Michael Böttinger

Abteilung:

Anwendungen

Zuständigkeit:

Visualisierung & Öffentlichkeitsarbeit

Raum:

209

Telefon:

+49 40 460094 - 344

E-Mail:

Ym9ldHRpbmdlckBka3J6LmRl

Adresse:

Bundesstraße 45a, 20146 Hamburg, Deutschland

Arbeitsbereich

Leiter Visualisierung und Öffentlichkeitsarbeit

Hintergrund

Geophysik

ORCID Id: https://orcid.org/0000-0001-9704-8235

Veröffentlichungen

Vietinghoff, D. , Böttinger, M., Scheuermann, G. and Heine, C. (2023). A Mathematical Foundation for the Spatial Uncertainty of Critical Points in Probabilistic Scalar Fields . 2023 Topological Data Analysis and Visualization (TopoInVis), Melbourne, Australia, 2023, pp. 30-40 doi:10.1109/TopoInVis60193.2023.00010

Evers, M., Böttinger, M., Linsen, L. (2023). Interactive Visual Analysis of Regional Time Series Correlation in Multi-field Climate Ensembles . Workshop on Visualisation in Environmental Sciences (EnvirVis) (2023), S. Dutta, K. Feige, K. Rink, and D. Zeckzer (Editors) doi:10.2312/envirvis.20231108

Vietinghoff, D., Böttinger, M., Scheuermann G. and Heine, C. (2022). Visualizing Confidence Intervals for Critical Point Probabilities in 2D Scalar Field Ensembles. 2022 IEEE Visualization and Visual Analytics (VIS), Oklahoma City, OK, USA, 2022, pp. 145-149 doi: 10.1109/VIS54862.2022.00038

Vietinghoff, D., Böttinger, M., Scheuermann, G. and Heine, C,. (2022). Detecting Critical Points in 2D Scalar Field Ensembles Using Bayesian Inference. 2022 IEEE 15th Pacific Visualization Symposium (PacificVis), 2022, pp. 1-10, doi:10.1109/PacificVis53943.2022.00009.

Kappe, C., Böttinger, M. and Leitte, H. (2022). Topology-based feature analysis of scalar field ensembles: An application to climate (change) analysis. Computers & Graphics, Volume 104 (2022), pp. 59–71, Elsevier. doi:10.1016/j.cag.2022.03.004

Nardini, P., Chen, M., Böttinger, M., Scheuermann, G., and Bujack, R. (2021). Automatic Improvement of Continuous Colormaps in Euclidean Colorspaces. Computer Graphics Forum, The Eurographics Association and John Wiley & Sons Ltd., Volume 40 (2021), Number 3 doi:10.1111/cgf.14313

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

Röber, N., Böttinger, M., and Stevens, B. (2021): Visualization of Climate Science Simulation Data. IEEE Computer Graphics and Applications, vol. 41, no. 01, pp. 42-48, 2021. doi: 10.1109/MCG.2020.3043987

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

Böttinger, M., Kostis HN., Velez-Rojas M., Rheingans P., Ynnerman A.(2020). Reflections on Visualization for Broad Audiences. In: Chen M., Hauser H., Rheingans P., Scheuermann G. (eds); Foundations of Data Visualization. Springer, Cham., 297-305, doi:10.1007/978-3-030-34444-3_16

Böttinger, Michael (2020). Reaching Broad Audiences from a Research Institute Setting. In: Chen M., Hauser H., Rheingans P., Scheuermann G. (eds); Foundations of Data Visualization. Springer, Cham., 307-318, doi:10.1007/978-3-030-34444-3_17

Böttinger, M., Kostis, H.-N., Ynnerman, A. (2020). Challenges and Open Issues in Visualization for Broad Audiences. In: Chen M., Hauser H., Rheingans P., Scheuermann G. (eds); Foundations of Data Visualization. Springer, Cham., 381-389, doi:10.1007/978-3-030-34444-3_21

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, in Computer Graphics Forum, 39, Issue 3, The Eurographics Association and John Wiley & Sons Ltd. doi:10.1111/cgf.13983

Nardini, P., Chen, M., Samsel, F., Bujack, R., Böttinger, M. and Scheuermann, G. (2019). The Making of Continuous Colormaps, in IEEE Transactions on Visualization and Computer Graphics, doi:10.1109/TVCG.2019.2961674

Röber, Niklas, & Böttinger, Michael (2019). Visuelle Analyse großer Daten in der Klimaforschung. Informatik Spektrum (2019). doi:10.1007/s00287-019-01222-w

