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Volume 16, issue 10
Atmos. Chem. Phys., 16, 6263–6283, 2016
https://doi.org/10.5194/acp-16-6263-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

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

Atmos. Chem. Phys., 16, 6263–6283, 2016
https://doi.org/10.5194/acp-16-6263-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

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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Cited articles

Dennis, R., Fox, T., Fuentes, M., Gilliland, A., Hanna, S., Hogrefe, C., Irwin, J., Rao, S. T., Scheffe, R., Schere, K., Steyn, D., and Venkatram, A.: A framework for evaluating regional-scale numerical photochemical modeling systems, Environ. Fluid Mech., 10, 471–489, https://doi.org/10.1007/s10652-009-9163-2, 2010.
Fox, D. G.: Judging air quality model performance, B. Am. Meteorol. Soc., 62, 599–609, 1981.
Galmarini, S., Kioutsioukis, I., and Solazzo, E.: E pluribus unum*: ensemble air quality predictions, Atmos. Chem. Phys., 13, 7153–7182, https://doi.org/10.5194/acp-13-7153-2013, 2013.
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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.
A new technique to assess the quality of model results from a regional-scale air quality model...
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