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Generalized Method of Variational Analysis for 3-D Flow


doi: 10.1007/BF02916370

  • 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.
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Manuscript History

Manuscript received: 10 September 2004
Manuscript revised: 10 September 2004
通讯作者: 陈斌, bchen63@163.com
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    沈阳化工大学材料科学与工程学院 沈阳 110142

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Generalized Method of Variational Analysis for 3-D Flow

  • 1. Meteorological College, PLA University of Science and Technology, Nanjing 211101,Meteorological College, PLA University of Science and Technology, Nanjing 211101,Meteorological College, PLA University of Science and Technology, Nanjing 211101

Abstract: 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.

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