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Applying an ensemble Kalman filter to the assimilation of AERONET observations in a global aerosol transport model
http://hdl.handle.net/2261/51853
http://hdl.handle.net/2261/5185328e387b9-71a2-44d3-99dc-72546500d020
名前 / ファイル | ライセンス | アクション |
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Nakajima2010ACP_H24P147.pdf (1.1 MB)
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Item type | 学術雑誌論文 / Journal Article(1) | |||||
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公開日 | 2017-01-06 | |||||
タイトル | ||||||
タイトル | Applying an ensemble Kalman filter to the assimilation of AERONET observations in a global aerosol transport model | |||||
言語 | ||||||
言語 | eng | |||||
資源タイプ | ||||||
資源 | http://purl.org/coar/resource_type/c_6501 | |||||
タイプ | journal article | |||||
著者 |
Schutgens, N. A. J.
× Schutgens, N. A. J.× Miyoshi, T.× Takemura, T.× Nakajima, T. |
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著者所属 | ||||||
著者所属 | Center for Climate System Research (CCSR), University of Tokyo | |||||
著者所属 | ||||||
著者所属 | Japanese Meteorological Agency (JMA) | |||||
著者所属 | ||||||
著者所属 | Research Institute for Applied Mechanics (RIAM), Kyushu University | |||||
抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | We present a global aerosol assimilation system based on an Ensemble Kalman filter, which we believe leads to a significant improvement in aerosol fields. The ensemble allows realistic, spatially and temporally variable model covariances (unlike other assimilation schemes). As the analyzed variables are mixing ratios (prognostic variables of the aerosol transport model), there is no need for the extra assumptions required by previous assimilation schemes analyzing aerosol optical thickness (AOT). We describe the implementation of this assimilation system and in particular the construction of the ensemble. This ensemble should represent our estimate of current model uncertainties. Consequently, we construct the ensemble around randomly modified emission scenarios. The system is tested with AERONET observations of AOT and Angström exponent (AE). Particular care is taken in prescribing the observational errors. The assimilated fields (AOT and AE) are validated through independent AERONET, SKYNET and MODIS Aqua observations. We show that, in general, assimilation of AOT observations leads to improved modelling of global AOT, while assimilation of AE only improves modelling when the AOT is high. | |||||
書誌情報 |
Atmospheric chemistry and physics 巻 10, 号 5, p. 2561-2576, 発行日 2010 |
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ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 16807324 | |||||
書誌レコードID | ||||||
収録物識別子タイプ | NCID | |||||
収録物識別子 | AA12038447 | |||||
DOI | ||||||
識別子タイプ | DOI | |||||
関連識別子 | info:doi/10.5194/acp-10-2561-2010 | |||||
権利 | ||||||
権利情報 | © Author(s) 2010. This work is distributed under the Creative Commons Attribution 3.0 License. | |||||
日本十進分類法 | ||||||
主題 | 451 | |||||
主題Scheme | NDC | |||||
出版者 | ||||||
出版者 | European Geosciences Union | |||||
出版者 | ||||||
出版者 | Copernicus Publications | |||||
異版である | ||||||
関連タイプ | isVersionOf | |||||
識別子タイプ | URI | |||||
関連識別子 | http://www.atmos-chem-phys.net/10/2561/2010/acp-10-2561-2010.html |