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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)

First Author: Brajard J

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