An automated approach for annual layer counting in ice cores
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 de...
Published in: | Climate of the Past |
---|---|
Main Authors: | , , , , , |
Format: | Text |
Language: | English |
Published: |
2018
|
Subjects: | |
Online Access: | https://doi.org/10.5194/cp-8-1881-2012 https://cp.copernicus.org/articles/8/1881/2012/ |
id |
ftcopernicus:oai:publications.copernicus.org:cp15849 |
---|---|
record_format |
openpolar |
spelling |
ftcopernicus:oai:publications.copernicus.org:cp15849 2023-05-15T16:29:13+02:00 An automated approach for annual layer counting in ice cores Winstrup, M. Svensson, A. M. Rasmussen, S. O. Winther, O. Steig, E. J. Axelrod, A. E. 2018-09-27 application/pdf https://doi.org/10.5194/cp-8-1881-2012 https://cp.copernicus.org/articles/8/1881/2012/ eng eng doi:10.5194/cp-8-1881-2012 https://cp.copernicus.org/articles/8/1881/2012/ eISSN: 1814-9332 Text 2018 ftcopernicus https://doi.org/10.5194/cp-8-1881-2012 2020-07-20T16:25:38Z 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. Text Greenland ice core Copernicus Publications: E-Journals Greenland Climate of the Past 8 6 1881 1895 |
institution |
Open Polar |
collection |
Copernicus Publications: E-Journals |
op_collection_id |
ftcopernicus |
language |
English |
description |
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. |
format |
Text |
author |
Winstrup, M. Svensson, A. M. Rasmussen, S. O. Winther, O. Steig, E. J. Axelrod, A. E. |
spellingShingle |
Winstrup, M. Svensson, A. M. Rasmussen, S. O. Winther, O. Steig, E. J. Axelrod, A. E. An automated approach for annual layer counting in ice cores |
author_facet |
Winstrup, M. Svensson, A. M. Rasmussen, S. O. Winther, O. Steig, E. J. Axelrod, A. E. |
author_sort |
Winstrup, M. |
title |
An automated approach for annual layer counting in ice cores |
title_short |
An automated approach for annual layer counting in ice cores |
title_full |
An automated approach for annual layer counting in ice cores |
title_fullStr |
An automated approach for annual layer counting in ice cores |
title_full_unstemmed |
An automated approach for annual layer counting in ice cores |
title_sort |
automated approach for annual layer counting in ice cores |
publishDate |
2018 |
url |
https://doi.org/10.5194/cp-8-1881-2012 https://cp.copernicus.org/articles/8/1881/2012/ |
geographic |
Greenland |
geographic_facet |
Greenland |
genre |
Greenland ice core |
genre_facet |
Greenland ice core |
op_source |
eISSN: 1814-9332 |
op_relation |
doi:10.5194/cp-8-1881-2012 https://cp.copernicus.org/articles/8/1881/2012/ |
op_doi |
https://doi.org/10.5194/cp-8-1881-2012 |
container_title |
Climate of the Past |
container_volume |
8 |
container_issue |
6 |
container_start_page |
1881 |
op_container_end_page |
1895 |
_version_ |
1766018907277099008 |