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

Cohen, Yann; Marécal, Virginie; Josse, Béatrice; Thouret, Valérie

doi:https://doi.org/10.5194/gmd-14-2659-2021

Articles | Volume 14, issue 5

https://doi.org/10.5194/gmd-14-2659-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

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

https://doi.org/10.5194/gmd-14-2659-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 14, issue 5

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, Virginie Marécal, Béatrice Josse, and Valérie Thouret

Data sets

IAGOS-DM-MOCAGE Yann Cohen, Virginie Marécal, Béatrice Josse, Valérie Thouret https://doi.org/10.25326/80

IAGOS Time series U. Bundke, H. Smit, B. Sauvage, C. Gerbig, M. Hermann, F. Berkes, P. Nédélec, M. Gallagher, H. Ziereis, D. Boulanger, V. Thouret, and A. Petzold https://doi.org/10.25326/06

Global-scale atmosphere monitoring by in-service aircraft -- current achievements and future prospects of the European Research Infrastructure IAGOS (https://doi.org/10.25326/20)) A. Petzold, V. Thouret, C. Gerbig, A. Zahn, C. Brenninkmeijer, M. Gallagher, M. Hermann, M. Pontaud, H. Ziereis, D. Boulanger, J. Marshall, P. N{\'{e}}d{\'{e}}lec, H. Smit, U. Friess, J.-M. Flaud, A. Wahner, J.-P. Cammas, and A. Volz-Thomas https://doi.org/10.3402/tellusb.v67.28452

Model code and software

Interpol-IAGOS Yann Cohen, Virginie Marécal, Béatrice Josse, Valérie Thouret https://doi.org/10.25326/81

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.