Articles | Volume 9, issue 8
Geosci. Model Dev., 9, 2893–2908, 2016
https://doi.org/10.5194/gmd-9-2893-2016
Geosci. Model Dev., 9, 2893–2908, 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 et al.

Download

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Anna Wenzel on behalf of the Authors (12 Jul 2016)  Author's response
ED: Publish as is (28 Jul 2016) by Samuel Remy
Download
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.