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

Jason L. Roberts; Lenneke M. Jong; Felicity S. McCormack; Mark A. Curran; Andrew D. Moy; David M. Etheridge; Jamin S. Greenbaum; Duncan A. Young; Steven J. Phipps; Wenyue Xue; Tas D. van Ommen; Donald D. Blankenship; Martin J. Siegert

doi:10.1038/s41598-020-74532-9

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

Jason L. Roberts
, Lenneke M. Jong
, Felicity S. McCormack
, Mark A. Curran
, Andrew D. Moy
, David M. Etheridge
, Jamin S. Greenbaum
, Duncan A. Young
, Steven J. Phipps
, Wenyue Xue
, Tas D. van Ommen
, Donald D. Blankenship
, Martin J. Siegert

School of Earth Atmosphere and Environment

Research output: Contribution to journal › Article › Research › peer-review

8 Citations (Scopus)

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.

Original language	English
Article number	17477
Number of pages	10
Journal	Scientific Reports
Volume	10
Issue number	1
DOIs	https://doi.org/10.1038/s41598-020-74532-9
Publication status	Published - 15 Oct 2020

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Roberts, J. L., Jong, L. M., McCormack, F. S., Curran, M. A., Moy, A. D., Etheridge, D. M., Greenbaum, J. S., Young, D. A., Phipps, S. J., Xue, W., van Ommen, T. D., Blankenship, D. D., & Siegert, M. J. (2020). Integral correlation for uneven and differently sampled data, and its application to the Law Dome Antarctic climate record. Scientific Reports, 10(1), Article 17477. https://doi.org/10.1038/s41598-020-74532-9

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

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.",

author = "Roberts, \{Jason L.\} and Jong, \{Lenneke M.\} and McCormack, \{Felicity S.\} and Curran, \{Mark A.\} and Moy, \{Andrew D.\} and Etheridge, \{David M.\} and Greenbaum, \{Jamin S.\} and Young, \{Duncan A.\} and Phipps, \{Steven J.\} and Wenyue Xue and \{van Ommen\}, \{Tas D.\} and Blankenship, \{Donald D.\} and Siegert, \{Martin J.\}",

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doi = "10.1038/s41598-020-74532-9",

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Roberts, JL, Jong, LM, McCormack, FS, Curran, MA, Moy, AD, Etheridge, DM, Greenbaum, JS, Young, DA, Phipps, SJ, Xue, W, van Ommen, TD, Blankenship, DD & 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, no. 1, 17477. https://doi.org/10.1038/s41598-020-74532-9

TY - JOUR

T1 - Integral correlation for uneven and differently sampled data, and its application to the Law Dome Antarctic climate record

AU - Roberts, Jason L.

AU - Jong, Lenneke M.

AU - McCormack, Felicity S.

AU - Curran, Mark A.

AU - Moy, Andrew D.

AU - Etheridge, David M.

AU - Greenbaum, Jamin S.

AU - Young, Duncan A.

AU - Phipps, Steven J.

AU - Xue, Wenyue

AU - van Ommen, Tas D.

AU - Blankenship, Donald D.

AU - Siegert, Martin J.

PY - 2020/10/15

Y1 - 2020/10/15

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/85092569263

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DO - 10.1038/s41598-020-74532-9

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VL - 10

JO - Scientific Reports

JF - Scientific Reports

IS - 1

M1 - 17477

ER -

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

Abstract

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