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利用微波做短时强降水估计
引用本文:季良达,张凤英,李小龙.利用微波做短时强降水估计[J].海洋预报,2004,21(1):70-74.
作者姓名:季良达  张凤英  李小龙
作者单位:国家卫星气象中心,北京,100081
摘    要:本文主要是利用NOAA-16气象卫星的AMSU-B微波仪器(5个通道)所接收到的2002年8月6日03时(北京时)的图像做短时的强降水估计。通过对微波图像和红外云图以及6h降雨量的分析,我们可清楚的看到,利用AMSU-B的微波图像可较为准确分析出中小尺度微波图所在的位置,和在各层次的强弱以及该系统水汽含量的垂直结构等。另外,通过分析也可看出,利用微波图像做短时的强降水估计,除看微波图像外,还应利用红外云图分析云团生命史和各个阶段及其移向、移速等才可较为近似估计出强降水量的大小。

关 键 词:微波  强降水  云量  估计  极轨气象卫星
文章编号:1003-0239(2004)01-0070-05
修稿时间:2003年3月4日

ESTIMATE SHORT TIME RAINFULL BY USING MICROWAVE DATA
JI Liang-da,ZHANG Feng-ying,LI xiao-long.ESTIMATE SHORT TIME RAINFULL BY USING MICROWAVE DATA[J].Marine Forecasts,2004,21(1):70-74.
Authors:JI Liang-da  ZHANG Feng-ying  LI xiao-long
Abstract:In this paper, the short time rainfull estimated by using microwave data from NOAA-16 satellite 5 channel advanced microwave sounding unit model B(called AMSU- B) at 03 h (Beijing time) of Aug. 6, 2002 is described. According to analysis of microwave and IR images compared with 6h rainfull observations, it can be seen that the position of middle or small scale rainfull can be identified more correctly, and so do different intensity at different level (channel), and the vertical distribution of water vapor content from the synoptic system on by using AMSU-B image data. Also, it can be seen through analysis that to estimate short time rain-full with AMSU-B image data, the IR image should be used to identify cloud mass life and moving direction and speed at different stage, and then the rainfull may be estimated more correctly.
Keywords:microwave  rainfall  cloudiness  estimate  
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