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The impact of internal variability on benchmarking deep learning climate emulators
9 August 2024
Björn Lütjens
Raffaele Ferrari
Duncan Watson-Parris
N. Selin
AI4Cl
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Papers citing
"The impact of internal variability on benchmarking deep learning climate emulators"
8 / 8 papers shown
Title
DiffESM: Conditional Emulation of Temperature and Precipitation in Earth System Models with 3D Diffusion Models
Seth Bassetti
Brian Hutchinson
Claudia Tebaldi
Ben Kravitz
87
5
0
17 Sep 2024
Coupled Ocean-Atmosphere Dynamics in a Machine Learning Earth System Model
Chenggong Wang
Michael S. Pritchard
Noah D. Brenowitz
Y. Cohen
Boris Bonev
Thorsten Kurth
Dale Durran
Jaideep Pathak
BDL
AI4Cl
76
15
0
12 Jun 2024
ClimateSet: A Large-Scale Climate Model Dataset for Machine Learning
Julia Kaltenborn
C. E. E. Lange
Venkatesh Ramesh
Philippe Brouillard
Yaniv Gurwicz
Chandni Nagda
Jakob Runge
Peer Nowack
David Rolnick
AILaw
77
18
0
07 Nov 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
116
47
0
03 Oct 2023
FaIRGP: A Bayesian Energy Balance Model for Surface Temperatures Emulation
S. Bouabid
Dino Sejdinovic
D. Watson‐Parris
61
5
0
14 Jul 2023
ClimaX: A foundation model for weather and climate
Tung Nguyen
Johannes Brandstetter
Ashish Kapoor
Jayesh K. Gupta
Aditya Grover
AI4Cl
AI4CE
115
271
0
24 Jan 2023
Enhancing Computational Fluid Dynamics with Machine Learning
Ricardo Vinuesa
Steven L. Brunton
AI4CE
184
385
0
05 Oct 2021
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
705
8,044
0
13 Jun 2015
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