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...
Published in: | Climate of the Past |
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Copernicus GmbH (Copernicus Publications)
2012
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Online Access: | http://eprints.esc.cam.ac.uk/2850/ http://eprints.esc.cam.ac.uk/2850/1/cp-8-1869-2012.pdf http://www.clim-past.net/8/1869/2012/cp-8-1869-2012.html https://doi.org/10.5194/cp-8-1869-2012 |
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ftucambridgeesc:oai:eprints.esc.cam.ac.uk:2850 2023-05-15T13:55:44+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. 2012-07 text http://eprints.esc.cam.ac.uk/2850/ http://eprints.esc.cam.ac.uk/2850/1/cp-8-1869-2012.pdf http://www.clim-past.net/8/1869/2012/cp-8-1869-2012.html https://doi.org/10.5194/cp-8-1869-2012 en eng Copernicus GmbH (Copernicus Publications) http://eprints.esc.cam.ac.uk/2850/1/cp-8-1869-2012.pdf Wheatley, J.J. and Blackwell, P. G. and Abram, N. J. and McConnell, J.R. and Thomas, E.R. and Wolff, E. W. (2012) Automated ice-core layer-counting with strong univariate signals. Climate of the past, 8. pp. 1869-1879. ISSN 1814-9340 DOI https://doi.org/10.5194/cp-8-1869-2012 <https://doi.org/10.5194/cp-8-1869-2012> cc_by CC-BY 01 - Climate Change and Earth-Ocean Atmosphere Systems Article PeerReviewed 2012 ftucambridgeesc https://doi.org/10.5194/cp-8-1869-2012 2020-08-27T18:09:27Z 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 University of Cambridge, Department of Earth Sciences: ESC Publications Antarctic Antarctic Peninsula Greenland Climate of the Past 8 6 1869 1879 |
institution |
Open Polar |
collection |
University of Cambridge, Department of Earth Sciences: ESC Publications |
op_collection_id |
ftucambridgeesc |
language |
English |
topic |
01 - Climate Change and Earth-Ocean Atmosphere Systems |
spellingShingle |
01 - Climate Change and Earth-Ocean Atmosphere Systems 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 |
01 - Climate Change and Earth-Ocean Atmosphere Systems |
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 GmbH (Copernicus Publications) |
publishDate |
2012 |
url |
http://eprints.esc.cam.ac.uk/2850/ http://eprints.esc.cam.ac.uk/2850/1/cp-8-1869-2012.pdf http://www.clim-past.net/8/1869/2012/cp-8-1869-2012.html https://doi.org/10.5194/cp-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_relation |
http://eprints.esc.cam.ac.uk/2850/1/cp-8-1869-2012.pdf Wheatley, J.J. and Blackwell, P. G. and Abram, N. J. and McConnell, J.R. and Thomas, E.R. and Wolff, E. W. (2012) Automated ice-core layer-counting with strong univariate signals. Climate of the past, 8. pp. 1869-1879. ISSN 1814-9340 DOI https://doi.org/10.5194/cp-8-1869-2012 <https://doi.org/10.5194/cp-8-1869-2012> |
op_rights |
cc_by |
op_rightsnorm |
CC-BY |
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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1766262568554332160 |