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用地基GPS资料分析大气可降水汽总量 被引量:25

ANALYSIS OF INTEGRATED PRECIPITATION WATER VAPOR SENSED BY GROUND-BASED GPS
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摘要 利用'中国地壳运动监测网络'和三峡监测网的地基GPS资料,通过Bernese软件以及根据Bevis等和Rocken等水汽解算原理编制的水汽解算软件,获得了武汉、巴东、兴山、泸州等长江流域测站大气可降水汽总量分布和时间间隔为2小时的GPS遥感大气可降水汽序列,并与站点雨量及区域面雨量进行对比分析,结果表明:地基GPS遥感水汽量变化与地面降水有很好的相关性,而且GPS遥感水汽变化序列峰值对应于强降水提前了8~22小时,有助于强降水特别是突发性强降水的预测;多个站点的GPS遥感水汽总量联合分析,对于区域水汽总量变化研究有一定意义. On the basis of the GPS data from China Crust Motion Monitoring Network and Three Gorges Crust Deformation Monitoring Network, distribution and the time series at interval of 2h of integrated Precipitation Water Vapor(PWV) sensed by GPS at Wuhan, Badong, Xinshan, and Luzhou sites were got by use of Bernese software and PWV retrieval software based on the algorithmic of Bevis and Rocken , and were compared with the 6h surface observations of rain at related sites and areas. Results show that the PWV are very correlative with the surface rain observations, it is 8-22 hours that the peaks of PWV appeared ahead to severe precipitations, so PWV sensed by GPS can be used for forecasting severe rainfall. In addition,combined analysis of on multi-site PWV observations may help us research the change of total quantity of regional water vapor.
出处 《大地测量与地球动力学》 CSCD 北大核心 2005年第3期121-124,共4页 Journal of Geodesy and Geodynamics
基金 科技部公益研究专项(2004DIB3J117) 湖北省自然科学基金
关键词 地基GPS 大气可降水汽量 遥感 强降水 相关性 ground-based GPS, precipitation water vapor(PWV), remote sensing, severe rainfull, correlativity
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