ダウンロード数: 171
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 | |
---|---|---|---|---|
a59b0p30.pdf | 15.25 MB | Adobe PDF | 見る/開く |
完全メタデータレコード
DCフィールド | 値 | 言語 |
---|---|---|
dc.contributor.author | 山口, 弘誠 | ja |
dc.contributor.author | 古田, 康平 | ja |
dc.contributor.author | 中北, 英一 | ja |
dc.contributor.alternative | YAMAGUCHI, Kosei | en |
dc.contributor.alternative | FURUTA, Kohei | en |
dc.contributor.alternative | NAKAKITA, Eiichi | en |
dc.date.accessioned | 2016-11-15T01:15:53Z | - |
dc.date.available | 2016-11-15T01:15:53Z | - |
dc.date.issued | 2016-06 | - |
dc.identifier.issn | 0386-412X | - |
dc.identifier.uri | http://hdl.handle.net/2433/217292 | - |
dc.description.abstract | The short lead time rainfall prediction by Numerical Weather Prediction model has some difficulties in the spin-up problem. Therefore, data assimilation (DA) is expected to improve the initial condition in the model. In this study, our developed ensemble DA system, CReSS-LETKF, and the method of estimation of ice-water mixing ratios are employed. DA of rain, graupel, ice crystal, snowflake and Doppler velocity estimated by polarimetric Doppler radar are carried out after the first convective cloud in mesoscale convective systems is generated. As a result, the first convective clouds formed in initial condition have effective influence on the short lead time rainfall prediction. As the next challenging step, DA is carried out before the first convective cloud. As a result, convective clouds are not generated although the atmosphere conditions, such as potential temperature change | en |
dc.format.mimetype | application/pdf | - |
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 | データ同化 | ja |
dc.subject | 短時間降水予測 | ja |
dc.subject | 偏波レーダ | ja |
dc.subject | 降水粒子判別 | ja |
dc.subject | NWP | en |
dc.subject | Data assimilation | en |
dc.subject | Polatimetric radar | en |
dc.subject | Short lead time rainfall prediction | en |
dc.subject | Hydrometer classification | en |
dc.subject.ndc | 519.9 | - |
dc.title | 偏波ドップラーレーダの同化によるメソ対流系の降水予測精度向上に関する研究 | ja |
dc.title.alternative | Improvement of Precipitation Forecast on Mesoscale Convective System using Data Assimilation of Polarimetric Doppler Radar | 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 | 59 | - |
dc.identifier.issue | B | - |
dc.identifier.spage | 298 | - |
dc.identifier.epage | 322 | - |
dc.textversion | publisher | - |
dc.sortkey | 30 | - |
dc.relation.url | http://www.dpri.kyoto-u.ac.jp/nenpo/nenpo.html | - |
dcterms.accessRights | open access | - |
dc.identifier.pissn | 0386-412X | - |
dc.identifier.jtitle-alternative | Disaster Prevention Research Institute Annuals. B | en |
出現コレクション: | Vol.59 B |
![](/dspace/image/articlelinker.gif)
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。