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    张晓通等:Evaluation of the Reanalysis Surface Incident Shortwave Radiation Products from NCEP, ECMWF, GSFC, and JMA Using Satellite and Surface Observations

    作者:来源:发布时间:2016-05-30
     Evaluation of the Reanalysis Surface Incident Shortwave Radiation Products from NCEP, ECMWF, GSFC, and JMA Using Satellite and Surface Observations
    作者:Zhang, XT (Zhang, Xiaotong)[ 1 ] ; Liang, SL (Liang, Shunlin)[ 2 ] ; Wang, GX (Wang, Guoxin)[ 1 ] ; Yao, YJ (Yao, Yunjun)[ 1 ] ; Jiang, B (Jiang, Bo)[ 1 ] ; Cheng, J (Cheng, Jie)[ 1 ]
    REMOTE SENSING
    卷: 8  期: 3
    DOI: 10.3390/rs8030225
    出版年: MAR 2016
    摘要
    Solar radiation incident at the Earth's surface (R-s) is an essential component of the total energy exchange between the atmosphere and the surface. Reanalysis data have been widely used, but a comprehensive validation using surface measurements is still highly needed. In this study, we evaluated the R-s estimates from six current representative global reanalyses (NCEP-NCAR, NCEP-DOE; CFSR; ERA-Interim; MERRA; and JRA-55) using surface measurements from different observation networks [GEBA; BSRN; GC-NET; Buoy; and CMA] (674 sites in total) and the Earth's Radiant Energy System (CERES) EBAF product from 2001 to 2009. The global mean biases between the reanalysis R-s and surface measurements at all sites ranged from 11.25 W/m(2) to 49.80 W/m(2). Comparing with the CERES-EBAF R-s product, all the reanalyses overestimate R-s, except for ERA-Interim, with the biases ranging from -2.98 W/m(2) to 21.97 W/m(2) over the globe. It was also found that the biases of cloud fraction (CF) in the reanalyses caused the overestimation of R-s. After removing the averaged bias of CERES-EBAF, weighted by the area of the latitudinal band, a global annual mean R-s values of 184.6 W/m(2), 180.0 W/m(2), and 182.9 W/m(2) were obtained over land, ocean, and the globe, respectively.
    通讯作者地址: Zhang, XT (通讯作者)
    Beijing Normal Univ, Sch Geog, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China.
    地址:
    [ 1 ] Beijing Normal Univ, Sch Geog, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China
    [ 2 ] Univ Maryland, Dept Geog Sci, College Pk, MD 20742 USA
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