Automated ice-core layer-counting with strong univariate signals
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 n...
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Language: | English |
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Online Access: | https://doi.org/10.5194/cp-8-1869-2012 https://cp.copernicus.org/articles/8/1869/2012/ |
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fttriple:oai:gotriple.eu:Cx_iNz8KAa4YGScvUWjMa 2023-05-15T14:02:27+02:00 Automated ice-core layer-counting with strong univariate signals Wheatley, J. J. Blackwell, P. G. Abram, N. J. McConnell, J. R. Thomas, E. R. Wolff, E. W. 2018-09-27 https://doi.org/10.5194/cp-8-1869-2012 https://cp.copernicus.org/articles/8/1869/2012/ en eng Copernicus Publications doi:10.5194/cp-8-1869-2012 10670/1.wnh56p 1814-9324 1814-9332 https://cp.copernicus.org/articles/8/1869/2012/ undefined Geographica Helvetica - geography eISSN: 1814-9332 geo envir Text https://vocabularies.coar-repositories.org/resource_types/c_18cf/ Journal Article https://vocabularies.coar-repositories.org/resource_types/c_6501/ 2018 fttriple https://doi.org/10.5194/cp-8-1869-2012 2023-01-22T17:39:25Z 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. Article in Journal/Newspaper Antarc* Antarctic Antarctic Peninsula Greenland Greenland ice core Greenland Ice core Project ice core NGRIP North Greenland North Greenland Ice Core Project Unknown Antarctic Antarctic Peninsula Greenland Climate of the Past 8 6 1869 1879 |
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geo envir |
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geo envir Wheatley, J. J. Blackwell, P. G. Abram, N. J. McConnell, J. R. Thomas, E. R. Wolff, E. W. Automated ice-core layer-counting with strong univariate signals |
topic_facet |
geo envir |
description |
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. |
format |
Article in Journal/Newspaper |
author |
Wheatley, J. J. Blackwell, P. G. Abram, N. J. McConnell, J. R. Thomas, E. R. Wolff, E. W. |
author_facet |
Wheatley, J. J. Blackwell, P. G. Abram, N. J. McConnell, J. R. Thomas, E. R. Wolff, E. W. |
author_sort |
Wheatley, J. J. |
title |
Automated ice-core layer-counting with strong univariate signals |
title_short |
Automated ice-core layer-counting with strong univariate signals |
title_full |
Automated ice-core layer-counting with strong univariate signals |
title_fullStr |
Automated ice-core layer-counting with strong univariate signals |
title_full_unstemmed |
Automated ice-core layer-counting with strong univariate signals |
title_sort |
automated ice-core layer-counting with strong univariate signals |
publisher |
Copernicus Publications |
publishDate |
2018 |
url |
https://doi.org/10.5194/cp-8-1869-2012 https://cp.copernicus.org/articles/8/1869/2012/ |
geographic |
Antarctic Antarctic Peninsula Greenland |
geographic_facet |
Antarctic Antarctic Peninsula Greenland |
genre |
Antarc* Antarctic Antarctic Peninsula Greenland Greenland ice core Greenland Ice core Project ice core NGRIP North Greenland North Greenland Ice Core Project |
genre_facet |
Antarc* Antarctic Antarctic Peninsula Greenland Greenland ice core Greenland Ice core Project ice core NGRIP North Greenland North Greenland Ice Core Project |
op_source |
Geographica Helvetica - geography eISSN: 1814-9332 |
op_relation |
doi:10.5194/cp-8-1869-2012 10670/1.wnh56p 1814-9324 1814-9332 https://cp.copernicus.org/articles/8/1869/2012/ |
op_rights |
undefined |
op_doi |
https://doi.org/10.5194/cp-8-1869-2012 |
container_title |
Climate of the Past |
container_volume |
8 |
container_issue |
6 |
container_start_page |
1869 |
op_container_end_page |
1879 |
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1766272730510917632 |