An Operational Technology for Assimilating Lagrangian Data Based on Dynamical Systems Techniques
Abstract
Much data in the ocean is Lagrangian in nature. Its full use in ocean prediction could advance significantly the Navy's ability to predict ocean conditions. The ultimate vision of this project has been the development of a data assimilation scheme that would afford a full naval predictive capacity in fixed ocean regions which can be comprehensively surveyed by Lagrangian measuring devices. This is based on the use of dynamical systems ideas that can generate strategies for deploying Lagrangian observational devices and their associated sensors. An effective Lagrangian data assimilation scheme coupled with an optimal deployment strategy can form the basis of an integrated prediction scheme for the ocean that can feed on both purely Lagrangian and mixed source data.
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 30, 2008
- Accession Number
- ADA534142
Entities
People
- Christopher K. R. T. Jones
Organizations
- University of North Carolina at Chapel Hill