Articles | Volume 17, issue 17
Atmos. Chem. Phys., 17, 10435–10465, 2017

Special issue: Global and regional assessment of intercontinental transport...

Atmos. Chem. Phys., 17, 10435–10465, 2017

Research article 07 Sep 2017

Research article | 07 Sep 2017

Advanced error diagnostics of the CMAQ and Chimere modelling systems within the AQMEII3 model evaluation framework

Efisio Solazzo et al.


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 Efisio Solazzo on behalf of the Authors (07 Jul 2017)  Author's response    Manuscript
ED: Publish as is (29 Jul 2017) by Bruce Rolstad Denby
Short summary
The work here is conducted within the frame of AQMEII3 and promotes the use of diagnostic methods for the evaluation of air quality models. We highlight the need to move away from aggregated error metrics and to focus on the quality of the information that can be extracted from the model and the observation. This aids the understanding of the causes of model error, providing more useful information to model developers and users than can be gained from common evaluations.
Final-revised paper