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dc.contributor.author大野, 哲之ja
dc.contributor.author山口, 弘誠ja
dc.contributor.author中北, 英一ja
dc.contributor.alternativeONO, Akiyukien
dc.contributor.alternativeYAMAGUCHI, Koseien
dc.contributor.alternativeNAKAKITA, Eiichien
dc.date.accessioned2022-02-26T05:41:26Z-
dc.date.available2022-02-26T05:41:26Z-
dc.date.issued2021-12-
dc.identifier.urihttp://hdl.handle.net/2433/268160-
dc.description.abstractIn this research, potential temperature gradient based vorticity which is the expression of baroclinic is obtained to analyze the energy structure of the vorticity field in developing clouds. First, applying the variational method enables us to obtain a diagnostic equation in which the equation of motion, conservation law of mass, and entropy are considered as constraints. Second, Fourier analysis was performed on the vorticity field in the cross-section of the convective core in the isolated cumulonimbus simulation. The temporal change of the spectrum of vorticity field indicates that the rotational intensity of potential temperature gradient based vorticity increases as the degree of baroclinicity increases. Third, we conducted the data assimilation experiment assuming the use of vertical vorticity estimated by doppler radar observation. The change in the potential temperature and vertical wind through the error covariance matrix generates coherent convection in the computations.en
dc.language.isojpn-
dc.publisher京都大学防災研究所ja
dc.publisher.alternativeDisaster Prevention Research Institute, Kyoto Universityen
dc.subject集中豪雨ja
dc.subject温位ja
dc.subject渦度ja
dc.subjectデータ同化ja
dc.subjectフーリエ解析ja
dc.subject降水粒子ja
dc.subjectheavy rainfallen
dc.subjectpotential temperatureen
dc.subjectvorticityen
dc.subjectdata assimilationen
dc.subjectFourier analysisen
dc.subjectprecipitation particlesen
dc.subject.ndc519.9-
dc.title熱的勾配が駆動する渦度場の解明とデータ同化実験ja
dc.title.alternativeUnderstanding and Data Assimilation Experiment on Vorticity Field Driven by Thermal Gradienten
dc.typedepartmental bulletin paper-
dc.type.niitypeDepartmental Bulletin Paper-
dc.identifier.ncidAN00027784-
dc.identifier.jtitle京都大学防災研究所年報. Bja
dc.identifier.volume64-
dc.identifier.issueB-
dc.identifier.spage277-
dc.identifier.epage293-
dc.textversionpublisher-
dc.sortkey23-
dc.address京都大学防災研究所ja
dc.address京都大学防災研究所ja
dc.address京都大学防災研究所ja
dc.address.alternativeDisaster Prevention Research Institute, Kyoto Universityen
dc.address.alternativeDisaster Prevention Research Institute, Kyoto Universityen
dc.address.alternativeDisaster Prevention Research Institute, Kyoto Universityen
dc.relation.urlhttp://www.dpri.kyoto-u.ac.jp/publications/nenpo/-
dcterms.accessRightsopen access-
datacite.awardNumber15H05765-
datacite.awardNumber20H02258-
datacite.awardNumber.urihttps://kaken.nii.ac.jp/ja/grant/KAKENHI-PROJECT-15H05765/-
datacite.awardNumber.urihttps://kaken.nii.ac.jp/ja/grant/KAKENHI-PROJECT-20H02258/-
dc.identifier.pissn0386-412X-
dc.identifier.jtitle-alternativeDisaster Prevention Research Institute Annuals. Ben
jpcoar.funderName日本学術振興会ja
jpcoar.funderName日本学術振興会ja
jpcoar.awardTitleストームジェネシスを捉えるための先端フィールド観測と豪雨災害軽減に向けた総合研究ja
jpcoar.awardTitle都市気象LESモデルによるゲリラ豪雨の「種」の解明と気候変動下の将来変化予測ja
出現コレクション:Vol.64 B

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