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

Abstract

One of the primary research goals at the Rosenstiel School is real-time forecasting of both Lagrangian trajectories and Eulerian fields associated with such physical parameters as velocity, temperature, salinity, and density profiles. The five major components of this effort are (i) HYCOM the HYbrid Coordinate Ocean Model, (ii) data from Lagrangian drifters and satellite-derived sea surface temperature and height fields, (iii) a reduced-order information filter with a Gauss-Markov Random Field (GMRF) model for spatial covariances, (iv) a nonlinear particle dynamical model for Lagrangian trajectory prediction, and (v) feature-based parameter estimation and assimilation techniques.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2001
Accession Number
ADA628121

Entities

People

  • Arthur J. Mariano
  • Toshio M. Chin

Organizations

  • Rosenstiel School of Marine, Atmospheric, and Earth Science

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Satellites
  • Assimilation
  • Covariance
  • Data Mining
  • Data Science
  • High Resolution
  • Information Science
  • Kalman Filters
  • Oceanography
  • Oceans
  • Particles
  • Sea Surface Temperature
  • Statistical Analysis
  • Statistics
  • Surface Temperature
  • Trajectories

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Coastal Oceanography
  • Oceanography.

Technology Areas

  • Space