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Development of an Optimal Postprocessing Model Using the Microgenetic Algorithm to Improve Precipitation Forecasting in South Korea

dc.contributor.authorKim, Junsu
dc.contributor.authorKim, Yeon-Hee
dc.contributor.authorBok, Hyejeong
dc.contributor.authorJang, Sungbin
dc.contributor.authorCho, Eunju
dc.contributor.authorKim, Seungbum
dc.date.accessioned2024-12-24T13:42:09Z
dc.date.available2024-12-24T13:42:09Z
dc.date.copyright01 Jan. 2024
dc.date.issued2024
dc.identifier.otheraies-AIES-D-23-0069.1.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4299457
dc.languageEnglish
dc.publisherAmerican Meteorological Society
dc.titleDevelopment of an Optimal Postprocessing Model Using the Microgenetic Algorithm to Improve Precipitation Forecasting in South Korea
dc.typeJournal Paper
dc.journal.volume3
dc.journal.issue1
dc.journal.titleArtificial Intelligence for the Earth Systems
dc.identifier.doi10.1175/AIES-D-23-0069.1
dc.journal.lastpagee230069
dc.treeArtificial Intelligence for the Earth Systems:;2024:;volume( 003 ):;issue: 001
dc.contenttypeFulltext


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