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    Application of Machine Learning Techniques to Improve Multi-Radar Multi-Sensor (MRMS) Precipitation Estimates in the Western United States 

    Source: Artificial Intelligence for the Earth Systems:;2023:;volume( 002 ):;issue: 002
    Author(s): Osborne, Andrew P.; Zhang, Jian; Simpson, Micheal J.; Howard, Kenneth W.; Cocks, Stephen B.
    Publisher: American Meteorological Society
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    The Historic Rainfalls of Hurricanes Harvey and Florence: A Perspective from the Multi-Radar Multi-Sensor System 

    Source: Journal of Hydrometeorology:;2021:;volume( 022 ):;issue: 003:;page 721
    Author(s): Martinaitis, Steven M.;Cocks, Stephen B.;Osborne, Andrew P.;Simpson, Micheal J.;Tang, Lin;Zhang, Jian;Howard, Kenneth W.
    Publisher: American Meteorological Society
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    Application of Machine Learning Techniques to Improve Multi-Radar Multi-Sensor (MRMS) Precipitation Estimates in the Western United States 

    Source: Artificial Intelligence for the Earth Systems:;2023:;volume( 002 ):;issue: 002
    Author(s): Osborne, Andrew P.; Zhang, Jian; Simpson, Micheal J.; Howard, Kenneth W.; Cocks, Stephen B.
    Publisher: American Meteorological Society
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    Advancements and Characteristics of Gauge Ingest and Quality Control within the Multi-Radar Multi-Sensor System 

    Source: Journal of Hydrometeorology:;2021:;volume( 022 ):;issue: 009:;page 2455
    Author(s): Martinaitis, Steven M.;Cocks, Stephen B.;Simpson, Micheal J.;Osborne, Andrew P.;Harkema, Sebastian S.;Grams, Heather M.;Zhang, Jian;Howard, Kenneth W.
    Publisher: American Meteorological Society
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    A Physically Based Multisensor Quantitative Precipitation Estimation Approach for Gap-Filling Radar Coverage 

    Source: Journal of Hydrometeorology:;2020:;volume( 021 ):;issue: 007:;page 1485
    Author(s): Martinaitis, Steven M.;Osborne, Andrew P.;Simpson, Micheal J.;Zhang, Jian;Howard, Kenneth W.;Cocks, Stephen B.;Arthur, Ami;Langston, Carrie;Kaney, Brian T.
    Publisher: American Meteorological Society
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