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

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

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

Nardini, P., Böttinger, M., Pogrzeba, H., Siegfried, L., Schmidt, M., and Scheuermann, G. (2018): Numerical Evaluation of Pathline Predicates of the Benguela Upwelling System, in: LEVIA 2018: Leipzig Symposium on Visualization in Applications, Hrsg. Jänicke, S., Hotz, I . and Liu, S., http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa2-328052,

Kappe, C. P., Böttinger M., and Leitte, H. (2018): Exploring Variability within Ensembles of Decadal Climate Predictions, IEEE Transactions on Visualization and Computer Graphics, vol. 25, no. 3, pp. 1499-1512, 1 March 2019, doi:10.1109/TVCG.2018.2810919

Rautenhaus, M., Böttinger, M., Siemen, S., Hoffman, R., Kirby, R. M., Mirzargar, M., Röber, N., and Westermann, R. (2017): Visualization in Meteorology – A Survey of Techniques and Tools for Data Analysis Tasks, IEEE Transactions on Visualization and Computer Graphics, vol. 24, no. 12, pp. 3268-3296, 1 Dec. 2018. doi:10.1109/TVCG.2017.2779501

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

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

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)

Böttinger, M., Pohlmann, H., Röber, N., Meier-Fleischer, K., Spickermann, D. (2015): Visualization of 2D Uncertainty in Decadal Climate Predictions, EuroVis Workshop on Visualisation in Environmental Sciences (EnvirVis), Cagliari, (2015), (DOI: 10.2312/envirvis.20151083)

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.012381)

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)

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

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

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

Jänicke, H., Böttinger, M., Mikolajewicz, U. and Scheuermann, G. (2009): Visual Exploration of Climate Variability Changes Using Wavelet Analysis, IEEE Transactions on Visualization and Computer Graphics, vol. 15, no. 6, pp.1375-1382, 2009. (special issue IEEE Visualization 2009), doi:10.1109/TVCG.2009.197

Nocke, T.; Sterzel, T.; Böttinger, M.; Wrobel, M. (2008): Visualization of Climate and Climate Change Data: An Overview, in Ehlers et al. (Eds.): Digital Earth Summit on Geoinformatics 2008: Tools for Global Change Research , Wichmann, Heidelberg, pp. 226-232, 2008 (pdf)

Jänicke, H., Böttinger, M., and Scheuermann, G. (2008): Brushing of Attribute Clouds for the Visualization of Multivariate Data, IEEE Transactions on Visualization and Computer Graphics (Proceedings Visualization / Information Visualization 2008), Volume 14, No. 6, pp. 1459-1466, doi:10.1109/TVCG.2008.116

Jänicke, H., Böttinger, M., Tricoche, X., and Scheuermann, G. (2008): Automatic Detection and Visualization of Distinctive Structures in 3D Unsteady Multi-Fields, Computer Graphics Forum 27(3):767-774, May 2008. doi:10.1111/j.1467-8659.2008.01206.x

Böttinger, M. (2007): Klimaänderung im Bild –- Simulation und Visualisierung in der Erdsystemforschung, GIS Zeitschrift für Geoinformatik, 7/2007: 22-30, 2007

Cuntz, N.,Leidl, M., Kolb, A., Rezk-Salama, C., Böttinger, M. (2007): GPU-based Dynamic Flow Visualization for Climate Research Applications, in: Proc. Simulation and Visualization, March, 2007 (pdf)

Rivalta, E.; Boettinger, M.; Dahm, T.(2005): Buoyancy-driven fracture ascent: Experiments in layered gelatine, Journal of Volcanology and Geothermal Research, 144,pp.273-285. doi:10.1016/j.jvolgeores.2004.11.030

Hibbard, B., Böttinger, M., Schultz, M. , and Biercamp, J. (2002): Visualization in Earth System Science. ACM SIGGRAPH Comput.Graph., 36(4):5-9, 2002. doi:10.1145/637357.637361 (pdf)

Böttinger, M., Gülzow, V., J. Biercamp, J. (1998): Visualisierung als Werkzeug zur Analyse von Klimasimulationsdaten, in H.-D. Haasis, K.C. Ranze (Hg.): Umweltinformatik '98: Vernetzte Strukturen in Informatik, Umwelt und Wirtschaft, (pdf)

Cubasch, U., Santer, B. D., Maier-Reimer, E., and Böttinger, M., 1990: Sensitivity of a global ocean atmosphere circulation model to a doubling of carbon dioxide. In: Science and Engineering on Supercomputers; E. J. Pitcher (ed.), Computational Mechanics Publ., Springer, Southampton, 347-352.