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Towards physically consistent data-driven weather forecasting:
  Integrating data assimilation with equivariance-preserving deep spatial
  transformers

Towards physically consistent data-driven weather forecasting: Integrating data assimilation with equivariance-preserving deep spatial transformers

16 March 2021
A. Chattopadhyay
M. Mustafa
P. Hassanzadeh
Eviatar Bach
K. Kashinath
    AI4CE
ArXivPDFHTML

Papers citing "Towards physically consistent data-driven weather forecasting: Integrating data assimilation with equivariance-preserving deep spatial transformers"

9 / 9 papers shown
Title
Foundation Models for Weather and Climate Data Understanding: A
  Comprehensive Survey
Foundation Models for Weather and Climate Data Understanding: A Comprehensive Survey
Shengchao Chen
Guodong Long
Jing Jiang
Dikai Liu
Chengqi Zhang
SyDa
AI4CE
39
24
0
05 Dec 2023
Using Sequences of Life-events to Predict Human Lives
Using Sequences of Life-events to Predict Human Lives
Germans Savcisens
Tina Eliassi-Rad
L. K. Hansen
L. Mortensen
Lau Lilleholt
Anna Rogers
Ingo Zettler
Sune Lehmann
AI4TS
39
36
0
05 Jun 2023
W-MAE: Pre-trained weather model with masked autoencoder for
  multi-variable weather forecasting
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
50
25
0
18 Apr 2023
A Multi-Scale Deep Learning Framework for Projecting Weather Extremes
A Multi-Scale Deep Learning Framework for Projecting Weather Extremes
A. Blanchard
N. Parashar
B. Dodov
C. Lessig
T. Sapsis
AI4Cl
16
11
0
21 Oct 2022
A Causality-Based Learning Approach for Discovering the Underlying
  Dynamics of Complex Systems from Partial Observations with Stochastic
  Parameterization
A Causality-Based Learning Approach for Discovering the Underlying Dynamics of Complex Systems from Partial Observations with Stochastic Parameterization
Nan Chen
Yinling Zhang
CML
34
15
0
19 Aug 2022
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
Jaideep Pathak
Shashank Subramanian
P. Harrington
S. Raja
A. Chattopadhyay
...
Zong-Yi Li
Kamyar Azizzadenesheli
P. Hassanzadeh
K. Kashinath
Anima Anandkumar
AI4Cl
51
657
0
22 Feb 2022
Conditional Gaussian Nonlinear System: a Fast Preconditioner and a Cheap
  Surrogate Model For Complex Nonlinear Systems
Conditional Gaussian Nonlinear System: a Fast Preconditioner and a Cheap Surrogate Model For Complex Nonlinear Systems
N. Chen
Yingda Li
Honghu Liu
13
17
0
09 Dec 2021
Learning to Assimilate in Chaotic Dynamical Systems
Learning to Assimilate in Chaotic Dynamical Systems
Michael McCabe
Jed Brown
AI4TS
36
10
0
01 Nov 2021
Discovery of interpretable structural model errors by combining Bayesian
  sparse regression and data assimilation: A chaotic Kuramoto-Sivashinsky test
  case
Discovery of interpretable structural model errors by combining Bayesian sparse regression and data assimilation: A chaotic Kuramoto-Sivashinsky test case
R. Mojgani
A. Chattopadhyay
P. Hassanzadeh
27
15
0
01 Oct 2021
1