About Met.3D: Publications, presentations, credits
About Met.3D
Met.3D is being developed as a research effort to improve the visualization of 3-D meteorological data in research and forecasting.
Met.3D is developed at the Regional Computing Center of Universität Hamburg (UHH) and at the Computing Graphics & Visualization Group of the Technical University of Munich (TUM), Germany. Since 2015, we receive ongoing funding from the German Research Foundation (DFG) within the Collaborative Research Centre SFB/TRR 165 Waves to Weather and the UHH Cluster of Excellence CLICCS. Previously, the development was partly funded by the European Union under the ERC Advanced Grant 291372 SaferVis and the ERC Proof-of-Concept Grant “Vis4Weather”.
Met.3D research and development is led by Marc Rautenhaus, UHH (previously TUM).
The entry point to information about Met.3D is the reference publication. Also, Marc’s PhD thesis contains additional details.
Rautenhaus, M., Kern, M., Schäfler, A., and Westermann, R.: Three-dimensional visualization of ensemble weather forecasts – Part 1: The visualization tool Met.3D (version 1.0), Geosci. Model Dev., 8, 2329-2353, doi:10.5194/gmd-8-2329-2015, 2015.
Rautenhaus, M.: Interactive 3D visualization of ensemble weather forecasts, Ph.D. thesis, Technical University of Munich, Munich, Germany, 195pp., 2015.
Publications
The following (likely incomplete) list contains scientific publications that are using Met.3D for development, evaluation, or use of new visualization techniques in meteorology.
If you have used Met.3D for a publication please let us know so we can add your paper to the list!
2023
Schäfler, A. and Rautenhaus, M.: Interactive 3D Visual Analysis of Weather Prediction Data Reveals Midlatitude Overshooting Convection during the CIRRUS-HL Field Experiment, Bulletin of the American Meteorological Society, 104, E142-6E1434, URL http://doi.org/10.1175/BAMS-D-22-0103.1, 2023
Neuhauser, C., Hieronymus, M., Kern, M., Rautenhaus, M., Oertel, A., and Westermann, R.: Visual Analysis of Model Parameter Sensitivities along Warm Conveyor Belt Trajectories Using Met.3D (1.6.0-Multivar1), Geoscientific Model Development, 16, 4617-4638, URL http://doi.org/10.5194/gmd-16-4617-2023, 2023
Beckert, A. A., Eisenstein, L., Oertel, A., Hewson, T., Craig, G. C., and Rautenhaus, M.: The Three-Dimensional Structure of Fronts in Mid-Latitude Weather Systems in Numerical Weather Prediction Models, Geoscientific Model Development, 16, 4427-4450, URL http://doi.org/10.5194/gmd-16-4427-2023, 2023
2022
Fischer, C., Fink, A. H., Schömer, E., van der Linden, R., Maier-Gerber, M., Rautenhaus, M., and Riemer, M.: A Novel Method for Objective Identification of 3-D Potential Vorticity Anomalies, Geoscientific Model Development, 15, 4447-4468, URL http://doi.org/10.5194/gmd-15-4447-2022, 2022
2021
Meyer, M., Polkova, I., Modali, K. R., Schaffer, L., Baehr, J., Olbrich, S., and Rautenhaus, M.: Interactive 3-D Visual Analysis of ERA5 Data: Improving Diagnostic Indices for Marine Cold Air Outbreaks and Polar Lows, Weather and Climate Dynamics, 2, 867-891, URL http://doi.org/10.5194/wcd-2-867-2021, 2021
2020
Schäfler, A., Ewald, F., and Rautenhaus, M.: Die Vermessung von Zyklonen (Observing Cyclones), promet (German Weather Service DWD), 103, 25-32, URL https://www.dwd.de/DE/leistungen/pbfb_verlag_promet/pdf_promethefte/103_pdf.pdf?__blob=publicationFile&v=2, 2020
Rautenhaus, M., Hewson, T., and Lang, A.: Cyclone Workshop showcases 3D visualisation, ECMWF Newsletter, 162, 4-5, URL http://www.ecmwf.int/en/newsletter/162/news/cyclone-workshop-showcases3d-visualisation, 2020
Eisenstein, L, Pantillon, F, Knippertz, P.: Dynamics of sting-jet storm Egon over continental Europe: Impact of surface properties and model resolution. Q J R Meteorol Soc., 146: 186-210, URL https://doi.org/10.1002/qj.3666, 2020
2019
Kern, M., Hewson, T., Schäfler, A., Westermann, R., and Rautenhaus, M.: Interactive 3D Visual Analysis of Atmospheric Fronts, IEEE Trans. Visual. Comput. Graphics, 25, 1080-1090, URL http://doi.org/10.1109/TVCG.2018.2864806, 2019
Kumpf, A., Rautenhaus, M., Riemer, M., and Westermann, R.: Visual Analysis of the Temporal Evolution of Ensemble Forecast Sensitivities, IEEE Trans. Visual. Comput. Graphics, 25, 98-108, URL http://doi.org/10.1109/TVCG.2018.2864901, 2019
2018
Rautenhaus, M., Böttinger, M., Siemen, S., Hoffman, R., Kirby, R. M., Mirzargar, M., Röber, N., and Westermann, R.: Visualization in Meteorology — A Survey of Techniques and Tools for Data Analysis Tasks, IEEE Trans. Visual. Comput. Graphics, 24, 3268-3296, URL http://dx.doi.org/10.1109/tvcg.2017.2779501, 2018
