Accession Number:

ADA626002

Title:

Filtering Drifter Trajectories Sampled at Submesoscale Resolution

Descriptive Note:

Journal article

Corporate Author:

MIAMI UNIV CORAL GABLES FL

Personal Author(s):

Report Date:

2015-05-11

Pagination or Media Count:

11.0

Abstract:

In this paper, a variational method for removing positioning errors PEs from drifter trajectories is proposed. The technique is based on the assumption of statistical independence of the PEs and drifter accelerations. The method provides a realistic approximation to the probability density function of the accelerations while keeping the difference between the filtered and observed trajectories within the error bars of the positioning noise. Performance of the method is demonstrated in application to real data acquired during the Grand Lagrangian Deployment GLAD experiment in the Northern Gulf of Mexico in 2012.

Subject Categories:

  • Numerical Mathematics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE