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The impact of internal variability on benchmarking deep learning climate emulators

The impact of internal variability on benchmarking deep learning climate emulators

9 August 2024
Björn Lütjens
Raffaele Ferrari
Duncan Watson-Parris
N. Selin
    AI4Cl
ArXivPDFHTML

Papers citing "The impact of internal variability on benchmarking deep learning climate emulators"

3 / 3 papers shown
Title
ACE: A fast, skillful learned global atmospheric model for climate
  prediction
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
37
24
0
03 Oct 2023
Enhancing Computational Fluid Dynamics with Machine Learning
Enhancing Computational Fluid Dynamics with Machine Learning
Ricardo Vinuesa
Steven L. Brunton
AI4CE
98
351
0
05 Oct 2021
Convolutional LSTM Network: A Machine Learning Approach for
  Precipitation Nowcasting
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
188
7,816
0
13 Jun 2015
1