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Improving Multisensor Precipitation Estimation via Adaptive Conditional Bias–Penalized Merging of Rain Gauge Data and Remotely Sensed Quantitative Precipitation Estimates

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dc.contributor.authorNoh,Seong-Jin-
dc.date.available2020-04-24T09:24:48Z-
dc.date.created2020-03-31-
dc.date.issued2019-12-
dc.identifier.issn1525-755X-
dc.identifier.urihttps://scholarworks.bwise.kr/kumoh/handle/2020.sw.kumoh/125-
dc.language영어-
dc.language.isoen-
dc.publisherAmerican Meterological Society-
dc.titleImproving Multisensor Precipitation Estimation via Adaptive Conditional Bias–Penalized Merging of Rain Gauge Data and Remotely Sensed Quantitative Precipitation Estimates-
dc.title.alternativeImproving Multisensor Precipitation Estimation via Adaptive Conditional Bias–Penalized Merging of Rain Gauge Data and Remotely Sensed Quantitative Precipitation Estimates-
dc.typeArticle-
dc.contributor.affiliatedAuthorNoh,Seong-Jin-
dc.identifier.bibliographicCitationJournal of Hydrometeorology, v.20, no.12, pp.2347 - 2365-
dc.citation.titleJournal of Hydrometeorology-
dc.citation.volume20-
dc.citation.number12-
dc.citation.startPage2347-
dc.citation.endPage2365-
dc.type.rimsART-
dc.description.journalClass1-
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