Forecasting Global Weather with Graph Neural Networks

15 February 2022

Papers citing "Forecasting Global Weather with Graph Neural Networks"

50 / 101 papers shown

Title
GenCast: Diffusion-based ensemble forecasting for medium-range weather Ilan Price Alvaro Sanchez-Gonzalez Ferran Alet Tom R. Andersson Andrew El-Kadi ... Jacklynn Stott Shakir Mohamed Peter W. Battaglia Rémi R. Lam Matthew Willson 26 109 0 25 Dec 2023
TPTNet: A Data-Driven Temperature Prediction Model Based on Turbulent Potential Temperature Jun Park Changhoon Lee 25 1 0 22 Dec 2023
Scaling transformer neural networks for skillful and reliable medium-range weather forecasting Tung Nguyen Rohan Shah Hritik Bansal T. Arcomano Sandeep Madireddy R. Maulik V. Kotamarthi Ian Foster Aditya Grover AI4TS 11 56 0 06 Dec 2023
SAMSGL: Series-Aligned Multi-Scale Graph Learning for Spatio-Temporal Forecasting Xiaobei Zou Luolin Xiong Yang Tang Jürgen Kurths AI4TS 29 1 0 05 Dec 2023
Foundation Models for Weather and Climate Data Understanding: A Comprehensive Survey Shengchao Chen Guodong Long Jing Jiang Dikai Liu Chengqi Zhang SyDa AI4CE 26 24 0 05 Dec 2023
Reconstructing Historical Climate Fields With Deep Learning Nils Bochow Anna Poltronieri M. Rypdal Niklas Boers AI4Cl AI4CE 8 0 0 30 Nov 2023
Neural General Circulation Models for Weather and Climate Dmitrii Kochkov J. Yuval I. Langmore Peter C. Norgaard Jamie A. Smith ... Peter W. Battaglia Alvaro Sanchez-Gonzalez Matthew Willson Michael P. Brenner Stephan Hoyer AI4Cl AI4CE 12 123 0 13 Nov 2023
Self-Supervised Pre-Training for Precipitation Post-Processor Sojung An Junha Lee Jiyeon Jang Inchae Na Wooyeon Park Sujeong You AI4Cl 19 1 0 31 Oct 2023
Learning Efficient Surrogate Dynamic Models with Graph Spline Networks Chuanbo Hua Federico Berto Michael Poli Stefano Massaroli Jinkyoo Park AI4TS AI4CE 19 2 0 25 Oct 2023
ACE: A fast, skillful learned global atmospheric model for climate prediction Oliver Watt‐Meyer Gideon Dresdner Jeremy McGibbon Spencer K. Clark Brian Henn ... K. Kashinath Michael S. Pritchard Boris Bonev Matthew E. Peters Christopher S. Bretherton AI4Cl 47 40 0 03 Oct 2023
Graph-based Neural Weather Prediction for Limited Area Modeling Leo Feng Tomas Landelius Yoshua Bengio AI4CE 25 11 0 29 Sep 2023
Balancing Computational Efficiency and Forecast Error in Machine Learning-based Time-Series Forecasting: Insights from Live Experiments on Meteorological Nowcasting Elin Törnquist Wagner Costa Santos Timothy C. Pogue Nicholas Wingle R. Caulk AI4TS 26 0 0 26 Sep 2023
On some limitations of data-driven weather forecasting models Massimo Bonavita 11 9 0 15 Sep 2023
Exploring Geometric Deep Learning For Precipitation Nowcasting Shan Zhao Sudipan Saha Zhitong Xiong Niklas Boers Xiaoxiang Zhu 15 1 0 11 Sep 2023
Advancing Parsimonious Deep Learning Weather Prediction using the HEALPix Mesh Matthias Karlbauer Nathaniel Cresswell-Clay Dale Durran Raul A Moreno Thorsten Kurth Boris Bonev Noah D. Brenowitz Martin Volker Butz MDE 20 18 0 11 Sep 2023
