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FourCastNet: A Global Data-driven High-resolution Weather Model using
  Adaptive Fourier Neural Operators

FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators

22 February 2022
Jaideep Pathak
Shashank Subramanian
P. Harrington
S. Raja
A. Chattopadhyay
Morteza Mardani
Thorsten Kurth
D. Hall
Zong-Yi Li
Kamyar Azizzadenesheli
P. Hassanzadeh
K. Kashinath
Anima Anandkumar
    AI4Cl
ArXivPDFHTML

Papers citing "FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators"

50 / 365 papers shown
Title
LanTu: Dynamics-Enhanced Deep Learning for Eddy-Resolving Ocean Forecasting
LanTu: Dynamics-Enhanced Deep Learning for Eddy-Resolving Ocean Forecasting
Qingyu Zheng
Qi Shao
G. Han
Wei Li
Hong Li
Xuan Wang
AI4Cl
33
0
0
15 May 2025
LatticeVision: Image to Image Networks for Modeling Non-Stationary Spatial Data
LatticeVision: Image to Image Networks for Modeling Non-Stationary Spatial Data
Antony Sikorski
Michael Ivanitskiy
Nathan Lenssen
Douglas Nychka
Daniel McKenzie
DiffM
24
0
0
14 May 2025
FreqMoE: Dynamic Frequency Enhancement for Neural PDE Solvers
FreqMoE: Dynamic Frequency Enhancement for Neural PDE Solvers
Tianyu Chen
Haoyi Zhou
Yunshui Li
Hao Wang
Zhenru Zhang
Tianchen Zhu
Shanghang Zhang
Jiashi Li
37
0
0
11 May 2025
Exploring Design Choices for Autoregressive Deep Learning Climate Models
Exploring Design Choices for Autoregressive Deep Learning Climate Models
Florian Gallusser
Simon Hentschel
Anna Krause
Andreas Hotho
AI4Cl
37
0
0
05 May 2025
Learning and Transferring Physical Models through Derivatives
Learning and Transferring Physical Models through Derivatives
Alessandro Trenta
Andrea Cossu
Davide Bacciu
AI4CE
39
0
0
02 May 2025
Appa: Bending Weather Dynamics with Latent Diffusion Models for Global Data Assimilation
Appa: Bending Weather Dynamics with Latent Diffusion Models for Global Data Assimilation
Gérome Andry
François Rozet
Sacha Lewin
Omer Rochman
Victor Mangeleer
Matthias Pirlet
Elise Faulx
Marilaure Grégoire
Gilles Louppe
AI4Cl
66
1
0
25 Apr 2025
Democracy of AI Numerical Weather Models: An Example of Global Forecasting with FourCastNetv2 Made by a University Research Lab Using GPU
Democracy of AI Numerical Weather Models: An Example of Global Forecasting with FourCastNetv2 Made by a University Research Lab Using GPU
Iman Khadir
Shane Stevenson
Henry Li
Kyle Krick
Abram Burrows
David Hall
Stan Posey
Samuel S.P. Shen
15
0
0
23 Apr 2025
How to systematically develop an effective AI-based bias correction model?
How to systematically develop an effective AI-based bias correction model?
Xiao Zhou
Yuze Sun
Jie Wu
Xiaomeng Huang
AI4Cl
34
0
0
21 Apr 2025
A Physics-guided Multimodal Transformer Path to Weather and Climate Sciences
A Physics-guided Multimodal Transformer Path to Weather and Climate Sciences
Jing Han
Hanting Chen
Kai Han
X. Huang
Yongyun Hu
Wenjun Xu
Dacheng Tao
Ping Zhang
AI4CE
39
0
0
19 Apr 2025
Towards scientific machine learning for granular material simulations -- challenges and opportunities
Towards scientific machine learning for granular material simulations -- challenges and opportunities
Marc Fransen
Andreas Fürst
D. Tunuguntla
Daniel N. Wilke
Benedikt Alkin
...
