Abstract:This paper uses sounding data from 2015 to 2017 to establish a China regional Tm model(BET model) that considers surface temperature, surface water vapor pressure, elevation and latitude. Using the Tm data of sounding station in 2018 as a reference value, we analyze the accuracy of BET model, and compare it with the Bevis and GPT3 models. The results show that the average annual RMSE and bias of BET model are 3.15 K and 0.04 K, respectively. Compared with the Bevis model, the GPT3 models with resolutions of 1°×1° and 5°×5°, the average annual RMSE decreases by 29.2%, 32.8%, and 39.1%; the average annual bias decreases by 96.4%, 96.7%, and 97.4%, respectively. The accuracy and stability of the model at different elevations and latitudes in China are better than the Bevis and GPT3 models.
LI Haojie,LIU Lilong,HUANG Liangke et al. Refinement of Tm Model Considering the Influence of Multi-Factors in China Region[J]. jgg, 2022, 42(4): 393-397.