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DCフィールド | 値 | 言語 |
---|---|---|
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.alternative | ONO, Akiyuki | en |
dc.contributor.alternative | YAMAGUCHI, Kosei | en |
dc.contributor.alternative | NAKAKITA, Eiichi | en |
dc.date.accessioned | 2022-02-26T05:41:26Z | - |
dc.date.available | 2022-02-26T05:41:26Z | - |
dc.date.issued | 2021-12 | - |
dc.identifier.uri | http://hdl.handle.net/2433/268160 | - |
dc.description.abstract | In 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.iso | jpn | - |
dc.publisher | 京都大学防災研究所 | ja |
dc.publisher.alternative | Disaster Prevention Research Institute, Kyoto University | en |
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.subject | heavy rainfall | en |
dc.subject | potential temperature | en |
dc.subject | vorticity | en |
dc.subject | data assimilation | en |
dc.subject | Fourier analysis | en |
dc.subject | precipitation particles | en |
dc.subject.ndc | 519.9 | - |
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.alternative | Understanding and Data Assimilation Experiment on Vorticity Field Driven by Thermal Gradient | en |
dc.type | departmental bulletin paper | - |
dc.type.niitype | Departmental Bulletin Paper | - |
dc.identifier.ncid | AN00027784 | - |
dc.identifier.jtitle | 京都大学防災研究所年報. B | ja |
dc.identifier.volume | 64 | - |
dc.identifier.issue | B | - |
dc.identifier.spage | 277 | - |
dc.identifier.epage | 293 | - |
dc.textversion | publisher | - |
dc.sortkey | 23 | - |
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.alternative | Disaster Prevention Research Institute, Kyoto University | en |
dc.address.alternative | Disaster Prevention Research Institute, Kyoto University | en |
dc.address.alternative | Disaster Prevention Research Institute, Kyoto University | en |
dc.relation.url | http://www.dpri.kyoto-u.ac.jp/publications/nenpo/ | - |
dcterms.accessRights | open access | - |
datacite.awardNumber | 15H05765 | - |
datacite.awardNumber | 20H02258 | - |
datacite.awardNumber.uri | https://kaken.nii.ac.jp/ja/grant/KAKENHI-PROJECT-15H05765/ | - |
datacite.awardNumber.uri | https://kaken.nii.ac.jp/ja/grant/KAKENHI-PROJECT-20H02258/ | - |
dc.identifier.pissn | 0386-412X | - |
dc.identifier.jtitle-alternative | Disaster Prevention Research Institute Annuals. B | en |
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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