by Marc Rautenhaus (comments: 0)
See the gitlab repository for details.
We present this Met.3D version at this year‘s Annual Meeting of the European Meteorological Society in Barcelona, Spain:
Rautenhaus, M., Fischer, C., Vogt, T., Beckert, A., and Fuchs, S.: Towards Met.3D version 2: Rapid exploration of numerical weather prediction data by means of interactive 3-D visualization, EMS Annual Meeting 2024, Barcelona, Spain, 1–6 Sep 2024, EMS2024-946, https://doi.org/10.5194/ems2024-946, 2024.
Fischer, C., Vogt, T., Beckert, A., Fuchs, S., Radke, T., and Rautenhaus, M.: Novel 3-D and AI-based weather forecast products based on open data, EMS Annual Meeting 2024, Barcelona, Spain, 1–6 Sep 2024, EMS2024-949, https://doi.org/10.5194/ems2024-949, 2024
We are proud to announce the release of version 1.13. The version features a completely revised trajectory analysis module, improved support for open data by DWD and ECMWF, new shadows computation, and many bugfixes and small improvements.
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Version 1.12 is available, finally adding the Kern et al. (2018) jetcore detection actor to the main Met.3D version, adding a new weather radar actor that visualizes radar data from the German Weather Service, and a multitude of further improvements.
Version 1.11 is available, adding streambarbs visualization on horizontal section, improvements to the GRIB reader, an actor to display geometry data, and a multitude of further improvements.
I had the honour yesterday to present Met.3D to the public in the "alle wetter!" show on "Hessischer Rundfunk".
The interview is available here (around 7:10 min; the video is available until 24 October 2025).
Thank you so much to the "alle wetter!" team!