Advances in Statistical Climatology, Meteorology and Oceanography
Advances in Statistical Climatology, Meteorology and Oceanography
ASCMO
Articles | Volume 6, issue 2
Articles | Volume 6, issue 2
https://doi.org/10.5194/ascmo-6-159-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/ascmo-6-159-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 6, issue 2
12 Oct 2020
 | 12 Oct 2020

Comparing climate time series – Part 1: Univariate test

Timothy DelSole and Michael K. Tippett

Viewed

Total article views: 6,363 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
3,945 2,345 73 6,363 73 104
  • HTML: 3,945
  • PDF: 2,345
  • XML: 73
  • Total: 6,363
  • BibTeX: 73
  • EndNote: 104
Views and downloads (calculated since 12 Oct 2020)
Cumulative views and downloads (calculated since 12 Oct 2020)

Viewed (geographical distribution)

Total article views: 6,109 (including HTML, PDF, and XML) Thereof 6,108 with geography defined and 1 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 08 Nov 2025
Download
Short summary
Scientists often are confronted with the question of whether two time series are statistically distinguishable. This paper proposes a test for answering this question. The basic idea is to fit each time series to a time series model and then test whether the parameters in that model are equal. If a difference is detected, then new ways of visualizing those differences are proposed, including a clustering technique and a method based on optimal initial conditions.
Read more
Share