Articles | Volume 8, issue 2
https://doi.org/10.5194/ascmo-8-249-2022
https://doi.org/10.5194/ascmo-8-249-2022
14 Dec 2022
 | 14 Dec 2022

Evaluation of simulated responses to climate forcings: a flexible statistical framework using confirmatory factor analysis and structural equation modelling – Part 2: Numerical experiment

Katarina Lashgari, Anders Moberg, and Gudrun Brattström

Viewed

Total article views: 538 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
409 100 29 538 54 22 21
  • HTML: 409
  • PDF: 100
  • XML: 29
  • Total: 538
  • Supplement: 54
  • BibTeX: 22
  • EndNote: 21
Views and downloads (calculated since 14 Dec 2022)
Cumulative views and downloads (calculated since 14 Dec 2022)

Viewed (geographical distribution)

Total article views: 512 (including HTML, PDF, and XML) Thereof 512 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 26 Jul 2024
Short summary
The performance of a new statistical framework containing various structural equation modelling (SEM) models is evaluated in a pseudo-proxy experiment in comparison with the performance of statistical models used in many detection and attribution studies. Each statistical model was fitted to seven continental-scale regional temperature data sets. The results indicated the SEM specification is the most appropriate for describing the underlying latent structure of the simulated data analysed.