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


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on amt-2022-322', Anonymous Referee #1, 14 Jan 2023
    • AC1: 'Reply on RC1', Harrison Parker, 15 Mar 2023
  • RC2: 'Comment on amt-2022-322', Anonymous Referee #2, 22 Jan 2023
    • AC2: 'Reply on RC2', Harrison Parker, 15 Mar 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Harrison Parker on behalf of the Authors (15 Mar 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (17 Mar 2023) by Thomas von Clarmann
RR by Anonymous Referee #1 (20 Apr 2023)
ED: Publish subject to technical corrections (21 Apr 2023) by Thomas von Clarmann
AR by Harrison Parker on behalf of the Authors (28 Apr 2023)  Author's response   Manuscript 
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.