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Global Precipitation Nowcasting of Integrated Multi-satellitE Retrievals for GPM: A U-Net Convolutional LSTM Architecture

dc.contributor.authorRahimi, Reyhaneh
dc.contributor.authorRavirathinam, Praveen
dc.contributor.authorEbtehaj, Ardeshir
dc.contributor.authorBehrangi, Ali
dc.contributor.authorTan, Jackson
dc.contributor.authorKumar, Vipin
dc.date.accessioned2024-12-24T15:04:54Z
dc.date.available2024-12-24T15:04:54Z
dc.date.copyright01 Jun. 2024
dc.date.issued2024
dc.identifier.otherhydr-JHM-D-23-0119.1.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4301792
dc.languageEnglish
dc.publisherAmerican Meteorological Society
dc.titleGlobal Precipitation Nowcasting of Integrated Multi-satellitE Retrievals for GPM: A U-Net Convolutional LSTM Architecture
dc.typeJournal Paper
dc.journal.volume25
dc.journal.issue6
dc.journal.titleJournal of Hydrometeorology
dc.identifier.doi10.1175/JHM-D-23-0119.1
dc.journal.fristpage947
dc.journal.lastpage963
dc.treeJournal of Hydrometeorology:;2024:;volume( 025 ):;issue: 006
dc.contenttypeFulltext


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