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Ocean Science An interactive open-access journal of the European Geosciences Union
Ocean Sci., 12, 257-274, 2016
https://doi.org/10.5194/os-12-257-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Research article
16 Feb 2016
How essential are Argo observations to constrain a global ocean data assimilation system?
V. Turpin1,a, E. Remy1, and P. Y. Le Traon1,2 1Mercator Ocean, Parc Technologique du Canal, 8-10 rue Hermès, 31520 Ramonville Saint Agne, France
2IFREMER, Technopôle Brest Iroise, Z.I de la Pointe du Diable, 29280 Plouzané, France
anow at: LOCEAN, Institut Pierre Simon Laplace, 4, place Jussieu 75252 Paris, France
Abstract. Observing system experiments (OSEs) are carried out over a 1-year period to quantify the impact of Argo observations on the Mercator Ocean 0.25° global ocean analysis and forecasting system. The reference simulation assimilates sea surface temperature (SST), SSALTO/DUACS (Segment Sol multi-missions dALTimetrie, d'orbitographie et de localisation précise/Data unification and Altimeter combination system) altimeter data and Argo and other in situ observations from the Coriolis data center. Two other simulations are carried out where all Argo and half of the Argo data are withheld. Assimilating Argo observations has a significant impact on analyzed and forecast temperature and salinity fields at different depths. Without Argo data assimilation, large errors occur in analyzed fields as estimated from the differences when compared with in situ observations. For example, in the 0–300 m layer RMS (root mean square) differences between analyzed fields and observations reach 0.25 psu and 1.25 °C in the western boundary currents and 0.1 psu and 0.75 °C in the open ocean. The impact of the Argo data in reducing observation–model forecast differences is also significant from the surface down to a depth of 2000 m. Differences between in situ observations and forecast fields are thus reduced by 20 % in the upper layers and by up to 40 % at a depth of 2000 m when Argo data are assimilated. At depth, the most impacted regions in the global ocean are the Mediterranean outflow, the Gulf Stream region and the Labrador Sea. A significant degradation can be observed when only half of the data are assimilated. Therefore, Argo observations matter to constrain the model solution, even for an eddy-permitting model configuration. The impact of the Argo floats' data assimilation on other model variables is briefly assessed: the improvement of the fit to Argo profiles do not lead globally to unphysical corrections on the sea surface temperature and sea surface height. The main conclusion is that the performance of the Mercator Ocean 0.25° global data assimilation system is heavily dependent on the availability of Argo data.

Citation: Turpin, V., Remy, E., and Le Traon, P. Y.: How essential are Argo observations to constrain a global ocean data assimilation system?, Ocean Sci., 12, 257-274, https://doi.org/10.5194/os-12-257-2016, 2016.
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Short summary
Argo profiling floats are continuously sampling the world ocean, providing temperature and salinity profiles of up to 2000 m depths. This article addresses the impact of the current Argo array on real-time ocean analyses and forecasts. One-year observing system experiments were carried out with the 0.25° global Mercator Ocean monitoring and forecasting system. The improvement due to the assimilation of the Argo profiles is estimated globally and regionally, showing a significant positive impact.
Argo profiling floats are continuously sampling the world ocean, providing temperature and...
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