地基GNSS实时FY-4A分层水汽校正  

Real-time correction of FY-4A layer water vapor using ground-based GNSS

作　　者：陈新欣 张卫星 楼益栋[1] CHEN Xinxin;ZHANG Weixing;LOU Yidong(GNSS Research Center,Wuhan University,Wuhan 430079,China)

机构地区：[1]武汉大学卫星导航定位技术研究中心,武汉430072

出　　处：《导航定位学报》2025年第2期66-76,共11页Journal of Navigation and Positioning

基　　金：国家自然科学基金项目(42174027);中国气象局流域实验室开发基金项目(2023BHR-Z02);中央高校基本科研项目(2042022kf1198);湖北省重大科技攻关项目(尖刀2023BAA026)。

摘　　要：为了进一步充分利用风云四号A星(FY-4A)水汽产品高空间分辨率和垂直分层信息,提出一种地基全球卫星导航系统(GNSS)实时FY-4A分层水汽校正方法:结合GNSS水汽产品精度高、不受天气影响的优点,提出使用支持向量回归(SVR)方法,利用GNSS水汽数据对河南省2021年7月13日至25日的FY-4A大气水汽总量及分层水汽含量实时产品进行校正。结果表明,在正常天气和多云天气下,校正后的产品在整层水汽,即大气可降水量(PWV)方面的精度较FY-4A产品可分别提升15.58%和15.33%;分层水汽(LPW)校正产品在各高度层也有不同程度的精度提升,最高可达12%;同时,SVR模型在填补FY-4A数据空白区域方面,展现出预测精度和稳定性,可有效提高FY-4A实时分层水汽产品的精度,优于传统的线性插值方法,能够为大气水汽数据的多源融合提供参考。In order to further fully utilize the high spatial resolution and vertical stratification information of the water vapor products of Fengyun-4 A satellite(FY-4A),the paper proposed a real-time correction method of FY-4A layer water vapor using ground-based global navigation satellite system(GNSS):combining the advantages of high accuracy and weather resistance of GNSS water vapor products,the method of support vector regression(SVR)was used to calibrate the real-time products of FY-4A atmospheric water vapor total and stratification water vapor content in Henan Province from July 13 to 25,2021 using GNSS water vapor data.Results showed that under normal and cloudy weather conditions,the accuracy of the corrected product in terms of whole layer water vapor,that is,precipitable water vapor(PWV)would be increased by 15.58%and 15.33%,respectively,compared to the FY-4A product;meanwhile,the layered water vapor(LPW)calibration products would have varying degrees of accuracy improvement at different height levels,with a maximum of 12%;at the same time,the SVR model would demonstrate high prediction accuracy and stability in filling the gaps in FY-4A data,effectively improving the accuracy of real-time layered water vapor products in FY-4A,surpassing traditional linear interpolation methods,and providing a reference for multi-source fusion of atmospheric water vapor data.

关 键 词：水汽融合 风云4号A星(FY-4A) 支持向量回归(SVR) 分层水汽(LPW) 

分 类 号：P228[天文地球—大地测量学与测量工程]