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REPLY TO ZHANG ET AL.: Using long-term all-available Landsat data to study water bodies over large areas represents a paradigm shift 期刊论文
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2020, 117 (12) : 6310-6311
作者:  Feng, Shuailong;  Liu, Shuguang;  Huang, Zhihong;  Jing, Lei;  Zhao, Meifang;  Peng, Xi;  Yan, Wende;  Wu, Yiping;  Lv, Yihe;  Smith, Andrew R.;  McDonald, Morag A.;  Patil, Sopan D.;  Sarkissian, Arbi J.;  Shi, Zhihua;  Xia, Jun;  Ogbodo, U. S.
收藏  |  浏览/下载：11/0  |  提交时间：2020/05/13
Can Remotely Sensed Actual Evapotranspiration Facilitate Hydrological Prediction in Ungauged Regions Without Runoff Calibration? 期刊论文
WATER RESOURCES RESEARCH, 2020, 56 (1)
作者:  Zhang, Yongqiang;  Chiew, Francis H. S.;  Liu, Changming;  Tang, Qiuhong;  Xia, Jun;  Tian, Jing;  Kong, Dongdong;  Li, Congcong
收藏  |  浏览/下载：9/0  |  提交时间：2020/07/02
A process-based insight into nonstationarity of the probability distribution of annual runoff 期刊论文
WATER RESOURCES RESEARCH, 2017, 53 (5)
作者:  Jiang, Cong;  Xiong, Lihua;  Guo, Shenglian;  Xia, Jun;  Xu, Chong-Yu
收藏  |  浏览/下载：4/0  |  提交时间：2019/04/09
annual runoff distribution  nonstationarity detection  process-based analytical derivation approach  Fu equation