大地测量与地球动力学2026，Vol.46Issue(6)：702-709,8.DOI:10.14075/j.jgg.2025.08.295
基于XGBoost模型的广西区域PWV估算及极端降雨分析
Estimation of PWV and Analysis of Extreme Rainfall in Guangxi Region Based on XGBoost Model
摘要
Abstract
Aiming at the limitation of real/near-real-time GNSS PWV retrieval under missing meteor-ological parameters,three PWV estimation models without the need for measured meteorological pa-rameters were established in the Guangxi region based on the XGBoost model.First,the XGBZ-PWV model was developed with inputs including station time(DOY and HOD),location(Longitude,Lati-tude,and Height),and GNSS ZTD,and the output feature being GNSS PWV.Then,based on the XGBZ-PWV model,two empirical PWV values were incorporated to establish the XGBZG-PWV and XGBZE-PWV models,respectively.For comparison,the GPT3 model was used to provide pressure and temperature for PWV retrieval based on GNSS ZTD(GPT3-PWV model).The accuracy of the established models was validated using GNSS PWV retrieved from GNSS ZTD,ERA5 surface pres-sure,and temperature in the Guangxi region in 2022 as the reference value.The results show that,compared to the GPT3-PWV model,the estimation accuracy of the XGBZ-PWV,XGBZG-PWV,and XGBZE-PWV models improved by 22.98％,29.03％,and 31.45％,respectively,with the XGBZE-PWV model performing the best.During two extreme rainfall events in 2022,the spatiotemporal evo-lution characteristics of PWV and rainfall were analyzed.The results demonstrate that the XGBZE-PWV model maintains good applicability even under extreme weather conditions.关键词
ZTD/PWV/GNSS/XGBoost/降雨Key words
ZTD/PWV/GNSS/XGBoost/rainfall分类
天文与地球科学引用本文复制引用
闫立伟,林买金,谢劭峰,黄良珂,李向红,方琼玉..基于XGBoost模型的广西区域PWV估算及极端降雨分析[J].大地测量与地球动力学,2026,46(6):702-709,8.基金项目
广西自然科学基金(2023GXNSFAA026434). （2023GXNSFAA026434）
