How precipitation intermittency sets an optimal sampling distance for temperature reconstructions from Antarctic ice cores
Many palaeoclimate proxies share one challenging property: they are not only driven by the climatic variable of interest, e.g. temperature, but they are also influenced by secondary effects which cause, among other things, increased variability, frequently termed noise. Noise in individual proxy rec...
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ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00057582 2023-05-15T13:37:33+02:00 How precipitation intermittency sets an optimal sampling distance for temperature reconstructions from Antarctic ice cores Münch, Thomas Werner, Martin Laepple, Thomas 2021-07 electronic https://doi.org/10.5194/cp-17-1587-2021 https://noa.gwlb.de/receive/cop_mods_00057582 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00057232/cp-17-1587-2021.pdf https://cp.copernicus.org/articles/17/1587/2021/cp-17-1587-2021.pdf eng eng Copernicus Publications Climate of the Past -- http://www.copernicus.org/EGU/cp/cp/published_papers.html -- http://www.bibliothek.uni-regensburg.de/ezeit/?2217985 -- 1814-9332 https://doi.org/10.5194/cp-17-1587-2021 https://noa.gwlb.de/receive/cop_mods_00057582 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00057232/cp-17-1587-2021.pdf https://cp.copernicus.org/articles/17/1587/2021/cp-17-1587-2021.pdf https://creativecommons.org/licenses/by/4.0/ uneingeschränkt info:eu-repo/semantics/openAccess CC-BY article Verlagsveröffentlichung article Text doc-type:article 2021 ftnonlinearchiv https://doi.org/10.5194/cp-17-1587-2021 2022-02-08T22:33:32Z Many palaeoclimate proxies share one challenging property: they are not only driven by the climatic variable of interest, e.g. temperature, but they 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 this approach depends on the correlation of the noise between the records and therefore on the spatial scales of the noise-generating processes. Here, we review and apply this concept in the context of Antarctic ice-core isotope records to determine which core locations are best suited to reconstruct local- 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 km away. A similarly large distance between cores is also optimal for reconstructions 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 reconstruction efforts face the similar challenge of spatially correlated noise, and our presented method could directly assist further studies in also determining optimal sampling strategies for these problems. Article in Journal/Newspaper Antarc* Antarctic ice core Niedersächsisches Online-Archiv NOA Antarctic Climate of the Past 17 4 1587 1605 |
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English |
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article Verlagsveröffentlichung |
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article Verlagsveröffentlichung Münch, Thomas Werner, Martin Laepple, Thomas How precipitation intermittency sets an optimal sampling distance for temperature reconstructions from Antarctic ice cores |
topic_facet |
article Verlagsveröffentlichung |
description |
Many palaeoclimate proxies share one challenging property: they are not only driven by the climatic variable of interest, e.g. temperature, but they 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 this approach depends on the correlation of the noise between the records and therefore on the spatial scales of the noise-generating processes. Here, we review and apply this concept in the context of Antarctic ice-core isotope records to determine which core locations are best suited to reconstruct local- 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 km away. A similarly large distance between cores is also optimal for reconstructions 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 reconstruction efforts face the similar challenge of spatially correlated noise, and our presented method could directly assist further studies in also determining optimal sampling strategies for these problems. |
format |
Article in Journal/Newspaper |
author |
Münch, Thomas Werner, Martin Laepple, Thomas |
author_facet |
Münch, Thomas Werner, Martin Laepple, Thomas |
author_sort |
Münch, Thomas |
title |
How precipitation intermittency sets an optimal sampling distance for temperature reconstructions from Antarctic ice cores |
title_short |
How precipitation intermittency sets an optimal sampling distance for temperature reconstructions from Antarctic ice cores |
title_full |
How precipitation intermittency sets an optimal sampling distance for temperature reconstructions from Antarctic ice cores |
title_fullStr |
How precipitation intermittency sets an optimal sampling distance for temperature reconstructions from Antarctic ice cores |
title_full_unstemmed |
How precipitation intermittency sets an optimal sampling distance for temperature reconstructions from Antarctic ice cores |
title_sort |
how precipitation intermittency sets an optimal sampling distance for temperature reconstructions from antarctic ice cores |
publisher |
Copernicus Publications |
publishDate |
2021 |
url |
https://doi.org/10.5194/cp-17-1587-2021 https://noa.gwlb.de/receive/cop_mods_00057582 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00057232/cp-17-1587-2021.pdf https://cp.copernicus.org/articles/17/1587/2021/cp-17-1587-2021.pdf |
geographic |
Antarctic |
geographic_facet |
Antarctic |
genre |
Antarc* Antarctic ice core |
genre_facet |
Antarc* Antarctic ice core |
op_relation |
Climate of the Past -- http://www.copernicus.org/EGU/cp/cp/published_papers.html -- http://www.bibliothek.uni-regensburg.de/ezeit/?2217985 -- 1814-9332 https://doi.org/10.5194/cp-17-1587-2021 https://noa.gwlb.de/receive/cop_mods_00057582 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00057232/cp-17-1587-2021.pdf https://cp.copernicus.org/articles/17/1587/2021/cp-17-1587-2021.pdf |
op_rights |
https://creativecommons.org/licenses/by/4.0/ uneingeschränkt info:eu-repo/semantics/openAccess |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.5194/cp-17-1587-2021 |
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Climate of the Past |
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17 |
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4 |
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