このアイテムのアクセス数: 65

このアイテムのファイル:
ファイル 記述 サイズフォーマット 
a63b0p19.pdf1.3 MBAdobe PDF見る/開く
完全メタデータレコード
DCフィールド言語
dc.contributor.authorNUGROHO, Ginaldi Arien
dc.contributor.authorYAMAGUCHI, Koseien
dc.contributor.authorNAKAKITA, Eiichien
dc.contributor.authorYAMAMOTO, Masayukien
dc.contributor.alternative山口, 弘誠ja
dc.contributor.alternative中北, 英一ja
dc.contributor.alternative山本, 真之ja
dc.contributor.alternative川村, 誠治ja
dc.contributor.transcriptionヤマグチ, コウセイja-Kana
dc.contributor.transcriptionナカキタ, エイイチja-Kana
dc.contributor.transcriptionヤマモト, マサユキja-Kana
dc.contributor.transcriptionカワムラ, セイジja-Kana
dc.date.accessioned2021-01-07T23:54:45Z-
dc.date.available2021-01-07T23:54:45Z-
dc.date.issued2020-12-
dc.identifier.issn0386-412X-
dc.identifier.urihttp://hdl.handle.net/2433/260823-
dc.description.abstractMultiple observation to observe cloud microphysics are conducted in one of location in Kobe urban area of Japan. From Boundary Layer Radar observation capture a high thermal with its updraft properties with its height is already reaching above boundary layer height. In this period of high thermal, temperature observation from two nearest AWS showed increase of temperature value. Himawari-8 satellite and Time lapse camera capture convective cumulus cloud moving towards the thermal location in the same period. In order to analyze whether there is any effect of this high thermal towards the cumulus cloud, wavelet coherency is used. The result showed that the higher part of the thermal has the same pattern (in-phase) with the cloud albedo. High thermal seems to affect the cloud condition based on the cloud image especially in the period where the thermal reach its maximum updraft value.en
dc.format.mimetypeapplication/pdf-
dc.language.isoeng-
dc.publisher京都大学防災研究所ja
dc.publisher.alternativeDisaster Prevention Research Institute, Kyoto Universityen
dc.subjectThermalja
dc.subjectCumulus clouden
dc.subjectUpdraften
dc.subject.ndc519.9-
dc.titleHigh Thermal and Interaction with Convective Cloud Based from Boundary Layer Radar, Himawari-8 and Time Lapse Camera Observation (Case Study: 11 September 2018)en
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.volume63-
dc.identifier.issueB-
dc.identifier.spage209-
dc.identifier.epage216-
dc.textversionpublisher-
dc.sortkey20-
dc.addressGraduate School of Engineering, Kyoto University, Kyotoen
dc.addressDisaster Prevention Research Institute Kyoto Universityen
dc.addressDisaster Prevention Research Institute Kyoto Universityen
dc.addressNational Institute of Information and Communications Technologyen
dc.addressNational Institute of Information and Communications Technologyen
dc.relation.urlhttp://www.dpri.kyoto-u.ac.jp/publications/nenpo/-
dcterms.accessRightsopen access-
datacite.awardNumber15H05765-
datacite.awardNumber20H02258-
datacite.awardNumber16K12861-
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.funderName日本学術振興会ja
jpcoar.funderName.alternativeJapan Society for the Promotion of Science (JSPS)en
jpcoar.funderName.alternativeJapan Society for the Promotion of Science (JSPS)en
jpcoar.funderName.alternativeJapan Society for the Promotion of Science (JSPS)en
出現コレクション:Vol.63 B

アイテムの簡略レコードを表示する

Export to RefWorks


出力フォーマット 


このリポジトリに保管されているアイテムはすべて著作権により保護されています。