大地测量与地球动力学2026，Vol.46Issue(5)：569-578,10.DOI:10.14075/j.jgg.2025.06.215
基于地基GNSS资料的青海省典型强降水过程水汽特征
Characteristics of PWV during Typical Heavy Rainfall Events in Qinghai Based on Grourd-Based GNSS Data
摘要
Abstract
An empirical atmospheric weighted average temperature(Tm)model for Qinghai was estab-lished based on data from 7 radiosonde stations in Qinghai from 2019 to 2022.This model was then used to retrieve precipitable water vapor(PWV)from 42 GNSS stations in the province for analyzing the spatiotemporal characteristics of water vapor during multiple heavy rainfall processes in August 2022.The results show that:1)The newly established Tm model has a mean bias of 0.4 K and a root mean square error(RMSE)of 3.41 K,indicating its accuracy is significantly superior to the Bevis model and China-regional models,while being comparable to that of the single-station models.2)The GNSS PWV retrieved based on the localized Tm model highly agrees with radiosonde results(correla-tion coefficient of 0.98).3)Before heavy rainfall occurs,PWV exhibits a rapid increase sustained for several hours,and its 3-hour variation(PWV*)remains positive,whereas before weak rainfall,PWV shows fluctuating changes.4)Short-term heavy rainfall is likely to occur when the regional PWV value exceeds 34 mm and PWV* is positive;conversely,rainfall intensity is lower.关键词
GNSS气象学/加权平均温度/大气可降水量/青海强降水Key words
GNSS meteorology/weighted average temperature/precipitable water vapor/heavy rain in Qinghai分类
天文与地球科学引用本文复制引用
余洋,万蓉,何明琼,付志康,王华,刘冲..基于地基GNSS资料的青海省典型强降水过程水汽特征[J].大地测量与地球动力学,2026,46(5):569-578,10.基金项目
青海省科技成果转化专项(2023-SF-111) （2023-SF-111）
湖北省气象局科研项目(2025Y08) （2025Y08）
中国气象局气溶胶与云降水重点实验室开放课题(KDW2413) （KDW2413）
