Articles | Volume 22, issue 10
Atmos. Chem. Phys., 22, 6595–6624, 2022
https://doi.org/10.5194/acp-22-6595-2022
Atmos. Chem. Phys., 22, 6595–6624, 2022
https://doi.org/10.5194/acp-22-6595-2022
Research article
20 May 2022
Research article | 20 May 2022

An ensemble-variational inversion system for the estimation of ammonia emissions using CrIS satellite ammonia retrievals

Michael Sitwell et al.

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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-2021-549', Anonymous Referee #2, 29 Sep 2021
    • AC1: 'Reply on RC1', Michael Sitwell, 14 Oct 2021
  • RC2: 'Comment on acp-2021-549', Anonymous Referee #1, 15 Nov 2021
    • AC2: 'Reply on RC2', Michael Sitwell, 10 Jan 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Michael Sitwell on behalf of the Authors (10 Jan 2022)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (23 Jan 2022) by Chul Han Song
RR by Anonymous Referee #2 (14 Feb 2022)
RR by Anonymous Referee #1 (08 Mar 2022)
ED: Publish subject to minor revisions (review by editor) (11 Mar 2022) by Chul Han Song
AR by Michael Sitwell on behalf of the Authors (21 Mar 2022)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (04 Apr 2022) by Chul Han Song
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Short summary
Observations of ammonia made using the satellite-borne CrIS instrument were used to improve the ammonia emissions used in the GEM-MACH model. These observations were used to refine estimates of the monthly mean ammonia emissions over North America for May to August 2016. The updated ammonia emissions reduced biases of GEM-MACH surface ammonia fields with surface observations and showed some improvements in the forecasting of species involved in inorganic particulate matter formation.
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