Articles | Volume 20, issue 16
https://doi.org/10.5194/acp-20-9961-2020
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, Paul J. Young, J. Scott Hosking, Jean-François Lamarque, N. Luke Abraham, Hideharu Akiyoshi, Alexander T. Archibald, Slimane Bekki, Makoto Deushi, Patrick Jöckel, Douglas Kinnison, Ole Kirner, Markus Kunze, Marion Marchand, David A. Plummer, David Saint-Martin, Kengo Sudo, Simone Tilmes, and Yousuke Yamashita

Viewed

Total article views: 5,403 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
4,437 909 57 5,403 72 55
  • HTML: 4,437
  • PDF: 909
  • XML: 57
  • Total: 5,403
  • BibTeX: 72
  • EndNote: 55
Views and downloads (calculated since 03 Feb 2020)
Cumulative views and downloads (calculated since 03 Feb 2020)

Viewed (geographical distribution)

Total article views: 5,403 (including HTML, PDF, and XML) Thereof 5,225 with geography defined and 178 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 19 Apr 2024
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