LAND VEGETATION RETRIVING FROM SATELLITE REMOTE SENSING AND APPLICATION TEST IN MESOSCALE SIMULATION FOR HEAVY RAINFALL OF SOUTH CHINA

The Land vegetation data set retrieved from NOAA satellite remote sensing data in the HUAMEX project during May and June 1998 is applied in the PSU/NCAR mesoscale model (MM5) to simulate a heavy rainfall case during 23-24 May 1998 and compared with the NCAR land-use data set. Results show that with our land vegetation data, the simulated 24 h accumulated rainfall increased about 12%-14% for a grid spacing of 5-15 km comparing with NCAR data. The dynamic and thermodynamic structures at the low levels are also affected. For lager grid spacing (45 km), the effects were not obvious.