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Machine Learning Emulation of 3D Cloud Radiative Effects
v1v2v3 (latest)

Machine Learning Emulation of 3D Cloud Radiative Effects

Journal of Advances in Modeling Earth Systems (JAMES), 2021
22 March 2021
David Meyer
R. Hogan
P. Dueben
Shannon L. Mason
ArXiv (abs)PDFHTMLGithub

Papers citing "Machine Learning Emulation of 3D Cloud Radiative Effects"

5 / 5 papers shown
A posteriori learning for quasi-geostrophic turbulence parametrization
A posteriori learning for quasi-geostrophic turbulence parametrizationJournal of Advances in Modeling Earth Systems (JAMES), 2022
Hugo Frezat
Julien Le Sommer
Ronan Fablet
G. Balarac
Redouane Lguensat
292
79
0
08 Apr 2022
Forecasting Global Weather with Graph Neural Networks
Forecasting Global Weather with Graph Neural Networks
R. Keisler
AI4Cl
468
262
0
15 Feb 2022
Machine Learning Emulation of Urban Land Surface Processes
Machine Learning Emulation of Urban Land Surface ProcessesJournal of Advances in Modeling Earth Systems (JAMES), 2021
David Meyer
S. Grimmond
P. Dueben
R. Hogan
M. Reeuwijk
208
22
0
21 Dec 2021
ClimART: A Benchmark Dataset for Emulating Atmospheric Radiative
  Transfer in Weather and Climate Models
ClimART: A Benchmark Dataset for Emulating Atmospheric Radiative Transfer in Weather and Climate Models
Salva Rühling Cachay
Venkatesh Ramesh
J. Cole
H. Barker
David Rolnick
175
25
0
29 Nov 2021
Copula-based synthetic data augmentation for machine-learning emulators
Copula-based synthetic data augmentation for machine-learning emulatorsGeoscientific Model Development (GMD), 2020
David Meyer
T. Nagler
R. Hogan
242
35
0
16 Dec 2020
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