WeatherBench 2: A benchmark for the next generation of data-driven global weather models S. Rasp Stephan Hoyer Alexander Merose I. Langmore Peter W. Battaglia ... Carla Bromberg Jared Sisk Luke Barrington Aaron Bell Fei Sha AI4Cl 22 105 0 29 Aug 2023
PDE-Refiner: Achieving Accurate Long Rollouts with Neural PDE Solvers Phillip Lippe Bastiaan S. Veeling P. Perdikaris Richard E. Turner Johannes Brandstetter DiffM AI4CE 28 76 0 10 Aug 2023
The Compatibility between the Pangu Weather Forecasting Model and Meteorological Operational Data Wencong Cheng Yangtian Yan Jiangjiang Xia Qi Liu Chang Qu Zhigang Wang 21 5 0 07 Aug 2023
Learning to simulate partially known spatio-temporal dynamics with trainable difference operators Xiang Huang Zhuoyuan Li Hongsheng Liu Zidong Wang Hongye Zhou Bin Dong Bei Hua AI4TS AI4CE 27 1 0 26 Jul 2023
QDC: Quantum Diffusion Convolution Kernels on Graphs Thomas Markovich GNN 10 3 0 20 Jul 2023
A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection Ming Jin Huan Yee Koh Qingsong Wen Daniele Zambon C. Alippi G. I. Webb Irwin King Shirui Pan AI4TS AI4CE 36 143 0 07 Jul 2023
ClimateLearn: Benchmarking Machine Learning for Weather and Climate Modeling Tung Nguyen Jason Jewik Hritik Bansal Prakhar Sharma Aditya Grover AI4Cl AI4CE 36 29 0 04 Jul 2023
TemperatureGAN: Generative Modeling of Regional Atmospheric Temperatures Emmanuel Balogun Ram Rajagopal Arun Majumdar 9 1 0 29 Jun 2023
Provably Powerful Graph Neural Networks for Directed Multigraphs Béni Egressy Luc von Niederhäusern Jovan Blanusa Erik Altman Roger Wattenhofer Kubilay Atasu 25 15 0 20 Jun 2023
Convolutional GRU Network for Seasonal Prediction of the El Niño-Southern Oscillation Lingda Wang Savana Ammons V. M. Hur Ryan Sriver Zhizhen Zhao AI4Cl 10 2 0 18 Jun 2023
Scaling Spherical CNNs Carlos Esteves Jean-Jacques E. Slotine A. Makadia GNN LRM 17 13 0 08 Jun 2023
Deep Learning for Day Forecasts from Sparse Observations Marcin Andrychowicz L. Espeholt Di Li Samier Merchant Alexander Merose Fred Zyda Shreya Agrawal Nal Kalchbrenner AI4Cl 31 61 0 06 Jun 2023
SwinRDM: Integrate SwinRNN with Diffusion Model towards High-Resolution and High-Quality Weather Forecasting Lei Chen Fei Du Yuan Hu Fanhai Wang Zhibin Wang DiffM 18 45 0 05 Jun 2023
DYffusion: A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting Salva Rühling Cachay Bo Zhao Hailey James Rose Yu DiffM AI4TS 26 55 0 03 Jun 2023
Graph Neural Network for spatiotemporal data: methods and applications Yun-Qing Li Dazhou Yu Zhenke Liu Minxing Zhang Xi Gong Liang Zhao AI4TS AI4CE 22 10 0 30 May 2023
Temporal Subsampling Diminishes Small Spatial Scales in Recurrent Neural Network Emulators of Geophysical Turbulence T. A. Smith S. Penny Jason A. Platt Tse-Chun Chen 22 5 0 28 Apr 2023
W-MAE: Pre-trained weather model with masked autoencoder for multi-variable weather forecasting Xin Man Chenghong Zhang Jin Feng Changyu Li Jie Shao AI4Cl 39 24 0 18 Apr 2023
