2 papers
physics.ao-ph2021
Robustness of Neural Network Emulations of Radiative Transfer Parameterizations in a State-of-the-Art General Circulation Model
Alexei Belochitski, Vladimir Krasnopolsky
The ability of Machine-Learning (ML) based model components to generalize to the previously unseen inputs, and the resulting stability of the models that use these components, has…
physics.ao-ph2021
Stable Emulation of an Entire Suite of Model Physics in a State-of-the-Art GCM using a Neural Network
Alexei Belochitski, Vladimir Krasnopolsky
There has been a lot of recent interest in developing hybrid models that couple deterministic numerical model components to statistical model components derived using machine learn…