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Integral correlation for uneven and differently sampled data, and its application to the Law Dome Antarctic climate record

Citation

Roberts, JL and Jong, LM and McCormack, FS and Curran, MA and Moy, AD and Etheridge, DM and Greenbaum, JS and Young, DA and Phipps, SJ and Xue, W and van Ommen, TD and Blankenship, DD and Siegert, MJ, Integral correlation for uneven and differently sampled data, and its application to the Law Dome Antarctic climate record, Scientific Reports, 10 Article 17477. ISSN 2045-2322 (2020) [Refereed Article]


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Copyright Statement

Licensed under Creative Commons Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/

DOI: doi:10.1038/s41598-020-74532-9

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.

Item Details

Item Type:Refereed Article
Keywords:integral correlation, uneven data sets, glaciological, ice cores, Law Dome, ice-penetrating radar
Research Division:Earth Sciences
Research Group:Climate change science
Research Field:Climate change processes
Objective Division:Environmental Policy, Climate Change and Natural Hazards
Objective Group:Understanding climate change
Objective Field:Understanding climate change not elsewhere classified
UTAS Author:Roberts, JL (Dr Jason Roberts)
UTAS Author:Jong, LM (Dr Lenneke Jong)
UTAS Author:Curran, MA (Dr Mark Curran)
UTAS Author:Moy, AD (Dr Andrew Moy)
UTAS Author:Phipps, SJ (Dr Steven Phipps)
UTAS Author:Xue, W (Ms Wenyue Xue)
UTAS Author:van Ommen, TD (Dr Tas van Ommen)
ID Code:141361
Year Published:2020
Web of Science® Times Cited:1
Deposited By:Oceans and Cryosphere
Deposited On:2020-10-16
Last Modified:2021-04-28
Downloads:3 View Download Statistics

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