Abstract:We evaluate the performance of Tm derived from ERA5 and MERRA-2 reanalysis data over China using 89 radiosonde stations data in 2017, and analyze the temporal and spatial variation characteristics of bias and RMSE of Tm calculated from ERA5 and MERRA-2 reanalysis data. The results show that: 1) The Tm calculated by ERA5 and MERRA-2 reanalysis data have the annual bias of 0.41 K and 0.10 K, and annual RMSE of 1.26 K and 1.34 K when compared with Tm derived from radiosonde stations, respectively. 2) The bias and RMSE of Tm calculated from ERA5 and MERRA-2 reanalysis data show similar temporal and spatial variation characteristics. For the characteristics of temporal variation, the bias and RMSE of Tm calculated from two reanalysis data generally show high precision in summer but low precision in winter. Moreover, Tm calculated from ERA5 reanalysis data shows positive bias in the whole year, while the MERRA-2 reanalysis data shows negative bias in summer and positive bias in other time. For the characteristics of spatial variation, there is no obvious variation characteristics in altitude. However, the RMSE shows an increasing trend with the increase of latitude, and generally remain in 2.5 K.
XIE Shaofeng,WANG Yijie,HUANG Liangke et al. Accuracy Analysis of Tm Calculated by ERA5 and MERRA-2 Reanalysis Data over China[J]. jgg, 2021, 41(8): 771-776.