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Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
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Volume 9, issue 11
Geosci. Model Dev., 9, 3933–3959, 2016
https://doi.org/10.5194/gmd-9-3933-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Geosci. Model Dev., 9, 3933–3959, 2016
https://doi.org/10.5194/gmd-9-3933-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

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: Author's response | RR: Referee report | ED: Editor decision
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
Publications Copernicus
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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.
This paper analyses methods to assimilate chemical measurements in air quality models. We...
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