论文推荐|中国矿业大学（北京）杨飞副教授：基于风云静止轨道干涉红外探测仪（GIIRS）的加权平均温度（Tm）反演新方法

Atmospheric weighted mean temperature (Tm) is an important parameter in the Global Navigation Satellite System (GNSS) meteorology, essential for retrieving precipitable water vapor (PWV). The FengYun-4 satellite (FY-4) carries Geostationary Interferometric Infrared Sounder (GIIRS), which realizes the transition from two-dimensional to three-dimensional detection of the vertical structure of the atmosphere in geostationary orbit, providing a more convenient and accurate data source for the inversion of Tm. The study presents a novel approach for deriving the Tm based on the GIIRS products of FengYun-4A satellite (FY-4A) and FengYun-4B satellite (FY-4B). The Tm calculated from the radiosonde data is utilized as reference to assess the performance of FY-4A and FY-4B, which demonstrates that the GIIRS equipped on FY-4 can provide a new way to obtain the Tm. The numerical results show that the mean absolute error (MAE) and root mean square error (RMSE) are 1.65/ 2.06 K and 1.38/ 1.73 K for FY-4A and FY-4B, respectively. The different performance of FY-4A and FY-4B on Tm are also observed from the analysis of the geographical distribution, seasons and epochs. Specifically, the RMSE distribution of FY-4A at different stations ranges from 1.08 to 3.47 K, while the distribution of FY-4B is more concentrated between 1.37 and 2.70 K. The accuracy of FY-4 A deteriorates as increasing latitude, while the phenomenon is not obvious for FY-4B. Moreover, FY-4 A performs slightly better at UTC 0:00 than at UTC 12:00, while FY-4B has a slightly better performance in autumn than in other seasons.