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dc.contributor.author山口, 弘誠ja
dc.contributor.author黒田, 奈那ja
dc.contributor.author中北, 英一ja
dc.contributor.alternativeYAMAGUCHI, Koseien
dc.contributor.alternativeKURODA, Nanaen
dc.contributor.alternativeNAKAKITA, Eiichien
dc.contributor.transcriptionヤマグチ, コウセイja-Kana
dc.contributor.transcriptionクロダ, ナナja-Kana
dc.contributor.transcriptionナカキタ, エイイチja-Kana
dc.date.accessioned2019-12-05T04:14:18Z-
dc.date.available2019-12-05T04:14:18Z-
dc.date.issued2019-09-
dc.identifier.issn0386-412X-
dc.identifier.urihttp://hdl.handle.net/2433/244979-
dc.description.abstractFor disaster prevention, it is important to predict the duration and the amount of rainfall brought by line-shaped rainbands. We examined a prediction method of ensemble forecast under a hypothesis that ensemble forecasts for hard-to-predict events, such as line shaped rainband heavy rainfall, show two patterns of characteristic changes when the forecasts are updated. The first pattern is that the ensemble mean does not approach reality even if the forecast is updated. The second pattern is that the dispersion of ensemble does not decrease. We conducted an ensemble forecast taking multiple initial time for the northern Kyushu heavy rainfall occurred in 2017, and examined the prediction information of water vapor, which is the physical quantity preceding precipitation. Pattern 1 was strongly observed around Asakura City. Pattern 2 was observed not only around Asakura City but also in areas upstream of water vapor inflow. These characteristics correspond to the time duration of heavy rainfall to some extent. From these analysis, we showed the possibility of utilization of two patterns for the heavy rainfall exceeding the scenario of ensemble forecast.en
dc.format.mimetypeapplication/pdf-
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アンサンブル予測ja
dc.subject降水予測ja
dc.subject線状降水帯豪雨ja
dc.subject予測精度ja
dc.subject平成29年7月九州北部豪雨ja
dc.subjectensemble forecasten
dc.subjectrainfall forecasten
dc.subjectline-shaped rainbanden
dc.subjectprediction accuracyen
dc.subjectnorthern Kyusyu heavy rainfall occurred in 2017en
dc.subject.ndc519.9-
dc.title線状降水帯豪雨予測に向けた水蒸気のアンサンブル予測情報の更新履歴解析ja
dc.title.alternativeA New Ensemble Simulation Analysis Considering Water Vapor Update History for Line-Shaped Rainband Heavy Rainfall Forecastingen
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.volume62-
dc.identifier.issueB-
dc.identifier.spage533-
dc.identifier.epage544-
dc.textversionpublisher-
dc.sortkey25-
dc.relation.urlhttp://www.dpri.kyoto-u.ac.jp/publications/nenpo/-
dcterms.accessRightsopen access-
dc.identifier.pissn0386-412X-
dc.identifier.jtitle-alternativeDisaster Prevention Research Institute Annuals. Ben
出現コレクション:Vol.62 B

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