Articles | Volume 22, issue 2
https://doi.org/10.5194/acp-22-951-2022
https://doi.org/10.5194/acp-22-951-2022
Research article
 | 
20 Jan 2022
Research article |  | 20 Jan 2022

Data assimilation of CrIS NH3 satellite observations for improving spatiotemporal NH3 distributions in LOTOS-EUROS

Shelley van der Graaf, Enrico Dammers, Arjo Segers, Richard Kranenburg, Martijn Schaap, Mark W. Shephard, and Jan Willem Erisman

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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-2021-473', Anonymous Referee #1, 11 Aug 2021
  • RC2: 'Comment on acp-2021-473', Anonymous Referee #2, 13 Aug 2021
  • AC1: 'Comment on acp-2021-473', Shelley C. van der Graaf, 10 Oct 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Shelley C. van der Graaf on behalf of the Authors (10 Oct 2021)  Author's response   Author's tracked changes   Manuscript 
ED: Publish subject to minor revisions (review by editor) (11 Oct 2021) by Joshua Fu
AR by Shelley C. van der Graaf on behalf of the Authors (11 Oct 2021)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (29 Nov 2021) by Joshua Fu
AR by Shelley C. van der Graaf on behalf of the Authors (02 Dec 2021)
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Short summary
CrIS NH3 satellite observations are assimilated into the LOTOS-EUROS model using two different methods. In the first method the data are used to fit spatially varying NH3 emission time factors. In the second method a local ensemble transform Kalman filter is used. Compared to in situ observations, combining both methods led to the most significant improvements in the modeled concentrations and deposition, illustrating the usefulness of CrIS NH3 to improve the spatiotemporal distribution of NH3.
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