Articles | Volume 10, issue 6
https://doi.org/10.5194/gmd-10-2379-2017
https://doi.org/10.5194/gmd-10-2379-2017
Methods for assessment of models
 | 
28 Jun 2017
Methods for assessment of models |  | 28 Jun 2017

Skill and independence weighting for multi-model assessments

Benjamin M. Sanderson, Michael Wehner, and Reto Knutti

Viewed

Total article views: 7,248 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
4,946 2,073 229 7,248 205 189
  • HTML: 4,946
  • PDF: 2,073
  • XML: 229
  • Total: 7,248
  • BibTeX: 205
  • EndNote: 189
Views and downloads (calculated since 21 Dec 2016)
Cumulative views and downloads (calculated since 21 Dec 2016)

Viewed (geographical distribution)

Total article views: 7,248 (including HTML, PDF, and XML) Thereof 6,773 with geography defined and 475 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 13 Jul 2024
Download
Short summary
How should climate model simulations be combined to produce an overall assessment that reflects both their performance and their interdependencies? This paper presents a strategy for weighting climate model output such that models that are replicated or models that perform poorly in a chosen set of metrics are appropriately weighted. We perform sensitivity tests to show how the method results depend on variables and parameter values.