Articles | Volume 15, issue 18
Research article
25 Sep 2015
Research article |  | 25 Sep 2015

The impact of observing characteristics on the ability to predict ozone under varying polluted photochemical regimes

P. D. Hamer, K. W. Bowman, D. K. Henze, J.-L. Attié, and V. Marécal


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 Paul Hamer on behalf of the Authors (29 Jul 2015)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (30 Jul 2015) by William Lahoz (deceased)
RR by Anonymous Referee #1 (18 Aug 2015)
RR by Anonymous Referee #2 (24 Aug 2015)
ED: Publish subject to technical corrections (25 Aug 2015) by William Lahoz (deceased)
AR by Paul Hamer on behalf of the Authors (09 Sep 2015)  Manuscript 
Short summary
Using a simplified air quality forecasting model, we explore how characteristics of air quality observations affect our ability to understand and predict ozone air pollution. We show that the photochemical conditions can strongly influence the observing priorities for ozone prediction, such as which species are observed and how well, when, and how frequently. High-freqency observations of ozone, NOx and HCHO in combination during the morning and afternoon are particularly advantageous.
Final-revised paper