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A Time-Space Description of the Analysis Produced by a Data Assimilation Method

  • K. P. BelyaevEmail author
  • C. A. S. Tanajura
Chapter
Part of the Understanding Complex Systems book series (UCS)

Abstract

The objective analysis of the upper ocean temperature field and its error covariance structure are discussed. The assimilation technique used to produce the analysis is based on the application of the Fokker-Planck equation. In the present study, the ocean general circulation model MOM3 from GFDL/NOAA and vertical profiles of temperature from the PIRATA observational array in the tropical Atlantic Ocean are utilised in conjunction with a data assimilation scheme. The results show that the analysis has warmer mixed layer than the model, and cooler temperatures immediately below the mixed layer. The analysis was compared with independent data. The structure of the analysis is assessed by an eigenvector expansion of the error covariance matrix. It is shown that the largest covariance is in the mixed layer, with maxima located around the observational points. Also, the covariance is relevant in a large area in the tropical Atlantic, showing the basin is dynamically linked.

Keywords

Mixed Layer Kalman Filter Data Assimilation Ocean General Circulation Model Assimilation Experiment 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.Shirshov Institute of Oceanology (SIORAS)Russian Academy of ScienceMoscowRussia
  2. 2.Dept. Geophysics and GeologyFederal University of Bahia, CPGGSalvadorBrazil

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