8 citations · 12 across the 4 of their papers we have counts for
4 papers
A Machine Learning Outlook: Post-processing of Global Medium-range Forecasts
Shreya Agrawal, Rob Carver, Cenk Gazen +7
Post-processing typically takes the outputs of a Numerical Weather Prediction (NWP) model and applies linear statistical techniques to produce improve localized forecasts, by inclu…
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…
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…
Using Machine Learning for Model Physics: an Overview
Vladimir Krasnopolsky, Aleksei A. Belochitski
In the overview, a generic mathematical object (mapping) is introduced, and its relation to model physics parameterization is explained. Machine learning (ML) tools that can be use…