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Atmospheric Chemistry and Physics An interactive open-access journal of the European Geosciences Union
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ACP | Articles | Volume 20, issue 3
Atmos. Chem. Phys., 20, 1627–1639, 2020
https://doi.org/10.5194/acp-20-1627-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Atmos. Chem. Phys., 20, 1627–1639, 2020
https://doi.org/10.5194/acp-20-1627-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 10 Feb 2020

Research article | 10 Feb 2020

On the limit to the accuracy of regional-scale air quality models

S. Trivikrama Rao et al.

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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Christian Hogrefe on behalf of the Authors (21 Nov 2019)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (25 Nov 2019) by Leiming Zhang
RR by Anonymous Referee #1 (16 Dec 2019)
ED: Reconsider after major revisions (16 Dec 2019) by Leiming Zhang
AR by Christian Hogrefe on behalf of the Authors (27 Dec 2019)  Author's response    Manuscript
ED: Publish as is (10 Jan 2020) by Leiming Zhang
Publications Copernicus
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Short summary
Since numerical air quality models do not explicitly simulate stochastic variations in the atmosphere, there will always be differences between modeled and measured pollutant levels even when the model's physics, chemistry, numerical analysis, and its input data are perfect. This paper quantifies the inherent uncertainty in regional models due to the stochastic nature of the atmosphere. A knowledge of the expected error helps model developers in evaluating the real progress in improving models.
Since numerical air quality models do not explicitly simulate stochastic variations in the...
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