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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  
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  
Synchronization and Delay Between Circulation Patterns and High Streamflow Events in Germany 期刊论文
WATER RESOURCES RESEARCH, 2020, 56 (4)
作者:  Conticello, Federico Rosario;  Cioffi, Francesco;  Lall, Upmanu;  Merz, Bruno
收藏  |  浏览/下载：6/0  |  提交时间：2020/07/02
streamflow  Germany  event synchronization  circulation pattern  
Hydrologically Informed Machine Learning for Rainfall-Runoff Modeling: A Genetic Programming-Based Toolkit for Automatic Model Induction 期刊论文
WATER RESOURCES RESEARCH, 2020, 56 (4)
作者:  Chadalawada, Jayashree;  Herath, H. M. V. V.;  Babovic, Vladan
收藏  |  浏览/下载：7/0  |  提交时间：2020/07/02
rainfall-runoff modeling  flexible conceptual modeling framework  machine learning  genetic programming  
Reconstruction of GRACE Data on Changes in Total Water Storage Over the Global Land Surface and 60 Basins 期刊论文
WATER RESOURCES RESEARCH, 2020, 56 (4)
作者:  Sun, Zhangli;  Long, Di;  Yang, Wenting;  Li, Xueying;  Pan, Yun
收藏  |  浏览/下载：11/0  |  提交时间：2020/07/02
GRACE  spherical harmonics  mascons  machine learning  data gaps  reconstruction  
An Example of Augmenting Regional Sensitivity Analysis Using Machine Learning Software 期刊论文
WATER RESOURCES RESEARCH, 2020, 56 (4)
作者:  Spear, Robert C.;  Cheng, Qu;  Wu, Sean L.
收藏  |  浏览/下载：5/0  |  提交时间：2020/07/02
Machine Learning Predicts Reach-Scale Channel Types From Coarse-Scale Geospatial Data in a Large River Basin 期刊论文
WATER RESOURCES RESEARCH, 2020, 56 (3)
作者:  Guillon, Herve;  Byrne, Colin F.;  Lane, Belize A.;  Solis, Samuel Sandoval;  Pasternack, Gregory B.
收藏  |  浏览/下载：7/0  |  提交时间：2020/07/02
Reduced-Dimensional Gaussian Process Machine Learning for Groundwater Allocation Planning Using Swarm Theory 期刊论文
WATER RESOURCES RESEARCH, 2020, 56 (3)
作者:  Siade, Adam J.;  Cui, Tao;  Karelse, Robert N.;  Hampton, Clive
收藏  |  浏览/下载：5/0  |  提交时间：2020/07/02
Debates-Does Information Theory Provide a New Paradigm for Earth Science? 期刊论文
WATER RESOURCES RESEARCH, 2020, 56 (2)
作者:  Kumar, Praveen;  Gupta, Hoshin V.
收藏  |  浏览/下载：24/0  |  提交时间：2020/07/02
Complex Systems  Hypothesis Testing  Information Physics  Algorithmic Information  Causality  
Information-Based Machine Learning for Tracer Signature Prediction in Karstic Environments 期刊论文
WATER RESOURCES RESEARCH, 2020, 56 (2)
作者:  Mewes, B.;  Oppel, H.;  Marx, V.;  Hartmann, A.
收藏  |  浏览/下载：8/0  |  提交时间：2020/07/02
Machine learning  entropy  information content  karst  hydrograph separation