沙漠与绿洲气象2025，Vol.19Issue(3)：139-146,8.DOI:10.12057/j.issn.1002-0799.2311.14001
基于精密单点定位的大气可降水量反演及精度分析
Atmospheric Precipitable Water Vapor Retrieval and Precision Analysis Using Precise Point Positioning
摘要
Abstract
This study explores the retrieval of atmospheric Precipitable Water Vapor(PWV)using the Precise Point Positioning(PPP)algorithm with Global Navigation Satellite System(GNSS)data from Hechi,Baoshan,and Haikou stations.Six experimental tests were conducted to assess the impact of satellite data quality control on PWV retrieval accuracy,with results compared with sounding data and operational PWV products from the China Meteorological Administration.The findings reveal that effective quality control significantly enhances retrieval accuracy.By excluding satellite data with residual errors exceeding three times the threshold before filtering,and the satellite data with residual sigma values greater than two after filtering,the correlation coefficients with sounding data or PWV products increased by 0.03 to 0.25,while root mean square errors decreased by 0.54 to 10.7 mm.The highest retrieval accuracy was achieved by filtering satellites with residual errors exceeding the threshold prior to analysis,resulting in an average correlation coefficient above 0.93 and a mean bias of-1.26 to-1.91 mm.This approach effectively addresses the limitations of low temporal resolution in conventional PWV data.Compared to other products,the PWV retrieved using the PPP method also demonstrated improved sensitivity to short-term heavy precipitation events.Notably,it captured rapid PWV variations of 10 to 15 mm within 10 to 30 minutes before and after rainfall,providing a valuable auxiliary indicator for forecasting localized short-term heavy precipitation.关键词
GNSS/精密单点定位/大气可降水量/降水Key words
Global Navigation Satellite System(GNSS)/precise single point positioning/atmospheric precipitable water vapor/precipitation分类
天文与地球科学引用本文复制引用
吴琼,章毅之,刘雅楠..基于精密单点定位的大气可降水量反演及精度分析[J].沙漠与绿洲气象,2025,19(3):139-146,8.基金项目
中国气象局重点观测试验项目(SY2021032) （SY2021032）
江西省气象局面上项目(JX2022M04) （JX2022M04）
江西省气象局省所改革专项(JX2023Z11) （JX2023Z11）
