radar. Our approach is a two-step process.
The first step is a generalization of a co-planar fit of radial
velocities. This step produces synthetic particle
velocities on a regular grid. These synthetic velocities are defined
on the best co-plane at each grid point. Furthermore, an estimate of
the error associated with each velocity component is also calculated.
During the second step, we search for a wind field that satisfies
mass continuity and minimizes the misfit with the gridded
particle velocities. This step is cast as an optimization problem,
which is solved using a multigrid technique.
This approach has two key advantages. 1) It reduces the amount of
information processed by the minimization algorithm without discarding
high elevation angle measurements. 2) The multigrid technique allows
faster convergence rates in comparison with more conventional
optimization algorithms, especially for larger or denser grids.
We showcase this approach with data collected during
TCS-08 field campaign using the eldora radar.
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