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

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (12 Jul 2019) by Liping Zhou
AR by Dan Amrhein on behalf of the Authors (31 Aug 2019)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (19 Nov 2019) by Denis-Didier Rousseau
RR by Anonymous Referee #3 (25 Nov 2019)
ED: Publish as is (25 Nov 2019) by Denis-Didier Rousseau
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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.