Combining data assimilation and machine learning to emulate a dynamical model from sparse and noisy observations: A case study with the Lorenz 96 model (2020)
Attributed to:
NCEO Data Assimilation Theory and Applications
funded by
NERC
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.1016/j.jocs.2020.101171
Publication URI: http://dx.doi.org/10.1016/j.jocs.2020.101171
Type: Journal Article/Review
Parent Publication: Journal of Computational Science