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Achieving Conservation of Energy in Neural Network Emulators for Climate
  Modeling

Achieving Conservation of Energy in Neural Network Emulators for Climate Modeling

15 June 2019
Tom Beucler
S. Rasp
Michael S. Pritchard
Pierre Gentine
ArXiv (abs)PDFHTML

Papers citing "Achieving Conservation of Energy in Neural Network Emulators for Climate Modeling"

2 / 2 papers shown
Title
CondensNet: Enabling stable long-term climate simulations via hybrid deep learning models with adaptive physical constraints
CondensNet: Enabling stable long-term climate simulations via hybrid deep learning models with adaptive physical constraints
Xin Wang
Juntao Yang
Jeff Adie
Simon See
Kalli Furtado
Chen Chen
T. Arcomano
R. Maulik
G. Mengaldo
AI4CE
77
0
0
18 Feb 2025
Deep learning to represent sub-grid processes in climate models
Deep learning to represent sub-grid processes in climate models
S. Rasp
Michael S. Pritchard
Pierre Gentine
AI4ClAI4CE
54
735
0
12 Jun 2018
1