HydroNets: Leveraging River Structure for Hydrologic Modeling

1 July 2020

Papers citing "HydroNets: Leveraging River Structure for Hydrologic Modeling"

6 / 6 papers shown

Title
Multi-Scale Graph Learning for Anti-Sparse Downscaling Yingda Fan Runlong Yu Janet R. Barclay A. Appling Yiming Sun Yiqun Xie Xiaowei Jia AI4CE 40 0 0 03 May 2025
Toward Routing River Water in Land Surface Models with Recurrent Neural Networks Mauricio Lima Katherine Deck Oliver R. A. Dunbar Tapio Schneider AI4CE 28 1 0 22 Apr 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 39 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 32 10 0 08 Oct 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 13 3 0 11 Feb 2022
Flood forecasting with machine learning models in an operational framework Sella Nevo E. Morin Adi Gerzi Rosenthal Asher Metzger Chen Barshai ... Yuval Levin Zach Moshe Z. Ben-Haim Avinatan Hassidim Yossi Matias AI4CE 21 117 0 04 Nov 2021