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Impacts of Using State-of-the-Art Multivariate Bias Correction Methods on Hydrological Modeling Over North America 期刊论文
WATER RESOURCES RESEARCH, 2020, 56 (5)
作者:  Guo, Qiang;  Chen, Jie;  Zhang, Xunchang John;  Xu, Chong-Yu;  Chen, Hua
收藏  |  浏览/下载：8/0  |  提交时间：2020/05/13
multivariate bias correction methods  hydrological modeling  intervariable correlation  climate regimes  North America  
A new two-stage multivariate quantile mapping method for bias correcting climate model outputs 期刊论文
CLIMATE DYNAMICS, 2019, 53: 3603-3623
作者:  Guo, Qiang;  Chen, Jie;  Zhang, Xunchang;  Shen, Mingxi;  Chen, Hua;  Guo, Shenglian
收藏  |  浏览/下载：6/0  |  提交时间：2019/11/27
Bias correction  Inter-variable correlation  Statistical downscaling  Climate change  Global climate model  
Bias correcting climate model multi-member ensembles to assess climate change impacts on hydrology 期刊论文
CLIMATIC CHANGE, 2019, 153 (3) : 361-377
作者:  Chen, Jie;  Brissette, Francois P.;  Zhang, Xunchang J.;  Chen, Hua;  Guo, Shenglian;  Zhao, Yan
收藏  |  浏览/下载：6/0  |  提交时间：2019/11/26
Trends and variability of daily precipitation and extremes during 1960-2012 in the Yangtze River Basin, China 期刊论文
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2017, 37 (3)
作者:  Guan, Yinghui;  Zheng, Fenli;  Zhang, Xunchang;  Wang, Bin
收藏  |  浏览/下载：8/0  |  提交时间：2019/04/09
Yangtze River Basin  precipitation extremes  trends  variability  climate indices