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: 6,035 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
3,971 1,863 201 6,035 155 161
  • HTML: 3,971
  • PDF: 1,863
  • XML: 201
  • Total: 6,035
  • BibTeX: 155
  • EndNote: 161
Views and downloads (calculated since 21 Dec 2016)
Cumulative views and downloads (calculated since 21 Dec 2016)

Viewed (geographical distribution)

Total article views: 6,035 (including HTML, PDF, and XML) Thereof 5,595 with geography defined and 440 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 29 Nov 2023
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.