Combining data assimilation and machine learning to emulate a dynamical model from sparse and noisy observations: A case study with the Lorenz 96 model

TitleCombining data assimilation and machine learning to emulate a dynamical model from sparse and noisy observations: A case study with the Lorenz 96 model
Publication TypeJournal Article
Year of Publication2020
AuthorsBrajard, J, Carrassi, A, Bocquet, M, Bertino, L
JournalJournal of Computational Science
Volume44
ISSN1877-7503
DOI10.1016/j.jocs.2020.101171
Refereed DesignationRefereed
Author Address

NERSC