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Climate-Invariant Machine Learning
v1v2v3v4v5 (latest)

Climate-Invariant Machine Learning

14 December 2021
Tom Beucler
Pierre Gentine
J. Yuval
Ankitesh Gupta
Liran Peng
Jerry Lin
Sungduk Yu
S. Rasp
F. Ahmed
P. O’Gorman
J. Neelin
N. Lutsko
Michael S. Pritchard
    OODAI4CE
ArXiv (abs)PDFHTML

Papers citing "Climate-Invariant Machine Learning"

6 / 6 papers shown
Title
Can AI weather models predict out-of-distribution gray swan tropical cyclones?
Can AI weather models predict out-of-distribution gray swan tropical cyclones?
Y. Qiang Sun
Pedram Hassanzadeh
Mohsen Zand
Ashesh Chattopadhyay
Jonathan Weare
D. Abbot
152
7
0
19 Oct 2024
Robustness of AI-based weather forecasts in a changing climate
Robustness of AI-based weather forecasts in a changing climate
Thomas Rackow
Nikolay Koldunov
Christian Lessig
Irina Sandu
Mihai Alexe
...
Jesper Dramsch
Florian Pappenberger
Xabier Pedruzo-Bagazgoitia
Steffen Tietsche
Thomas Jung
AI4ClAI4CEOOD
96
5
0
27 Sep 2024
Towards Physically Consistent Deep Learning For Climate Model
  Parameterizations
Towards Physically Consistent Deep Learning For Climate Model Parameterizations
Birgit Kühbacher
Fernando Iglesias-Suarez
Niki Kilbertus
Veronika Eyring
AI4CE
58
1
0
06 Jun 2024
Multiscale Neural Operator: Learning Fast and Grid-independent PDE
  Solvers
Multiscale Neural Operator: Learning Fast and Grid-independent PDE Solvers
Björn Lütjens
Catherine H. Crawford
C. Watson
C. Hill
Dava Newman
AI4CE
52
10
0
23 Jul 2022
Explaining the physics of transfer learning a data-driven subgrid-scale
  closure to a different turbulent flow
Explaining the physics of transfer learning a data-driven subgrid-scale closure to a different turbulent flow
Adam Subel
Yifei Guan
Ashesh Chattopadhyay
Pedram Hassanzadeh
AI4CE
59
43
0
07 Jun 2022
Deep Learning Based Cloud Cover Parameterization for ICON
Deep Learning Based Cloud Cover Parameterization for ICON
Arthur Grundner
Tom Beucler
Pierre Gentine
Fernando Iglesias‐Suarez
M. Giorgetta
Veronika Eyring
62
21
0
21 Dec 2021
1