GNSS对流层延迟推算可降水量的季节转换模型研究

摘要

利用台湾桃园(TWTF)站气象数据和对流层延迟数据开展可降水量和对流层延迟序列的相关性分析,显示两者存在显著正相关特性.利用回归分析建立季节和全年转换模型,并利用各季节降水和无降水期间的数据对模型进行检验.结果显示,各季节GNSS可降水量与线性回归可降水量的RMS值小于1.5 mm,最大误差不超过3.3 mm,满足GNSS气象学的基本要求.%The regional model of zenith tropospheric delay and precipitable water vapor can help to solve the problem of calculating precipitable water vapor when pressure and temperature data are not available.In this paper,we carry out the correlation analysis of zenith tropospheric delay and precipitable water vapor by the Taiwan Taoyuan (TWTF) station meteorological and zenith tropospheric delay data.Results show there is a significant positive correlation between the two.Further,the seasonal and annual transformation models are established using regression analysis,and seasonal precipitation and non-precipitation data are used to verify the conversion model.The RMS value of GNSS-PWV and linear regression-PWV is less than 1.5 mm,and the maximum error is not more than 3.3 mm.This model is proven to meet the basic requirements of GNSS meteorology.