Articles | Volume 8, issue 1
https://doi.org/10.5194/ascmo-8-97-2022
https://doi.org/10.5194/ascmo-8-97-2022
16 May 2022
 | 16 May 2022

Comparing climate time series – Part 3: Discriminant analysis

Timothy DelSole and Michael K. Tippett

Viewed

Total article views: 1,161 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
881 222 58 1,161 56 56
  • HTML: 881
  • PDF: 222
  • XML: 58
  • Total: 1,161
  • BibTeX: 56
  • EndNote: 56
Views and downloads (calculated since 16 May 2022)
Cumulative views and downloads (calculated since 16 May 2022)

Viewed (geographical distribution)

Total article views: 1,129 (including HTML, PDF, and XML) Thereof 1,129 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 06 Mar 2025
Short summary
A common problem in climate studies is to decide whether a climate model is realistic. Such decisions are not straightforward because the time series are serially correlated and multivariate. Part II derived a test for deciding wether a simulation is statistically distinguishable from observations. However, the test itself provides no information about the nature of those differences. This paper develops a systematic and optimal approach to diagnosing differences between stochastic processes.
Share