Optimal Combining Data for Improving Ocean Modeling
Abstract
The long range scientific goals of the proposed research comprise: (1) developing rigorous approaches to optimal combining different kinds of data (images, CTD, HFR, glider, drifters , and possibly output of regional circulation models ) for accurate estimating 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 comprehensive testing them on synthetic data (3) processing real data collected in coastal zones via new techniques
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 30, 2014
- Accession Number
- ADA624563
Entities
People
- L. I. Piterbarg
Organizations
- University of Southern California