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-8-187-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/ascmo-8-187-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 8, issue 2
30 Sep 2022
 | 30 Sep 2022

Comparing climate time series – Part 4: Annual cycles

Timothy DelSole and Michael K. Tippett

Viewed

Total article views: 2,397 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,853 417 127 2,397 89 174
  • HTML: 1,853
  • PDF: 417
  • XML: 127
  • Total: 2,397
  • BibTeX: 89
  • EndNote: 174
Views and downloads (calculated since 30 Sep 2022)
Cumulative views and downloads (calculated since 30 Sep 2022)

Viewed (geographical distribution)

Total article views: 2,391 (including HTML, PDF, and XML) Thereof 2,391 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 21 Mar 2026
Download
Short summary
Most climate time series contain annual and diurnal cycles. However, an objective criterion for deciding whether two time series have statistically equivalent annual and diurnal cycles is lacking, particularly if the residual variability is serially correlated. Such a criterion would be helpful in deciding whether a new version of a climate model better simulates such cycles. This paper derives an objective rule for such decisions based on a rigorous statistical framework.
Read more
Share