Articles | Volume 22, issue 22
Research article
16 Nov 2022
Research article |  | 16 Nov 2022

Towards sector-based attribution using intra-city variations in satellite-based emission ratios between CO2 and CO

Dien Wu, Junjie Liu, Paul O. Wennberg, Paul I. Palmer, Robert R. Nelson, Matthäus Kiel, and Annmarie Eldering


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on acp-2021-1029', Anonymous Referee #1, 15 Feb 2022
    • AC1: 'Reply on RC1', Dien Wu, 01 Jul 2022
  • RC2: 'Comment on acp-2021-1029', Julia Marshall, 24 Apr 2022
    • AC2: 'Reply on RC2', Dien Wu, 01 Jul 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Dien Wu on behalf of the Authors (01 Jul 2022)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (01 Jul 2022) by Jason West
RR by Stijn Dellaert (19 Jul 2022)
ED: Publish as is (18 Sep 2022) by Jason West

Post-review adjustments

AA: Author's adjustment | EA: Editor approval
AA by Dien Wu on behalf of the Authors (07 Nov 2022)   Author's adjustment   Manuscript
EA: Adjustments approved (13 Nov 2022) by Jason West
Short summary
Prior studies have derived the combustion efficiency for a region/city using observed CO2 and CO. We further zoomed into the urban domain and accounted for factors affecting the calculation of spatially resolved combustion efficiency from two satellites. The intra-city variability in combustion efficiency was linked to heavy industry within Shanghai and LA without relying on emission inventories. Such an approach can be applied when analyzing data from future geostationary satellites.
Final-revised paper