Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 19, issue 7
Articles | Volume 19, issue 7
https://doi.org/10.5194/amt-19-2529-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-19-2529-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 19, issue 7
Research article
 | 
16 Apr 2026
Research article |  | 16 Apr 2026

Spatio-temporal pattern analysis of MOPITT total column CO using varimax rotation and singular spectrum analysis

John McKinnon, Chayan Roychoudhury, Avelino Arellano Jr., and Benjamin Gaubert

Viewed

Total article views: 4,003 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
3,283 579 141 4,003 145 229
  • HTML: 3,283
  • PDF: 579
  • XML: 141
  • Total: 4,003
  • BibTeX: 145
  • EndNote: 229
Views and downloads (calculated since 06 Jan 2025)
Cumulative views and downloads (calculated since 06 Jan 2025)

Viewed (geographical distribution)

Total article views: 4,003 (including HTML, PDF, and XML) Thereof 3,849 with geography defined and 154 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 10 Sep 2026
Download
Short summary
We use a statistical method called Empirical Orthogonal Function (EOF) analysis to analyze complex data, focusing on its strengths and limitations. This method is widely used in climate research, but its use in atmospheric chemistry is relatively new.  While EOF analysis can be powerful, it may not be suitable for datasets that do not follow specific statistical assumptions. Our research provides recommendations to improve how we use this technique in analyzing atmospheric chemistry data.
Read more
Share