Inverse stochastic–dynamic models for high-resolution Greenland ice core records
Proxy records from Greenland ice cores have been studied for several decades, yet many open questions remain regarding the climate variability encoded therein. Here, we use a Bayesian framework for inferring inverse, stochastic–dynamic models from δ18O and dust records of unprecedented, subdecadal t...
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ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00007751 2023-05-15T16:26:13+02:00 Inverse stochastic–dynamic models for high-resolution Greenland ice core records Boers, Niklas Chekroun, Mickael D. Liu, Honghu Kondrashov, Dmitri Rousseau, Denis-Didier Svensson, Anders Bigler, Matthias Ghil, Michael 2017-12 electronic https://doi.org/10.5194/esd-8-1171-2017 https://noa.gwlb.de/receive/cop_mods_00007751 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00007708/esd-8-1171-2017.pdf https://esd.copernicus.org/articles/8/1171/2017/esd-8-1171-2017.pdf eng eng Copernicus Publications Earth System Dynamics -- http://www.earth-syst-dynam.net/ -- http://www.bibliothek.uni-regensburg.de/ezeit/?2578793 -- 2190-4987 https://doi.org/10.5194/esd-8-1171-2017 https://noa.gwlb.de/receive/cop_mods_00007751 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00007708/esd-8-1171-2017.pdf https://esd.copernicus.org/articles/8/1171/2017/esd-8-1171-2017.pdf uneingeschränkt info:eu-repo/semantics/openAccess article Verlagsveröffentlichung article Text doc-type:article 2017 ftnonlinearchiv https://doi.org/10.5194/esd-8-1171-2017 2022-02-08T22:58:22Z Proxy records from Greenland ice cores have been studied for several decades, yet many open questions remain regarding the climate variability encoded therein. Here, we use a Bayesian framework for inferring inverse, stochastic–dynamic models from δ18O and dust records of unprecedented, subdecadal temporal resolution. The records stem from the North Greenland Ice Core Project (NGRIP), and we focus on the time interval 59–22 ka b2k. Our model reproduces the dynamical characteristics of both the δ18O and dust proxy records, including the millennial-scale Dansgaard–Oeschger variability, as well as statistical properties such as probability density functions, waiting times and power spectra, with no need for any external forcing. The crucial ingredients for capturing these properties are (i) high-resolution training data, (ii) cubic drift terms, (iii) nonlinear coupling terms between the δ18O and dust time series, and (iv) non-Markovian contributions that represent short-term memory effects. Article in Journal/Newspaper Greenland Greenland ice core Greenland Ice core Project Greenland ice cores ice core NGRIP North Greenland North Greenland Ice Core Project Niedersächsisches Online-Archiv NOA Greenland Earth System Dynamics 8 4 1171 1190 |
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English |
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article Verlagsveröffentlichung |
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article Verlagsveröffentlichung Boers, Niklas Chekroun, Mickael D. Liu, Honghu Kondrashov, Dmitri Rousseau, Denis-Didier Svensson, Anders Bigler, Matthias Ghil, Michael Inverse stochastic–dynamic models for high-resolution Greenland ice core records |
topic_facet |
article Verlagsveröffentlichung |
description |
Proxy records from Greenland ice cores have been studied for several decades, yet many open questions remain regarding the climate variability encoded therein. Here, we use a Bayesian framework for inferring inverse, stochastic–dynamic models from δ18O and dust records of unprecedented, subdecadal temporal resolution. The records stem from the North Greenland Ice Core Project (NGRIP), and we focus on the time interval 59–22 ka b2k. Our model reproduces the dynamical characteristics of both the δ18O and dust proxy records, including the millennial-scale Dansgaard–Oeschger variability, as well as statistical properties such as probability density functions, waiting times and power spectra, with no need for any external forcing. The crucial ingredients for capturing these properties are (i) high-resolution training data, (ii) cubic drift terms, (iii) nonlinear coupling terms between the δ18O and dust time series, and (iv) non-Markovian contributions that represent short-term memory effects. |
format |
Article in Journal/Newspaper |
author |
Boers, Niklas Chekroun, Mickael D. Liu, Honghu Kondrashov, Dmitri Rousseau, Denis-Didier Svensson, Anders Bigler, Matthias Ghil, Michael |
author_facet |
Boers, Niklas Chekroun, Mickael D. Liu, Honghu Kondrashov, Dmitri Rousseau, Denis-Didier Svensson, Anders Bigler, Matthias Ghil, Michael |
author_sort |
Boers, Niklas |
title |
Inverse stochastic–dynamic models for high-resolution Greenland ice core records |
title_short |
Inverse stochastic–dynamic models for high-resolution Greenland ice core records |
title_full |
Inverse stochastic–dynamic models for high-resolution Greenland ice core records |
title_fullStr |
Inverse stochastic–dynamic models for high-resolution Greenland ice core records |
title_full_unstemmed |
Inverse stochastic–dynamic models for high-resolution Greenland ice core records |
title_sort |
inverse stochastic–dynamic models for high-resolution greenland ice core records |
publisher |
Copernicus Publications |
publishDate |
2017 |
url |
https://doi.org/10.5194/esd-8-1171-2017 https://noa.gwlb.de/receive/cop_mods_00007751 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00007708/esd-8-1171-2017.pdf https://esd.copernicus.org/articles/8/1171/2017/esd-8-1171-2017.pdf |
geographic |
Greenland |
geographic_facet |
Greenland |
genre |
Greenland Greenland ice core Greenland Ice core Project Greenland ice cores ice core NGRIP North Greenland North Greenland Ice Core Project |
genre_facet |
Greenland Greenland ice core Greenland Ice core Project Greenland ice cores ice core NGRIP North Greenland North Greenland Ice Core Project |
op_relation |
Earth System Dynamics -- http://www.earth-syst-dynam.net/ -- http://www.bibliothek.uni-regensburg.de/ezeit/?2578793 -- 2190-4987 https://doi.org/10.5194/esd-8-1171-2017 https://noa.gwlb.de/receive/cop_mods_00007751 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00007708/esd-8-1171-2017.pdf https://esd.copernicus.org/articles/8/1171/2017/esd-8-1171-2017.pdf |
op_rights |
uneingeschränkt info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.5194/esd-8-1171-2017 |
container_title |
Earth System Dynamics |
container_volume |
8 |
container_issue |
4 |
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1171 |
op_container_end_page |
1190 |
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1766015101462118400 |