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dc.contributor.authorNaka, Nanamien
dc.contributor.authorTakemi, Tetsuyaen
dc.contributor.alternative中, 七海ja
dc.contributor.alternative竹見, 哲也ja
dc.date.accessioned2023-09-22T07:07:16Z-
dc.date.available2023-09-22T07:07:16Z-
dc.date.issued2023-
dc.identifier.urihttp://hdl.handle.net/2433/285220-
dc.description.abstractUsing mesoscale gridded analysis data and radar/raingauge-analyzed precipitation products, this study investigated the environmental conditions for the occurrence of extremely heavy rain events that occurred in northern Kyushu during the warm season in recent years. In all cases, the environmental conditions were not particularly unstable but were almost saturated in the deep layer of the troposphere. The existence of moist absolutely unstable layers (MAULs) was confirmed in and around the rainfall areas. A positive correlation was found between the volume of deep MAULs and the area total rainfall. A large convergence of the water vapor flux is observed in the lower troposphere, which appears to maintain very humid conditions and MAULs. The moisture convergence in the lower troposphere and the presence of deep MAULs is considered to enhance the heavy rainfall in the preceding hours. Humid conditions form deep MAULs that appear to precede the heavy rainfalls.en
dc.language.isoeng-
dc.publisher日本気象学会ja
dc.publisher.alternativeMeteorological Society of Japanen
dc.rights© The Author(s) 2023.en
dc.rightsThis is an open access article published by the Meteorological Society of Japan under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.en
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/-
dc.titleCharacteristics of the Environmental Conditions for the Occurrence of Recent Extreme Rainfall Events in Northern Kyushu, Japanen
dc.typejournal article-
dc.type.niitypeJournal Article-
dc.identifier.jtitleSOLAen
dc.identifier.volume19A-
dc.identifier.issueSpecial_Edition-
dc.identifier.spage9-
dc.identifier.epage16-
dc.relation.doi10.2151/sola.19a-002-
dc.textversionpublisher-
dcterms.accessRightsopen access-
datacite.awardNumber20H00289-
datacite.awardNumber21H01591-
datacite.awardNumber.urihttps://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-20H00289/-
datacite.awardNumber.urihttps://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-21H01591/-
dc.identifier.eissn1349-6476-
jpcoar.funderName日本学術振興会ja
jpcoar.funderName日本学術振興会ja
jpcoar.awardTitleメガストームに係る災害ハザードの近未来予測研究ja
jpcoar.awardTitle観測と建物解像モデリングを融合した市街地における局所降灰予測手法の確立ja
出現コレクション:学術雑誌掲載論文等

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