53 citations · 54 across the 2 of their papers we have counts for
2 papers
physics.ao-ph2020★ 53 cited
Predicting atmospheric optical properties for radiative transfer computations using neural networks
Menno A. Veerman, Robert Pincus, Robin Stoffer +3
The radiative transfer equations are well-known, but radiation parametrizations in atmospheric models are computationally expensive. A promising tool for accelerating parametrizati…
cs.CE2020★ 1 cited
Deep-learning enhancement of large scale numerical simulations
Caspar van Leeuwen, Damian Podareanu, Valeriu Codreanu +11
Traditional simulations on High-Performance Computing (HPC) systems typically involve modeling very large domains and/or very complex equations. HPC systems allow running large mod…