Articles | Volume 17, issue 3
https://doi.org/10.5194/cp-17-1315-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/cp-17-1315-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
21 Jun 2021
Research article |
| 21 Jun 2021
| 21 Jun 2021
Optimizing sampling strategies in high-resolution paleoclimate records
Department of Earth Sciences, Utrecht University, Princetonlaan 8a,
3584 CB Utrecht, the Netherlands
AMGC research group, Vrije Universiteit Brussel, Pleinlaan 2, 1050
Brussels, Belgium
Tobias Agterhuis
Department of Earth Sciences, Utrecht University, Princetonlaan 8a,
3584 CB Utrecht, the Netherlands
Martin Ziegler
Department of Earth Sciences, Utrecht University, Princetonlaan 8a,
3584 CB Utrecht, the Netherlands
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Short summary
Climate researchers often need to compromise in their sampling between increasing the number of measurements to obtain higher time resolution and combining measurements to improve the reliability of climate reconstructions. In this study, we test several methods for achieving the optimal balance between these competing interests by simulating seasonality reconstructions using stable and clumped isotopes. Our results inform sampling strategies for climate reconstructions in general.
Climate researchers often need to compromise in their sampling between increasing the number of...
