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| Titel |
Automated ice-core layer-counting with strong univariate signals |
| VerfasserIn |
J. J. Wheatley, P. G. Blackwell, N. J. Abram, J. R. McConnell, E. R. Thomas, E. W. Wolff |
| 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 (2012-11-22), S.1869-1879 |
| Datensatznummer |
250005974
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| Publikation (Nr.) |
 copernicus.org/cp-8-1869-2012.pdf |
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| Zusammenfassung |
| We present an automated process for determining the annual layer chronology
of an ice-core with a strong annual signal, utilising the hydrogen peroxide
record from an Antarctic Peninsula ice-core as a test signal on which to
count annual cycles and explain the methods. The signal is de-trended and
normalised before being split into sections with a deterministic cycle count
and those that need more attention. Possible reconstructions for the
uncertain sections are determined which could be used as a visual aid for
manual counting, and a simple method for assigning probability measures to
each reconstruction is discussed. The robustness of this process is explored
by applying it to versions of two different chemistry signals from the same
stretch of the NGRIP (North Greenland Ice Core Project) ice-core, which shows more variation in annual layer
thickness, with and without thinning to mimic poorer quality data. An adapted
version of these methods is applied to the more challenging non-sea-salt
sulphur signal from the same Antarctic Peninsula core from which the hydrogen
peroxide signal was taken. These methods could readily be adapted for use on
much longer datasets, thereby reducing manual effort and providing a robust
automated layer-counting methodology. |
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