Articles | Volume 20, issue 3
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, Huiying Luo, Marina Astitha, Christian Hogrefe, Valerie Garcia, and Rohit Mathur


Interactive discussion

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
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.
Final-revised paper