摘要
利用GPS水汽反演技术和GPS-IR技术进行降水分析及降水判定研究。首先,考虑到降水发生前后大气水汽含量、地面反射特性、GPS对流层延迟、信噪比(signal-to-noise ratio,SNR)振幅(A)会发生变化,分析GPS-PWV和SNR-A与降水的相关性,并联合两者进行降水判定。结果表明,降水量与GPS-PWV正相关,与SNR-A负相关;加入SNR-A数据可提高降水判定的预报率和正确率。基于SNR-A序列的波谷和GPS-PWV序列的波峰进行降水判定,判定降水的预报率约为70%~82%,正确率约为50%~60%。
This paper uses GPS water vapor retrieval and GPS-interferometric reflectometry(GPS-IR)technology for precipitation analysis and judgment.First,considering that before and after precipitation occurs,and that atmospheric water vapor content,ground reflection characteristics,GPS tropospheric delay,and signal-to-noise ratio(SNR)amplitude(A)will change,we analyze the correlation between GPS-PWV/SNR-A and precipitation,and combine the two to determine precipitation.The results show that precipitation is positively correlated with GPS-PWV and negatively correlated with SNR-A.The addition of SNR-A data can improve the forecast rate and accuracy for precipitation judgment.Based on the troughs of SNR-A sequence and the peaks of GPS-PWV sequence,in this work the forecast rate of precipitation judgment is about 70%-82%and the accuracy rate of precipitation judgment is about 50%-60%.
作者
王笑蕾
牛紫瑾
何秀凤
WANG Xiaolei;NIU Zijin;HE Xiufeng(School of Earth Sciences and Engineering,Hohai University,Nanjing 211100,China)
出处
《大地测量与地球动力学》
CSCD
北大核心
2021年第9期929-933,共5页
Journal of Geodesy and Geodynamics
基金
中央高校基本科研业务费专项资金(B200202015)
国家自然科学基金(42004018)
江苏省自然科学基金(BK20190496)。
关键词
GPS
水汽反演
信噪比
振幅
降水量
GPS
water vapor retrieval
signal-to-noise ratio
amplitude
precipitation