| Retrieval of Atmospheric and Oceanic Parameters and the Relevant Numerical Calculation |
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| 作者姓名： | 黄思训 曹小群 杜华栋 王廷芳 项杰 |
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| 作者单位： | [1]Institute of Meteorology, PLA University of Science and Engineering, Nanjing 211101 [2]Key Laboratory of Meso-Scalc Severe Weather/MOE, Department of Atmospheric Sciences, Nanjing University, Nanjing 210093 |
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| 基金项目： | Acknowledgments. This work was supported by the National Natural Science Foundation of China （Grant No. 90411006） and by the Shanghai Science and Technology Association （Grant No. 02DJ14032）. |
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| 摘 要： | It is well known that retrieval of parameters is usually ill-posed and highly nonlinear, so parameter retrieval problems are very difficult. There are still many important theoretical issues under research, although great success has been achieved in data assimilation in meteorology and oceanography. This paper reviews the recent research on parameter retrieval, especially that of the authors. First, some concepts and issues of parameter retrieval are introduced and the state-of-the-art parameter retrieval technology in meteorology and oceanography is reviewed briefly, and then atmospheric and oceanic parameters are retrieved using the variational data assimilation method combined with the regularization techniques in four examples： retrieval of the vertical eddy diffusion coefficient; of the turbulivity of the atmospheric boundary layer; of wind from Doppler radar data, and of the physical process parameters. Model parameter retrieval with global and local observations is also introduced.
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| 关 键 词： | 数据同化作用 参数检索 规则化 海洋 大气 |
| 收稿时间： | 2005-02-03 |
| 修稿时间： | 2005-10-14 |
Retrieval of atmospheric and oceanic parameters and the relevant numerical calculation |
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| Sixun Huang,Xiaoqun Cao,Huadong Du,Tingfang Wang,Jie Xiang.Retrieval of Atmospheric and Oceanic Parameters and the Relevant Numerical Calculation[J].Advances in Atmospheric Sciences,2006,23(1):106-117. |
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| Authors: | Sixun Huang Xiaoqun Cao Huadong Du Tingfang Wang Jie Xiang |
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| Institution: | Institute of Meteorology, PLA University of Science and Engineering, Nanjing 211101, Key Laboratory of Meso-Scale Severe Weather/MOE, Department of Atmospheric Sciences, Nanjing University, Nanjing 210093,Institute of Meteorology, PLA University of Science and Engineering, Nanjing 211101,Institute of Meteorology, PLA University of Science and Engineering, Nanjing 211101,Institute of Meteorology, PLA University of Science and Engineering, Nanjing 211101,Institute of Meteorology, PLA University of Science and Engineering, Nanjing 211101, Key Laboratory of Meso-Scale Severe Weather/MOE, Department of Atmospheric Sciences, Nanjing University, Nanjing 210093 |
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| Abstract: | It is well known that retrieval of parameters is usually ill-posed and highly nonlinear, so parameter retrieval problems are very difficult. There are still many important theoretical issues under research, although great success has been achieved in data assimilation in meteorology and oceanography. This paper reviews the recent research on parameter retrieval, especially that of the authors. First, some concepts and issues of parameter retrieval are introduced and the state-of-the-art parameter retrieval technology in meteorology and oceanography is reviewed briefly, and then atmospheric and oceanic parameters are retrieved using the variational data assimilation method combined with the regularization techniques in four examples: retrieval of the vertical eddy diffusion coefficient; of the turbulivity of the atmospheric boundary layer; of wind from Doppler radar data, and of the physical process parameters. Model parameter retrieval with global and local observations is also introduced. |
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| Keywords: | variational data assimilation parameter retrieval ill-posed problem regularization |
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