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Data Assimilation with Numerical model error

Budd, C (University of Bath)
Thursday 24 November 2011, 14:00-15:00

Seminar Room 2, Newton Institute Gatehouse


Data assimilation addresses the inverse problem of, given a set of uncertain observations and a numerical approximation to a physical system, what set of parameters, especially the initial condition, leads to a forward computation (the 'analysis') which best solves this problem. Data assimilation is widely used in meteorological applications. In this talk I will briefly describe the 4D-VAR method for data assimilation, and then show how its results are influenced by using a variety of different numerical schemes with associated numerical model error. Joint work with Sian Jenkins, Melina Freitag and Nathan Smith (Bath)

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