首页|期刊导航|Advances in Climate Change Research|A classification‒regression‒correction(CRC)strategy for precipitation merging with gauge-independent spatial autocorrelation predictors
Advances in Climate Change Research2025,Vol.16Issue(6):P.1174-1190,17.DOI:10.1016/j.accre.2025.09.007
A classification‒regression‒correction(CRC)strategy for precipitation merging with gauge-independent spatial autocorrelation predictors
摘要
关键词
CRC/Precipitation merging/Machine learning/Spatial autocorrelation predictor分类
天文与地球科学引用本文复制引用
Rui GAO,Ling-Jie LI,Yin-Tang WANG,Zhao-De YUN,Zhi-Xin PENG,Guo-Ping LIU,Zi-Jiang ZHOU..A classification‒regression‒correction(CRC)strategy for precipitation merging with gauge-independent spatial autocorrelation predictors[J].Advances in Climate Change Research,2025,16(6):P.1174-1190,17.基金项目
funded by the National Key R&D Program of China(2022YFC3202802) (2022YFC3202802)
the National Science Foundation of China(52009081) (52009081)
the Nanjing Hydraulic Research Institute Graduate Dissertation Fund(Yy524001) (Yy524001)
Special funded project for basic scientific research operation expenses of the Central Public Welfare Scientific Research Institutes of China(Y523010,Y524017). (Y523010,Y524017)