Geometric methods from dynamical systems are used to study Lagrangian
transport in numerically generated, time-dependent, two-dimensional (2
D) vector fields. The flows analyzed here are numerical solutions to t
he barotropic, beta-plane, potential vorticity equation with viscosity
, where the partial differential equation (PDE) parameters have been c
hosen so that the solution evolves to a meandering jet. Numerical meth
ods for approximating invariant manifolds of hyperbolic fixed points f
or maps are successfully applied to the aperiodic vector field where r
egions of strong hyperbolicity persist for long times relative to the
dominant time period in the flow. Cross sections of these 2D ''stable'
' and ''unstable'' manifolds show the characteristic transverse inters
ections identified with chaotic transport in 2D maps, with the lobe ge
ometry approximately recurring on a time scale equal to the dominant t
ime period in the vector field. The resulting lobe structures provide
time-dependent estimates for the transport between different flow regi
mes. Additional numerical experiments show that the computation of suc
h lobe geometries are very robust relative to variations in interpolat
ion, integration and differentiation schemes.