Accession Number:

ADA537669

Title:

Inhomogeneous and Nonstationary Feature Analysis: Melding of Oceanic Variability and Structure (INFAMOVS)

Descriptive Note:

Annual rept.

Corporate Author:

MIAMI UNIV FL ROSENSTIEL SCHOOL OF MARINE AND ATMOSPHERIC SCIENCE

Personal Author(s):

Report Date:

1998-09-30

Pagination or Media Count:

5.0

Abstract:

One of the primary research goals at RSMAS is real-time forecasting of both Eulerian fields, such as temperature and velocity, and Lagrangian trajectories. The five primary components are i MICOM, the Miami Isopycnal Coordinate Ocean Model, ii satellite-derived sea surface temperature and height fields and data from Lagrangian drifters, iii an Extended Kalman Filter EKF with a second-order Gauss-Markov Random Field GMRF model for spatial covariances, iv a random flight turbulence model for Lagrangian trajectory prediction, and v contour-based parameter estimation and assimilation techniques. Documenting, understanding, and predicting ocean variability through the use of new data analysis and assimilation techniques.

Subject Categories:

  • Physical and Dynamic Oceanography

Distribution Statement:

APPROVED FOR PUBLIC RELEASE