SPATIAL CORRECTION OF FY-4A SURFACE SOLAR RADIATION BASED ON RANDOM FOREST ALGORITHM
FY-4A AGRI full disk surface solar radiation(SSI),cloud fraction ratio(CFR),cloud mask(CLM)and cloud type(CLT)products are used to construct feature vectors and the random forest algorithm is used to carry out the research on hourly spatial correction of FY-4A SSI products.The results show that the random forest algorithm has a significant role in improving the spatial distribution accuracy of FY-4A SSI products,the correlation coefficient,average deviation and average absolute error are improved to varying degrees.It can also solve the overestimation of FY-4A SSI products and the no observation problem when the solar zenith angle is greater than 70°of FY-4A SSI products,the availability of FY-4A SSI products in high latitudes is improved effectively.
solar irradiancesatellite dataretrievalspatial correctionrandom forest
NETL
NSTL
万方数据
维普
