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Integral correlation for uneven and differently sampled data, and its application to the Law Dome Antarctic climate record
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Roberts, JL, Jong, LM 
ORCID: 0000-0001-6707-570X, McCormack, FS, Curran, MA, Moy, AD, Etheridge, DM, Greenbaum, JS, Young, DA, Phipps, SJ ORCID: 0000-0001-5657-8782, Xue, W, van Ommen, TD ORCID: 0000-0002-2463-1718, Blankenship, DD and Siegert, MJ 2020
, 'Integral correlation for uneven and differently sampled data, and its application to the Law Dome Antarctic climate record'
, Scientific Reports, vol. 10
, pp. 1-10
, doi: 10.1038/s41598-020-74532-9.
ORCID: 0000-0001-6707-570X, McCormack, FS, Curran, MA, Moy, AD, Etheridge, DM, Greenbaum, JS, Young, DA, Phipps, SJ ORCID: 0000-0001-5657-8782, Xue, W, van Ommen, TD ORCID: 0000-0002-2463-1718, Blankenship, DD and Siegert, MJ 2020
, 'Integral correlation for uneven and differently sampled data, and its application to the Law Dome Antarctic climate record'
, Scientific Reports, vol. 10
, pp. 1-10
, doi: 10.1038/s41598-020-74532-9.
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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 Type: | Article |
|---|---|
| Authors/Creators: | 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 |
| Keywords: | integral correlation, uneven data sets, glaciological, ice cores, Law Dome, ice-penetrating radar |
| Journal or Publication Title: | Scientific Reports |
| Publisher: | Nature Publishing Group |
| ISSN: | 2045-2322 |
| DOI / ID Number: | 10.1038/s41598-020-74532-9 |
| Copyright Information: | Licensed under Creative Commons Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/ |
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| Item Statistics: | View statistics for this item |
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