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IMPACTS OF REMO OCEAN DATA ASSIMILATION SYSTEM (RODAS) ON THE 24 hour FORECAST OF HYCOM 1/12°

Costa F. B., Santana A. N., Mignac D., Tanajura C. A. S., Carvalho J. P. S.
Oceanographic Modeling and Observation Network (REMO), Federal University of Bahia (UFBA), Brazil
(Abstract received 04/30/2015 for session X)
ABSTRACT

This work presents the REMO Ocean Data Assimilation System (RODAS) implemented in the HYbrid Coordinate Ocean Model (HYCOM) with 1/12° on the western tropical and South Atlantic. RODAS employs a multivariate Ensemble Optimal Interpolation scheme that assimilates Argo Temperature (T) and Salinity (S) profiles, UK MetOffice OSTIA Sea Surface Temperature (SST) analyses and along-track satellite Sea-Level Anomalies (SLA). Impact of RODAS on the HYCOM's 24 h forecast was assessed by comparing four years of a assimilation run and a free run, with no assimilation, against in situ and satellite data. Preliminary results show a very significant reduction of the root mean square deviation of the SST and subsurface temperature and salinity. For the SLA of HYCOM, assimilation increased the models correlation with respect to AVISO's SLA by 86%. Significant and positive impacts were also verified on the positioning of the Bifurcation of the South Equatorial Current and representation of Brazil-Malvinas Confluence.

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2015 LOM Workshop, Copenhagen, Denmark June 2nd - 4th, 2015