Parallel in time algorithms for data assimilation. Internship proposal Supervisors
نویسندگان
چکیده
Variational data assimilation is a very common method for the initialisation of numerical models. It is widely used for instance in Numerical Weather Prediction systems (Météo-France, UK MetOffice, . . .). It aims at finding an optimal initial solution that will bring the model trajectory closer to observations of the system over a given time window. This is done using optimal control techniques where a cost function depending on the sought initial condition is minimised using an iterative method.
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