An Operational Technology for Assimilating Lagrangian Data Based on Dynamical Systems Techniques

Abstract

LONG-TERM GOAL The full use of Lagrangian observations in ocean prediction could significantly advance the Navy's ability to predict ocean conditions. The primary goal is the development of a fully operational, integrated data assimilation scheme will afford a full naval predictive capacity in fixed ocean regions which can be comprehensively surveyed by Lagrangian measuring devices. A key part of this aim will be to develop the ability to assess efficient Lagrangian deployment systems. This will be based on the use of dynamical systems ideas that can generate optimal strategies for deploying Lagrangian observational devices and their associated sensors. The optimal deployment coupled with an effective Lagrangian data assimilation strategy will form the basis of an integrated prediction scheme for the ocean that can feed on both purely Lagrangian and mixed source data.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2006
Accession Number
ADA630941

Entities

People

  • Christopher K. R. T. Jones

Organizations

  • University of North Carolina at Chapel Hill

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Algorithms
  • Assimilation
  • Autonomous Underwater Vehicles
  • Computations
  • Deployment
  • Flow
  • Flow Fields
  • Geometry
  • Mathematics
  • Naval Operations
  • North Carolina
  • Observation
  • Oceans
  • Quality Control
  • Shallow Water
  • Three Dimensional
  • Trajectories

Fields of Study

  • Environmental science

Readers

  • Acoustical Oceanography.
  • Atmospheric Science/Meteorology
  • Operations Research