利用2009年7月和9月塔中站的地基GPS观测数据,运用GAMIT软件解算反演的大气水汽含量与局地降水之间的关系进行了分析。得到了塔克拉玛干沙漠腹地大气水汽含量的变化与降水的相互关系,这对于气象研究以及天气预报有着重要意义。结果表明:48hGPS遥感的大气水汽含量增量和本站是否发生降水关系密切,大气水汽总量最大值出现时刻与地面小时降水有很好的相关性。采用前期的大气水汽总量平均值和短时大气水汽总量增量2个条件进行降水的判断,认为降水是否出现与水汽的高值区有很好的对应美系。
The relationship between GPS precipitable water vapor (PWV) and local precipitation are preliminarily analyzed using the GPS data of Taklimakan Desert during July and September in 2009, which were processed by GAMIT software. Further, the variation of PWV and the relationship between PWV and rainfall in Taklimakan Desert are also discussed in this paper, which are beneficial to the weather study and weather forecast. The results indicated that: 48-hour increment of GPS PWV have a good relationship with local precipitation. There is certain relationship between the moment of the maximum of PWV and precipitation. Taking the above average of PWV and the increment in PWV as the judging conditions, it could be determined that appearance of precipitation have good relationship with the zone with high PWV.