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Title: Displacement assimilation for ocean models
Author: Percival , James R.
ISNI:       0000 0004 2671 9996
Awarding Body: University of Reading
Current Institution: University of Reading
Date of Award: 2008
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Advances in numerical ocean modelling have led to increasing interest in data assimilation for the purpose of ocean forecasting. The majority of current assimilation techniques ignore the integral constraints inherent in ocean dynamics, and instead locally insert information from observations in an Eulerian sense. It has been shown that such methods can generate spurious circulations by affecting balance of dynamic ocean tracers. In this thesis techniques are presented which solve a rearrangement problem to perform data assimilation under an integral constraint, effectively performing assimilation in a Lagrangian sense to correct assumed initial phase error. A descent algorithm equivalent to three dimensional variational assimilation is developed for the pure rearrangement problem, based on an advective process acting in pseudo-time. This method is shown to assimilate direct observations successfully, even when observations are only available on a limited subdomain. Two novel modifications which improve the rate of convergence are also discussed.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available