Type |
Article |
Date |
2020-04 |
Language |
English |
Author(s) |
Hagen Cedric J1, Reilly Brendan T1, Stoner Joseph S1, Creveling Jessica R1 |
Affiliation(s) |
1 : College of Earth, Ocean, and Atmospheric Sciences, Oregon State University, Corvallis, OR 97330, USA |
Source |
Geophysical Journal International (0956-540X) (Oxford University Press (OUP)), 2020-04 , Vol. 221 , N. 1 , P. 706-721 |
DOI |
10.1093/gji/ggaa004 |
WOS© Times Cited |
2 |
Keyword(s) |
Atlantic Ocean, Magnetostratigraphy, Palaeomagnetic secular variation, Palaeomagnetism, Statistical methods |
Abstract |
We present and make publicly available a dynamic programming algorithm to simultaneously align the inclination and declination vector directions of sedimentary paleomagnetic secular variation data.This algorithmgenerates a library of possible alignments through the systematic variation of assumptions about the relative accumulation rate and shared temporal overlap of two or more time-series. The paleomagnetist can then evaluate this library of reproducible and objective alignments using available geologic constraints, statistical methods, and expert knowledge.We apply the algorithm to align previously (visually) correlated medium to high accumulation rate northern North Atlantic Holocene deposits (101– 102 cm/ka) with strong radiocarbon control. The algorithm generates plausible alignments that largely conform with radiocarbon and magnetic acquisition process uncertainty. These alignments illustrate the strengths and limitations of this numerical approach. |
Full Text |
File |
Pages |
Size |
Access |
Publisher's official version |
39 |
9 MB |
Open access |
Supplementary data |
1 |
441 KB |
Open access |
|