Schäfler, A., Craig, G., Wernli, H., Arbogast, P., Doyle, J. D., McTaggart-Cowan, R., Methven, J., Rivière, G., Ament, F., Boettcher, M., Bramberger, M., Cazenave, Q., Cotton, R., Crewell, S., Delanoë, J., Dörnbrack, A., Ehrlich, A., Ewald, F., Fix, A., Grams, C. M., Gray, S. L., Grob, H., Groß, S., Hagen, M., Harvey, B., Hirsch, L., Jacob, M., Kölling, T., Konow, H., Lemmerz, C., Lux, O., Magnusson, L., Mayer, B., Mech, M., Moore, R., Pelon, J., Quinting, J., Rahm, S., Rapp, M., Rautenhaus, M., Reitebuch, O., Reynolds, C. A., Sodemann, H., Spengler, T., Vaughan, G., Wendisch, M., Wirth, M., Witschas, B., Wolf, K., and Zinner, T.: The North Atlantic Waveguide and Downstream Impact Experiment, Bull. American Meteor. Soc., 99, 1607-1637, URL http://dx.doi.org/10.1175/BAMS-D-17-0003.1, 2018
Kern, M., Hewson, T., Sadlo, F., Westermann, R., and Rautenhaus, M.: Robust Detection and Visualization of Jet-stream Core Lines in Atmospheric Flow, IEEE Trans. Visual. Comput. Graphics, 24, 893-902, URL http://dx.doi.org/10.1109/tvcg.2017.2743989, 2018
Kumpf, A., Tost, B., Baumgart, M., Riemer, M., Westermann, R., and Rautenhaus, M.: Visualizing Confidence in Cluster-based Ensemble Weather Forecast Analyses, IEEE Trans. Visual. Comput. Graphics, 24, 109-119, URL http://dx.doi.org/10.1109/tvcg.2017.2745178, 2018
2017
Ferstl, F., Kanzler, M., Rautenhaus, M., and Westermann, R.: Time-hierarchical Clustering and Visualization of Weather Forecast Ensembles, IEEE Trans. Visual. Comput. Graphics, 23, 831-840, URL http://dx.doi.org/10.1109/tvcg.2016.2598868, 2017
2015
Rautenhaus, M., Kern, M., Schäfler, A., and Westermann, R.: Three-dimensional visualization of ensemble weather forecasts - Part 1: The visualization tool Met.3D (version 1.0), Geoscientific Model Development, 8, 2329-2353, URL http://dx.doi.org/10.5194/gmd-8-2329-2015, 2015
Rautenhaus, M., Grams, C. M., Schäfler, A., and Westermann, R.: Three-dimensional visualization of ensemble weather forecasts - Part 2: Forecasting warm conveyor belt situations for aircraft-based field campaigns, Geosci. Model Dev., 8, 2355-2377, URL http://dx.doi.org/10.5194/gmd-8-2355-2015, 2015
2014
Rautenhaus, M., Grams, G., Schäfler, A., and Westermann, R.: GPU based interactive 3D visualization of ECMWF ensemble forecasts, ECMWF Newsletter, vol. 138 (Winter 2014), 34-38, URL http://dx.doi.org/10.21957/ouo7uwp2, 2014
Presentations
A very incomplete list of publicly available presentations on Met.3D:
2022
Met.3D: Interactive 3D visualization for rapid exploration of atmospheric ensemble simulation data (Recording), Using ECMWF’s Forecasts (UEF2022), 7-10 June 2022, Reading, UK.
2019
Is it time for interactivity and 3D? New approaches to analysing NWP data for observational campaigns using 3D and ensemble visualization, Workshop on observational campaigns for better weather forecasts, 10-13 June 2019, ECMWF, Reading, UK.
2018
Using Met3D at ECMWF, 29th European Working Group on Operational Meteorological Workstations (EGOWS), 15-17 October 2018, ECMWF, Reading, UK
2017
Ensemble and 3D visualization with Met.3D - recent research and software updates, 16th Workshop on Meteorological Operational Systems (MOS), 1-3 March 2017, ECWMF, Reading, UK. Video available.
2015
Interactive 3D visualization of ECMWF ensemble weather predictions, Visualisation in Meteorology week 2015, 28 September - 2 October 2015, ECMWF, Reading, UK.
Credits
The Met.3D core development team currently consists of:
Marc Rautenhaus, UHH
Andreas Beckert, UHH
Thorwin Vogt, UHH
Christoph Fischer, UHH
We acknowledge the following individuals for their contribution:
Susanne Fuchs, UHH
Kamesh Modali, UHH (former core member - many thanks!)
Justus Jakobi, UHH student
Alexander Klassen, UHH student
Jonas Lefert, UHH student
Marcel Meyer, UHH
Michael Kern, TUM (former core member - many thanks!)
Alexander Kumpf, TUM (former core member - many thanks!)
Bianca Tost, TUM (former core member - many thanks!)
Mathias Kanzler, TUM
Florian Ferstl, TUM
Fabian Schöttl, TUM student
Christoph Heidelmann, TUM student
Florian Hauer, TUM student
Max Bandle, TUM student
Jessica Blankenburg, TUM student
Raphael Kriegmair, LMU student
Philipp Kaiser, TUM student
Theresa Diefenbach, LMU student
Robert Redl, LMU
Alexander Thole, TUM student
We acknowledge support from ECMWF, in particular by Tim Hewson and Stephan Siemen and his group. Access to ECMWF data for our work has been kindly provided in the context of the ECMWF special project “Support Tool for HALO Missions”.