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: 2,303 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,370 779 154 2,303 342 120 140
  • HTML: 1,370
  • PDF: 779
  • XML: 154
  • Total: 2,303
  • Supplement: 342
  • BibTeX: 120
  • EndNote: 140
Views and downloads (calculated since 09 Jun 2017)
Cumulative views and downloads (calculated since 09 Jun 2017)

Viewed (geographical distribution)

Total article views: 2,210 (including HTML, PDF, and XML) Thereof 2,197 with geography defined and 13 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 18 Apr 2024
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.