Dr. Marc Rautenhaus

We have topics for student projects in computer science/meteorology/geosciences available (B.Sc./M.Sc. theses etc.) in the Visual Data Analysis Group. If you are interested in issues concerning visual data analysis, in particular with application to geoscientific challenges (e.g., weather forecasting, climate research), please contact us. Topics cover a range of computer graphics, data analysis and visualization issues, including, e.g., 3D rendering and uncertainty visualization. They mostly include work with our open-source 3D ensemble visualization tool "Met.3D".

I am investigating application-oriented aspects of visualization and visual data analysis. With a background in both computer science and atmospheric science, my focus so far has been on visualization in meteorology, in particular focussing on interactive 2D and 3D visual analysis methods for ensemble weather forecast and other numerical atmospheric simulation data. My interests include interactive and 3D visualization, in particular for analysis of uncertainty and feature-based data analysis. The main software framework for my research is "Met.3D", a novel meteorological visualization package that that is used and extended in a number of research projects (see below).

I am the creator and maintainer of the meteorological 3D ensemble visualization software "Met.3D", a new software package that facilitates interactive 3D visualization of numerical ensemble weather predictions and other meteorological simulation and observation data. The software is actively developed at RRZ and at the Computer Graphics and Visualization Group at the Technical University of Munich and plays a central role in the DFG collaborative research centre "Waves to Weather".

Met.3D website:  https://met3d.wavestoweather.de
Met.3D online documentation: https://collaboration.cen.uni-hamburg.de/display/Met3D/
Met.3D on Twitter: https://twitter.com/Met_3D
Met.3D open-source repository:  https://gitlab.com/wxmetvis/met.3d

I have also created the "Mission Support System" (MSS), a Web Map Service based visualization tool that is used for weather forecasting and flight planning during aircraft based atmospheric research campaigns. The software is developed and maintained in cooperation with colleagues from Forschungszentrum Jülich and Deutsches Zentrum für Luft- und Raumfahrt.

MSS documentation:  https://mss.readthedocs.org
MSS open-source repository:  https://bitbucket.org/wxmetvis/mss

Interactive 3D visualization of ensemble weather forecasts
M. Rautenhaus
Ph.D. thesis,  Technical University of Munich, Munich, Germany, 195pp., 2015

Neural network satellite retrievals of nocturnal stratocumulus cloud properties
M. Rautenhaus
M.Sc. thesis,  University of British Columbia, Vancouver, Canada, 169pp., 2007