Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 9, issue 11
Articles | Volume 9, issue 11
https://doi.org/10.5194/gmd-9-3933-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-9-3933-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Articles | Volume 9, issue 11
Model experiment description paper
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08 Nov 2016
Model experiment description paper | Highlight 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, Selime Gürol, and Daniel Cariolle

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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.
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