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@Article{MignacTanSanLimXie:2015:ArDaAs,
               author = "Mignac, Davi and Tanajura, Clemente Augusto Souza and Santana, 
                         Alex Novaes de and Lima, Leonardo Nascimento and Xie, Jiping",
          affiliation = "{Universidade Federal da Bahia (UFBA)} and {Universidade Federal 
                         da Bahia (UFBA)} and {Universidade Federal da Bahia (UFBA)} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)} and {Chinese 
                         Academy of Sciences}",
                title = "Argo data assimilation into HYCOM with an EnOI method in the 
                         Atlantic Ocean",
              journal = "Ocean Science",
                 year = "2015",
               volume = "11",
               number = "1",
                pages = "195--213",
             keywords = "Assimila{\c{c}}{\~a}o de dados, Argo, Oceanografia 
                         Operacional.",
             abstract = "An ocean data assimilation system to assimilate Argo temperature 
                         (T ) and salinity (S) profiles into the HYbrid Coordinate Ocean 
                         Model (HYCOM) was constructed, implemented and evaluated for the 
                         first time in the Atlantic Ocean (78\◦ S to 50\◦ N 
                         and 98\◦ W to 20\◦ E). The system is based on the 
                         ensemble optimal interpolation (EnOI) algorithm proposed by Xie 
                         and Zhu (2010), especially made to deal with the hybrid nature of 
                         the HYCOM vertical coordinate system with multiple steps. The Argo 
                         T S profiles were projected to the model vertical space to create 
                         seudoobserved layer thicknesses (1pobs), which correspond to the 
                         model target densities. The first step was to assimilate 1pobs 
                         considering the sub-state vector composed by the model layer 
                         thickness (1p) and the baroclinic velocity components. After that, 
                         T and S were assimilated separately. Finally, T was diagnosed 
                         below the mixed layer to preserve the density of the model 
                         isopycnal layers. Five experiments were performed from 1 January 
                         2010 to 31 December 2012: a control run without assimilation, and 
                         four assimilation runs considering the different vertical 
                         localizations of T , S and 1p. The assimilation experiments were 
                         able to significantly improve the thermohaline structure produced 
                         by the control run. They reduced the root mean square deviation 
                         (RMSD) of T and S calculated with respect to Argo independent data 
                         in 34 and 44 %, respectively, in comparison to the control run. In 
                         some regions, such as the western North Atlantic, substantial 
                         corrections in the 20 \◦C isotherm depth and the upper 
                         ocean heat content towards climatological states were achieved. 
                         The runs with a vertical localization of 1p showed positive 
                         impacts in the correction of the thermohaline structure and 
                         reduced the RMSD of T (S) from 0.993 \◦C (0.149 psu) to 
                         0.905 \◦C (0.138 psu) for the whole domain with respect to 
                         the other assimilation runs.",
                  doi = "10.5194/os-11-195-2015",
                  url = "http://dx.doi.org/10.5194/os-11-195-2015",
                 issn = "1812-0784",
                label = "lattes: 7758920363746942 4 MignacTanSanLimXie:2015:ArDaAs",
             language = "en",
        urlaccessdate = "25 nov. 2020"
}


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