Global Performance of a Fast Parameterization Scheme for Estimating Surface Solar Radiation From MODIS Data
Global Performance of a Fast Parameterization Scheme for Estimating Surface Solar Radiation From MODIS Data
复制标题
根据 MODIS 数据估算地表太阳辐射的快速参数化方案的全局性能
DOI：
10.1109/tgrs.2017.2676164
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发表时间：
2016-12
影响因子：
8.2
通讯作者：
Niu Xiaolei
中科院分区：
文献类型：
--
作者：
Tang Wenjun;Yang Kun;Sun Zhian;Qin Jun;Niu Xiaolei
本文首次采用一种快速参数化方案S_（10）LUX，利用Terra和Aqua平台上的中分辨率成像光谱仪（MODIS）遥感产品估算瞬时地表太阳辐射（SSR）。该方案主要考虑了大气中云、气溶胶和气体的吸收和散射过程。利用地面辐射收支网（SURFRAD）的7个台站、华北平原（NCP）的4个台站和基线地面辐射网（BSRN）的40个台站的地面观测资料，对估算的瞬时SSR进行了评价。对这三个数据集的评价统计结果表明，相对均方根误差（RMSE）值的Scrum LUX是小于15%，16%和17%，分别。每日SSR来自通过时间尺度从基于MODIS的瞬时SSR估计，并验证对地面观测。在7个SURFRAD站、4个NCP站、40个BSRN站和90个中国气象局（CMA）辐射站，每日SSR估计的相对RMSE值约为16%。该方案的精度一般高于以前的算法，因此可以潜在地应用于地球静止卫星映射高分辨率SSR数据在未来。
A fast parameterization scheme named SUNFLUX is first used in this paper to estimate instantaneous surface solar radiation (SSR) based on products from the Moderate Resolution Imaging Spectroradiometer (MODIS) sensor onboard both Terra and Aqua platforms. The scheme mainly takes into account the absorption and scattering processes due to clouds, aerosols, and gas in the atmosphere. The estimated instantaneous SSR is evaluated against surface observations obtained from seven stations of the surface radiation budget network (SURFRAD), four stations in the North China Plain (NCP) and 40 stations of the baseline surface radiation network (BSRN). The statistical results for evaluation against these three data sets show that the relative root-mean-square error (RMSE) values of SUNFLUX are less than 15%, 16%, and 17%, respectively. Daily SSR is derived through temporal upscaling from the MODIS-based instantaneous SSR estimates, and is validated against surface observations. The relative RMSE values for daily SSR estimates are about 16% at the seven SURFRAD stations, four NCP stations, 40 BSRN stations, and 90 China Meteorological Administration (CMA) radiation stations. The accuracy of the scheme is generally higher than those of previous algorithms, and thus can be potentially applied on geostationary satellites for mapping high-resolution SSR data in the future.
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影响因子：
13.5
作者：
P. Wang;M. Sneep;J. Veefkind;P. Stammes;P. Levelt
通讯作者：
P. Wang;M. Sneep;J. Veefkind;P. Stammes;P. Levelt
影响因子：
--
作者：
Zhanqing Li;H. Leighton
通讯作者：
Zhanqing Li;H. Leighton
一种简单有效的算法，用于根据对地静止卫星数据估算每日全球太阳辐射
影响因子：
9
作者：
Ning Lu;Jun Qin;Kun Yang;Jiulin Sun
通讯作者：
Jiulin Sun
DOI：
10.1029/2004eo360007
发表时间：
2004-09
期刊：
Eos, Transactions American Geophysical Union
影响因子：
--
作者：
R. Pincus
通讯作者：
R. Pincus
影响因子：
--
作者：
N. Lu;Ronggao Liu;Jiyuan Liu;S. Liang
通讯作者：
N. Lu;Ronggao Liu;Jiyuan Liu;S. Liang