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Explore Spatio-Temporal Learning of Large Sample Hydrology Using Graph Neural Networks 期刊论文
Water Resources Research, 2021
作者:  Alexander Y. Sun;  Peishi Jiang;  Maruti K. Mudunuru;  Xingyuan Chen
收藏  |  浏览/下载:17/0  |  提交时间:2021/11/15
Prediction of Streamflow Recession Curves in Gauged and Ungauged basins 期刊论文
Water Resources Research, 2021
作者:  Shailesh Kumar Singh;  George A. Griffiths
收藏  |  浏览/下载:12/0  |  提交时间:2021/11/15
Mitigating prediction error of deep learning streamflow models in large data-sparse regions with ensemble modeling and soft data 期刊论文
Geophysical Research Letters, 2021
作者:  Dapeng Feng;  Kathryn Lawson;  Chaopeng Shen
收藏  |  浏览/下载:10/0  |  提交时间:2021/07/27
Constraining Remote River Discharge Estimation Using Reach‐Scale Geomorphology 期刊论文
Water Resources Research, 2020
作者:  C. B. Brinkerhoff;  C. J. Gleason;  D. Feng;  P. Lin
收藏  |  浏览/下载:8/0  |  提交时间:2020/10/26
More accurate modelling of climate change impacts on water resources 新闻
来源平台:EurekAlert. 发布日期:2020
作者:  admin
收藏  |  浏览/下载:7/0  |  提交时间:2020/10/12
Predictive modelling of envelope flood extents using geomorphic and climatic‐hydrologic catchment characteristics 期刊论文
Water Resources Research, 2020
作者:  R. Tavares da Costa;  S. Zanardo;  S. Bagli;  A. G. J. Hilberts;  S. Manfreda;  C. Samela;  A. Castellarin
收藏  |  浏览/下载:5/0  |  提交时间:2020/08/18
Improving AI System Awareness of Geoscience Knowledge: Symbiotic Integration of Physical Approaches and Deep Learning 期刊论文
GEOPHYSICAL RESEARCH LETTERS, 2020, 47 (13)
作者:  Jiang, Shijie;  Zheng, Yi;  Solomatine, Dimitri
收藏  |  浏览/下载:13/0  |  提交时间:2020/06/16
artificial intelligence  deep learning  Earth science  geosystem dynamics  hydrology  predictions in ungauged basins  
Toward Improved Predictions in Ungauged Basins: Exploiting the Power of Machine Learning 期刊论文
WATER RESOURCES RESEARCH, 2019, 55 (12) : 11344-11354
作者:  Kratzert, Frederik;  Klotz, Daniel;  Herrnegger, Mathew;  Sampson, Alden K.;  Hochreiter, Sepp;  Nearing, Grey S.
收藏  |  浏览/下载:8/0  |  提交时间:2020/02/16
prediction in ungauged basins  machine learning  CAMELS  LSTM  
Advances in Quantifying Streamflow Variability Across Continental Scales: 1. Identifying Natural and Anthropogenic Controlling Factors in the USA Using a Spatially Explicit Modeling Method 期刊论文
WATER RESOURCES RESEARCH, 2019, 55 (12) : 10893-10917
作者:  Alexander, Richard B.;  Schwarz, Gregory E.;  Boyer, Elizabeth W.
收藏  |  浏览/下载:5/0  |  提交时间:2020/02/16
Copula Theory as a Generalized Framework for Flow-Duration Curve Based Streamflow Estimates in Ungaged and Partially Gaged Catchments 期刊论文
WATER RESOURCES RESEARCH, 2019
作者:  Worland, Scott. C.;  Steinschneider, Scott;  Farmer, William;  Asquith, William;  Knight, Rodney
收藏  |  浏览/下载:7/0  |  提交时间:2020/02/16
copulas  flow-duration curves  streamflow estimation  QPPQ  regionalization  PUB