Articles | Volume 17, issue 19
https://doi.org/10.5194/amt-17-5861-2024
https://doi.org/10.5194/amt-17-5861-2024
Research article
 | 
07 Oct 2024
Research article |  | 07 Oct 2024

Local and regional enhancements of CH4, CO, and CO2 inferred from TCCON column measurements

Kavitha Mottungan, Chayan Roychoudhury, Vanessa Brocchi, Benjamin Gaubert, Wenfu Tang, Mohammad Amin Mirrezaei, John McKinnon, Yafang Guo, David W. T. Griffith, Dietrich G. Feist, Isamu Morino, Mahesh K. Sha, Manvendra K. Dubey, Martine De Mazière, Nicholas M. Deutscher, Paul O. Wennberg, Ralf Sussmann, Rigel Kivi, Tae-Young Goo, Voltaire A. Velazco, Wei Wang, and Avelino F. Arellano Jr.

Viewed

Total article views: 1,170 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
928 197 45 1,170 73 38 33
  • HTML: 928
  • PDF: 197
  • XML: 45
  • Total: 1,170
  • Supplement: 73
  • BibTeX: 38
  • EndNote: 33
Views and downloads (calculated since 03 Apr 2024)
Cumulative views and downloads (calculated since 03 Apr 2024)

Viewed (geographical distribution)

Total article views: 1,170 (including HTML, PDF, and XML) Thereof 1,143 with geography defined and 27 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 08 Mar 2025
Download
Short summary
A combination of data analysis techniques is introduced to separate local and regional influences on observed levels of carbon dioxide, carbon monoxide, and methane from an established ground-based remote sensing network. We take advantage of the covariations in these trace gases to identify the dominant type of sources driving these levels. Applying these methods in conjunction with existing approaches to other datasets can better address uncertainties in identifying sources and sinks.
Share