Differentiable, learnable, regionalized process-based models with
physical outputs can approach state-of-the-art hydrologic prediction accuracy

Differentiable, learnable, regionalized process-based models with physical outputs can approach state-of-the-art hydrologic prediction accuracy

28 March 2022

Papers citing "Differentiable, learnable, regionalized process-based models with physical outputs can approach state-of-the-art hydrologic prediction accuracy"

11 / 11 papers shown

Title
Sensitivity-Constrained Fourier Neural Operators for Forward and Inverse Problems in Parametric Differential Equations Abdolmehdi Behroozi Chaopeng Shen and Daniel Kifer AI4CE 25 0 0 13 May 2025
A Deep State Space Model for Rainfall-Runoff Simulations Yihan Wang Lujun Zhang Annan Yu N. Benjamin Erichson Tiantian Yang 51 1 0 28 Jan 2025
Knowledge-guided Machine Learning: Current Trends and Future Prospects Anuj Karpatne X. Jia Vipin Kumar 50 10 0 24 Mar 2024
Towards Interpretable Physical-Conceptual Catchment-Scale Hydrological Modeling using the Mass-Conserving-Perceptron Yuan-Heng Wang Hoshin V. Gupta AI4CE 29 3 0 25 Jan 2024
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 20 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 25 3 0 18 Aug 2023
Learning Regionalization using Accurate Spatial Cost Gradients within a Differentiable High-Resolution Hydrological Model: Application to the French Mediterranean Region Ngo Nghi Truyen Huynh P. Garambois Franccois Colleoni B. Renard H. Roux J. Demargne M. Jay-Allemand P. Javelle 19 6 0 02 Aug 2023
Probing the limit of hydrologic predictability with the Transformer network Jiangtao Liu Yuchen Bian Chaopeng Shen AI4TS 16 9 0 21 Jun 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 42 14 0 10 Jan 2023
Bathymetry Inversion using a Deep-Learning-Based Surrogate for Shallow Water Equations Solvers Xiaofeng Liu Yalan Song Chaopeng Shen AI4CE 25 9 0 05 Mar 2022
The data synergy effects of time-series deep learning models in hydrology K. Fang Daniel Kifer K. Lawson D. Feng Chaopeng Shen AI4CE 69 80 0 06 Jan 2021