Takayuki Shuku
WaiChing Sun
T. Weinhart
Dongwei Ye
Hongyang Cheng
AI4CE
34
0
0
01 Apr 2025
Improving Predictions of Convective Storm Wind Gusts through Statistical Post-Processing of Neural Weather Models
Improving Predictions of Convective Storm Wind Gusts through Statistical Post-Processing of Neural Weather Models
Antoine Leclerc
Erwan Koch
Monika Feldmann
D. Nerini
Tom Beucler
36
0
0
31 Mar 2025
Data-driven Seasonal Climate Predictions via Variational Inference and Transformers
Data-driven Seasonal Climate Predictions via Variational Inference and Transformers
Lluís Palma
Alejandro Peraza
David Civantos
Amanda Duarte
Stefano Materia
Ángel G. Muñoz
Jesús Peña
Laia Romero
Albert Soret
Markus G. Donat
AI4TS
55
0
0
26 Mar 2025
A Spatiotemporal Radar-Based Precipitation Model for Water Level Prediction and Flood Forecasting
A Spatiotemporal Radar-Based Precipitation Model for Water Level Prediction and Flood Forecasting
Sakshi Dhankhar
Stefan H. A. Wittek
Hamidreza Eivazi
Andreas Rausch
40
0
0
25 Mar 2025
FuXi-RTM: A Physics-Guided Prediction Framework with Radiative Transfer Modeling
FuXi-RTM: A Physics-Guided Prediction Framework with Radiative Transfer Modeling
Qiusheng Huang
Xiaohui Zhong
Xu Fan
Lei Chen
Hao Li
AI4TS
AI4CE
49
0
0
25 Mar 2025
Offline Meteorology-Pollution Coupling Global Air Pollution Forecasting Model with Bilinear Pooling
Offline Meteorology-Pollution Coupling Global Air Pollution Forecasting Model with Bilinear Pooling
Xu Fan
Yuetan Lin
Bing Gong
Yiming Li
OffRL
AI4CE
44
0
0
24 Mar 2025
Thermalizer: Stable autoregressive neural emulation of spatiotemporal chaos
Thermalizer: Stable autoregressive neural emulation of spatiotemporal chaos
Chris Pedersen
L. Zanna
Joan Bruna
50
1
0
24 Mar 2025
HyperNOs: Automated and Parallel Library for Neural Operators Research
HyperNOs: Automated and Parallel Library for Neural Operators Research
Massimiliano Ghiotto
46
0
0
23 Mar 2025
Enhancing Fourier Neural Operators with Local Spatial Features
Enhancing Fourier Neural Operators with Local Spatial Features
Chaoyu Liu
Davide Murari
Chris Budd
Lihao Liu
Carola-Bibiane Schönlieb
AI4CE
44
0
0
22 Mar 2025
Learning Distributions of Complex Fluid Simulations with Diffusion Graph Networks
Learning Distributions of Complex Fluid Simulations with Diffusion Graph Networks
Mario Lino
Tobias Pfaff
Nils Thuerey
DiffM
AI4CE
47
3
0
19 Mar 2025
CNCast: Leveraging 3D Swin Transformer and DiT for Enhanced Regional Weather Forecasting
CNCast: Leveraging 3D Swin Transformer and DiT for Enhanced Regional Weather Forecasting
Hongli Liang
Yuanting Zhang
Qingye Meng
Shuangshuang He
Xingyuan Yuan
51
0
0
16 Mar 2025
Probabilistic Forecasting for Dynamical Systems with Missing or Imperfect Data
Probabilistic Forecasting for Dynamical Systems with Missing or Imperfect Data
Siddharth Rout
Eldad Haber
Stéphane Gaudreault
AI4TS
AI4CE
67
0
0
15 Mar 2025
Spatio-temporal Fourier Transformer (StFT) for Long-term Dynamics Prediction
Spatio-temporal Fourier Transformer (StFT) for Long-term Dynamics Prediction
Da Long
Shandian Zhe
Samuel Williams
L. Oliker
Zhe Bai
AI4TS
AI4CE
44
0
0
14 Mar 2025
XAI4Extremes: An interpretable machine learning framework for understanding extreme-weather precursors under climate change
Jiawen Wei
Aniruddha Bora
Vivek Oommen
Chenyu Dong
Juntao Yang
Jeff Adie
Chen Chen
Simon See
George Karniadakis
G. Mengaldo
AI4Cl
68
0
0
11 Mar 2025
Weakly-Constrained 4D Var for Downscaling with Uncertainty using Data-Driven Surrogate Models
Philip Dinenis
Vishwas Rao
Mihai Anitescu
73
0
0
04 Mar 2025
Dynamical Diffusion: Learning Temporal Dynamics with Diffusion Models
Xingzhuo Guo
Yu Zhang
Baixu Chen
Haoran Xu
Jianmin Wang
Mingsheng Long
DiffM
AI4TS
43
1
0
02 Mar 2025
CirT: Global Subseasonal-to-Seasonal Forecasting with Geometry-inspired Transformer
CirT: Global Subseasonal-to-Seasonal Forecasting with Geometry-inspired Transformer
Yang Liu
Zinan Zheng
Jiashun Cheng
Fugee Tsung
Deli Zhao
Yu Rong
Jiajun Li
86
1
0
27 Feb 2025
BeamVQ: Beam Search with Vector Quantization to Mitigate Data Scarcity in Physical Spatiotemporal Forecasting
BeamVQ: Beam Search with Vector Quantization to Mitigate Data Scarcity in Physical Spatiotemporal Forecasting
Weiyan Wang
Xingjian Shi
Ruiqi Shu
Yuan Gao
Rui Chen
...
