Ocean Data Assimilation in Support of Climate Applications - Status and Perspectives -
Authors/Creators
- 1. Center für Erdsystemwissenschaften und N achhaltigkeit (CEN), Universität Hamburg, Hamburg, Germany
- 2. European Centre for Medium-Range Weather Forecasts, Shinfield Park, Reading RG2 9AX, UK
- 3. Institute for Computational Engineering and Sciences and Jackson School of Geosciences, The University of Texas at Austin, Austin (TX), USA & Department of Earth, Atmospheric, and Planetary Sciences, Massachusetts Institute of Technology, Cambridge (MA), USA
- 4. Centre Européen de Recherche et de Forma tion Avancée en Calcul Scientifique / SUC URA CERFACS/CNRS 1875, Toulouse, France
Description
Ocean data assimilation brings together observations with known dynamics encapsulated in a circulation model to describe the time-varying ocean circulation. Applications of ocean data assimilation are manifold, from marine and ecosystem forecasting to climate prediction and carbon cycle. Here we address only climate applications, which reach from improving our understanding of the ocean circulation, to estimating initial or boundary conditions and model parameters for ocean and climate forecasts. Because of differences in underlying methodologies, data assimilation products have to be used judiciously and need to be selected according to the purpose. Further advances are expected from improved models and methods for estimating and representing error information in the data assimilation system. Ultimately data assimilation into coupled climate system components is required in support of ocean and climate services. However, maintaining the requirements in terms of infrastructure and expertise for sustained data as similation remains challenging.
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