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Uncertainty Calibration of Passive Microwave Brightness Temperatures Predicted by Bayesian Deep Learning Models

dc.contributor.authorOrtiz, Pedro
dc.contributor.authorCasas, Eleanor
dc.contributor.authorOrescanin, Marko
dc.contributor.authorPowell, Scott W.
dc.contributor.authorPetkovic, Veljko
dc.contributor.authorHall, Micky
dc.date.accessioned2024-12-24T14:56:03Z
dc.date.available2024-12-24T14:56:03Z
dc.date.copyright01 Oct. 2023
dc.date.issued2023
dc.identifier.otheraies-AIES-D-22-0056.1.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4301555
dc.languageEnglish
dc.publisherAmerican Meteorological Society
dc.titleUncertainty Calibration of Passive Microwave Brightness Temperatures Predicted by Bayesian Deep Learning Models
dc.typeJournal Paper
dc.journal.volume2
dc.journal.issue4
dc.journal.titleArtificial Intelligence for the Earth Systems
dc.identifier.doi10.1175/AIES-D-22-0056.1
dc.journal.lastpagee220056
dc.treeArtificial Intelligence for the Earth Systems:;2023:;volume( 002 ):;issue: 004
dc.contenttypeFulltext


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