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

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.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 1998
Accession Number
ADA537669

Entities

People

  • Arthur J. Mariano
  • Toshio M. Chin

Organizations

  • University of Miami

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Arabian Sea
  • Assimilation
  • Computational Fluid Dynamics
  • Data Analysis
  • Data Sets
  • Gulf Stream
  • Indian Ocean
  • Kalman Filters
  • Oceanography
  • Oceans
  • Sea Surface Temperature
  • Simulations
  • Surface Temperature
  • Topography
  • Trajectories
  • Wind Stress

Fields of Study

  • Environmental science

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers

Technology Areas

  • Space