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

Cited articles

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Amrhein, D. E., Gebbie, G., Marchal, O., and Wunsch, C.: Inferring surface water equilibrium calcite δ18O during the last deglacial period from benthic foraminiferal records: Implications for ocean circulation, Paleoceanography, 30, 1470–1489, 2015. a
Amrhein, D. E., Wunsch, C., Marchal, O., and Forget, G.: A Global Glacial Ocean State Estimate Constrained by Upper-Ocean Temperature Proxies, J. Climate, 31, 8059–8079, 2018. a
Anchukaitis, K. J. and Tierney, J. E.: Identifying coherent spatiotemporal modes in time-uncertain proxy paleoclimate records, Clim. Dynam., 41, 1291–1306, https://doi.org/10.1007/s00382-012-1483-0, 2013. a
Andersen, K. K., Azuma, N., Barnola, J.-M. M., Bigler, M., Biscaye, P., Caillon, N., Chappellaz, J., Clausen, H. B., Dahl-Jensen, D., Fischer, H., and Others: High-resolution record of Northern Hemisphere climate extending into the last interglacial period, Nature, 431, 147, https://doi.org/10.1038/nature02805, 2004. a
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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.