Estimation of all-sky instantaneous surface incident shortwave radiation from Moderate Resolution Imaging Spectroradiometer data using optimization method

被引:39
|
作者
Zhang, Yi [1 ]
He, Tao [2 ]
Liang, Shunlin [1 ]
Wang, Dongdong [1 ]
Yu, Yunyue [3 ]
机构
[1] Univ Maryland, Dept Geog Sci, College Pk, MD 20742 USA
[2] Wuhan Univ, Sch Remote Sensing & Informat Engn, Wuhan 430079, Hubei, Peoples R China
[3] NOAA, NESDIS, Ctr Satellite Applicat & Res, College Pk, MD 20740 USA
基金
中国国家自然科学基金; 美国国家航空航天局;
关键词
Incident shortwave radiation; Optimization; Aerosol optical depth; Cloud optical depth; NON-LAMBERTIAN SURFACE; SOLAR-RADIATION; ALBEDO RETRIEVAL; SATELLITE DATA; HOT-SPOT; PRODUCTS; LAND; ENERGY; MODIS; MODEL;
D O I
10.1016/j.rse.2018.02.052
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Surface incident shortwave radiation (ISR) is a crucial parameter in the land surface radiation budget. Many reanalysis, observation-based, and satellite-derived global radiation products have been developed but often have insufficient accuracy and spatial resolution for many applications. In this paper, we propose a method based on a radiative transfer model for estimating surface ISR from Moderate Resolution Imaging Spectroradiometer (MODIS) Top of Atmosphere (TOA) observations by optimizing the surface and atmospheric variables with a cost function. This approach consisted of two steps: retrieving surface bidirectional reflectance distribution function parameters, aerosol optical depth (AOD), and cloud optical depth (COD); and subsequently calculating surface ISR. Validation against measurements at seven Surface Radiation Budget Network (SURFRAD) sites resulted in an R-2 of 0.91, a bias of -6.47 W/m(2), and a root mean square error (RMSE) of 84.17 W/m(2) (15.12%) for the instantaneous results. Validation at eight high-latitude snow-covered Greenland Climate Network (GC-Net) sites resulted in an R-2 of 0.86, a bias of 21.40 W/m(2), and an RMSE of 84.77 W/m(2) (20.96%). These validation results show that the proposed method is much more accurate than the previous studies (usually with RMSEs of 80-150 W/m(2)). We further investigated whether incorporating additional satellite products, such as the MODIS surface broadband albedo (MCD43), aerosol (MOD/MYNA), and cloud products (MOD/MYD06), as constraints in the cost function would improve the accuracy. When the AOD and COD estimates were constrained, RMSEs were reduced to 62.19 W/m(2) (12.12%) and 71.70 W/m(2) (17.74%) at the SURFRAD and GC-Net sites, respectively. This algorithm could estimate surface ISR with MODIS TOA observations over both snow-free and seasonal/permanent snow-covered surfaces. The algorithm performed well at high-latitude sites, which is very useful for radiation budget research in the polar regions.
引用
收藏
页码:468 / 479
页数:12
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