Articles | Volume 16, issue 16
https://doi.org/10.5194/gmd-16-4715-2023
https://doi.org/10.5194/gmd-16-4715-2023
Methods for assessment of models
 | 
23 Aug 2023
Methods for assessment of models |  | 23 Aug 2023

Climate model Selection by Independence, Performance, and Spread (ClimSIPS v1.0.1) for regional applications

Anna L. Merrifield, Lukas Brunner, Ruth Lorenz, Vincent Humphrey, and Reto Knutti

Viewed

Total article views: 2,106 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,458 596 52 2,106 139 40 41
  • HTML: 1,458
  • PDF: 596
  • XML: 52
  • Total: 2,106
  • Supplement: 139
  • BibTeX: 40
  • EndNote: 41
Views and downloads (calculated since 24 Feb 2023)
Cumulative views and downloads (calculated since 24 Feb 2023)

Viewed (geographical distribution)

Total article views: 2,106 (including HTML, PDF, and XML) Thereof 2,063 with geography defined and 43 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 08 May 2024
Download
Short summary
Using all Coupled Model Intercomparison Project (CMIP) models is unfeasible for many applications. We provide a subselection protocol that balances user needs for model independence, performance, and spread capturing CMIP’s projection uncertainty simultaneously. We show how sets of three to five models selected for European applications map to user priorities. An audit of model independence and its influence on equilibrium climate sensitivity uncertainty in CMIP is also presented.