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2310.02074
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ACE: A fast, skillful learned global atmospheric model for climate prediction
3 October 2023
Oliver Watt‐Meyer
Gideon Dresdner
Jeremy McGibbon
Spencer K. Clark
Brian Henn
James Duncan
Noah D. Brenowitz
K. Kashinath
Michael S. Pritchard
Boris Bonev
Matthew E. Peters
Christopher S. Bretherton
AI4Cl
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Papers citing
"ACE: A fast, skillful learned global atmospheric model for climate prediction"
7 / 7 papers shown
Title
Exploring Design Choices for Autoregressive Deep Learning Climate Models
Florian Gallusser
Simon Hentschel
Anna Krause
Andreas Hotho
AI4Cl
22
0
0
05 May 2025
The impact of internal variability on benchmarking deep learning climate emulators
Björn Lütjens
Raffaele Ferrari
Duncan Watson-Parris
N. Selin
AI4Cl
24
1
0
09 Aug 2024
Huge Ensembles Part I: Design of Ensemble Weather Forecasts using Spherical Fourier Neural Operators
Ankur Mahesh
William D. Collins
Boris Bonev
Noah D. Brenowitz
Y. Cohen
...
Michael S. Pritchard
David Pruitt
Mark Risser
Shashank Subramanian
Jared Willard
32
6
0
06 Aug 2024
Comparing and Contrasting Deep Learning Weather Prediction Backbones on Navier-Stokes and Atmospheric Dynamics
Matthias Karlbauer
Danielle C. Maddix
Abdul Fatir Ansari
Boran Han
Gaurav Gupta
Yuyang Wang
Andrew Stuart
Michael W. Mahoney
AI4TS
29
1
0
19 Jul 2024
LUCIE: A Lightweight Uncoupled ClImate Emulator with long-term stability and physical consistency for O(1000)-member ensembles
Haiwen Guan
T. Arcomano
Ashesh Chattopadhyay
R. Maulik
AI4Cl
34
10
0
25 May 2024
Inductive biases in deep learning models for weather prediction
Jannik Thümmel
Matthias Karlbauer
S. Otte
C. Zarfl
Georg Martius
...
Thomas Scholten
Ulrich Friedrich
V. Wulfmeyer
B. Goswami
Martin Volker Butz
AI4CE
28
4
0
06 Apr 2023
Fourier Neural Operator with Learned Deformations for PDEs on General Geometries
Zong-Yi Li
Daniel Zhengyu Huang
Burigede Liu
Anima Anandkumar
AI4CE
105
243
0
11 Jul 2022
1