Articles | Volume 17, issue 17
https://doi.org/10.5194/acp-17-10435-2017
https://doi.org/10.5194/acp-17-10435-2017
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, Christian Hogrefe, Augustin Colette, Marta Garcia-Vivanco, and Stefano Galmarini

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Latest update: 20 Nov 2024
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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.
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