Articles | Volume 14, issue 5
https://doi.org/10.5194/gmd-14-2659-2021
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, Virginie Marécal, Béatrice Josse, and Valérie Thouret

Viewed

Total article views: 2,567 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,920 590 57 2,567 47 37
  • HTML: 1,920
  • PDF: 590
  • XML: 57
  • Total: 2,567
  • BibTeX: 47
  • EndNote: 37
Views and downloads (calculated since 13 Oct 2020)
Cumulative views and downloads (calculated since 13 Oct 2020)

Viewed (geographical distribution)

Total article views: 2,567 (including HTML, PDF, and XML) Thereof 2,404 with geography defined and 163 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 13 Dec 2024
Download
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.