Physics Guided Machine Learning Methods for Hydrology

Physics Guided Machine Learning Methods for Hydrology

2 December 2020

Xiang Li

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Papers citing "Physics Guided Machine Learning Methods for Hydrology"

15 / 15 papers shown

Title
A Parsimonious Setup for Streamflow Forecasting using CNN-LSTM Sudan Pokharel Tirthankar Roy 39 5 0 11 Apr 2024
Causal hybrid modeling with double machine learning Kai-Hendrik Cohrs Gherardo Varando Nuno Carvalhais Markus Reichstein Gustau Camps-Valls 135 6 0 20 Feb 2024
FREE: The Foundational Semantic Recognition for Modeling Environmental Ecosystems Shiyuan Luo Juntong Ni Shengyu Chen Runlong Yu Yiqun Xie Licheng Liu Zhenong Jin Huaxiu Yao Xiaowei Jia 137 8 0 17 Nov 2023
Physics-aware Machine Learning Revolutionizes Scientific Paradigm for Machine Learning and Process-based Hydrology Qingsong Xu Yilei Shi Jonathan Bamber Ye Tuo Ralf Ludwig Xiao Xiang Zhu AI4CE 143 10 0 08 Oct 2023
Time Series Predictions in Unmonitored Sites: A Survey of Machine Learning Techniques in Water Resources J. Willard C. Varadharajan X. Jia Vipin Kumar AI4TS 81 4 0 18 Aug 2023
Reconstructing Turbulent Flows Using Physics-Aware Spatio-Temporal Dynamics and Test-Time Refinement Shengyu Chen Tianshu Bao P. Givi Can Zheng Xiaowei Jia AI4CE 77 0 0 24 Apr 2023
Physics-informed neural networks for solving forward and inverse problems in complex beam systems Taniya Kapoor Hongrui Wang A. Núñez R. Dollevoet AI4CE PINN 81 50 0 02 Mar 2023
Differentiable modeling to unify machine learning and physical models and advance Geosciences Chaopeng Shen A. Appling Pierre Gentine Toshiyuki Bandai H. Gupta ... Chris Rackauckas Tirthankar Roy Chonggang Xu Binayak Mohanty K. Lawson AI4CE 112 15 0 10 Jan 2023
Modeling Reservoir Release Using Pseudo-Prospective Learning and Physical Simulations to Predict Water Temperature X. Jia Shengyu Chen Yiqun Xie Haoyu Yang A. Appling S. Oliver Zhe Jiang DiffM 72 3 0 11 Feb 2022
A Review of Physics-based Machine Learning in Civil Engineering S. Vadyala S. N. Betgeri J. Matthews Elizabeth Matthews AI4CE 91 158 0 09 Oct 2021
SWAT Watershed Model Calibration using Deep Learning M. Mudunuru K. Son Pin Jiang X. Chen 45 2 0 06 Oct 2021
Robust Inverse Framework using Knowledge-guided Self-Supervised Learning: An application to Hydrology Rahul Ghosh Arvind Renganathan Kshitij Tayal Xiang Li A. Khandelwal X. Jia C. Duffy J. Neiber Vipin Kumar 113 23 0 14 Sep 2021
AdjointNet: Constraining machine learning models with physics-based codes S. Karra B. Ahmmed M. Mudunuru AI4CE PINN OOD 66 4 0 08 Sep 2021
Domain-guided Machine Learning for Remotely Sensed In-Season Crop Growth Estimation G. Worrall Anand Rangarajan J. Judge 84 7 0 24 Jun 2021
Enhancing predictive skills in physically-consistent way: Physics Informed Machine Learning for Hydrological Processes Pravin Bhasme Jenil Vagadiya Udit Bhatia AI4CE 48 67 0 22 Apr 2021