Assessing Runoff Risk to Support Nutrient Application Timing Using a Hybrid of Physically-based and Statistical Models—an Application of National Water Model

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ADS bibcode
2019AGUFM.H43I2106H
year
2019
Listed Authors
Hu, Y.
Fitzpatrick, L.
Goering, D.
Mason, L.
Fry, L. M.
Read, L.
Thorstensen, A.
Lofgren, B. M.
Listed Institutions
University of Michigan, Ann Arbor, MI, United States
University of Michigan, Ann Arbor, MI, United States
NOAA/NWS/North Central River Forecast Center, Chanhassen, MN, United States
Great Lakes Environmental Research Laboratory, NOAA, Ann Arbor, MI, United States
Office of Great Lakes Hydraulics and Hydrology, US Army Corps of Engineers - Detroit District, Detroit, MI, United States
University Corporation for Atmospheric Research, Boulder, United States
NOAA/NWS/North Central River Forecast Center, Chanhassen, MN, United States
Great Lakes Environmental Research Laboratory, NOAA, Ann Arbor, MI, United States

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