Using probabilistic machine learning to better model temporal patterns in parameterizations: a case study with the Lorenz 96 model (2023)
Attributed to:
Reliable Climate Projections: The Final Frontier for Stochastic Parametrisation
funded by
NERC
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.5194/gmd-16-4501-2023
Publication URI: http://dx.doi.org/10.5194/gmd-16-4501-2023
Type: Journal Article/Review
Parent Publication: Geoscientific Model Development
Issue: 15