Shuaipeng Li
Yangyu Tao
Di Wang
Hao Wu
Xiaomeng Huang
64
0
0
26 Feb 2025
ClimateLLM: Efficient Weather Forecasting via Frequency-Aware Large Language Models
ClimateLLM: Efficient Weather Forecasting via Frequency-Aware Large Language Models
Shixuan Li
Wei Yang
Peiyu Zhang
Xiongye Xiao
Defu Cao
Yuehan Qin
Xuzhi Zhang
Yue Zhao
Paul Bogdan
87
1
0
16 Feb 2025
AtmosSci-Bench: Evaluating the Recent Advance of Large Language Model for Atmospheric Science
AtmosSci-Bench: Evaluating the Recent Advance of Large Language Model for Atmospheric Science
Chenyue Li
Wen Deng
Mengqian Lu
Binhang Yuan
ELM
AI4Cl
LRM
90
0
0
03 Feb 2025
MatrixNet: Learning over symmetry groups using learned group representations
MatrixNet: Learning over symmetry groups using learned group representations
Lucas Laird
Circe Hsu
Asilata Bapat
Robin Walters
AI4CE
45
0
0
17 Jan 2025
DynST: Dynamic Sparse Training for Resource-Constrained Spatio-Temporal Forecasting
DynST: Dynamic Sparse Training for Resource-Constrained Spatio-Temporal Forecasting
Hao Wu
Haomin Wen
Guibin Zhang
Yutong Xia
Kai Wang
Keli Zhang
Yu Zheng
Kun Wang
68
2
0
17 Jan 2025
Stochastic Process Learning via Operator Flow Matching
Stochastic Process Learning via Operator Flow Matching
Yaozhong Shi
Zachary E. Ross
D. Asimaki
Kamyar Azizzadenesheli
52
1
0
10 Jan 2025
Analogue Forecast System for Daily Precipitation Prediction Using Autoencoder Feature Extraction: Application in Hong Kong
Yee Chun Tsoi
Yu Ting Kwok
Ming Chun Lam
Wai Kin Wong
31
0
0
06 Jan 2025
Ultrasound Lung Aeration Map via Physics-Aware Neural Operators
Jiayun Wang
Oleksii Ostras
Masashi Sode
Bahareh Tolooshams
Zongyi Li
Kamyar Azizzadenesheli
Gianmarco Pinton
Anima Anandkumar
38
1
0
03 Jan 2025
Evidential Deep Learning for Probabilistic Modelling of Extreme Storm
  Events
Evidential Deep Learning for Probabilistic Modelling of Extreme Storm Events
Ayush Khot
Xihaier Luo
Ai Kagawa
Shinjae Yoo
EDL
BDL
81
0
0
18 Dec 2024
Self-attentive Transformer for Fast and Accurate Postprocessing of
  Temperature and Wind Speed Forecasts
Self-attentive Transformer for Fast and Accurate Postprocessing of Temperature and Wind Speed Forecasts
Aaron Van Poecke
Tobias Sebastian Finn
Ruoke Meng
Joris Van den Bergh
Geert Smet
Jonathan Demaeyer
Piet Termonia
Hossein Tabari
Peter Hellinckx
82
0
0
18 Dec 2024
Data-Efficient Inference of Neural Fluid Fields via SciML Foundation
  Model
Data-Efficient Inference of Neural Fluid Fields via SciML Foundation Model
Yuqiu Liu
Jingxuan Xu
Mauricio Soroco
Yunchao Wei
Wuyang Chen
AI4CE
84
2
0
18 Dec 2024
A physics-informed transformer neural operator for learning generalized solutions of initial boundary value problems
A physics-informed transformer neural operator for learning generalized solutions of initial boundary value problems
Sumanth Kumar Boya
Deepak Subramani
AI4CE
96
0
0
12 Dec 2024
Self-Supervised Learning with Probabilistic Density Labeling for
  Rainfall Probability Estimation
