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

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 thi...

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Autores principales: Roberts, Jason L., Jong, Lenneke M., McCormack, Felicity S., Curran, Mark A., Moy, Andrew D., Etheridge, David M., Greenbaum, Jamin S., Young, Duncan A., Phipps, Steven J., Xue, Wenyue, van Ommen, Tas D., Blankenship, Donald D., Siegert, Martin J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7562957/
https://www.ncbi.nlm.nih.gov/pubmed/33060793
http://dx.doi.org/10.1038/s41598-020-74532-9
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author Roberts, Jason L.
Jong, Lenneke M.
McCormack, Felicity S.
Curran, Mark A.
Moy, Andrew D.
Etheridge, David M.
Greenbaum, Jamin S.
Young, Duncan A.
Phipps, Steven J.
Xue, Wenyue
van Ommen, Tas D.
Blankenship, Donald D.
Siegert, Martin J.
author_facet Roberts, Jason L.
Jong, Lenneke M.
McCormack, Felicity S.
Curran, Mark A.
Moy, Andrew D.
Etheridge, David M.
Greenbaum, Jamin S.
Young, Duncan A.
Phipps, Steven J.
Xue, Wenyue
van Ommen, Tas D.
Blankenship, Donald D.
Siegert, Martin J.
author_sort Roberts, Jason L.
collection PubMed
description 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.
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spelling pubmed-75629572020-10-19 Integral correlation for uneven and differently sampled data, and its application to the Law Dome Antarctic climate record Roberts, Jason L. Jong, Lenneke M. McCormack, Felicity S. Curran, Mark A. Moy, Andrew D. Etheridge, David M. Greenbaum, Jamin S. Young, Duncan A. Phipps, Steven J. Xue, Wenyue van Ommen, Tas D. Blankenship, Donald D. Siegert, Martin J. Sci Rep Article 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. Nature Publishing Group UK 2020-10-15 /pmc/articles/PMC7562957/ /pubmed/33060793 http://dx.doi.org/10.1038/s41598-020-74532-9 Text en © Crown 2020 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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. The 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/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Roberts, Jason L.
Jong, Lenneke M.
McCormack, Felicity S.
Curran, Mark A.
Moy, Andrew D.
Etheridge, David M.
Greenbaum, Jamin S.
Young, Duncan A.
Phipps, Steven J.
Xue, Wenyue
van Ommen, Tas D.
Blankenship, Donald D.
Siegert, Martin J.
Integral correlation for uneven and differently sampled data, and its application to the Law Dome Antarctic climate record
title Integral correlation for uneven and differently sampled data, and its application to the Law Dome Antarctic climate record
title_full Integral correlation for uneven and differently sampled data, and its application to the Law Dome Antarctic climate record
title_fullStr Integral correlation for uneven and differently sampled data, and its application to the Law Dome Antarctic climate record
title_full_unstemmed Integral correlation for uneven and differently sampled data, and its application to the Law Dome Antarctic climate record
title_short Integral correlation for uneven and differently sampled data, and its application to the Law Dome Antarctic climate record
title_sort integral correlation for uneven and differently sampled data, and its application to the law dome antarctic climate record
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7562957/
https://www.ncbi.nlm.nih.gov/pubmed/33060793
http://dx.doi.org/10.1038/s41598-020-74532-9
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