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Bayesian Estimation. Optimal Interpolation. Statistical Linear Estimation

  • O. Talagrand
Part of the NATO Science Series book series (NAIV, volume 26)

Abstract

The purpose of data assimilation can be described as to evaluate as accurately as possible the state of the atmospheric (or oceanic) flow, using all available relevant information. Depending on the particular application that is being considered, one may want to evaluate the state of the flow at a given time, or alternatively the evolution of the flow over a given period of time. As for the available information, it essentially consists of two components:

Keywords

Covariance Function Data Assimilation Data Vector Observational Error Optimal Interpolation 
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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References

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Copyright information

© Springer Science+Business Media Dordrecht 2003

Authors and Affiliations

  • O. Talagrand
    • 1
  1. 1.Laboratoire de Météorologie DynamiqueCNRS École Normale SupérieureParisFrance

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