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 observations (images, CTD, HFR, glider, drifters etc) with 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 in the Adriatic and Ligurian Sea via new techniques.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2012
Accession Number
ADA590325

Entities

People

  • L. I. Piterbarg

Organizations

  • University of Southern California

Tags

Communities of Interest

  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Accuracy
  • Algorithms
  • Data Fusion
  • Data Sets
  • Differential Equations
  • Errors
  • Estimators
  • Fuzzy Logic
  • Fuzzy Sets
  • High Resolution
  • Ligurian Sea
  • Monte Carlo Method
  • Oceans
  • Partial Differential Equations
  • Set Theory
  • Statistical Analysis
  • Test Methods

Readers

  • Coastal Oceanography
  • Neural Network Machine Learning.
  • Oceanography.

Technology Areas

  • Autonomy