%0 Dataset
%T Monthly surface solar radiation data over China (2000-2017) by merging satellite cloud and aerosol data with ground-based sunshine duration data
%J National Cryosphere Desert Data Center
%I National Cryosphere Desert Data Center(www.ncdc.ac.cn)
%U http://www.ncdc.ac.cn/portal/metadata/ac27e876-72f4-419a-9655-3763d1ef9250
%W NCDC
%R 10.1594/PANGAEA.921847
%A  Kaicun
%K China;shortwave radiation;surface solar radiation
%X The surface incident solar radiation (Rs) is a key component of the surface radiation budget. It drives the global climate system, affects global energy balance, hydrology, and carbon cycling. Significant progress has been made in detecting changes in surface solar radiation (Rs) through meteorological observations, satellite retrieval, and reanalysis. However, each estimation method has its advantages and disadvantages. Previous studies have shown that solar radiation data derived from sunshine hours (SunDu) can provide reliable long-term solar radiation changes in China; However, these data are spatially discontinuous. Therefore, we merged the Rs data exported by SunDu with satellite exported cloud fraction (MODAL2 M CLD) and CERES SYN aerosol optical depth (AOD) data, and generated Rs data through geographically weighted regression method. This dataset provides monthly Rs data for China from 2000 to 2017, with a spatial resolution of 0.1 °.