Nonlinear Estimation and Control of Particle Trajectories in the Ocean
Abstract
Our long-range goal is to develop optimization methods: 1) to estimate the physical state of the ocean in order to understand the present and future conditions and associated variability/uncertainty, and 2) to utilize such forecast information for control-decisions such as optimal drifter deployment strategy. This is being accomplished through the use of data assimilation methods for ocean circulation models and the study of extending the assimilation formulation to an optimal control problem.
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 30, 2007
- Accession Number
- ADA573298
Entities
People
- Ashwanth Srinivasan
- Toshio M. Chin
Organizations
- Rosenstiel School of Marine, Atmospheric, and Earth Science