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Variational data assimilation using targetted random walks

Abstract:

The variational approach to data assimilation is a widely used methodology for both online prediction and for reanalysis (offline hindcasting). In either of these scenarios it can be important to assess uncertainties in the assimilated state. Ideally it would be desirable to have complete information concerning the Bayesian posterior distribution for unknown state, given data. The purpose of this paper is to show that complete computational probing of this posterior distribution is now within...

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Publication date:
2010-01-01
URN:
uuid:1fea8385-fe53-456a-bf13-cea7e6ba992f
Local pid:
oai:eprints.maths.ox.ac.uk:1026

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