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| Titel |
An automated approach for annual layer counting in ice cores |
| VerfasserIn |
M. Winstrup, A. M. Svensson, S. O. Rasmussen, O. Winther, E. J. Steig, A. E. Axelrod |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1814-9324
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| Digitales Dokument |
URL |
| Erschienen |
In: Climate of the Past ; 8, no. 6 ; Nr. 8, no. 6 (2012-11-23), S.1881-1895 |
| Datensatznummer |
250005975
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| Publikation (Nr.) |
 copernicus.org/cp-8-1881-2012.pdf |
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| Zusammenfassung |
| A novel method for automated annual layer counting in seasonally-resolved
paleoclimate records has been developed. It relies on algorithms from the
statistical framework of hidden Markov models (HMMs), which originally was
developed for use in machine speech recognition. The strength of the layer
detection algorithm lies in the way it is able to imitate the manual
procedures for annual layer counting, while being based on statistical
criteria for annual layer identification. The most likely positions of
multiple layer boundaries in a section of ice core data are determined
simultaneously, and a probabilistic uncertainty estimate of the resulting
layer count is provided, ensuring an objective treatment of ambiguous layers
in the data. Furthermore, multiple data series can be incorporated and used
simultaneously. In this study, the automated layer counting algorithm has
been applied to two ice core records from Greenland: one displaying a
distinct annual signal and one which is more challenging. The algorithm
shows high skill in reproducing the results from manual layer counts, and
the resulting timescale compares well to absolute-dated volcanic marker
horizons where these exist. |
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