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

TittelCombining data assimilation and machine learning to emulate a dynamical model from sparse and noisy observations: A case study with the Lorenz 96 model
PublikasjonstypeJournal Article
Utgivelseår2020
ForfattereBrajard, J, Carrassi, A, Bocquet, M, Bertino, L
TidsskriftJournal of Computational Science
Volum44
ISSN1877-7503
DOI10.1016/j.jocs.2020.101171
Refereed DesignationRefereed
Forfatterens adresse

NERSC