{"created":"2023-07-27T06:52:08.432232+00:00","id":45894,"links":{},"metadata":{"_buckets":{"deposit":"b58c53a6-1d7d-4616-b2fb-e085c89cf6f2"},"_deposit":{"created_by":18,"id":"45894","owners":[18],"pid":{"revision_id":0,"type":"depid","value":"45894"},"status":"published"},"_oai":{"id":"oai:kanazawa-u.repo.nii.ac.jp:00045894","sets":["2812:2813:2816"]},"author_link":["2588","79723"],"item_9_biblio_info_8":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2018-05-28","bibliographicIssueDateType":"Issued"},"bibliographicPageStart":"6p.","bibliographicVolumeNumber":"2014-04-01 - 2018-03-31","bibliographic_titles":[{"bibliographic_title":"平成29(2017)年度 科学研究費補助金 基盤研究(B) 研究成果報告書"},{"bibliographic_title":"2017 Fiscal Year Final Research Report","bibliographic_titleLang":"en"}]}]},"item_9_creator_33":{"attribute_name":"著者別表示","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{}],"nameIdentifiers":[{},{}]}]},"item_9_description_21":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"本研究では，数値気象モデルによる降水予測精度向上のため，衛星搭載マイクロ波放射計による観測データを活用したアンサンブルカルマンフィルタによるデータ同化手法の開発を実施し，複数周波数帯の観測輝度温度の活用および複数時刻の観測データを活用した連続データ同化によって，モデル大気場の修正効果に向上する傾向がみられることを明らかにした．また，雲微物理量の鉛直分布を与える際の雲底高度について，温度依存性が大きく，その関係を活用することにより，適時性の高い雲底高度を推定することが可能となることを示した．","subitem_description_type":"Abstract"},{"subitem_description":"In this research, a data assimilation technique by Ensemble Kalman Filter (EnKF) was developed to improve hydrometeors (cloud water, cloud ice, snow, grauple and water vapor) in numerical weather model. Brightness temperatures (TB) observed by microwave radiometer onboard satellites were assimilated. Assimilation of TBs in multiple frequencies showed better results than the assimilation of single frequency TB. At the same time, comparing one-time assimilation experiment, sequential data assimilation using TBs at multiple observation time also showed improvement of atmospheric condition. Predicted rainfall also showed clear improvement in the maximum values in ensemble simulations.\nCloud bottom height which is used to define the lower boundary of vertical distribution of hydrometeors in the assimilation process showed clear relationship to atmospheric temperature. Using this relationship, appropriate cloud bottom height can be estimated for each assimilation time.","subitem_description_type":"Abstract"}]},"item_9_description_22":{"attribute_name":"内容記述","attribute_value_mlt":[{"subitem_description":"研究課題/領域番号:26289162, 研究期間(年度):2014-04-01 - 2018-03-31","subitem_description_type":"Other"},{"subitem_description":"出典：研究課題「衛星観測に基づく雲底高度推定とその応用による衛星データ同化手法の開発」課題番号26289162\n（KAKEN：科学研究費助成事業データベース（国立情報学研究所）） \n（https://kaken.nii.ac.jp/report/KAKENHI-PROJECT-26289162/26289162seika/)を加工して作成","subitem_description_type":"Other"}]},"item_9_description_5":{"attribute_name":"提供者所属","attribute_value_mlt":[{"subitem_description":"金沢大学理工研究域地球社会基盤学系","subitem_description_type":"Other"}]},"item_9_identifier_registration":{"attribute_name":"ID登録","attribute_value_mlt":[{"subitem_identifier_reg_text":"10.24517/00052228","subitem_identifier_reg_type":"JaLC"}]},"item_9_relation_28":{"attribute_name":"関連URI","attribute_value_mlt":[{"subitem_relation_name":[{"subitem_relation_name_text":"https://kaken.nii.ac.jp/search/?qm=20422321"}],"subitem_relation_type_id":{"subitem_relation_type_id_text":"https://kaken.nii.ac.jp/search/?qm=20422321","subitem_relation_type_select":"URI"}},{"subitem_relation_name":[{"subitem_relation_name_text":"https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-26289162/"}],"subitem_relation_type_id":{"subitem_relation_type_id_text":"https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-26289162/","subitem_relation_type_select":"URI"}},{"subitem_relation_name":[{"subitem_relation_name_text":"https://kaken.nii.ac.jp/report/KAKENHI-PROJECT-26289162/26289162seika/"}],"subitem_relation_type_id":{"subitem_relation_type_id_text":"https://kaken.nii.ac.jp/report/KAKENHI-PROJECT-26289162/26289162seika/","subitem_relation_type_select":"URI"}}]},"item_9_version_type_25":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_ab4af688f83e57aa","subitem_version_type":"AM"}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2019-04-22"}],"displaytype":"detail","filename":"TE-PR-TANIGUCHI-K-kaken 2018-6p.pdf","filesize":[{"value":"424.1 kB"}],"format":"application/pdf","licensetype":"license_11","mimetype":"application/pdf","url":{"label":"TE-PR-TANIGUCHI-K-kaken 2018-6p.pdf","url":"https://kanazawa-u.repo.nii.ac.jp/record/45894/files/TE-PR-TANIGUCHI-K-kaken 2018-6p.pdf"},"version_id":"cb566822-8465-42c1-8603-6e4e93932c44"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"research report","resourceuri":"http://purl.org/coar/resource_type/c_18ws"}]},"item_title":"衛星観測に基づく雲底高度推定とその応用による衛星データ同化手法の開発","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"衛星観測に基づく雲底高度推定とその応用による衛星データ同化手法の開発"},{"subitem_title":"Estimation of cloud bottom height using satellite observation and its application to satellite data sssimilation technique","subitem_title_language":"en"}]},"item_type_id":"9","owner":"18","path":["2816"],"pubdate":{"attribute_name":"公開日","attribute_value":"2019-04-22"},"publish_date":"2019-04-22","publish_status":"0","recid":"45894","relation_version_is_last":true,"title":["衛星観測に基づく雲底高度推定とその応用による衛星データ同化手法の開発"],"weko_creator_id":"18","weko_shared_id":-1},"updated":"2023-07-27T12:58:14.825676+00:00"}