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Predicting Region-Dependent Biases in a GOES-16 Machine Learning Precipitation Retrieval

dc.contributor.authorGoldenstern, Eric
dc.contributor.authorKummerow, Christian
dc.date.accessioned2024-12-24T14:13:50Z
dc.date.available2024-12-24T14:13:50Z
dc.date.copyright01 Jul. 2023
dc.date.issued2023
dc.identifier.otherapme-JAMC-D-22-0089.1.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4300384
dc.languageEnglish
dc.publisherAmerican Meteorological Society
dc.titlePredicting Region-Dependent Biases in a GOES-16 Machine Learning Precipitation Retrieval
dc.typeJournal Paper
dc.journal.volume62
dc.journal.issue7
dc.journal.titleJournal of Applied Meteorology and Climatology
dc.identifier.doi10.1175/JAMC-D-22-0089.1
dc.journal.fristpage873
dc.journal.lastpage885
dc.treeJournal of Applied Meteorology and Climatology:;2023:;volume( 062 ):;issue: 007
dc.contenttypeFulltext


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