All IA5 Publications

Print all
  • Brisc, F., Hartmann, J., & Moosdorf, N. (2018). Web-Based Interactive Visualization Of A High Resolution Global Lithological Map. Geophysical Research Abstracts, 20: 15042. Retrieved from https://meetingorganizer.copernicus.org/EGU2018/EGU2018-15042.pdf.
    PDF
  • Vetter, M., & Olbrich, S. (2017). Development and integration of an in-situ framework for visualization of large-scale, unsteady phenomena in ICON. Journal of Supercomputing Frontiers and Innovations, 4, 55-67. doi:10.14529/jsfi170303.
    PDF
  • 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.
    PDF
  • 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.
  • 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.
  • 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.
  • 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.
    PDF
  • Häb, K., Schweitzer, S., Fern ́andez Prieto, D., Hagen, E., Engel, D., Böttinger, M., & Scheler, I. (2014). Visualization of Building Performance Simulation Results: State-of-the-Art and Future Directions. In IEEE Pacific Visualization Symposium (PacificVis) (pp. 311-315). doi:10.1109/PacificVis.2014.34.
  • Giorgetta, M. A., Jungclaus, J. H., Reick, C. H., 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. A., 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, 5, 572-597. doi:10.1002/jame.20038.
    PDF
  • Röber, N., Salim, M., Gierisch, A., Böttinger, M., & Schlünzen, H. (2013). Visualization of Urban Micro-Climate Simulations. EnvirVis13. doi:10.2312/PE.EnvirVis.EnvirVis13.053-057.
  • Schlegel, S., Böttinger, M., Hlawitschka, M., & Scheuermann, G. (2013). Determining and Visualizing Potential Sources of Floods. In EnvirVis13. doi:10.2312/PE.EnvirVis.EnvirVis13.065-069.
  • Vetter, M., & Olbrich, S. (2012). Hybrid Parallel Streamline Extraction Combining MPI and OpenCL. In Proceedings of IEEE Symposium on Large-Scale Data Analysis and Visualization (LDAV 2012).
    PDF
  • 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.
    PDF
  • Vetter, M., & Olbrich, S. (2017). Efficient in-situ visualization of unsteady flows in climate simulation. Geophysical Research Abstracts, 19: EGU2017-15544.
    PDF
  • Röber, N., Meier-Fleischer, K., & Böttinger, M. (2014). Comparative Visualization of Climate Simulation Data. Geophysical Research Abstracts, 16: EGU2014-13927.
    PDF
  • 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.
  • Böttinger, M., Röber, N., Spickermann, D., & Polkova, I. (2015). Forecast Skill Visualization in Climate Research. Geophysical Research Abstracts, 17: EGU2015-15360-1.
    PDF
  • Huettenberger, L., Feige, K., Böttinger, M., & Garth, C. (in press). Analyzing Climate Simulation Ensembles Using Pareto Sets. In IEEE Vis2017, Visualization in Practice Workshop.
  • Kunkel, J. M., Kuhn, M., & Ludwig, T. (2014). Exascale storage systems - an analytical study of expenses. Supercomputer Frontiers and Innovations, 1, 116-134.

Related Publication (CliSAP 1, 2007-2012)

Print all
  • Vetter, M., & Olbrich, S. (2012). Hybrid Parallel Streamline Extraction Combining MPI and OpenCL. In Proceedings of IEEE Symposium on Large-Scale Data Analysis and Visualization (LDAV 2012).
    PDF