Version 1.13 released

by Marc Rautenhaus (comments: 0)

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.

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

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BAMS article on how 3-D analysis with Met.3D revealed midlatitude overshooting convection during the CIRRUS-HL field experiment

By Marc Rautenhaus, (comments: 0)

Our article on how 3-D analysis with Met.3D revealed midlatitude overshooting convection during the CIRRUS-HL field experiment has just been published in the Bulletin of the American Meteorological Society: https://doi.org/10.1175/BAMS-D-22-0103.1

Also watch the video: https://doi.org/10.1175/BAMS-D-22-0103.2