Articles | Volume 20, issue 24
Atmos. Chem. Phys., 20, 16055–16087, 2020
https://doi.org/10.5194/acp-20-16055-2020
Atmos. Chem. Phys., 20, 16055–16087, 2020
https://doi.org/10.5194/acp-20-16055-2020

Research article 23 Dec 2020

Research article | 23 Dec 2020

Modeling atmospheric ammonia using agricultural emissions with improved spatial variability and temporal dynamics

Xinrui Ge et al.

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Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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AR: Author's response | RR: Referee report | ED: Editor decision
AR by Xinrui Ge on behalf of the Authors (17 Sep 2020)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (30 Sep 2020) by Jayanarayanan Kuttippurath
RR by Anonymous Referee #1 (08 Oct 2020)
ED: Publish subject to minor revisions (review by editor) (11 Oct 2020) by Jayanarayanan Kuttippurath
AR by Xinrui Ge on behalf of the Authors (22 Oct 2020)  Author's response    Manuscript
ED: Publish as is (23 Oct 2020) by Jayanarayanan Kuttippurath
AR by Xinrui Ge on behalf of the Authors (03 Nov 2020)  Author's response    Manuscript
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Short summary
This article is about improving the modeling of agricultural ammonia emissions. By considering land use, meteorology and agricultural practices, ammonia emission totals officially reported by countries are distributed in space and time. We illustrated the first step for a better understanding of the variability of ammonia emission, with the possibility of being applied at a European scale, which is of great significance for ammonia budget research and future policy-making.
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