollweg, H.-D., Ilyina, T., Kinne, S., Kornblueh, L., Matei, D., Mauritsen, T., Mikolajewicz, U., Mueller, W., Notz, D., Pithan, F., Raddatz, T., Rast, S., Redler, R., Roeckner, E., Schmidt, H., Schnur, R., Segschneider, J., Six, K., Stockhause, M., Timmreck, C., Wegner, J., Widmann, H., Wieners, K.-H., Claussen, M., Marotzke, J., Stevens, B. (2013). Climate and carbon cycle changes from 1850 to 2100 in MPI-ESM simulations for the Coupled Model Intercomparison Project phase 5. Journal of Advances in Modeling Earth Systems doi:/10.1002/jame.20038

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S. Kindermann (2013). Data Discovery: Identifying, Searching and Finding Data. Earth System Modelling - Volume 6, pp. 21-32, SpringerBriefs in Earth System Sciences, Springer Berlin Heidelberg, ISBN 978-3-642-37243-8 doi:10.1007/978-3-642-37244-5_4

M. Lautenschlager (2013). Distributed Archives, Databases and Data Portals: The Scene. Earth System Modelling - Volume 6, pp. 5-12, SpringerBriefs in Earth System Sciences, Springer Berlin Heidelberg, ISBN 978-3-642-37243-8 doi:10.1007/978-3-642-37244-5_2

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