Articles | Volume 14, issue 10
Research article
08 Oct 2021
Research article |  | 08 Oct 2021

GFIT3: a full physics retrieval algorithm for remote sensing of greenhouse gases in the presence of aerosols

Zhao-Cheng Zeng, Vijay Natraj, Feng Xu, Sihe Chen, Fang-Ying Gong, Thomas J. Pongetti, Keeyoon Sung, Geoffrey Toon, Stanley P. Sander, and Yuk L. Yung


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on amt-2021-84', Anonymous Referee #1, 07 May 2021
  • RC2: 'Comment on amt-2021-84', Anonymous Referee #2, 18 May 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Zhao-Cheng Zeng on behalf of the Authors (13 Jul 2021)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (14 Jul 2021) by Helen Worden
RR by Anonymous Referee #1 (28 Jul 2021)
ED: Publish subject to technical corrections (28 Jul 2021) by Helen Worden

Post-review adjustments

AA: Author's adjustment | EA: Editor approval
AA by Zhao-Cheng Zeng on behalf of the Authors (07 Oct 2021)   Author's adjustment   Manuscript
EA: Adjustments approved (07 Oct 2021) by Helen Worden
Short summary
Large carbon source regions such as megacities are also typically associated with heavy aerosol loading, which introduces uncertainties in the retrieval of greenhouse gases from reflected and scattered sunlight measurements. In this study, we developed a full physics algorithm to retrieve greenhouse gases in the presence of aerosols and demonstrated its performance by retrieving CO2 and CH4 columns from remote sensing measurements in the Los Angeles megacity.