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

dc.contributor.authorOsborne, Andrew P.
dc.contributor.authorZhang, Jian
dc.contributor.authorSimpson, Micheal J.
dc.contributor.authorHoward, Kenneth W.
dc.contributor.authorCocks, Stephen B.
dc.date.accessioned2024-12-24T14:23:47Z
dc.date.available2024-12-24T14:23:47Z
dc.date.copyright01 Apr. 2023
dc.date.issued2023
dc.identifier.otheraies-AIES-D-22-0053.1.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4300667
dc.languageEnglish
dc.publisherAmerican Meteorological Society
dc.titleApplication of Machine Learning Techniques to Improve Multi-Radar Multi-Sensor (MRMS) Precipitation Estimates in the Western United States
dc.typeJournal Paper
dc.journal.volume2
dc.journal.issue2
dc.journal.titleArtificial Intelligence for the Earth Systems
dc.identifier.doi10.1175/AIES-D-22-0053.1
dc.journal.lastpage220053
dc.treeArtificial Intelligence for the Earth Systems:;2023:;volume( 002 ):;issue: 002
dc.contenttypeFulltext


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