Large-scale flood modeling and forecasting with FloodCast

Large-scale flood modeling and forecasting with FloodCast

18 March 2024

Jonathan Bamber

Xiao Xiang Zhu

Papers citing "Large-scale flood modeling and forecasting with FloodCast"

9 / 9 papers shown

Title
Physics-informed Partitioned Coupled Neural Operator for Complex Networks Weidong Wu Yong Zhang Lili Hao Y. Chen Xiaoyan Sun Dunwei Gong AI4CE 18 0 0 28 Oct 2024
Physics-embedded Fourier Neural Network for Partial Differential Equations Qingsong Xu Nils Thuerey Yilei Shi Jonathan Bamber Chaojun Ouyang Xiao Xiang Zhu AI4CE 23 0 0 15 Jul 2024
On the Foundations of Earth and Climate Foundation Models Xiao Xiang Zhu Zhitong Xiong Yi Wang Adam J. Stewart Konrad Heidler Yuanyuan Wang Zhenghang Yuan Thomas Dujardin Qingsong Xu Yilei Shi AI4Cl AI4CE 23 20 0 07 May 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 18 9 0 08 Oct 2023
Fourier Neural Operator with Learned Deformations for PDEs on General Geometries Zong-Yi Li Daniel Zhengyu Huang Burigede Liu Anima Anandkumar AI4CE 108 243 0 11 Jul 2022
Spline-PINN: Approaching PDEs without Data using Fast, Physics-Informed Hermite-Spline CNNs Nils Wandel Michael Weinmann Michael Neidlin Reinhard Klein AI4CE 50 58 0 15 Sep 2021
MLP-Mixer: An all-MLP Architecture for Vision Ilya O. Tolstikhin N. Houlsby Alexander Kolesnikov Lucas Beyer Xiaohua Zhai ... Andreas Steiner Daniel Keysers Jakob Uszkoreit Mario Lucic Alexey Dosovitskiy 239 2,554 0 04 May 2021
On the eigenvector bias of Fourier feature networks: From regression to solving multi-scale PDEs with physics-informed neural networks Sifan Wang Hanwen Wang P. Perdikaris 126 435 0 18 Dec 2020
Fourier Neural Operator for Parametric Partial Differential Equations Zong-Yi Li Nikola B. Kovachki Kamyar Azizzadenesheli Burigede Liu K. Bhattacharya Andrew M. Stuart Anima Anandkumar AI4CE 203 2,254 0 18 Oct 2020