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Ocean Science An interactive open-access journal of the European Geosciences Union
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Volume 7, issue 1
Ocean Sci., 7, 151–164, 2011
https://doi.org/10.5194/os-7-151-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.
Ocean Sci., 7, 151–164, 2011
https://doi.org/10.5194/os-7-151-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.

Review article 23 Feb 2011

Review article | 23 Feb 2011

An ocean modelling and assimilation guide to using GOCE geoid products

K. Haines1, J. A. Johannessen2, P. Knudsen3, D. Lea4, M.-H. Rio5, L. Bertino2, F. Davidson6, and F. Hernandez7 K. Haines et al.
  • 1Environmental Systems Science Centre, Harry Pitt Bld, 3 Earley Gate, Reading University, Reading RG6 6AL, UK
  • 2NERSC, Nansen Environmental and Remote Sensing Centre, Thormøhlensgt. 47, 5006 Bergen, Norway
  • 3Technical University of Denmark, National Space Institute, Department for Geodesy, Juliane Maries Vej 30, 2100 Copenhagen, Denmark
  • 4Met Office, FitzRoy Road, Exeter EX1 3PB, UK
  • 5Collecte Localisation Satellites, CLS-DOS, 8–10 rue Hermes, Parc Technologique du Canal, Ramonville St Agne, 31520, France
  • 6DFO-NAFC MPO-NAFC, 80 East White Hills Rd, P.O. Box 5667, St. John's, NL A1C 5X1, Canada
  • 7Mercator Ocean/IRD, 8–10 rue Hermes, Parc Technologique du Canal, Ramonville St Agne, 31520, France

Abstract. We review the procedures and challenges that must be considered when using geoid data derived from the Gravity and steady-state Ocean Circulation Explorer (GOCE) mission in order to constrain the circulation and water mass representation in an ocean general circulation model. It covers the combination of the geoid information with time-mean sea level information derived from satellite altimeter data, to construct a mean dynamic topography (MDT), and considers how this complements the time-varying sea level anomaly, also available from the satellite altimeter. We particularly consider the compatibility of these different fields in their spatial scale content, their temporal representation, and in their error covariances. These considerations are very important when the resulting data are to be used to estimate ocean circulation and its corresponding errors.

We describe the further steps needed for assimilating the resulting dynamic topography information into an ocean circulation model using three different operational forecasting and data assimilation systems. We look at methods used for assimilating altimeter anomaly data in the absence of a suitable geoid, and then discuss different approaches which have been tried for assimilating the additional geoid information. We review the problems that have been encountered and the lessons learned in order the help future users. Finally we present some results from the use of GRACE geoid information in the operational oceanography community and discuss the future potential gains that may be obtained from a new GOCE geoid.

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