Development of a Framework to Predict Edge-of-Field Runoff Risk Using a Continental Scale Operational Hydrological Model Combined with Data Driven Modeling Approaches

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    W[2021AGUFM.H55U0972F]
    LA["Linked Authors (3)"]
    LI["Linked Institutions (4)"]
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ADS bibcode
2021AGUFM.H55U0972F
year
2021
Listed Authors
Fry, Lauren
Hu, Yao
Mazrooei, Amir
Fitzpatrick, Lindsay
Ford, Chanse
Read, Laura
Mason, Lacey
Yates, David
Goering, Dustin
Listed Institutions
NOAA Great Lakes Environmental Research Laboratory, Ann Arbor, United States
University of Delaware, Newark, United States
National Center for Atmospheric Research, Boulder, United States
Cooperative Institute for Great Lakes Research, Ann Arbor, United States
Michigan State University, East Lansing, United States
National Center for Atmospheric Research, Boulder, United States
NOAA, Ann Arbor, United States
National Center for Atmospheric Research, Boulder, United States
NOAA/NWS/North Central River Forecast Center, Chanhassen, United States

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