| > Oceanography > Issues > Archive > Volume 22, Number 3 |
2009, Oceanography 22(3):96–109, http://dx.doi.org/10.5670/oceanog.2009.69
Ocean Data Assimilation Systems for GODAE
Authors | Abstract | Full Article | Citation
Authors
James Cummings | Naval Research Laboratory, Monterey, California, USA
Laurent Bertino | Modeling and Data Assimilation Group, Nansen Environmental and Remote Sensing Center, Bergen, Norway
Pierre Brasseur | Conseil National de la Recherche Scientifique/Laboratoire des Ecoulements Geophysiques et Industriels (CNRS/LEGI), Grenoble, France
Ichiro Fukumori | Ocean Circulation Division, Jet Propulsion Laboratory, Pasadena, California, USA
Masafumi Kamachi | Second Laboratory, Oceanographic Research Department, Meteorological Research Institute, Tsukuba, Japan
Matthew J. Martin | Met Office, Exeter, UK
Kristian Mogensen | European Centre for Medium-Range Weather Forecasting, Reading, UK
Peter Oke | Commonwealth Scientific and Industrial Research Organisation, Hobart, Tasmania, Australia
Charles Emmanuel Testut | Mercator Océan, Toulouse, France
Jacques Verron | Centre National de la Recherche Scientifique, Laboratoire des Ecoulements Géophysiques et Industriels, Grenoble, France
Anthony Weaver | Centre Européen de Recherche et de Formation Avancée en Calcul Scientifique, Toulouse, France
Abstract
Ocean data assimilation has matured to the point that observations are now routinely combined with model forecasts to produce a variety of ocean products. Approaches to ocean data assimilation vary widely both in terms of the sophistication of the method and the observations assimilated, and also in terms of specification of the forecast error covariances, model biases, observation errors, and quality-control procedures. In this paper, we describe some of the ocean data assimilation systems that have been developed within the Global Ocean Data Assimilation Experiment (GODAE) community. We discuss assimilation methods, observations assimilated, and techniques used to specify error covariances. In addition, we describe practical implementation aspects and present analysis performance results for some of the analysis systems. Finally, we describe plans for improving the assimilation systems in the post-GODAE time period beyond 2008.
Full Article
Citation
Cummings, J., L. Bertino, P. Brasseur, I. Fukumori, M. Kamachi, M.J. Martin, K. Mogensen, P. Oke, C.E. Testut, J. Verron, and A. Weaver. 2009. Ocean data assimilation systems for GODAE. Oceanography 22(3):96–109, http://dx.doi.org/10.5670/oceanog.2009.69.