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dc.contributor.authorLockwood, Joseph W.
dc.contributor.authorLoridan, Thomas
dc.contributor.authorLin, Ning
dc.contributor.authorOppenheimer, Michael
dc.contributor.authorHannah, Nic
dc.date.accessioned2024-12-24T15:02:53Z
dc.date.available2024-12-24T15:02:53Z
dc.date.copyright01 Jan. 2024
dc.date.issued2024
dc.identifier.otherhydr-JHM-D-23-0065.1.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4301734
dc.languageEnglish
dc.publisherAmerican Meteorological Society
dc.titleA Machine Learning Approach to Model Over-Ocean Tropical Cyclone Precipitation
dc.typeJournal Paper
dc.journal.volume25
dc.journal.issue1
dc.journal.titleJournal of Hydrometeorology
dc.identifier.doi10.1175/JHM-D-23-0065.1
dc.journal.fristpage207
dc.journal.lastpage221
dc.treeJournal of Hydrometeorology:;2024:;volume( 025 ):;issue: 001
dc.contenttypeFulltext


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