卫星遥感地表植被及其在华南暴雨中尺度数值模拟中的应用试验  

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

作　　者：王鹏云[1] 肖乾广[2] 林永辉[1] 肖岚[2] 

机构地区：[1]中国气象科学研究院,北京100081 [2]国家卫星气象中心,北京100081

出　　处：《应用气象学报》2001年第3期287-296,共10页Journal of Applied Meteorological Science

基　　金：国家攀登专项 95 专 0 3;国家自然科学基金项目 4 97351 80;国家重点基础研究发展规划项目"中国暴雨"G1 9980 4 0 90 7

摘　　要：将我国植被资料和NCAR资料分别用于非静力平衡中尺度模式MM5,对 1 998年 5月2 3～ 2 4日华南暴雨进行数值模拟试验 ,比较其对降水量和动力热力场预报的影响 ,结果表明 ,当网格格距为 45km时 ,二者差别很小 ,当网格格距减小到 5～ 1 5km ,预报降水量最大值增加了 1 2 %～ 1 4% ,更接近观测值 ,同时对低层大气热力动力结构也有一定影响。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.

关 键 词：地表植被 中尺度数值模拟 暴雨 卫星遥感 降水量 动力热力场预报 网格格距 

分 类 号：P458[天文地球—大气科学及气象学]