Articles | Volume 9, issue 1
https://doi.org/10.5194/gmd-9-393-2016
https://doi.org/10.5194/gmd-9-393-2016
Model experiment description paper
 | 
29 Jan 2016
Model experiment description paper |  | 29 Jan 2016

A low-order coupled chemistry meteorology model for testing online and offline data assimilation schemes: L95-GRS (v1.0)

J.-M. Haussaire and M. Bocquet

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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Jean-Matthieu Haussaire on behalf of the Authors (12 Nov 2015)  Author's response 
ED: Publish as is (12 Dec 2015) by Adrian Sandu
AR by Jean-Matthieu Haussaire on behalf of the Authors (14 Dec 2015)
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Short summary
The focus is on the development of low-order models of atmospheric transport and chemistry and their use for data assimilation purposes. A new low-order coupled chemistry meteorology model is developed. It consists of the Lorenz40-variable model used as a wind field coupled with a simple ozone photochemistry module. Advanced ensemble variational methods are applied to this model to obtain insights on the use of data assimilation with coupled models, in an offline mode or in an online mode.