Long short-term memory networks for enhancing real-time flood forecasts: a case study for an underperforming hydrologic model

Long short-term memory networks for enhancing real-time flood forecasts: a case study for an underperforming hydrologic model

<p>Flood forecasting systems play a key role in mitigating socioeconomic damage caused by flood events. The majority of these systems rely on process-based hydrologic models (PBHMs), which are used to predict future runoff. Many operational flood forecasting systems additionally implement mode...

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Bibliographic Details
Main Authors:	S. Gegenleithner, M. Pirker, C. Dorfmann, R. Kern, J. Schneider
Format:	Article
Language:	English
Published:	Copernicus Publications 2025-04-01
Series:	Hydrology and Earth System Sciences
Online Access:	https://hess.copernicus.org/articles/29/1939/2025/hess-29-1939-2025.pdf
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