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

• Published in: Scientific Reports
• Main Authors: 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.
• Format: Article in Journal/Newspaper
• Language: English
• Published: Springer Science and Business Media LLC 2020
• Subjects: Multidisciplinary; Antarctic; Law Dome; Antarc*; ice core; Ice Sheet
• Online Access: http://dx.doi.org/10.1038/s41598-020-74532-9; https://www.nature.com/articles/s41598-020-74532-9.pdf; https://www.nature.com/articles/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.