Zhu Mingwei, Jin Shuanggen, Di Di
Appl Opt. 2022 Dec 1;61(34):10159-10170. doi: 10.1364/AO.472382.
The correlated -distribution (CKD) is a fast radiative transfer model and is often used in atmospheric absorption simulation. In the paper, we apply two automatic CKD methods to satellite brightness temperature simulations from the Fengyun 4A Advanced Geostationary Radiation Imager (AGRI) in infrared channels, namely, the finding point method (FPM) and the re-optimized method (ROM). In the calculation, we used Radiative Transfer for the Television Observation Satellite Operational Vertical Sounder (RTTOV) as the comparison, and we use line-by-line (LBL) integration as the reference. Compared with LBL in the brightness temperature simulation of real profiles, the errors of FPM in 7.1 µm and 13.5 µm channels are 0.22 K, -0.13 for mean error and 0.3128 K, 0.2184 K for root mean square error (RMSE), respectively, which are larger than that of RTTOV, with 0.16 K, 0.02 K, 0.2144 K, and 0.1226 K, respectively. In the other channels, the results show that of ROM has the highest accuracy and RTTOV has the lowest accuracy. In general, FPM and ROM can achieve very good accuracy in satellite infrared remote sensing.
相关分布（CKD）是一种快速辐射传输模型，常用于大气吸收模拟。在本文中，我们将两种自动CKD方法应用于风云四号A星先进静止轨道辐射成像仪（AGRI）红外通道的卫星亮温模拟，即找点法（FPM）和重新优化法（ROM）。在计算中，我们使用电视观测卫星业务垂直探空仪辐射传输模型（RTTOV）作为比较，并使用逐线（LBL）积分作为参考。在真实廓线的亮温模拟中，与LBL相比，FPM在7.1微米和13.5微米通道的误差分别为平均误差0.22K、-0.13K，均方根误差（RMSE）为0.3128K、0.2184K，均大于RTTOV，RTTOV的平均误差分别为0.16K、0.02K，RMSE分别为0.2144K、0.1226K。在其他通道中，结果表明ROM的精度最高，RTTOV的精度最低。总体而言，FPM和ROM在卫星红外遥感中可以达到非常好的精度。
