Optimal Combining Data for Improving Ocean Modeling

Abstract

The long range scientific objectives of the proposed research comprise: (1) developing rigorous approaches to optimal combining satellite and drifter data with an output of a regional circulation model for accurate estimating the upper ocean velocity field and mixing characteristics such as relative dispersion and finite size Lyapunov exponent, (2) constructing and comprehensive testing computationally efficient estimation algorithms based on alternative parameterizations of uncertainty,(3) processing real data in the Adriatic and Ligurian Sea (MREA coastal experiments) via new techniques.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2008
Accession Number
ADA534083

Entities

People

  • L. J. Piterbarg

Organizations

  • University of Southern California

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Algorithms
  • Data Fusion
  • Differential Equations
  • Dispersions
  • Error Analysis
  • Errors
  • Flow
  • Fuzzy Logic
  • Information Science
  • Ligurian Sea
  • Monte Carlo Method
  • Oceans
  • Partial Differential Equations
  • Regions
  • Shear Flow
  • Stagnation Point
  • Stratified Fluids

Fields of Study

  • Environmental science

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Oceanography.

Technology Areas

  • Space