正则化方法在风海流Ekman模型资料同化中的应用

黄兵; 刘健文; 钟中; 白洁

正则化方法在风海流Ekman模型资料同化中的应用

1.
解放军理工大学气象学院, 江苏, 南京, 211101;空军装备研究院航空气象研究所, 北京, 100085
2.
空军装备研究院航空气象研究所, 北京, 100085
3.
解放军理工大学气象学院, 江苏, 南京, 211101

基金项目: 自然科学基金重点项目(40333026);总装41322050202课题共同资助

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- 被引次数: 0
出版历程
- 收稿日期: 2005-06-23
- 修回日期: 2006-01-16

VARIATIONAL DATA ASSIMILATION OF WIND-DRIVEN CURRENT MODEL

1.
Meteorological Institute of Science and Engineering University PLA, Nanjing 211101, China;Air Force Institute of Aviation Meteorology, Beijing 100085, China
2.
Air Force Institute of Aviation Meteorology, Beijing 100085, China
3.
Meteorological Institute of Science and Engineering University PLA, Nanjing 211101, China

摘要

摘要: 针对修正的风海流Ekman模型,采用变分同化技术结合反问题的正则化技巧,对模式的初始条件、边界条件和模式参数进行最优调整,使模式解与观测场能较好地符合。在对模式参数的估计过程中,引进正则化思想,在目标泛函中增加稳定泛函,从而克服在调整模式参数时造成的不适定。并通过数值试验进一步肯定正则化理论在资料同化中的作用。
- 风海流模式 /
- 正则化 /
- 变分同化
Abstract: The regularization method of inverse problem is used in combination with the variational data assimilation method to adjust the model initial/boundary conditions and parameters so that the analyzed model can agree with the observation. The computational instability will appear as a result of ill-posed inverse problem during variatioanal data assimilation and optimal model parameter estimation.The regularization ideas are introduced by adding a stable function to the cost function. The ill-posed variational assimilation during optimal adjustment of model parameters in some cases are corrected with satisfactory results. Ideal experiments are also conducted to verify the effect of the regularization method on variational data assimilation.
- wind-driven current model /
- regularization method /
- variational data assimilation

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