Generalized Method of Variational Analysis for 3-D Flow

The generalized method of variational analysis (GMVA) suggested for 2-D wind observations by Huang et al. is extended to 3-D cases. Just as in 2-D cases, the regularization idea is applied. But due to the complexity of the 3-D cases, the vertical vorticity is taken as a stable functional. The results indicate that wind observations can be both variationally optimized and filtered. The efficiency of GMVA is also checked in a numerical test. Finally, 3-D wind observations with random disturbances are manipulated by GMVA after being filtered.

作 者： 蘭偉仁 黃思訓 項杰   作者單位： Meteorological College, PLA University of Science and Technology, Nanjing 211101  刊 名： 大氣科學進展（英文版）  ISTIC SCI 英文刊名： ADVANCES IN ATMOSPHERIC SCIENCES  年，卷(期)： 2004 21(5)  分類號： P4  關鍵詞： regularization methods   inverse problem   generalized method of variational analysis   filtering  

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