Journal cover Journal topic
Ocean Science An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 2.289 IF 2.289
  • IF 5-year value: 2.756 IF 5-year 2.756
  • CiteScore value: 2.76 CiteScore 2.76
  • SNIP value: 1.050 SNIP 1.050
  • SJR value: 1.554 SJR 1.554
  • IPP value: 2.65 IPP 2.65
  • h5-index value: 30 h5-index 30
  • Scimago H index value: 41 Scimago H index 41
Volume 11, issue 1 | Copyright
Ocean Sci., 11, 195-213, 2015
https://doi.org/10.5194/os-11-195-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 11 Feb 2015

Research article | 11 Feb 2015

Argo data assimilation into HYCOM with an EnOI method in the Atlantic Ocean

D. Mignac2,1, C. A. S. Tanajura4,3,2, A. N. Santana2, L. N. Lima2, and J. Xie5 D. Mignac et al.
  • 1Graduate Program in Geophysics, Physics Institute and Geosciences Institute, Federal University of Bahia, Salvador, Brazil
  • 2Oceanographic Modeling and Observation Network, Center for Research in Geophysics and Geology, Federal University of Bahia, Salvador, Brazil
  • 3Physics Institute, Federal University of Bahia, Salvador, Brazil
  • 4Ocean Sciences Department, University of California, Santa Cruz, CA, USA
  • 5Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China

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 TS profiles were projected to the model vertical space to create pseudo-observed layer thicknesses (Δ pobs), which correspond to the model target densities. The first step was to assimilate Δ pobs considering the sub-state vector composed by the model layer thickness (Δ p) 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 Δ p. 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 Δ 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.

Publications Copernicus
Download
Citation
Share