Automatization and innovation in the production of severe weather warnings : insights from MeteoSwiss

Published in:: Abstracts of the ICA
Vol. 9.2025 (14.03.2025), art. no. 23, p. 1-1
Volume:: 9.2025
Publication date:: 14.03.2025
URN:: urn:nbn:de:0307-20250812-002-7
DOI:: 10.5194/ica-abs-9-23-2025
Language:: English
Type of Resource:: Text
Extent:: 1 Online-Ressource (Seite 1-1, 820,02 kB) : 1 Textdatei (PDF)
Keywords:: warnings; extreme weather identification; automatization; impact-based forecasting; Warnung^GND; Extremwetterlagen-Erkennung; Automation^GND; wirkungsorientierte Vorhersage
DDC subject of DNB:: 520 Astronomy & allied sciences
URL:: https://doi.org/10.5194/ica-abs-9-23-2025
URL:: https://ica-abs.copernicus.org/articles/9/23/2025/
Link to Raw Object:: https://ica-abs.copernicus.org/articles/9/23/2025/ica-abs-9-23-2025.pdf
Hosting institution:: Federal Office of Meteorology and Climatology MeteoSwiss [CH]
Hosting institution:: Internationale Forschungseinrichtungen
Statement of responsibility:: Irina Mahlstein, Evelyn Mühlhofer, Lea Beusch, Saskia Willemse
Bibliographic notes:: Published in: Abstracts of the ICA, Volume 9, 2025 - RIMMA2025 - International Conference on Forecasting, Preparedness, Warning, and Response. Visualization, Communication, and Information Management; 28–31 January 2025, University of Bern, Switzerland; Editors: Christophe Lienert, Andreas Paul Zischg, Horst Kremers, Jamie McCaughey, Lara Zinkl, and David N. Bresch | https://ica-abs.copernicus.org/articles/9/index.html