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

• Material Type: 記事
• Title: Decomposition of the large-scale atmospheric state driving downscaling : a perspective on dynamical downscaling for regional climate study
• Author/Editor: Seiya Nishizawa; Sachiho A. Adachi; Yoshiyuki Kajikawa
• Publication, Distribution, etc.: 日本 : Springer Nature
• Publication Date: 2018-01-08
• Publication Date (W3CDTF): 2018-01-08
• Periodical title: Progress in earth and planetary science
• No. or year of volume/issue: 5(2)
• Volume: 5(2)
• ISSN (Periodical Title): 2197-4284
• ISSN-L (Periodical Title): 2197-4284
• Text Language Code: eng
• DOI: 10.1186/s40645-017-0159-0; https://doi.org/10.1186/s40645-017-0159-0
• Persistent ID (NDL): info:ndljp/pid/11018908; https://dl.ndl.go.jp/pid/11018908
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• Collection (particular): 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
• Acquisition Basis: オンライン資料収集制度
• Date Accepted (W3CDTF): 2018-01-12T20:31:06+09:00
• Date Captured (W3CDTF): 2018-01-11
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• Periodical Title (URI): https://progearthplanetsci.springeropen.com/articles
• Periodical Title (Persistent ID (NDL)): info:ndljp/pid/11018906; https://dl.ndl.go.jp/pid/11018906
• Data Provider (Database): 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

• Summary, etc.: 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
• Access Restrictions: インターネット公開
• Rights (production): © 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.
• Related Material (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
• Is Referenced By: 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
• Data Provider (Database): 国立情報学研究所 : CiNii Research; https://cir.nii.ac.jp/
• Original Data Provider (Database): 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
• Bibliographic ID (NDL): 11018908; http://id.ndl.go.jp/bib/11018908
• NAID: 120006382331