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A Process-Based Framework to Characterize and Classify Runoff Events: The Event Typology of Germany 期刊论文
WATER RESOURCES RESEARCH, 2020, 56 (5)
作者:  Tarasova, L.;  Basso, S.;  Wendi, D.;  Viglione, A.;  Kumar, R.;  Merz, R.
收藏  |  浏览/下载：9/0  |  提交时间：2020/07/02
event classification  event type  rainfall-runoff events  event typology  event characteristics  runoff generation mechanisms  
Physics-Informed Deep Neural Networks for Learning Parameters and Constitutive Relationships in Subsurface Flow Problems 期刊论文
WATER RESOURCES RESEARCH, 2020, 56 (5)
作者:  Tartakovsky, A. M.;  Marrero, C. Ortiz;  Perdikaris, Paris;  Tartakovsky, G. D.;  Barajas-Solano, D.
收藏  |  浏览/下载：12/0  |  提交时间：2020/07/02
deep neural networks  physics-informed machine learning  parameter estimation  learning constitutive relationships  unsaturated flow  MAP  
Many Commonly Used Rainfall-Runoff Models Lack Long, Slow Dynamics: Implications for Runoff Projections 期刊论文
WATER RESOURCES RESEARCH, 2020, 56 (5)
作者:  Fowler, Keirnan;  Knoben, Wouter J. M.;  Peel, Murray C.;  Peterson, Tim J.;  Ryu, Dongryeol;  Saft, Margarita;  Seo, Ki-Weon;  Western, Andrew
收藏  |  浏览/下载：8/0  |  提交时间：2020/07/02
rainfall-runoff modeling  drought  climate change  
Integrating Physical and Financial Approaches to Manage Environmental Financial Risk on the Great Lakes 期刊论文
WATER RESOURCES RESEARCH, 2020, 56 (5)
作者:  Meyer, Eliot S.;  Foster, Benjamin T.;  Characklis, Gregory W.;  Brown, Casey;  Yates, Andrew J.
收藏  |  浏览/下载：10/0  |  提交时间：2020/07/02
A New Unsupervised Learning Method to Assess Clusters of Temporal Distribution of Rainfall and Their Coherence with Flood Types 期刊论文
WATER RESOURCES RESEARCH, 2020, 56 (5)
作者:  Oppel, Henning;  Fischer, Svenja
收藏  |  浏览/下载：0/0  |  提交时间：2020/05/13
unsupervised learning  rainfall  temporal distribution  flood typology  
Challenges in Applying Machine Learning Models for Hydrological Inference: A Case Study for Flooding Events Across Germany 期刊论文
WATER RESOURCES RESEARCH, 2020, 56 (5)
作者:  Schmidt, Lennart;  Hesse, Falk;  Attinger, Sabine;  Kumar, Rohini
收藏  |  浏览/下载：7/0  |  提交时间：2020/05/13
machine learning  inference  floods  
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  
Resistance Formulations in Shallow Overland Flow Along a Hillslope Covered With Patchy Vegetation 期刊论文
WATER RESOURCES RESEARCH, 2020, 56 (5)
作者:  Crompton, Octavia;  Katul, Gabriel G.;  Thompson, Sally
收藏  |  浏览/下载：9/0  |  提交时间：2020/05/13
surface roughness  overland flow  hydraulic resistance  hillslope hydrology  friction coefficients  
Improving SWE Estimation With Data Assimilation: The Influence of Snow Depth Observation Timing and Uncertainty 期刊论文
WATER RESOURCES RESEARCH, 2020, 56 (5)
作者:  Smyth, Eric J.;  Raleigh, Mark S.;  Small, Eric E.
收藏  |  浏览/下载：9/0  |  提交时间：2020/05/13
SWE  Assimilation  Particle Filter  Snow Depth  Observation Timing  Snow Density  
The Fifth Stage in Water Management: Policy Lessons for Water Governance 期刊论文
WATER RESOURCES RESEARCH, 2020, 56 (5)
作者:  Loch, A.;  Adamson, D.;  Dumbrell, N. P.
收藏  |  浏览/下载：9/0  |  提交时间：2020/05/13
uncertainty  water  markets  risk management  policy