Abstract:Based on the existing tropopause empirical model, we discuss the influence of regional relative elevation on Tm model. Based on this, the h0Tm regression model of China region and the regional model h0Tm-Qz of Qinghai-Tibet plateau region are established. The results show that: 1) Taking ERA5 grid data as reference values, the root mean square error (RMS) of h0Tm model is 2.43 K, which is 1.15 K (32%) and 0.63 K (21%) higher than that of Bevis formula and GPT2w-1 model, respectively; 2) taking radiosonde data as reference values, the RMS of h0Tm model is 2.48 K, which is 1.19 K (32%) and 2.06 K (45%) higher than that of Bevis formula and GPT2w-1 model, respectively especially in western China, the h0Tm model shows more significant advantages; 3) the regional model h0Tm-Qz of Qinghai-Tibet plateau, which takes into account the relative elevation of the region, is better than the single factor (surface) model in this region. The accuracy of the single factor (Ts) regional model TsTm-Qz and Bevis formula is improved by 0.54 K (19%) and 2.50 K (51%), respectively.
WEI Haifu,CHEN Tianwei,CHEN Ming. A Weighted Mean Temperature Model Considering the Regional Relative Elevation for China[J]. jgg, 2021, 41(10): 1057-1062.