Articles | Volume 20, issue 16
Atmos. Chem. Phys., 20, 9961–9977, 2020
https://doi.org/10.5194/acp-20-9961-2020

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

Atmos. Chem. Phys., 20, 9961–9977, 2020
https://doi.org/10.5194/acp-20-9961-2020

Research article 26 Aug 2020

Research article | 26 Aug 2020

Projecting ozone hole recovery using an ensemble of chemistry–climate models weighted by model performance and independence

Matt Amos et al.

Viewed

Total article views: 2,440 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,954 457 29 2,440 34 31
  • HTML: 1,954
  • PDF: 457
  • XML: 29
  • Total: 2,440
  • BibTeX: 34
  • EndNote: 31
Views and downloads (calculated since 03 Feb 2020)
Cumulative views and downloads (calculated since 03 Feb 2020)

Viewed (geographical distribution)

Total article views: 2,310 (including HTML, PDF, and XML) Thereof 2,268 with geography defined and 42 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 23 Sep 2021
Download
Short summary
We present an updated projection of Antarctic ozone hole recovery using an ensemble of chemistry–climate models. To do so, we employ a method, more advanced and skilful than the current multi-model mean standard, which is applicable to other ensemble analyses. It calculates the performance and similarity of the models, which we then use to weight the model. Calculating model similarity allows us to account for models which are constructed from similar components.
Altmetrics
Final-revised paper
Preprint