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Streamflow Reconstruction in the Upper Missouri River Basin Using a Novel Bayesian Network Model 期刊论文
WATER RESOURCES RESEARCH, 2019, 55 (9) : 7694-7716
作者:  Ravindranath, Arun;  Devineni, Naresh;  Lall, Upmanu;  Cook, Edward R.;  Pederson, Greg;  Martin, Justin;  Woodhouse, Connie
收藏  |  浏览/下载：9/0  |  提交时间：2019/11/27
spatial Markov model  paleo-reconstructions  streamflow reconstructions  Bayesian statistics  water management  stochastic hydrology  
Prediction and Inference of Flow Duration Curves Using Multioutput Neural Networks 期刊论文
WATER RESOURCES RESEARCH, 2019, 55 (8) : 6850-6868
作者:  Worland, Scott. C.;  Steinschneider, Scott;  Asquith, William;  Knight, Rodney;  Wieczorek, Michael
收藏  |  浏览/下载：7/0  |  提交时间：2019/11/27
The Power of Environmental Observatories for Advancing Multidisciplinary Research, Outreach, and Decision support: The Case of the Minnesota River Basin 期刊论文
WATER RESOURCES RESEARCH, 2019, 55 (4) : 3576-3592
作者:  Gran, K. B.;  Dolph, C.;  Baker, A.;  Bevis, M.;  Cho, S. J.;  Czuba, J. A.;  Dalzell, B.;  Danesh-Yazdi, M.;  Hansen, A. T.;  Kelly, S.;  Lang, Z.;  Schwenk, J.;  Belmont, P.;  Finlay, J. C.;  Kumar, P.;  Rabotyagov, S.;  Roehrig, G.;  Wilcock, P.;  Foufoula-Georgiou, E.
收藏  |  浏览/下载：7/0  |  提交时间：2019/11/26
Water Resources Assessment of China's Transboundary River Basins Using a Machine Learning Approach 期刊论文
WATER RESOURCES RESEARCH, 2019, 55 (1) : 632-655
作者:  Yan, Jiabao;  Jia, Shaofeng;  Lv, Aifeng;  Zhu, Wenbin
收藏  |  浏览/下载：13/0  |  提交时间：2019/04/09
water resources  runoff coefficient  machine learning  transboundary river  China  
Value of a Limited Number of Discharge Observations for Improving Regionalization: A Large-Sample Study Across the United States 期刊论文
WATER RESOURCES RESEARCH, 2019, 55 (1) : 363-377
作者:  Pool, S.;  Viviroli, D.;  Seibert, J.
收藏  |  浏览/下载：3/0  |  提交时间：2019/04/09
ungauged basin  regionalization  spatial proximity  attribute similarity  value of data