Significant discrepancies of land surface daily net radiation among ten remotely sensed and reanalysis products

作者：Xiuwan Yin, Bo Jiang, Shunlin Liang, Shaopeng Li, Xiang Zhao, Qian Wang, Jianglei Xu, Jiakun Han, Hui Liang, Xiaotong Zhang, Qiang Liu, Yunjun Yao, Kun Jia, Xianhong Xie · 发表于：International Journal of Digital Earth · 年份：2023 · DOI：10.1080/17538947.2023.2253211 · 被引用次数：21 · 研究领域：Climate variability and models、Atmospheric aerosols and clouds、Meteorological Phenomena and Simulations

Land surface all-wave net radiation (Rn) is crucial in determining Earth's climate by contributing to the surface radiation budget. This study evaluated seven satellite and three reanalysis long-term land surface Rn products under different spatial scales, spatial and temporal variations, and different conditions. The results showed that during 2000-2018, Global Land Surface Satellite Product (GLASS)-Moderate Resolution Imaging Spectroradiometer (MODIS) performed the best (RMSE=25.54 Wm-2, bias=−1.26 Wm-2), followed by ERA5 (the fifth-generation of European Centre for Medium-Range Weather Forecast Reanalysis) (RMSE=32.17 Wm-2, bias=−4.88 Wm-2) and GLASS-AVHRR (Advanced Very-High-Resolution Radiometer) (RMSE=33.10 Wm-2, bias=4.03 Wm-2). During 1983-2018, GLASS-AVHRR and ERA5 ranked top and performed similarly, with RMSE values of 31.70 and 33.08 Wm-2 and biases of −4.56 and 3.48 Wm-2, respectively. The averaged multi-annual mean Rn over the global land surface of satellite products was higher than that of reanalysis products by about 10∼30 Wm-2. These products differed remarkably in long-term trends variations, particularly pre-2000, but no significant trends were observed. Discrepancies were more frequent in satellite data, while reanalysis products showed smoother variations. Large discrepancies were found in regions with high latitudes, reflectance, and elevation which could be attributed to input radiative components, meteorological variables (e.g., cloud properties, aeros...