Inductive biases in deep learning models for weather prediction Jannik Thümmel Matthias Karlbauer S. Otte C. Zarfl Georg Martius ... Thomas Scholten Ulrich Friedrich V. Wulfmeyer B. Goswami Martin Volker Butz AI4CE 33 4 0 06 Apr 2023
G-Signatures: Global Graph Propagation With Randomized Signatures Bernhard Schafl Lukas Gruber Johannes Brandstetter Sepp Hochreiter 17 2 0 17 Feb 2023
Graph Neural Networks for temporal graphs: State of the art, open challenges, and opportunities Antonio Longa Veronica Lachi G. Santin Monica Bianchini Bruno Lepri Pietro Lió F. Scarselli Andrea Passerini AI4CE 13 50 0 02 Feb 2023
Evolve Smoothly, Fit Consistently: Learning Smooth Latent Dynamics For Advection-Dominated Systems Z. Y. Wan Leonardo Zepeda-Núnez Anudhyan Boral Fei Sha BDL AI4CE 11 13 0 25 Jan 2023
ClimaX: A foundation model for weather and climate Tung Nguyen Johannes Brandstetter Ashish Kapoor Jayesh K. Gupta Aditya Grover AI4Cl AI4CE 11 238 0 24 Jan 2023
GraphCast: Learning skillful medium-range global weather forecasting Rémi R. Lam Alvaro Sanchez-Gonzalez Matthew Willson Peter Wirnsberger Meire Fortunato ... Oriol Vinyals Jacklynn Stott Alexander Pritzel S. Mohamed Peter W. Battaglia AI4Cl 16 274 0 24 Dec 2022
Spatial Mixture-of-Experts Nikoli Dryden Torsten Hoefler MoE 24 9 0 24 Nov 2022
Pangu-Weather: A 3D High-Resolution Model for Fast and Accurate Global Weather Forecast Kaifeng Bi Lingxi Xie Hengheng Zhang Xin Chen Xiaotao Gu Qi Tian AI4Cl 20 155 0 03 Nov 2022
A Machine Learning Tutorial for Operational Meteorology, Part II: Neural Networks and Deep Learning Randy J. Chase David R. Harrison G. Lackmann A. McGovern 14 13 0 31 Oct 2022
DL-Corrector-Remapper: A grid-free bias-correction deep learning methodology for data-driven high-resolution global weather forecasting Tao Ge Jaideep Pathak Akshay Subramaniam K. Kashinath AI4Cl 19 5 0 21 Oct 2022
MultiScale MeshGraphNets Meire Fortunato Tobias Pfaff Peter Wirnsberger Alexander Pritzel Peter W. Battaglia AI4CE 25 68 0 02 Oct 2022
Towards Multi-spatiotemporal-scale Generalized PDE Modeling Jayesh K. Gupta Johannes Brandstetter AI4CE 53 117 0 30 Sep 2022
Clifford Neural Layers for PDE Modeling Johannes Brandstetter Rianne van den Berg Max Welling Jayesh K. Gupta AI4CE 60 79 0 08 Sep 2022
Efficient data-driven gap filling of satellite image time series using deep neural networks with partial convolutions M. Appel 8 3 0 18 Aug 2022
FourCastNet: Accelerating Global High-Resolution Weather Forecasting using Adaptive Fourier Neural Operators Thorsten Kurth Shashank Subramanian P. Harrington Jaideep Pathak Morteza Mardani D. Hall Andrea Miele K. Kashinath Anima Anandkumar AI4Cl 27 169 0 08 Aug 2022
SwinVRNN: A Data-Driven Ensemble Forecasting Model via Learned Distribution Perturbation Yuan Hu Lei Chen Zhibin Wang Hao Li OOD 21 45 0 26 May 2022
WeatherBench Probability: A benchmark dataset for probabilistic medium-range weather forecasting along with deep learning baseline models Sagar Garg S. Rasp Nils Thuerey 16 22 0 02 May 2022
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 2,281 0 18 Oct 2020