Advancing global hydrologic modeling with the GEOGloWS ECMWF streamflow service

Details

• Journal Title:
  Journal of Flood Risk Management
• Personal Author:
  Hales, Riley C. ; Nelson, E. James ; Souffront, Michael ; Gutierrez, Angelica L. ; Prudhomme, Christel ; Kopp, Steve ; Ames, Daniel P. ; Williams, Gustavious P. ; Jones, Norman L.
• NOAA Program & Office:
  NWS (National Weather Service) ; OWP (Office of Water Prediction)
• 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)
• Keywords:
  • Water Science and Technology
  • Safety, Risk, Reliability and Quality
  • Geography, Planning and Development
  • Environmental Engineering
• Source:
  Journal of Flood Risk Management (2022)
• DOI:
  https://doi.org/10.1111/jfr3.12859
• ISSN:
  1753-318X ; 1753-318X
• Format:
  PDF
• Publisher:
  Wiley
• Document Type:
  Journal Article
• License:
  https://creativecommons.org/licenses/by-nc-nd/4.0/
• Rights Information:
  CC BY-NC-ND
• Compliance:
  Library
• Download URL:
  https://repository.library.noaa.gov/view/noaa/53328/noaa_53328_DS1.pdf
• File Type:
  [PDF - 8.90 MB]
• Collection(s):
  National Weather Service (NWS)
• Main Document Checksum:
  urn:sha256:78eccdf8ea0b40eebbe79d13a169a4e5509938584c8d24daadd1cb279ecc11ac