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 both to predict ocean conditions and to assess the optimal strategies for deploying Lagrangian observational devices and their associated sensors. The development of a fully operational, integrated data assimilation scheme will afford such a naval predictive capacity in fixed ocean regions that can be comprehensively surveyed by Lagrangian measuring devices. The long-term objective of this project is the building of comprehensive and reliable data assimilation (DA) platform for incorporating Lagrangian data into ocean models. It will 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, 2006
- Accession Number
- ADA613573
Entities
People
- Kayo Ide
Organizations
- University of California, Los Angeles