Articles | Volume 16, issue 10
https://doi.org/10.5194/acp-16-6263-2016
https://doi.org/10.5194/acp-16-6263-2016
Research article
 | 
24 May 2016
Research article |  | 24 May 2016

Error apportionment for atmospheric chemistry-transport models – a new approach to model evaluation

Efisio Solazzo and Stefano Galmarini

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AR: Author's response | RR: Referee report | ED: Editor decision
AR by Stefano Galmarini on behalf of the Authors (26 Apr 2016)  Manuscript 
ED: Publish subject to technical corrections (29 Apr 2016) by Christian Hogrefe
AR by Stefano Galmarini on behalf of the Authors (04 May 2016)  Manuscript 
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Short summary
A new technique to assess the quality of model results from a regional-scale air quality model is presented. The techniques are based on standard statistical parameters but work on spectral decomposition of model and measurement time series. This allows for the identification of scale-related processes for which the largest divergency between model and observed data is found. The technique is applied to the data collected during the second phase of the AQMEI Initiative.
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