Advances in Statistical Climatology, Meteorology and Oceanography
Advances in Statistical Climatology, Meteorology and Oceanography
ASCMO
Articles | Volume 3, issue 1
Articles | Volume 3, issue 1
https://doi.org/10.5194/ascmo-3-33-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/ascmo-3-33-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Articles | Volume 3, issue 1
09 Jun 2017
 | 09 Jun 2017

Estimating trends in the global mean temperature record

Andrew Poppick, Elisabeth J. Moyer, and Michael L. Stein

Viewed

Total article views: 3,131 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,896 1,032 203 3,131 403 189 248
  • HTML: 1,896
  • PDF: 1,032
  • XML: 203
  • Total: 3,131
  • Supplement: 403
  • BibTeX: 189
  • EndNote: 248
Views and downloads (calculated since 09 Jun 2017)
Cumulative views and downloads (calculated since 09 Jun 2017)

Viewed (geographical distribution)

Total article views: 3,038 (including HTML, PDF, and XML) Thereof 3,025 with geography defined and 13 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 08 Oct 2025
Download
Short summary
We show that ostensibly empirical methods of analyzing trends in the global mean temperature record, which appear to de-emphasize assumptions, can nevertheless produce misleading inferences about trends and associated uncertainty. We illustrate how a simple but physically motivated trend model can provide better-fitting and more broadly applicable results, and show the importance of adequately characterizing internal variability for estimating trend uncertainty.
Read more
Share