Visualization of wavelet compressed mantle convection data

Benjamin J. Kadlec, Daniel E. Goldstein, David A Yuen, Alexei Vezolainen

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Wavelet compression methodologies promise significant computational and storage cost savings through the benefit of producing results on adapted grids that significantly reduce storage and data manipulation costs. Yet, with these storage methodologies come new challenges in the visualization of temporally adaptive datasets. Wavelet compressed three-dimensional mantle convection simulations are visualized as a challenging case study. We employ adaptive 3D visualization using cache friendly octal tree volume visualization as an effective visualization approach. To explore the localized multi-scale structures in the datasets, the wavelet coefficients are also visualized allowing visualization of energy contained in local physical regions as well as in local wavenumber space. Our technique allows for exploring localized multi-scale structures using multi-resolution visualization from the compressed state of large geophysical simulations.

Original languageEnglish (US)
Pages (from-to)292-298
Number of pages7
JournalPhysics of the Earth and Planetary Interiors
Volume163
Issue number1-4
DOIs
StatePublished - Aug 15 2007

Keywords

  • 3D visualization
  • Mantle convection
  • Volume visualization
  • Wavelets

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