Optimal Combining Data for Improving Ocean Modeling
Abstract
The long-range scientific goals of the proposed research include the following: (1) developing rigorous approaches to optimally combining different kinds of data (i.e., images, CTD, HFR, glider, drifters, and possibly output of regional circulation models) for accurate estimation of the upper ocean velocity field, subsurface thermohaline structure, and mixing characteristics; (2) constructing computationally efficient and robust estimation algorithms based on alternative parameterizations of uncertainty and comprehensively testing them on synthetic data; and (3) processing real data in the Adriatic and Ligurian Sea via new techniques. The specific objectives for the third year of research are as follows: (1) further develop and test methods for fusing glider data with ship CTD observations with a focus on reconstructing frontal zones and identifying three-dimensional thermohaline structures, and (2) develop parametric methods for estimating finite-size Lyapunov exponent (FSLE) from sparse drifter data on the basis of theoretical studies of FSLE for anisotropic circulation patterns.
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 30, 2013
- Accession Number
- ADA599287
Entities
People
- L. I. Piterbarg
Organizations
- University of Southern California