The Comparative Study Of Mesoscale Numerical Simulation Of Cloud Drift Wind Data Assimilation

With development of the social and the improvement of living standards, weather forecasting which relying mainly on the current numerical weather prediction accuracy, has become a growing concern in the topic. These years, the accuracy of numerical weather prediction has been greatly promoted with the development of various mesoscale numerical models which could replay the development of various weather systems well. The quality of NWP mainly depends on the exact initial field which could be improved to enhance the simulation and prediction ability of model. Along with the air sounding technology development, satellite cloud drift wind data series of high spatial and temporal resolution of the unconventional information makes up for the shortage of ocean observation data, using the assimilation way, application of unconventional data in model may be effective in improving the model initial fields.The paper uses two mesescale numerical models: MM5 and WRF. Using data from the NCEP global objective information and the FY-2 cloud drift wind data inversed by National Satellite Meteorological Center, this paper does four studies in the No.15 typhoon "KHANUN" in 2005 to analyze the pros and cons between MM5 and WRF, and to find the influence of the cloud drift wind data on initial field improvements. At the same time, on the basis of four studies do diagnostic analysis the mechanism of typhoon storms using the best result. This paper preliminary discussed the comparison of MM5 and WRF using the cloud drift wind data and the typhoon prediction experiment in application.Through the analysis, WRF model is significantly better than MM5 model in the effect of simulation, comparing of the rainfall,the wind and the strength of typhoon. At the same time, using he cloud drift wind data does little improvement in the initial fields. The result of assimilation is better than that of simulation. Through further analysis with the output from data assimilation experiment of Cloud-drift-wind data, it is proved that WRF is competent in successfully simulating both the dynamic and thermal structure of typhoon rainstorm. Meanwhile, the positions of the rainfall and moisture relative maximum humidity field matches with each other very well.