Articles | Volume 22, issue 24
https://doi.org/10.5194/acp-22-15981-2022
https://doi.org/10.5194/acp-22-15981-2022
Research article
 | 
20 Dec 2022
Research article |  | 20 Dec 2022

Inferring and evaluating satellite-based constraints on NOx emissions estimates in air quality simulations

James D. East, Barron H. Henderson, Sergey L. Napelenok, Shannon N. Koplitz, Golam Sarwar, Robert Gilliam, Allen Lenzen, Daniel Q. Tong, R. Bradley Pierce, and Fernando Garcia-Menendez

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on acp-2022-435', Anonymous Referee #1, 27 Aug 2022
  • RC2: 'Comment on acp-2022-435', Anonymous Referee #2, 21 Sep 2022
  • AC1: 'Responses to referee comments', Fernando Garcia-Menendez, 28 Oct 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Fernando Garcia-Menendez on behalf of the Authors (28 Oct 2022)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (06 Nov 2022) by Qiang Zhang
RR by Anonymous Referee #2 (07 Nov 2022)
ED: Publish subject to technical corrections (09 Nov 2022) by Qiang Zhang
AR by Fernando Garcia-Menendez on behalf of the Authors (18 Nov 2022)  Author's response    Manuscript
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Short summary
We present a framework that uses a computer model of air quality, along with air pollution data from satellite instruments, to estimate emissions of nitrogen oxides (NOx) across the Northern Hemisphere. The framework, which advances current methods to infer emissions from satellite observations, provides observationally constrained NOx estimates, including in regions of the world where emissions are highly uncertain, and can improve simulations of air pollutants relevant for health and policy.
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