Linear analysis of Tm with latitude and altitude in China and model research
The traditional Bevis model has system errors and low accuracy in China. Therefore,a Tm multi-factor regression model added with the latitude and altitude parameters of stations was proposed. Based on the observation data from 70 sounding stations in China,firstly,the variation of the correlation coefficients of Tm,latitude φ,and altitude h with time was investigated,and the variation of the linear fitting coefficients k and b of Tm,latitude φ,and altitude h with time was studied,respectively.Then,based on the Tm-Ts single-factor regression model,latitude and altitude parameters were added,and the fitting coefficient was expressed by the day of year(DOY).The Tm multi-factor regression model of the Chinese region was obtained.Finally,the verification was conducted using sounding data from 2018.The results indicate that the model greatly weakens the system error and improves the accuracy by 19.8％,indicating its higher practicality in China.
weighted mean temperaturelinear analysisprecipitable water vaportemperature modelmulti-factor regression model
国家科技期刊平台
NSTL
万方数据
