Advancing global hydrologic modeling with the GEOGloWS ECMWF streamflow service
Supporting Files
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2022
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Details
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Journal Title:Journal of Flood Risk Management
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Personal Author:
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NOAA Program & Office:
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Description:Most people face some level of water insecurity. Wise water management prac- tices to address water security issues typically require data derived from a com- bination of observation and model data. This data has historically proven difficult to sustainably supply in many areas of the world. We present the design and development of a global, modeled streamflow data source for the Group on Earth Observation (GEO) Global Water Sustainability (GEOGloWS)
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Keywords:Environmental Engineering Geography, Planning And Development Safety, Risk, Reliability And Quality Water Science And Technology Geography, Planning And Development Safety, Risk, Reliability And Quality Water Science And Technology Geography, Planning And Development Safety, Risk, Reliability And Quality Water Science And Technology
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Source:Journal of Flood Risk Management (2022)
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DOI:
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ISSN:1753-318X ; 1753-318X
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Format:
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Publisher:
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Document Type:
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License:
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Rights Information:CC BY-NC-ND
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Compliance:Library
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Main Document Checksum:urn:sha256:78eccdf8ea0b40eebbe79d13a169a4e5509938584c8d24daadd1cb279ecc11ac
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Download URL:
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Supporting Files
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