Articles | Volume 3, issue 2
https://doi.org/10.5194/ascmo-3-93-2017
https://doi.org/10.5194/ascmo-3-93-2017
26 Oct 2017
 | 26 Oct 2017

Probabilistic evaluation of competing climate models

Amy Braverman, Snigdhansu Chatterjee, Megan Heyman, and Noel Cressie

Viewed

Total article views: 1,430 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
797 536 97 1,430 88 91
  • HTML: 797
  • PDF: 536
  • XML: 97
  • Total: 1,430
  • BibTeX: 88
  • EndNote: 91
Views and downloads (calculated since 26 Oct 2017)
Cumulative views and downloads (calculated since 26 Oct 2017)

Viewed (geographical distribution)

Total article views: 1,360 (including HTML, PDF, and XML) Thereof 1,353 with geography defined and 7 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 28 Mar 2024
Download

The requested paper has a corresponding corrigendum published. Please read the corrigendum first before downloading the article.

Short summary
In this paper, we introduce a method for expressing the agreement between climate model output time series and time series of observational data as a probability value. Our metric is an estimate of the probability that one would obtain two time series as similar as the ones under consideration, if the climate model and the observed series actually shared the same underlying climate signal.