Data assimilation experiments using diffusive back-and-forth nudging for the NEMO ocean model
The diffusive back-and-forth nudging (DBFN) is an easy-to-implement iterative data assimilation method based on the well-known nudging method.It consists of a sequence of forward and backward model integrations, within a given time window, both of them using a feedback term to the observations.Therefore, in the DBFN, the nudging asymptotic behaviou