Abstract: Deriving and Visualizing Hydrologic Intelligence in Real-Time using NOAA’s National Water Model (AGU Fall Meeting 2018)

Deriving and Visualizing Hydrologic Intelligence in Real-Time using NOAA’s National Water Model

Monica Stone^1,2, Fernando Renzo Salas^1,3, Bradford Bates^2,4, Shawn Crawley^5,6, Graeme R Aggett⁷ and Mark Glaudemans⁸, (1)NOAA, NWS Office of Water Prediction, Tuscaloosa, AL, United States, (2)Lynker Technologies, Tuscaloosa, AL, United States, (3)UCAR, Tuscaloosa, AL, United States, (4)NOAA, Tuscaloosa, AL, United States, (5)NOAA Affiliate, Lynker, Leesburg, VA, United States, (6)Aquaveo, Tuscaloosa, AL, United States, (7)Lynker Technologies, Leesburg, VA, United States, (8)NOAA/NWS Office of Water Prediction, Geo-Intelligence Division, Silver Spring, MD, United States

Back to: Research, Development, and Evaluation of the National Water Model and Facilitation of Community Involvement III Posters