Decomposition of the large-scale atmospheric state driving downscaling : a perspective on dynamical downscaling for regional climate study

• 資料種別: 記事
• タイトル: Decomposition of the large-scale atmospheric state driving downscaling : a perspective on dynamical downscaling for regional climate study
• 著者・編者: Seiya Nishizawa; Sachiho A. Adachi; Yoshiyuki Kajikawa
• 出版事項: 日本 : Springer Nature
• 出版年月日等: 2018-01-08
• 出版年（W3CDTF）: 2018-01-08
• タイトル（掲載誌）: Progress in earth and planetary science
• 巻号年月日等（掲載誌）: 5(2)
• 掲載巻: 5(2)
• ISSN（掲載誌）: 2197-4284
• ISSN-L（掲載誌）: 2197-4284
• 本文の言語コード: eng
• DOI: 10.1186/s40645-017-0159-0; https://doi.org/10.1186/s40645-017-0159-0
• 国立国会図書館永続的識別子: info:ndljp/pid/11018908; https://dl.ndl.go.jp/pid/11018908
• コレクション（共通）: 障害者向け資料
• コレクション（障害者向け資料：レベル1）: テキストデータ
• コレクション（個別）: 国立国会図書館デジタルコレクション > 電子書籍・電子雑誌 > その他; https://dl.ndl.go.jp/collections/B00035
• 収集根拠: オンライン資料収集制度
• 受理日（W3CDTF）: 2018-01-12T20:31:06+09:00
• 保存日（W3CDTF）: 2018-01-11
• 記録形式（IMT）: application/pdf
• オンライン閲覧公開範囲: 国立国会図書館内限定公開
• デジタル化資料送信: 図書館・個人送信対象外
• 遠隔複写可否（NDL）: 可
• 掲載誌（URI）: https://progearthplanetsci.springeropen.com/articles
• 掲載誌（国立国会図書館永続的識別子）: info:ndljp/pid/11018906; https://dl.ndl.go.jp/pid/11018906
• 連携機関・データベース: 国立国会図書館 : 国立国会図書館デジタルコレクション; https://dl.ndl.go.jp

• 要約等: In this study, we provide a perspective on dynamical downscaling that includes a comprehensive view of multiple downscaling methods and a strategy for achieving better assessment of future regional climates. A regional climate simulation is generally driven by a large-scale atmospheric state obtained by a global climate simulation. We conceptualize the large-scale state based on reconstruction by combining decomposed components of the states, such as climatology and perturbation, in different global simulations. The conceptualization provides a comprehensive view of the downscaling methods of previous studies. We propose a strategy for downscaling regional climate studies based on the concept of covering a wider range of possibilities of large-scale states to account for the uncertainty in global future predictions due to model errors. Furthermore, it also extracts the individual influences of the decomposed components on regional climate change, resulting in better understanding of the cause of the change. We demonstrate a downscaling experiment to highlight the importance of the simultaneous consideration of the individual influences of climatology and perturbation.
• DOI: 10.1186/s40645-017-0159-0; https://doi.org/10.1186/s40645-017-0159-0
• オンライン閲覧公開範囲: インターネット公開
• 著作権情報: © The Author(s). 2018; This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
• 関連情報（URI）: https://hdl.handle.net/20.500.14094/90004547; http://id.ndl.go.jp/digimeta/11018908; https://dl.ndl.go.jp/pid/11018908; http://link.springer.com/content/pdf/10.1186/s40645-017-0159-0.pdf; http://link.springer.com/article/10.1186/s40645-017-0159-0/fulltext.html
• 参照: An evaluation method for uncertainties in regional climate projections; https://cir.nii.ac.jp/crid/1050856995323422592; Methodology of the Constraint Condition in Dynamical Downscaling for Regional Climate Evaluation: A Review; https://cir.nii.ac.jp/crid/1360290617396397568; Toward predicting expressway closures due to blowing snow events; https://cir.nii.ac.jp/crid/1360572092599870720; Future Projection of Tropical Cyclone Precipitation over Japan with a High-Resolution Regional Climate Model; https://cir.nii.ac.jp/crid/1390001277391245440
• 連携機関・データベース: 国立情報学研究所 : CiNii Research; https://cir.nii.ac.jp/
• 提供元機関・データベース: 学術機関リポジトリデータベース; https://irdb.nii.ac.jp; 雑誌記事索引データベース; https://ndlsearch.ndl.go.jp; Crossref; https://www.crossref.org; CiNii Articles
• 書誌ID（NDLBibID）: 11018908; http://id.ndl.go.jp/bib/11018908
• NII論文ID: 120006382331