Articles | Volume 16, issue 1
Clim. Past, 16, 325–340, 2020
https://doi.org/10.5194/cp-16-325-2020

Special issue: Paleoclimate data synthesis and analysis of associated uncertainty...

Clim. Past, 16, 325–340, 2020
https://doi.org/10.5194/cp-16-325-2020

Research article 17 Feb 2020

Research article | 17 Feb 2020

How large are temporal representativeness errors in paleoclimatology?

Daniel E. Amrhein

Viewed

Total article views: 2,097 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,560 516 21 2,097 32 27
  • HTML: 1,560
  • PDF: 516
  • XML: 21
  • Total: 2,097
  • BibTeX: 32
  • EndNote: 27
Views and downloads (calculated since 11 Feb 2019)
Cumulative views and downloads (calculated since 11 Feb 2019)

Viewed (geographical distribution)

Total article views: 1,729 (including HTML, PDF, and XML) Thereof 1,717 with geography defined and 12 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 20 Oct 2021
Download
Short summary
Usefully combining models and data to learn about past climates relies in part on translating observed paleoclimate quantities into the discrete time and space of climate models. This work addresses errors that can arise in translation when time offsets, smoothing, or averaging is different in data and models. These errors depend on sampling timescales, which are important to report in proxy metadata, and can be large relative to the climate signals of interest.