The Research Of Genetic Algorithm Assimilation System In The MM5 Model

In this paper a genetic algorithm four-dimension data assimilation system was applied to the more complex MM5 model, we verify the performance of the genetic algorithm assimilation system, we take the a heavy rainfall process during 04-05, July, 2003 as the experimental research object, and carry out data assimilation experiment of actual observation data, compare the experimental results of the genetic algorithm assimilation system and MM5 adjoint model assimilation system with the experimental results without assimilation, the following is the result:genetic algorithm assimilation system is used not only in a barotropic primitive equation but also in the complex model, MM5, for example, in the ideal experiment the result of the genetic algorithm assimilation system is better than the MM5 adjoint model assimilation system, in the assimilation experiment of actual observation data, whichever assimilation system is used, the initial field of numerical prediction model is effectively improved and the prediction effect of physical field and rainfall are somewhat enhanced. Because the model computational quantity is very huge, so in the experiment the genetic algorithm is paralleled, the result suggests that the computational speed of program is largely heightened, based on the upper conclusion the genetic algorithm assimilation system will be widely applied in the complex model.The genetic algorithm is new assimilation method,we believe that along with the theory progress of atmosphere science and mathematics, and the computational capability increase of computer, the better prediction result will be gained with the use of four-dimension data assimilation system of genetic algorithm.