@Article{MignacTanSanLimXie:2014:ArDaAs,
               author = "Mignac, Davi and Tanajura, Clemente Augusto Souza and Santana, 
                         Alex Novais 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 Institute 
                         of Atmospheric Physics, Chinese Academy of Sciences (IAP/CAS)",
                title = "Argo data assimilation into HYCOM with an EnOI method in the 
                         Atlantic Ocean",
              journal = "Ocean Science Discussions",
                 year = "2014",
               volume = "11",
               number = "4",
                pages = "1733--1781",
             abstract = "An ocean data assimilation system to assimilate Argo temperature 
                         (T ) and salinity (S) profiles into 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 HYCOM vertical coordinate system 
                         with multiple steps. The Argo T/S profiles were projected to the 
                         model vertical space to create pseudo-observed layer thicknesses 
                         (\∆pobs) which correspond to the model target densities. 
                         The first step was to assimilate \∆pobs considering the 
                         sub-state vector composed by the model layer thickness 
                         (\∆p) and the baroclinic velocity components. After that, T 
                         and S were assimilated separately. At last, T was diagnosed below 
                         the mixed layer to preserve the density of the model isopycnal 
                         layers. Five experiments were performed from 1 January 2010 until 
                         31 December 2012: a control run without assimilation, and four 
                         assimilation runs considering different vertical localizations of 
                         T ,S and \∆p. The assimilation experiments were able to 
                         significantly improve the thermohaline structure produced by the 
                         control run. They reduced the RMSD of T (S) calculated with 
                         respect to Argo independent data in 34.11 % (43.56 %) in 
                         comparison to the control run. In some regions, such as the west 
                         North Atlantic, substantial corrections in the 20 \◦C 
                         isotherm depth and the upper ocean heat content towards 
                         climatological states were achieved. The runs with vertical 
                         localization of \∆p 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/osd-11-1733-2014",
                  url = "http://dx.doi.org/10.5194/osd-11-1733-2014",
                 issn = "1812-0806",
                label = "lattes: 7758920363746942 4 MignacTanSanLimXie:2014:ArDaAs",
             language = "en",
        urlaccessdate = "27 abr. 2024"
}