Articles | Volume 9, issue 11
Geosci. Model Dev., 9, 3933–3959, 2016
https://doi.org/10.5194/gmd-9-3933-2016
Geosci. Model Dev., 9, 3933–3959, 2016
https://doi.org/10.5194/gmd-9-3933-2016

Model experiment description paper 08 Nov 2016

Model experiment description paper | 08 Nov 2016

Accounting for model error in air quality forecasts: an application of 4DEnVar to the assimilation of atmospheric composition using QG-Chem 1.0

Emanuele Emili et al.

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AR by Emanuele Emili on behalf of the Authors (15 Sep 2016)  Author's response    Manuscript
ED: Publish as is (10 Oct 2016) by Samuel Remy
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Short summary
This paper analyses methods to assimilate chemical measurements in air quality models. We developed a reduced-order atmospheric chemistry model, which was used to compare results from different assimilation algorithms. Using an ensemble variational method (4DEnVar), we exploited the dynamical information provided by hourly measurements of chemical concentrations to diagnose model biases and improve next-day forecasts for several species of interest for air quality.