Retrieval Of Atmospheric Temperature And Humidity Profiles From NOAA/ATOVS And Data Assimilating Experiments In Meteorological Mesoscale Model

The history of meteorological satellites, the principle of meteorological remote sensing and retrieval methods for atmospheric parameters are introduced comprehensively in this thesis. The principle of Advanced TIROS Operational Vertical Sounder (ATOVS) on board the new generation of National Oceanic and Atmospheric Adminisstration (NOAA) polar-orbiting satellites and the retrieval methods for temperature, humidity and wind profiles are given indetails. Meteorological mesoscale model and data assimilating methods are described briefly.The ATOVS processing software of SeaSpace / TeraScan Package for atmospheric temperature, humidity and wind retrieval profiles is tested and a batch program under UNIX is carried out to process the data automatically in order to add the products service of the satellite ground station of Ocean University of China to more users.In order to discuss the assimilation of the profile data retrieved from ATOVS into MM5 (5th meteorological mesoscale model), the simulations on the case of the route of Rananim typhoon occurred over the western Pacific ocean from 8 to 12, August 2004 are carried out. The method of data assimilation is Observation Nudging which is built in MM5. The result shows the complexity and calculational capacity meet to the application.