Articles | Volume 9, issue 8
https://doi.org/10.5194/gmd-9-2893-2016
https://doi.org/10.5194/gmd-9-2893-2016
Methods for assessment of models
 | 
26 Aug 2016
Methods for assessment of models |  | 26 Aug 2016

EnKF and 4D-Var data assimilation with chemical transport model BASCOE (version 05.06)

Sergey Skachko, Richard Ménard, Quentin Errera, Yves Christophe, and Simon Chabrillat

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AR: Author's response | RR: Referee report | ED: Editor decision
AR by Sergey Skachko on behalf of the Authors (11 Jul 2016)  Manuscript 
ED: Publish as is (28 Jul 2016) by Samuel Remy
AR by Sergey Skachko on behalf of the Authors (29 Jul 2016)  Manuscript 
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Short summary
In the present work, we performed a comparison of two broadly used data assimilation algorithms, 4D-Var and EnKF, applied to a state-of-the-art atmospheric chemistry transport model. The comparison is carried out using carefully calibrated error statistics. The paper discusses the advantages and disadvantages of each method applied to real-life conditions of a numerical atmospheric chemistry data assimilation.