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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ftanucanberra:oai:openresearch-repository.anu.edu.au:1885/69420 2024-01-14T10:02:16+01:00 Automated ice-core layer-counting with strong univariate signals Wheatley, J. J. Blackwell, P. G. Abram, Nerilie McConnell, J. R. Thomas, E. R. Wolff, E. W. http://hdl.handle.net/1885/69420 https://doi.org/10.5194/cp-8-1869-2012 https://openresearch-repository.anu.edu.au/bitstream/1885/69420/5/Automated_ice-core_Wheatley_Abram_etal_2012.pdf.jpg https://openresearch-repository.anu.edu.au/bitstream/1885/69420/7/01_Wheatley_Automated_ice-core_2012.pdf.jpg unknown Copernicus GmbH 1814-9324 http://hdl.handle.net/1885/69420 doi:10.5194/cp-8-1869-2012 https://openresearch-repository.anu.edu.au/bitstream/1885/69420/5/Automated_ice-core_Wheatley_Abram_etal_2012.pdf.jpg https://openresearch-repository.anu.edu.au/bitstream/1885/69420/7/01_Wheatley_Automated_ice-core_2012.pdf.jpg Author/s retain copyright Climate of the Past Keywords: data set geochronology hydrogen peroxide ice core reconstruction signal sulfur Antarctic Peninsula Antarctica West Antarctica Journal article ftanucanberra https://doi.org/10.5194/cp-8-1869-2012 2023-12-15T09:36:46Z 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 Antarctica Greenland Greenland ice core Greenland Ice core Project ice core NGRIP North Greenland North Greenland Ice Core Project West Antarctica Australian National University: ANU Digital Collections Antarctic Antarctic Peninsula West Antarctica Greenland Climate of the Past 8 6 1869 1879 |
institution |
Open Polar |
collection |
Australian National University: ANU Digital Collections |
op_collection_id |
ftanucanberra |
language |
unknown |
topic |
Keywords: data set geochronology hydrogen peroxide ice core reconstruction signal sulfur Antarctic Peninsula Antarctica West Antarctica |
spellingShingle |
Keywords: data set geochronology hydrogen peroxide ice core reconstruction signal sulfur Antarctic Peninsula Antarctica West Antarctica Wheatley, J. J. Blackwell, P. G. Abram, Nerilie McConnell, J. R. Thomas, E. R. Wolff, E. W. Automated ice-core layer-counting with strong univariate signals |
topic_facet |
Keywords: data set geochronology hydrogen peroxide ice core reconstruction signal sulfur Antarctic Peninsula Antarctica West Antarctica |
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, Nerilie McConnell, J. R. Thomas, E. R. Wolff, E. W. |
author_facet |
Wheatley, J. J. Blackwell, P. G. Abram, Nerilie 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 |
url |
http://hdl.handle.net/1885/69420 https://doi.org/10.5194/cp-8-1869-2012 https://openresearch-repository.anu.edu.au/bitstream/1885/69420/5/Automated_ice-core_Wheatley_Abram_etal_2012.pdf.jpg https://openresearch-repository.anu.edu.au/bitstream/1885/69420/7/01_Wheatley_Automated_ice-core_2012.pdf.jpg |
geographic |
Antarctic Antarctic Peninsula West Antarctica Greenland |
geographic_facet |
Antarctic Antarctic Peninsula West Antarctica Greenland |
genre |
Antarc* Antarctic Antarctic Peninsula Antarctica Greenland Greenland ice core Greenland Ice core Project ice core NGRIP North Greenland North Greenland Ice Core Project West Antarctica |
genre_facet |
Antarc* Antarctic Antarctic Peninsula Antarctica Greenland Greenland ice core Greenland Ice core Project ice core NGRIP North Greenland North Greenland Ice Core Project West Antarctica |
op_source |
Climate of the Past |
op_relation |
1814-9324 http://hdl.handle.net/1885/69420 doi:10.5194/cp-8-1869-2012 https://openresearch-repository.anu.edu.au/bitstream/1885/69420/5/Automated_ice-core_Wheatley_Abram_etal_2012.pdf.jpg https://openresearch-repository.anu.edu.au/bitstream/1885/69420/7/01_Wheatley_Automated_ice-core_2012.pdf.jpg |
op_rights |
Author/s retain copyright |
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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1788057183536021504 |