Representing Anthropogenic Processes in the National Water Model: A Persistence Approach to Reservoir Operations

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    W[2019AGUFM.H43I2113F]
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    LI["Linked Institutions (4)"]
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ADS bibcode
2019AGUFM.H43I2113F
year
2019
Listed Authors
Frazier, N. J.
Rezaeianzadeh, M.
Mattern, D.
Cosgrove, B.
Flowers, T.
Salas, F. R.
Read, L.
Liu, Y.
Wu, W.
Johnson, D. W.
Khan, S.
Sampson, K. M.
Casali, M.
Aggett, G. R.
Listed Institutions
NOAA Affiliate, CyberData Technologies, Office of Water Prediction, National Water Center, Tuscaloosa, AL, United States
NOAA Affiliate, Lynker, NOAA/NWS Office of Water Prediction, Tuscaloosa, AL, United States
NOAA Affiliate, Lynker Technologies, Office of Water Prediction, Tuscaloosa, AL, United States
NOAA/NWS/OHD, Silver Spring, MD, United States
NOAA/NWS Office of Water Prediction, National Water Center, Tuscaloosa, AL, United States
UCAR/NOAA National Water Center, Tuscaloosa, AL, United States
University Corporation for Atmospheric Research, Boulder, United States
NOAA/NWS/OWP, Silver Spring, MD, United States
NOAA/NWS/OHD-Hydrology Lab, Silver Spring, MD, United States
NOAA Affiliate, CyberData Technologies, Office of Water Prediction, National Water Center, Analysis and Prediction Division, Tuscaloosa, AL, United States
NOAA/NWS/NWC, Tuscaloosa, AL, United States
National Center for Atmospheric Research, Boulder, CO, United States
University Corporation for Atmospheric Research, Boulder, United States
Lynker Technologies, Boulder, CO, United States

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