AN IMPACT STUDY OF A NEW TYPE OF DATA OF ADAPTIVE OR TARGETING OBSERVATION ON TYPHOON FORECAST

There was a new concept of ＇adaptive or targeting observation＇ in recent years, which is an additional and targeting observation based on the existing and fixed observing network for the atmosphere on the impacted region. Dropsonde is one of the important observing instruments in the adaptive or targeting observation. In this paper, GRAPES, the next generation of numerical weather prediction system of China has been used. The impacts on the typhoon Dujuan （No.200315） forecast in experiments with dropsonde have been studied and experiments on sensitivity have also been done. It was found that the forecasts of the elements have been improved obviously with the use of dropsonde, such as the path, the center location, and the intensity of typhoon. It was also found in the sensitivity studies that the setting of deviation structure also has obvious impacts on the forecast for typhoons. It is not true that the simulation is better when the proportion of the data of dropsonde is larger in the course to modify the background.