Self-Supervised Learning with Probabilistic Density Labeling for Rainfall Probability Estimation
Junha Lee
Sojung An
Sujeong You
Namik Cho
78
0
0
08 Dec 2024
On the Boundary Feasibility for PDE Control with Neural Operators
On the Boundary Feasibility for PDE Control with Neural Operators
Hanjiang Hu
Changliu Liu
AI4CE
75
1
0
23 Nov 2024
What You See is Not What You Get: Neural Partial Differential Equations
  and The Illusion of Learning
What You See is Not What You Get: Neural Partial Differential Equations and The Illusion of Learning
Arvind Mohan
Ashesh Chattopadhyay
Jonah Miller
102
0
0
22 Nov 2024
Global spatio-temporal downscaling of ERA5 precipitation through
  generative AI
Global spatio-temporal downscaling of ERA5 precipitation through generative AI
Luca Glawion
Julius Polz
Harald Kunstmann
Benjamin Fersch
Christian Chwala
AI4Cl
113
0
0
22 Nov 2024
NeuralDEM -- Real-time Simulation of Industrial Particulate Flows
NeuralDEM -- Real-time Simulation of Industrial Particulate Flows
Benedikt Alkin
Tobias Kronlachner
Samuele Papa
Stefan Pirker
Thomas Lichtenegger
Johannes Brandstetter
PINN
AI4CE
57
1
1
14 Nov 2024
When are dynamical systems learned from time series data statistically
  accurate?
When are dynamical systems learned from time series data statistically accurate?
Jeongjin Park
Nicole Yang
Nisha Chandramoorthy
AI4TS
36
4
0
09 Nov 2024
A Monte Carlo Framework for Calibrated Uncertainty Estimation in
  Sequence Prediction
A Monte Carlo Framework for Calibrated Uncertainty Estimation in Sequence Prediction
Qidong Yang
Weicheng Zhu
Joseph Keslin
L. Zanna
Tim G. J. Rudner
Carlos Fernandez-Granda
BDL
UQCV
AI4TS
46
0
0
30 Oct 2024
Online Test of a Neural Network Deep Convection Parameterization in
  ARP-GEM1
Online Test of a Neural Network Deep Convection Parameterization in ARP-GEM1
Blanka Balogh
David Saint-Martin
Olivier Geoffroy
24
0
0
29 Oct 2024
Modulated Adaptive Fourier Neural Operators for Temporal Interpolation
  of Weather Forecasts
Modulated Adaptive Fourier Neural Operators for Temporal Interpolation of Weather Forecasts
Jussi Leinonen
Boris Bonev
Thorsten Kurth
Y. Cohen
30
0
0
24 Oct 2024
Prototype-Based Methods in Explainable AI and Emerging Opportunities in
  the Geosciences
Prototype-Based Methods in Explainable AI and Emerging Opportunities in the Geosciences
Anushka Narayanan
Karianne J. Bergen
31
1
0
22 Oct 2024
On conditional diffusion models for PDE simulations
On conditional diffusion models for PDE simulations
Aliaksandra Shysheya
Cristiana-Diana Diaconu
Federico Bergamin
P. Perdikaris
José Miguel Hernández-Lobato
Richard E. Turner
Emile Mathieu
DiffM
31
5
0
21 Oct 2024
Can AI weather models predict out-of-distribution gray swan tropical cyclones?
Can AI weather models predict out-of-distribution gray swan tropical cyclones?
Y. Qiang Sun
P. Hassanzadeh
Mohsen Zand
A. Chattopadhyay
J. Weare
D. Abbot
38
7
0
19 Oct 2024
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