A Satellite Based Ocean Forecasting System to Support Naval Operations in Crisis Situations

Abstract

We employ a nonlinear ocean forecasting technique based on a combination of genetic algorithms and empirical orthogonal function (EOF) analysis. The method is used to forecast the space-time variability of the sea surface temperature (SST) of the ocean area around the Island of Elba. The genetic algorithm identifies the equations that best describe the behaviour of the different temporal amplitude functions in the EOF decomposition and therefore, enables global forecasting of future time-variability.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 2000
Accession Number
AD1113794

Entities

People

  • Alberto Alvarez
  • Alejandro Orfila
  • Jurgen Sellschopp

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Artificial Satellites
  • Autonomous Underwater Vehicles
  • Contingency Operations (Military)
  • Data Sets
  • Genetic Algorithms
  • Nato
  • Naval Operations
  • Naval Warfare
  • Oceans
  • Sea Surface Temperature
  • Stratified Fluids
  • Surface Temperature
  • Topography
  • Tyrrhenian Sea
  • Warfare

Fields of Study

  • Environmental science

Readers

  • Acoustical Oceanography.
  • Computational Modeling and Simulation
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms
  • Biotechnology
  • Space