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		<citationkey>CamargoPezzHerd:2010:ObNuSt</citationkey>
		<title>Observational and numerical studies of SST variability at South Atlantic using the regional CPTEC oceanic data assimilation system (R-CODAS)</title>
		<year>2010</year>
		<secondarytype>PRE CI</secondarytype>
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		<author>Camargo, Ricardo de,</author>
		<author>Pezzi, Luciano Ponzi,</author>
		<author>Herdies, Dirceu Luis,</author>
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		<affiliation>Atmospheric Sciences, Institute of Astronomy, Geophysics and Atmospheric Sciences of University of São Paulo, São Paulo, Brazil</affiliation>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<electronicmailaddress>ricardo.camargo@cptec.inpe.br</electronicmailaddress>
		<electronicmailaddress>luciano.pezzi@cptec.inpe.br</electronicmailaddress>
		<electronicmailaddress>dirceu.herdies@cptec.inpe.br</electronicmailaddress>
		<conferencename>The Meeting of the Americas.</conferencename>
		<conferencelocation>Foz do Iguaçu</conferencelocation>
		<date>8-12 Aug. 2010</date>
		<publisher>AGU</publisher>
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		<contenttype>External Contribution</contenttype>
		<keywords>numerical modeling, ocean data assimilation, reanalysis, ocean predictability, prediction.</keywords>
		<abstract>The Sea Surface Temperature (SST) variability can play a decisive role on the atmospheric systems evolution either on climate or weather time scales. There are lots of efforts being applied to adequately represent SST features and variability, even considering uncoupled models of both atmosphere and ocean. This work aims to investigate SST features and variability at South Atlantic, based on Optimal Interpolation SST version 2 (OISSTv2) and numerical experiments performed with Regional Ocean Modeling System (ROMS) with and without data assimilation. This was made through the use of Regional CPTEC Oceanic Data Assimilation System (R-CODAS) based on Local Kalman Ensemble Filter Transform (LETKF) technique. On the observational aspects, space EOFs showed modes of SST variability at South Atlantic that can be connected to Equatorial Pacific SST anomalies linked to El-Niño Southern Oscilation (ENSO) and also to South Pacific SST variations related to extratropical signature of Pacific-South America atmospheric teleconnection patterns (PSA). For the modeling stage, ROMS simulations were performed in a 1/2 degree resolution grid covering Tropical and South Atlantic Ocean, using both bulk-fluxes formulation and NCEP/Reanalysis fluxes, being the latter with heat and fresh water flux corrections. These numerical results could show the model sensitivity to atmospheric forcing, mainly over higher latitudes of Western South Atlantic. Spin-up stages of 20 years with each of those forcing files reached dynamically balanced fields that were used as initial conditions for long integrations in the period 1980-2009. Once again, differences between bulk-formulation and NCEP/Reanalysis fluxes are more significant over Argentinean shelf than in other regions of the domain. Despite this fact, both simulations could reasonable represent SST features and variability, and could be considered for the data assimilation stage. R-CODAS is still under development/tuning and preliminary results assimilating only OISSTv2 data showed that the number of members as well as the inflation coefficient are key-parameters for the simulations, reflecting directly on the capacity of the method on assimilating real data. New analyzed fields after the assimilation cycle were closer to the reality when compared with no-data-assimilation results. The next step is the consideration of Sea Surface Height from satellite data (SSH) as well as ocean profiles to be included in the assimilation procedure, besides spatial and time analyses of the numerical fields.</abstract>
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		<language>en</language>
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