Max Yaremchuk, Peter Spence
Naval Research Laboratory
(Abstract received 05/08/2012 for session C)
ABSTRACT
We discuss an improved method of HFR data processing based on the combination
of the statistical analysis and 2d variational interpolation (2dVar) technique.
At the first stage raw radial velocity data are subject to correlation
analysis, which enables to fill gaps in observations and provides estimates
of the noise level and integral parameters characterizing small-scale
variability of the surface circulation. These parameters are utilized
at the second stage, when the cost function for 2dVar scheme is constructed,
and the updated gap-free radial velocities are converted into the gridded
vector fields.
Preliminary experiments with the HFR data acquired in April-August 2010 near
the Deep Water Horizon oil spill demonstrate a potentially significant
improvement of the Lagrangian forecast ability compared to the operationally
used HFR processing technique.