Articles | Volume 12, issue 7
https://doi.org/10.5194/se-12-1601-2021
https://doi.org/10.5194/se-12-1601-2021
Method article
 | 
19 Jul 2021
Method article |  | 19 Jul 2021

Comparing global seismic tomography models using varimax principal component analysis

Olivier de Viron, Michel Van Camp, Alexia Grabkowiak, and Ana M. G. Ferreira

Viewed

Total article views: 2,115 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,325 729 61 2,115 37 29
  • HTML: 1,325
  • PDF: 729
  • XML: 61
  • Total: 2,115
  • BibTeX: 37
  • EndNote: 29
Views and downloads (calculated since 17 Mar 2021)
Cumulative views and downloads (calculated since 17 Mar 2021)

Viewed (geographical distribution)

Total article views: 2,115 (including HTML, PDF, and XML) Thereof 2,050 with geography defined and 65 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 28 Mar 2024
Download
Short summary
As the travel time of seismic waves depends on the Earth's interior properties, seismic tomography uses it to infer the distribution of velocity anomalies, similarly to what is done in medical tomography. We propose analysing the outputs of those models using varimax principal component analysis, which results in a compressed objective representation of the model, helping analysis and comparison.