Articles | Volume 17, issue 4
https://doi.org/10.5194/cp-17-1587-2021
https://doi.org/10.5194/cp-17-1587-2021
Research article
 | 
29 Jul 2021
Research article |  | 29 Jul 2021

How precipitation intermittency sets an optimal sampling distance for temperature reconstructions from Antarctic ice cores

Thomas Münch, Martin Werner, and Thomas Laepple

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ED: Publish subject to minor revisions (review by editor) (08 Mar 2021) by Nerilie Abram
AR by Thomas Münch on behalf of the Authors (21 Apr 2021)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (29 Jun 2021) by Nerilie Abram
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Short summary
We analyse Holocene climate model simulation data to find the locations of Antarctic ice cores which are best suited to reconstruct local- to regional-scale temperatures. We find that the spatial decorrelation scales of the temperature variations and of the noise from precipitation intermittency set an effective sampling length scale. Following this, a single core should be located at the target site for the temperature reconstruction, and a second one optimally lies more than 500 km away.