The authors report on the development of an efficient and accurate tool for computing Lagrangian trajectories using time-varying velocities. By linearly interpolating the velocities both in space and time one can obtain analytical expressions for the trajectory inside each model grid box. In combination with a numerical deter- mination of the transit times through each grid box, these expressions allow for the implementation of expedient algorithms for offline analyses of large datasets resulting from general circulation models. The authors dem- onstrate the efficacy of this approach on a time-varying two-dimensional model gyre.
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