A Method of Four-Dimensional Variational Data Assimilation Based on the Evolution Direction Genetic Algorithm
Wang Sun · Nanjing Qixiang Xueyuan xuebao · 2002
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.