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Ocean Science An interactive open-access journal of the European Geosciences Union
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Satellite altimetry have revolutionized the ocean observation by monitoring the sea level with a very good spatio-temporal coverage. However, only the sea level anomalies are retrieved; to monitor the whole oceanic signal a temporal mean (called MDT=Mean Dynamic Topography) must be added to these anomalies. In this study we present the newly updated CNES-CLS18 MDT. An evaluation of this new solution shows significant improvements both in strong currents and coastal areas.
Preprints
https://doi.org/10.5194/os-2020-117
https://doi.org/10.5194/os-2020-117

  07 Jan 2021

07 Jan 2021

Review status: this preprint is currently under review for the journal OS.

The new CNES-CLS18 Global Mean Dynamic Topography

Sandrine Mulet1, Marie-Hélène Rio1,2, Hélène Etienne1, Camilia Artana3,4, Mathilde Cancet5, Gérald Dibarboure6, Hui Feng7, Romain Husson8, Nicolas Picot6, Christine Provost3, and P. Ted Strub9 Sandrine Mulet et al.
  • 1CLS, Altimetry and In-Situ Oceanography, Ramonville Saint Agne, 31520, France
  • 2ESA/ESRIN, Frascati, 00044, Italy
  • 3Laboratoire LOCEAN‐IPSL, Sorbonne Université (UPMC, University Paris 6), CNRS, IRD, MNHN, Paris, 75000, France
  • 4Mercator Océan, Ramonville Saint Agne, 31520, France
  • 5Noveltis, Labège, F-31670, France
  • 6CNES, Ramonville Saint Agne, 31520, France
  • 7Ocean Process Analysis Lab, University of New Hampshire, Durham, NH 03824, USA
  • 8CLS Brest, Plouzané, 29280, France
  • 9College of Earth, Ocean and Atmospheric Sciences, Oregon State University, Corvallis, OR 97331-5503, USA

Abstract. The Mean Dynamic Topography (MDT) is a key reference surface for altimetry. It is needed for the calculation of the ocean absolute dynamic topography, and under the geostrophic approximation, the estimation of surface currents. CNES-CLS Mean Dynamic Topography (MDT) solutions are calculated by merging information from altimeter data, GRACE and GOCE gravity field and oceanographic in-situ measurements (drifting buoy velocities, hydrological profiles). The objective of this paper is to present the newly updated CNES-CLS18 MDT. The main improvement compared to the previous CNES-CLS13 solution is the use of updated input datasets: the GOCO05S geoid model is used based on the complete GOCE mission (November 2009–October 2013) and 10.5 years of GRACE data, together with all drifting buoy velocities (SVP-type and Argo floats) and hydrological profiles (CORA database) available from 1993–2017 (instead of 1993–2012). The new solution also benefits from improved data processing – in particular a new wind-driven current model has been developed to extract the geostrophic component from the buoy velocities; and methodology – in particular the computation of the medium scale GOCE-based MDT first guess and the correlation scales used for the multivariate mapping have been revised. An evaluation of the new solution compared to the previous version and to other existing MDT show significant improvements both in strong currents and coastal areas.

Sandrine Mulet et al.

Status: open (until 04 Mar 2021)

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Sandrine Mulet et al.

Sandrine Mulet et al.

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Short summary
Satellite altimetry have revolutionized the ocean observation by monitoring the sea level with a very good spatio-temporal coverage. However, only the sea level anomalies are retrieved; to monitor the whole oceanic signal a temporal mean (called MDT=Mean Dynamic Topography) must be added to these anomalies. In this study we present the newly updated CNES-CLS18 MDT. An evaluation of this new solution shows significant improvements both in strong currents and coastal areas.
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