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1. Neural-network parameterization of subgrid momentum transport in the atmosphere

Author

Janni Yuval and Paul A. O'Gorman

Subjects
Nonlinear Sciences::Chaotic Dynamics, Physics::Fluid Dynamics, Atmosphere, Momentum (technical analysis), Artificial neural network, Moisture, Environmental science, Mechanics, Nonlinear Sciences::Cellular Automata and Lattice Gases, Physics::Atmospheric and Oceanic Physics, Mathematics::Numerical Analysis
Abstract

Attempts to use machine learning to develop atmospheric parameterizations have mainly focused on subgrid effects on temperature and moisture, but subgrid momentum transport is also important in sim...

Published
2021

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