Advances in Statistical Climatology, Meteorology and Oceanography
Advances in Statistical Climatology, Meteorology and Oceanography
ASCMO
Articles | Volume 8, issue 2
Articles | Volume 8, issue 2
https://doi.org/10.5194/ascmo-8-225-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/ascmo-8-225-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 8, issue 2
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 1: Theory

Katarina Lashgari, Gudrun Brattström, Anders Moberg, and Rolf Sundberg

Viewed

Total article views: 981 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
820 119 42 981 52 21 23
  • HTML: 820
  • PDF: 119
  • XML: 42
  • Total: 981
  • Supplement: 52
  • BibTeX: 21
  • EndNote: 23
Views and downloads (calculated since 14 Dec 2022)
Cumulative views and downloads (calculated since 14 Dec 2022)

Viewed (geographical distribution)

Total article views: 966 (including HTML, PDF, and XML) Thereof 966 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 20 Nov 2024
Download
Short summary
This work theoretically motivates an extension of the statistical model used in so-called detection and attribution studies to structural equation modelling. The application of one of the models suggested is exemplified in a small numerical study, whose aim was to check the assumptions typically placed on ensembles of climate model simulations when constructing mean sequences. he result of this study indicated that some ensembles for some regions may not satisfy the assumptions in question.
Read more