| VARIATIONAL DATA ASSIMILATION USING WAVELET BACKGROUND ERROR COVARIANCE: INITIALIZATION OF TYPHOON KAEMI (2006) |
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| 作者姓名： | 张卫民 曹小群 肖庆农 宋君强 朱小谦 王舒畅 |
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| 作者单位： | ZHANG Wei-min,CAO Xiao-qun,SONG Jun-qiang,ZHU Xiao-qian,WANG Shu-chang(College of Computer, National University of Defense Technology, Changsha 410073 China);XIAO Qin-nong(Collage of Marine Science, University of South Florida, St.Petersburg, Florida 33701 USA) |
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| 基金项目： | National Natural Science Foundation of China (40775064) |
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| 摘 要： | Background error covariance plays an important role in any variational data assimilation system, because it determines how information from observations is spread in model space and between different model variables. In this paper, the use of orthogonal wavelets in representation of background error covariance over a limited area is studied. Based on the WRF model and its 3D-VAR system, an algorithm using orthogonal wavelets to model background error covariance is developed. Because each wavelet function contains information on both position and scale, using a diagonal correlation matrix in wavelet space gives the possibility to represent some anisotropic and inhomogeneous characteristics of background error covariance. The experiments show that local correlation functions are better modeled than spectral methods. The formulation of wavelet background error covariance is tested with the typhoon Kaemi (2006). The results of experiments indicate that the subsequent forecasts of typhoon Kaemi’s track and intensity are significantly improved by the new method.
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| 关 键 词： | 小群 |
VARIATIONAL DATA ASSIMILATION USING WAVELET BACKGROUND ERROR COVARIANCE: INITIALIZATION OF TYPHOON KAEMI (2006) |
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| ZHANG Wei-min,CAO Xiao-qun,XIAO Qin-nong,SONG Jun-qiang,ZHU Xiao-qian and WANG Shu-chang.VARIATIONAL DATA ASSIMILATION USING WAVELET BACKGROUND ERROR COVARIANCE: INITIALIZATION OF TYPHOON KAEMI (2006)[J].Journal of Tropical Meteorology,2010,16(4):333-340. |
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| Authors: | ZHANG Wei-min CAO Xiao-qun XIAO Qin-nong SONG Jun-qiang ZHU Xiao-qian and WANG Shu-chang |
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| Institution: | 1. College of Computer, National University of Defense Technology, Changsha 410073 China
2. Collage of Marine Science, University of South Florida, St.Petersburg, Florida 33701 USA |
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| Abstract: | Background error covariance plays an important role in any variational data assimilation system, because it determines how information from observations is spread in model space and between different model variables. In this paper, the use of orthogonal wavelets in representation of background error covariance over a limited area is studied. Based on the WRF model and its 3D-VAR system, an algorithm using orthogonal wavelets to model background error covariance is developed. Because each wavelet function co... |
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| Keywords: | variational data assimilation background error covariance orthogonal wavelet typhoon |
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