Advancing global hydrologic modeling with the GEOGloWS ECMWF streamflow service

Advancing global hydrologic modeling with the GEOGloWS ECMWF streamflow service

Abstract Most people face some level of water insecurity. Wise water management practices to address water security issues typically require data derived from a combination of observation and model data. This data has historically proven difficult to sustainably supply in many areas of the world. We...

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Bibliographic Details
Main Authors: Riley C. Hales, E. James Nelson, Michael Souffront, Angelica L. Gutierrez, Christel Prudhomme, Steve Kopp, Daniel P. Ames, Gustavious P. Williams, Norman L. Jones
Format: Article
Language:English
Published: Wiley 2025-03-01
Series:Journal of Flood Risk Management
Subjects:
forecasting and warning
hydrological modeling
statistical methods
sustainability
Online Access:https://doi.org/10.1111/jfr3.12859
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https://doi.org/10.1111/jfr3.12859

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