Coastal and Ocean Data Assimilation
Abstract
The long range scientific goal of this proposal is to produce optimal estimates of the state space of the ocean, its marginal seas, and coastal zones in order to document, understand, and predict average conditions and variability. This is being accomplished through the use of data assimilation methods for ocean circulation models. Our primary objective is to develop new, multiscale data assimilation algorithms for both Eulerian and Lagrangian prediction in coastal, ocean, and in transition regions that optimizes the information from measurements with different error and sampling characteristics. In particular, how to both combine and assimilate measurements that measure much different scales of motion in domains dominated by heterogenous, broadband dynamics.
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 30, 2006
- Accession Number
- ADA612624
Entities
People
- Arthur J. Mariano
- Toshio M. Chin
Organizations
- University of Miami