Articles | Volume 14, issue 5
Geosci. Model Dev., 14, 2659–2689, 2021
https://doi.org/10.5194/gmd-14-2659-2021

Special issue: Chemistry–Climate Modelling Initiative (CCMI) (ACP/AMT/ESSD/GMD...

Geosci. Model Dev., 14, 2659–2689, 2021
https://doi.org/10.5194/gmd-14-2659-2021

Methods for assessment of models 12 May 2021

Methods for assessment of models | 12 May 2021

Interpol-IAGOS: a new method for assessing long-term chemistry–climate simulations in the UTLS based on IAGOS data, and its application to the MOCAGE CCMI REF-C1SD simulation

Yann Cohen et al.

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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 Yann Cohen on behalf of the Authors (15 Feb 2021)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (21 Feb 2021) by Juan Antonio Añel
RR by Anonymous Referee #2 (07 Mar 2021)
RR by Anonymous Referee #1 (08 Mar 2021)
ED: Publish subject to minor revisions (review by editor) (22 Mar 2021) by Juan Antonio Añel
AR by Yann Cohen on behalf of the Authors (30 Mar 2021)  Author's response    Manuscript
ED: Publish as is (03 Apr 2021) by Juan Antonio Añel
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Short summary
Assessing long-term chemistry–climate simulations with in situ and frequent observations near the tropopause is possible with the IAGOS commercial aircraft data set. This study presents a method that distributes the IAGOS data (ozone and CO) on a monthly model grid, limiting the impact of resolution for the evaluation of the modelled chemical fields. We applied it to the CCMI REF-C1SD simulation from the MOCAGE CTM and notably highlighted well-reproduced O3 behaviour in the lower stratosphere.