Data Assimilation Meetings at Reading

Date Meeting type Speakers
6 March 2013 Invited Speaker Sian Jenkins (Univeristy of Bath)
Numerical Error in 4D-Variational Data Assimilation. (pdf)

4D-Variational data assimilation is typically used for forecasting physical systems. It finds an initial condition for a numerical model, by combining observations with predictions. The numerical model is then used to produce a forecast. Numerical model error affects the accuracy of the initial condition and its forecast. We find an upper bound for the numerical model error introduced by finite difference schemes used to solve the linear advection equation and analyse its order of convergence.

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