Articles | Volume 15, issue 10
Review article
18 May 2015
Review article |  | 18 May 2015

Data assimilation in atmospheric chemistry models: current status and future prospects for coupled chemistry meteorology models

M. Bocquet, H. Elbern, H. Eskes, M. Hirtl, R. Žabkar, G. R. Carmichael, J. Flemming, A. Inness, M. Pagowski, J. L. Pérez Camaño, P. E. Saide, R. San Jose, M. Sofiev, J. Vira, A. Baklanov, C. Carnevale, G. Grell, and C. Seigneur


Interactive discussion

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 Christian Seigneur on behalf of the Authors (12 Mar 2015)  Author's response 
ED: Publish subject to technical corrections (21 Apr 2015) by Bernhard Vogel
AR by Christian Seigneur on behalf of the Authors (30 Apr 2015)  Author's response   Manuscript 
Short summary
Data assimilation is used in atmospheric chemistry models to improve air quality forecasts, construct re-analyses of concentrations, and perform inverse modeling. Coupled chemistry meteorology models (CCMM) are atmospheric chemistry models that simulate meteorological processes and chemical transformations jointly. We review here the current status of data assimilation in atmospheric chemistry models, with a particular focus on future prospects for data assimilation in CCMM.
Final-revised paper