Integral correlation for uneven and differently sampled data, and its application to the Law Dome Antarctic climate record.
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Published version
Author(s)
Type
Journal Article
Abstract
We present a new simple and efficient method for correlation of unevenly and differently sampled data. This new method overcomes problems with other methods for correlation with non-uniform sampling and is an easy modification to existing correlation based codes. To demonstrate the usefulness of this new method to real-world examples, we apply the method with good success to two glaciological examples to map the ages from a well-dated ice core to a nearby core, and by tracing isochronous layers within the ice sheet measured from ice-penetrating radar between the two ice core sites.
Date Issued
2020-10-15
Date Acceptance
2020-10-03
Citation
Scientific Reports, 2020, 10 (1), pp.17477-17477
ISSN
2045-2322
Publisher
Nature Publishing Group
Start Page
17477
End Page
17477
Journal / Book Title
Scientific Reports
Volume
10
Issue
1
Copyright Statement
© The Author(s) 2020. Tis article is licensed under a Creative Commons Attribution 4.0 International
License, which permits use, sharing, adaptation, distribution and reproduction in any medium or
format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the
Creative Commons licence, and indicate if changes were made. Te images or other third party material in this
article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the
material. If material is not included in the article’s Creative Commons licence and your intended use is not
permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from
the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
License, which permits use, sharing, adaptation, distribution and reproduction in any medium or
format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the
Creative Commons licence, and indicate if changes were made. Te images or other third party material in this
article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the
material. If material is not included in the article’s Creative Commons licence and your intended use is not
permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from
the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
License URL
Sponsor
British Council (UK)
Identifier
https://www.ncbi.nlm.nih.gov/pubmed/33060793
PII: 10.1038/s41598-020-74532-9
Grant Number
ICECAP-2
Publication Status
Published
Coverage Spatial
England
Date Publish Online
2020-10-15