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Argo Data Assimilation Into Hycom with an Enoi Method in the Atlantic Ocean : Volume 11, Issue 1 (11/02/2015)

By Mignac, D.

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Book Id: WPLBN0004020248
Format Type: PDF Article :
File Size: Pages 19
Reproduction Date: 2015

Title: Argo Data Assimilation Into Hycom with an Enoi Method in the Atlantic Ocean : Volume 11, Issue 1 (11/02/2015)  
Author: Mignac, D.
Volume: Vol. 11, Issue 1
Language: English
Subject: Science, Ocean, Science
Collections: Periodicals: Journal and Magazine Collection, Copernicus GmbH
Historic
Publication Date:
2015
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications

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Lima, L. N., S. Tanajur, C. A., Santana, A. N., Mignac, D., & Xie, J. (2015). Argo Data Assimilation Into Hycom with an Enoi Method in the Atlantic Ocean : Volume 11, Issue 1 (11/02/2015). Retrieved from http://www.ebooklibrary.org/


Description
Description: Graduate Program in Geophysics, Physics Institute and Geosciences Institute, Federal University of Bahia, Salvador, Brazil. 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.

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

Excerpt
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