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Towards Physically-consistent, Data-driven Models of Convection
v1v2 (latest)

Towards Physically-consistent, Data-driven Models of Convection

20 February 2020
Tom Beucler
Michael S. Pritchard
Pierre Gentine
S. Rasp
    AI4CE
ArXiv (abs)PDFHTML

Papers citing "Towards Physically-consistent, Data-driven Models of Convection"

13 / 13 papers shown
Title
A Probabilistic Neuro-symbolic Layer for Algebraic Constraint Satisfaction
A Probabilistic Neuro-symbolic Layer for Algebraic Constraint Satisfaction
Leander Kurscheidt
Paolo Morettin
Roberto Sebastiani
Andrea Passerini
Antonio Vergari
164
1
0
25 Mar 2025
Online Test of a Neural Network Deep Convection Parameterization in
  ARP-GEM1
Online Test of a Neural Network Deep Convection Parameterization in ARP-GEM1
Blanka Balogh
David Saint-Martin
Olivier Geoffroy
34
0
0
29 Oct 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
70
1
0
06 Jun 2024
Constraining Chaos: Enforcing dynamical invariants in the training of
  recurrent neural networks
Constraining Chaos: Enforcing dynamical invariants in the training of recurrent neural networks
Jason A. Platt
S. Penny
T. A. Smith
Tse-Chun Chen
H. Abarbanel
AI4TS
87
5
0
24 Apr 2023
Inductive biases in deep learning models for weather prediction
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
113
6
0
06 Apr 2023
Physics-constrained deep learning postprocessing of temperature and
  humidity
Physics-constrained deep learning postprocessing of temperature and humidity
Francesco Zanetta
D. Nerini
Tom Beucler
M. Liniger
AI4CE
46
5
0
07 Dec 2022
Physics-Informed Learning of Aerosol Microphysics
Physics-Informed Learning of Aerosol Microphysics
P. Harder
D. Watson‐Parris
P. Stier
Dominik Strassel
N. Gauger
J. Keuper
67
20
0
24 Jul 2022
Using Probabilistic Machine Learning to Better Model Temporal Patterns
  in Parameterizations: a case study with the Lorenz 96 model
Using Probabilistic Machine Learning to Better Model Temporal Patterns in Parameterizations: a case study with the Lorenz 96 model
R. Parthipan
H. Christensen
J. S. Hosking
Damon J. Wischik
AI4CE
75
8
0
28 Mar 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
72
21
0
21 Dec 2021
Climate-Invariant Machine Learning
Climate-Invariant Machine Learning
Tom Beucler
Pierre Gentine
J. Yuval
Ankitesh Gupta
Liran Peng
...
F. Ahmed
P. O’Gorman
J. Neelin
N. Lutsko
Michael S. Pritchard
OODAI4CE
108
67
0
14 Dec 2021
Emulating Aerosol Microphysics with Machine Learning
Emulating Aerosol Microphysics with Machine Learning
P. Harder
D. Watson‐Parris
Dominik Strassel
N. Gauger
P. Stier
J. Keuper
75
6
0
22 Sep 2021
Will Artificial Intelligence supersede Earth System and Climate Models?
Will Artificial Intelligence supersede Earth System and Climate Models?
C. Irrgang
Niklas Boers
Maike Sonnewald
E. Barnes
C. Kadow
J. Staneva
J. Saynisch‐Wagner
AI4ClAI4CE
80
196
0
22 Jan 2021
Using Machine Learning for Model Physics: an Overview
Using Machine Learning for Model Physics: an Overview
V. Krasnopolsky
Aleksei A. Belochitski
PINNAI4CE
30
9
0
02 Feb 2020
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