Analysis and Prediction of Sea Ice Evolution using Koopman Mode Decomposition Techniques

Abstract

Koopman Mode Decomposition (KMD) was applied to satellite data of sea ice concentration and thickness for the northern and southern hemispheres to gain insight into the temporal and spatial dynamics of the sea ice behavior and to predict future sea ice behavior. Primary results were the possible change in sea ice dynamics in the 1990's, based on examination of Koopman eigenvalue distributions; the geographic change in sea ice concentration over time, specifically the reduction in mean sea ice concentration and annual variation off of West Antarctica; and prediction of sea ice concentration several years in the future using Koopman reconstruction techniques.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2018
Accession Number
AD1061587

Entities

People

  • Igor Mezić
  • James Hogg
  • Maria Fonoberova

Tags

DTIC Thesaurus Topics

  • Antarctica
  • Arctic Ocean
  • Artificial Satellites
  • Data Sets
  • Decomposition
  • Dynamics
  • Eigenvalues
  • Geographic Regions
  • Hemispheres
  • North Atlantic Ocean
  • Northern Hemisphere
  • Oceans
  • Pacific Ocean
  • Sea Ice
  • Seasonal Variations
  • Southern Hemisphere
  • Thickness

Fields of Study

  • Environmental science

Readers

  • Atmospheric Remote Sensing.
  • Atmospheric Science / Meteorology, specifically Wind Wave Turbulence.
  • Oceanography.

Technology Areas

  • Space