Variability and trends in land surface longwave radiation fluxes from six satellite and reanalysis products

被引:6
作者
Xu, Jianglei [1 ]
Liang, Shunlin [2 ]
He, Tao [1 ]
Ma, Han [2 ]
Zhang, Yufang [1 ]
Zhang, Guodong [1 ]
Liang, Hui [1 ]
机构
[1] Wuhan Univ, Sch Remote Sensing & Informat Engn, Wuhan, Peoples R China
[2] Univ Hong Kong, Dept Geog, Hong Kong 999077, Peoples R China
基金
中国国家自然科学基金;
关键词
Surface longwave radiation; satellite remote sensing; spatiotemporal distributions; annual mean value; long-term variability; GLOBAL SOLAR-RADIATION; ARCTIC AMPLIFICATION; AIR-TEMPERATURE; QUALITY-CONTROL; CLEAR; CERES; CLIMATE; IRRADIANCE; MODIS; VALIDATION;
D O I
10.1080/17538947.2023.2239795
中图分类号
P9 [自然地理学];
学科分类号
0705 ; 070501 ;
摘要
Earth surface longwave radiation (SLR), including downward (DLR), upward (ULR), and net longwave radiation (NLR), significantly impacts the surface radiation budget and global climate evolution. However, the spatiotemporal variation in SLR remains poorly understood. In this study, three satellite products (GLASS-MODIS V40, GLASS-AVHRR, and CERES-SYN) and three reanalysis datasets (ERA5, MERRA-2, and GLDAS) were validated using ground measurements from 288 sites at seven observation networks. The mean biases and root mean square errors of the monthly DLR (ULR, NLR) estimates from the six products were -6.36 (-3.56, -2.86) Wm(-2) and 16.63 (14.33, 13.38) Wm(-2), respectively. Large differences in the spatial distribution of the SLR were mainly observed at high-latitude, high-altitude and desert/barren-covered regions. Large interannual variability was detected at high latitudes. GLASS-AVHRR and ERA5 better captured the long-term variability in DLR and ULR, whereas GLASS-AVHRR and MERRA-2 better detected trends in NLR. An increasing trend in DLR and ULR was observed between 1982 and 2015, followed by a decreasing trend from 2016 to 2021; the NLR flux did not exhibit a significant trend. Overall, the GLASS-AVHRR and ERA5 SLR estimates were more accurate and stable than those of the other products in accuracy, spatiotemporal distribution, and trend analysis.
引用
收藏
页码:2912 / 2940
页数:29
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