Retrieval single-doppler radar wind with variational assimilation method-part i: objective selection of functional weighting factors |
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| Authors: | Wei Ming Dang Renqing Ge Wenzhong Takao Takeda |
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| Institution: | Department of Atmospheric Sciences, Nanjing University, Nanjing 210093,Department of Atmospheric Sciences, Nanjing University, Nanjing 210093,Department of Atmospheric Sciences, Nanjing University, Nanjing 210093,Institute for Hydrospheric-Atmospheric Sciences, Nagoya University, Japan |
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| Abstract: | In variational problem, the selection of functional weighting factors (FWF) is one of the key points for discussing many relevant studies. To overcome arbitrariness and subjectivity of the empirical selecting methods used widely at present, this paper tries to put forward in optimal objective selecting method of FWF. The focus of the study is on the weighting factors optimal selection in the variation retrieval single-Doppler radar wind field with the simple adjoint models. Weighting factors in the meaning of minimal variance are calculated out with the matrix theory and the finite difference method of partial differential equation. Experiments show that the result is more objective comparing with the factors obtained with the empirical method. |
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| Keywords: | Variation Weighting factor Minimum variance Objective selection |
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