English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

. Many palaeoclimate proxies share one challenging property: theyare not only driven by the climatic variable of interest, e.g. temperature, butthey are also influenced by secondary effects which cause, among other things, increased variability, frequently termed noise. Noise in individual proxy records can be reduced by averaging the records, but the effectiveness of thisapproach depends on the correlation of the noise between the records andtherefore on the spatial scales of the noise-generating processes. Here, wereview and apply this concept in the context of Antarctic ice-core isotoperecords to determine which core locations are best suited to reconstructlocal- to regional-scale temperatures. Using data from a past-millennium climate model simulation equipped with stable isotope diagnostics we intriguingly find that even for a local temperature reconstruction the optimal sampling strategy is to combine a local ice core with a more distant core ∼ 500–1000 kmaway. A similarly large distance between cores is also optimal forreconstructions that average more than two isotope records. We show that these findings result from the interplay of the two spatial scales of the correlation structures associated with the temperature field and with the noise generated by precipitation intermittency. Our study helps to maximize the usability of existing Antarctic ice cores and to optimally plan future drilling campaigns. It also broadens our knowledge of the processes that shape the isotopic record and their typical correlation scales. Finally, many palaeoclimate reconstructionefforts face the similar challenge of spatially correlated noise, and ourpresented method could directly assist further studies in also determiningoptimal sampling strategies for these problems.

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