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A Multi-Scale Deep Learning Framework for Projecting Weather Extremes

A Multi-Scale Deep Learning Framework for Projecting Weather Extremes

21 October 2022
A. Blanchard
N. Parashar
B. Dodov
C. Lessig
T. Sapsis
    AI4Cl
ArXiv (abs)PDFHTML

Papers citing "A Multi-Scale Deep Learning Framework for Projecting Weather Extremes"

3 / 3 papers shown
Title
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
Ashesh Chattopadhyay
...
Zong-Yi Li
Kamyar Azizzadenesheli
Pedram Hassanzadeh
K. Kashinath
Anima Anandkumar
AI4Cl
235
693
0
22 Feb 2022
Output-weighted and relative entropy loss functions for deep learning
  precursors of extreme events
Output-weighted and relative entropy loss functions for deep learning precursors of extreme events
S. Rudy
T. Sapsis
64
17
0
01 Dec 2021
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
Ashesh Chattopadhyay
M. Mustafa
Pedram Hassanzadeh
Eviatar Bach
K. Kashinath
AI4CE
70
25
0
16 Mar 2021
1