Clear-Sky Longwave Downward Radiation Estimation by Integrating MODIS Data and Ground-Based Measurements

被引:13
|
作者
Zhou, Wang [1 ,2 ]
Shi, Jiancheng [1 ]
Wang, Tianxing [1 ]
Peng, Bin [3 ,4 ]
Zhao, Rui [1 ,5 ]
Yu, Yuechi [1 ,2 ]
机构
[1] Jointly Sponsored Inst Remote Sensing & Digital E, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
[2] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
[3] Univ Illinois, Dept Nat Resources & Environm Sci, Urbana, IL 61801 USA
[4] Univ Illinois, Natl Ctr Supercomp Applicat, Urbana, IL 61801 USA
[5] Jilin Univ, Coll Geoexplorat Sci & Technol, Changchun 130000, Jilin, Peoples R China
关键词
Longwave downward radiation (LWDR); MODIS; multivariate adaptive regression splines (MARS) method; remote sensing; SURFACE RADIATION; TRANSFER MODEL; WATER-VAPOR; FLUX; TEMPERATURE; VALIDATION; RETRIEVAL; CLOUD; PROFILES; PLATEAU;
D O I
10.1109/JSTARS.2018.2878229
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Surface energy budget has great influence on earth surface biogeophysical and biogeochemical processes. As one of the components of surface energy budget, the longwave downward radiation (LWDR) is essential to many land applications. In this research, a new LWDR estimation scheme under clear sky by integrating MODIS thermal bands radiance and in situ measurements through the multivariate adaptive regression splines (MARS) has been proposed. The MODIS products and corresponding multi-network in situ LWDR observations under clear skies in 2004 were extracted for model training and cross-validation. The in situ LWDR observations from seven SURFRAD sites in 2008 were used to test the new method. In training phase, the cross-validation RMSE, bias, and R-square of the new method are, respectively, 24.66 W/m(2), -0.446 W/m(2), and 0.88 in the daytime and 23.16 W/m(2), -0.272 W/m(2), and 0.92 in the nighttime. The test results at the seven SURFRAD sites show that the proposed method has good performance, with RMSE, bias, and R-square of 17.15 W/m(2), 0.028 W/m(2), and 0.91 in the daytime and 14.08 W/m(2), -3.609 W/m(2), and 0.94 in the nighttime, respectively. More importantly, the error analysis reveals that the predicted residual errors of the proposed method have a weak correlation with related meteorological parameters at global scale, which reflects the stability and robustness of the new method.
引用
收藏
页码:450 / 459
页数:10
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