摘要
基于全球定位系统(GPS)的大气可降水量(PWV)反演,有时不可避免地存在气象数据的缺失,本文提出使用GPT2w模型计算气温、气压参数,结合连续运行参考站(CORS)观测数据进行PWV反演。首先利用ZYYY探空站的实测数据对GPT2w模型获取的气压、气温参数的精度进行检验;其次将获取参数与CORS站观测数据对该地区进行PWV反演。结果表明,在缺少气象参数的情况下,使用GPT2w模型能够计算得到高精度可靠的气象数据,同时利用计算气象数据反演PWV的精度能够达到毫米级,可为降水预报提供参考。
When inversing the Precipitable Water Vapor(PWV)based on the Global Positioning System(GPS),sometimes there is inevitably a lack of meteorological data.This paper proposes to use the temperature and pressure parameters calculated by the GPT2w model,combined with the observation data of Continuously Operating Reference Stations(CORS),to conduct PWV inversion.Firstly,the accuracy of the air pressure and temperature parameters obtained from the GPT2w model is inspected by using the measured data of ZYYY sounding station.Secondly,the parameters obtained and the observation data of CORS station are used for PWV inversion in this area.The results show that in the absence of meteorological parameters,the GPT2w model can be used to calculate high-accurate and reliable meteorological data,and the accuracy of PWV inversion using the calculated meteorological data can reach the millimeter level,providing positive reference for precipitation forecast.
作者
石磊
SHI Lei(Shaoxing Land Survey and Mapping Brigade of Shangyu District,Shaoxing 312300,China)
出处
《测绘与空间地理信息》
2025年第2期125-128,共4页
Geomatics & Spatial Information Technology
关键词
大气可降水量
GPT2w模型
气象数据
连续运行参考站
精度分析
precipitable water vapor
GPT2w model
meteorological data
continuously operating reference stations
precision analysis
