Articles | Volume 3, issue 1
https://doi.org/10.5194/ascmo-3-33-2017
https://doi.org/10.5194/ascmo-3-33-2017
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: 2,646 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,612 840 194 2,646 376 154 172
  • HTML: 1,612
  • PDF: 840
  • XML: 194
  • Total: 2,646
  • Supplement: 376
  • BibTeX: 154
  • EndNote: 172
Views and downloads (calculated since 09 Jun 2017)
Cumulative views and downloads (calculated since 09 Jun 2017)

Viewed (geographical distribution)

Total article views: 2,549 (including HTML, PDF, and XML) Thereof 2,536 with geography defined and 13 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 22 Feb 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.
Share