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.
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.
the Creative Commons Attribution 4.0 License.
Research article
| 
16 Apr 2026
Research article |
| 16 Apr 2026
| 16 Apr 2026
Spatio-temporal pattern analysis of MOPITT total column CO using varimax rotation and singular spectrum analysis
John McKinnon
CORRESPONDING AUTHOR
Department of Hydrology and Atmospheric Sciences, University of Arizona, Tucson, AZ, USA
Chayan Roychoudhury
Department of Hydrology and Atmospheric Sciences, University of Arizona, Tucson, AZ, USA
Avelino Arellano Jr.
Department of Hydrology and Atmospheric Sciences, University of Arizona, Tucson, AZ, USA
Benjamin Gaubert
Atmospheric Chemistry Observations & Modeling Laboratory (ACOM), NSF National Center for Atmospheric Research, Boulder (NSF NCAR), CO, USA
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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.
We use a statistical method called Empirical Orthogonal Function (EOF) analysis to analyze...
