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Synthesis of Models and Observed Data

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Modelling Ocean Climate Variability

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Abstract

We consider the behavior of prognostic models in the initial phase starting with observed data, i.e. time and space averaged T and S fields. Analysis of the initial stage energetics shows that a dramatic fall of kinetic energy happens during the first six hours of integration. Here and in other parts of the book we justify our opinion on the necessity to monitor the calculation energetics from the very initial stage. Further, in this chapter a method used by WOCE and other programs is presented of T, S sections data processing generating the three velocity components and enriching the observed T, S data. Then based on Kalman filtering, a model of a four-dimensional analysis of hydrophysical ocean fields is presented, its accuracy tested and applied to data from several regions of the North Atlantic.

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Authors and Affiliations

  1. Russian Academy of Sciences, Institute of Numerical Mathematics, Gubkina 8, Moscow, Russia 119991

    Prof.Dr. Artem S. Sarkisyan

  2. Institute of Oceanography, University of Hamburg, Bundesstr 53, 20146 Hamburg, Germany

    Prof.Dr. Jürgen E. Sündermann

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  1. Prof.Dr. Artem S. Sarkisyan
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  2. Prof.Dr. Jürgen E. Sündermann
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Correspondence to Artem S. Sarkisyan .

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Sarkisyan, A.S., Sündermann, J.E. (2009). Synthesis of Models and Observed Data. In: Modelling Ocean Climate Variability. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-9208-4_4

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