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Physics-Constrained Deep Learning Postprocessing of Temperature and Humidity

dc.contributor.authorZanetta, Francesco
dc.contributor.authorNerini, Daniele
dc.contributor.authorBeucler, Tom
dc.contributor.authorLiniger, Mark A.
dc.date.accessioned2024-12-24T15:12:18Z
dc.date.available2024-12-24T15:12:18Z
dc.date.copyright01 Oct. 2023
dc.date.issued2023
dc.identifier.otheraies-AIES-D-22-0089.1.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4301982
dc.languageEnglish
dc.publisherAmerican Meteorological Society
dc.titlePhysics-Constrained Deep Learning Postprocessing of Temperature and Humidity
dc.typeJournal Paper
dc.journal.volume2
dc.journal.issue4
dc.journal.titleArtificial Intelligence for the Earth Systems
dc.identifier.doi10.1175/AIES-D-22-0089.1
dc.journal.lastpagee220089
dc.treeArtificial Intelligence for the Earth Systems:;2023:;volume( 002 ):;issue: 004
dc.contenttypeFulltext


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