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A Method of Four-Dimensional Variational Data Assimilation Based on the Evolution Direction Genetic Algorithm
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    Abstract:

    The variational assimilation of initial fields in numerical weather prediction is a problem of nonlinear optimization.To solve this problem,this paper presents a method based on the evolution direction genetic algorithm(EDGA).Numerical simulation using the ideal initial field shows that the method is fairly effective.

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王顺凤,沈桐立,张建伟,孙麟平,2002.基于进化方向遗传算法的四维变分资料同化方法[J].大气科学学报,25(6):740-746.
WANG Sun feng, SHENG Tong li, ZHANG Jian wei, SUN Lin ping,2002. A Method of Four-Dimensional Variational Data Assimilation Based on the Evolution Direction Genetic Algorithm[J]. Trans Atmos Sci,25(6):740-746.

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History
  • Received:April 27,2002
  • Revised:August 12,2002
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