All IA5 Publications

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  • Vetter, M., & Olbrich, S. (in press). Development and integration of an in-situ framework for visualization of large-scale, unsteady phenomena in ICON. Journal of Supercomputing Frontiers and Innovations.
  • 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., Girolamo, P. D., 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., & Quaas, J. (2017). Large-eddy simulations over Germany using ICON: A comprehensive evaluation. Quarterly Journal of the Royal Meteorological Society, 143, 69-100. doi:10.1002/qj.2947.
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  • 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, available online. 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. In EnvirVis17: Workshop on Visualisation in Environmental Sciences. Eurographics Association. doi:10.2312/envirvis.20171099.
  • Raith, F., Röber, N., Haak, H., & Scheuermann, G. (2017). Visual Eddy Analysis of the Agulhas Current. In EnvirVis17: Workshop on Visualisation in Environmental Sciences. Eurographics Association. doi:10.2312/envirvis.20171100.
  • Vetter, M., & Olbrich, S. (2017). Efficient in-situ visualization of unsteady flows in climate simulation. Geophysical Research Abstracts, 19: EGU2017-15544.
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  • Raith, F., Scheuermann, G., & Röber, N. (2017). Visual Eddy Analysis for the Agulhas Stream Using ICON Climate Simulation Data. Geophysical Research Abstracts, 19: EGU2017-19162.
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  • Böttinger, M., Eyring, V., Lauer, A., & Meier-Fleischer, K. (2017). Visualizing projected Climate Changes - the CMIP5 Multi-Model Ensemble. In Geophysical Research Abstracts (pp. EGU2017-16169-1).
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  • Huettenberger, L., Feige, K., Böttinger, M., & Garth, C. (in press). Analyzing Climate Simulation Ensembles Using Pareto Sets. In IEEE Vis2017, Visualization in Practice Workshop.
  • Jubair, M. I., Alim, U., Röber, N., Clyne, J., & Mahdavi-Amiri, A. (2016). Icosahedral Maps for a Multiresolution Representation of Earth Data. In VMV: Vision, Modeling and Visualization 2016. Eurographics Association. doi:10.2312/vmv.20161355.
  • Vetter, M., & Olbrich, S. (2016). Efficient visualization of unsteady and huge scalar and vector fields. Geophysical Research Abstracts, 18: EGU2016-14978.
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  • Röber, N., Spickermann, D., & Böttinger, M. (2016). 3D visualization of ultra-fine ICON climate simulation data. Geophysical Research Abstracts, 18: EGU2016-16253.
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  • Röber, N., Salim, M., Grawe, D., Leitl, B., Schlünzen, H., & Böttinger, M. (2016). Comparative visual analysis of 3D urban wind simulations. Geophysical Research Abstracts, 18: EGU2016-16039.
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  • Brisc, F., Vater, S., & Behrens, J. (2016). The UGRID Reader - A ParaView Plugin for the Visualization of Unstructured Climate Model Data in NetCDF Format. Geophysical Research Abstracts, 18: EGU2016-6414.
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  • Meier-Fleischer, K., Böttinger, M., Röber, N., & Pohlmann, H. (2016). Visual Analysis of time-dependent 2D Uncertainties in Decadal Climate Predictions. Geophysical Research Abstracts, 18: EGU2016-8227.
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  • Böttinger, M., Pohlmann, H., Röber, N., Meier-Fleischer, K., & Spickermann, D. (2015). Visualization of 2D uncertainty in decadal climate predictions. In EuroVis Workshop on Visualization in Environmental Sciences (EnvirVis 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 ONE, 10: UNSP e0123811. doi:10.1371/journal.pone.0123811.
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  • Spickermann, D., Böttinger, M., Ahmed, K. A., & Gajewski, D. (2015). Visualization of volumetric seismic data. Geophysical Research Abstracts, 17: EGU2015-15328.
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  • Röber, N., Adamidis, P., & Behrens, J. (2015). Visualization and Analysis of Climate Simulation Performance Data. Geophysical Research Abstracts, 17: EGU2015-15318.
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  • Meier-Fleischer, K., Böttinger, M., & Haley, M. (2015). NCL - a workhorse for data analysis and visualization in climate research. Geophysical Research Abstracts, 17: EGU2015-15373-1.
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