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Predicting atmospheric optical properties for radiative transfer
  computations using neural networks

Predicting atmospheric optical properties for radiative transfer computations using neural networks

5 May 2020
M. Veerman
R. Pincus
Robin Stoffer
C. V. van Leeuwen
Damian Podareanu
C. V. van Heerwaarden
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Papers citing "Predicting atmospheric optical properties for radiative transfer computations using neural networks"

3 / 3 papers shown
Title
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
22
20
0
29 Nov 2021
Copula-based synthetic data augmentation for machine-learning emulators
Copula-based synthetic data augmentation for machine-learning emulators
David Meyer
T. Nagler
R. Hogan
27
22
0
16 Dec 2020
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
274
5,331
0
05 Nov 2016
1