DeepWaive: Probabilistic 2D flood forecasts using a generalized hybrid model

Published in:: Abstracts of the ICA
Vol. 9.2025 (14.03.2025), art. no. 18, p. 1-2
Volume:: 9.2025
Publication date:: 14.03.2025
URN:: urn:nbn:de:0307-20250811-001-8
DOI:: 10.5194/ica-abs-9-18-2025
Language:: English
Type of Resource:: Text
Extent:: 1 Online-Ressource (Seite 1-2, 801,18 kB) : 1 Illustration, 1 Textdatei (PDF)
Keywords:: Deep Learning^GND; Hybrid Model; Flood Forecasting; Probabilistic Impact Forecasting; Hybridmodell; Hochwasservorhersage^GND; probabilistische Folgenabschätzung
DDC subject of DNB:: 520 Astronomy & allied sciences
URL:: https://doi.org/10.5194/ica-abs-9-18-2025
URL:: https://ica-abs.copernicus.org/articles/9/18/2025/
Link to Raw Object:: https://ica-abs.copernicus.org/articles/9/18/2025/ica-abs-9-18-2025.pdf
Hosting institution:: RWTH Aachen University [DE]
Statement of responsibility:: Julian Hofmann, Adrian Holt
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