Impact on Oceanic Dynamics from Assimilation of Satellite Surface Height Anomaly Data into the Hybrid Coordinate Ocean Model (HYCOM) over the Atlantic Ocean
C. A. S. Tanajuraa, b, c, *, L. N. Limab, **, and K. Belyaeva, d, e, ***Translated by G. Karabashev
aInstituto de Fisica, Universidade Federal da Bahia, Salvador, Brazil
bCentro de Pesquisa de Geologia e Geofísica, Universidade Federal da Bahia, Salvador, Brazil
cDepartment of Ocean Sciences, University of California, Santa Cruz, USA
dShirshov Institute of Oceanology, Russian Academy of Sciences, Moscow, Russia
eKeldysh Federal Research Centre for Applied Mathematics RAS, Moscow, Russia
Correspondence to: *e-mail: cast@ufba.br
Correspondence to: **e-mail: Leonasclima@gmail.com
Correspondence to: ***e-mail: kb@sail.msk.ru
Received 19February, 2015
Abstract—Observed along-track data of sea surface height anomalies (SSHAs) over the Atlantic Ocean from the Jason-1 and Jason-2 satellites were assimilated into the Hybrid-Coordinate Ocean Model (HYCOM) with the Ensemble Optimal Interpolation scheme (EnOI). The impact of assimilation of SSHA with focus on oceanic dynamics was investigated. Time series of analyzed and forecasted values were compared with a model free run with the same forcing but without assimilation. In addition, the results were compared with an independent run, the so-called HYCOM + NCODA analysis from the US Navy. The study shows that the assimilation technique with some modifications allowed substantial improvement in the 24 h ocean prediction by reducing the forecast errors in comparison with the free run. It is also shown that the analyzed sea surface fields contain mesoscale and synoptic variability, which are poorly seen in the free run.
DOI: 10.1134/S000143701603022X