Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 16, issue 10
Articles | Volume 16, issue 10
https://doi.org/10.5194/amt-16-2601-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-16-2601-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 10
Research article
 | 
30 May 2023
Research article |  | 30 May 2023

Inferring the vertical distribution of CO and CO2 from TCCON total column values using the TARDISS algorithm

Harrison A. Parker, Joshua L. Laughner, Geoffrey C. Toon, Debra Wunch, Coleen M. Roehl, Laura T. Iraci, James R. Podolske, Kathryn McKain, Bianca C. Baier, and Paul O. Wennberg

Viewed

Total article views: 1,716 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,189 420 107 1,716 148 94 92
  • HTML: 1,189
  • PDF: 420
  • XML: 107
  • Total: 1,716
  • Supplement: 148
  • BibTeX: 94
  • EndNote: 92
Views and downloads (calculated since 07 Dec 2022)
Cumulative views and downloads (calculated since 07 Dec 2022)

Viewed (geographical distribution)

Total article views: 1,716 (including HTML, PDF, and XML) Thereof 1,742 with geography defined and -26 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 14 Jan 2025
Download
Short summary
We describe a retrieval algorithm for determining limited information about the vertical distribution of carbon monoxide (CO) and carbon dioxide (CO2) from total column observations from ground-based observations. Our retrieved partial column values compare well with integrated in situ data. The average error for our retrieval is 1.51 ppb (~ 2 %) for CO and 5.09 ppm (~ 1.25 %) for CO2. We anticipate that this approach will find broad application for use in carbon cycle science.
Read more