The Temporal Phasing of Rapid Dansgaard–Oeschger Warming Events Cannot Be Reliably Determined

Dansgaard–Oeschger (DO) warming events oc curred throughout the last glacial period. Greenland ice cores show a rapid warming during each stadial to interstadial tran sition, alongside abrupt loss of sea ice and major reorgani sation of the atmospheric circulation. Other records also in di...

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Main Authors: Slattery, John, Sime, Louise C., Muschitiello, Francesco, Riechers, Keno
Format: Text
Language:English
Published: 2023
Subjects:
Online Access:https://doi.org/10.5194/egusphere-2023-2496
https://egusphere.copernicus.org/preprints/2023/egusphere-2023-2496/
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spelling ftcopernicus:oai:publications.copernicus.org:egusphere115655 2024-09-15T18:09:59+00:00 The Temporal Phasing of Rapid Dansgaard–Oeschger Warming Events Cannot Be Reliably Determined Slattery, John Sime, Louise C. Muschitiello, Francesco Riechers, Keno 2023-11-07 application/pdf https://doi.org/10.5194/egusphere-2023-2496 https://egusphere.copernicus.org/preprints/2023/egusphere-2023-2496/ eng eng doi:10.5194/egusphere-2023-2496 https://egusphere.copernicus.org/preprints/2023/egusphere-2023-2496/ eISSN: Text 2023 ftcopernicus https://doi.org/10.5194/egusphere-2023-2496 2024-08-28T05:24:15Z Dansgaard–Oeschger (DO) warming events oc curred throughout the last glacial period. Greenland ice cores show a rapid warming during each stadial to interstadial tran sition, alongside abrupt loss of sea ice and major reorgani sation of the atmospheric circulation. Other records also in dicate simultaneous abrupt changes to the oceanic circula tion. Recently, an advanced Bayesian ramp fitting method has been developed and used to investigate time lags between transitions in these different climate elements, with a view to determining the relative order of these changes. Here, we subject this method to a critical review. Using ice core data, climate model output, and carefully synthesised data repre senting DO warming events, we demonstrate that the method suffers from noise-induced bias of up to 15 years. This bias means that the method will tend to yield transition onsets that are too early, and we find that the estimated timings of nois ier transitions are more strongly biased. Further investigation of DO warming event records in climate models and ice core data reveals that the bias is on the same order of magnitude as potential timing differences between the abrupt transitions of different climate elements. Additionally, we find that higher- resolution records would not reduce this bias. We conclude that time lags of less than 20 years cannot be reliably detected, as we cannot exclude the possibility that they result solely from the bias. This prevents the unambiguous deter mination of the temporal phasing of DO warming events. Text Greenland Greenland ice cores ice core Sea ice Copernicus Publications: E-Journals
institution Open Polar
collection Copernicus Publications: E-Journals
op_collection_id ftcopernicus
language English
description Dansgaard–Oeschger (DO) warming events oc curred throughout the last glacial period. Greenland ice cores show a rapid warming during each stadial to interstadial tran sition, alongside abrupt loss of sea ice and major reorgani sation of the atmospheric circulation. Other records also in dicate simultaneous abrupt changes to the oceanic circula tion. Recently, an advanced Bayesian ramp fitting method has been developed and used to investigate time lags between transitions in these different climate elements, with a view to determining the relative order of these changes. Here, we subject this method to a critical review. Using ice core data, climate model output, and carefully synthesised data repre senting DO warming events, we demonstrate that the method suffers from noise-induced bias of up to 15 years. This bias means that the method will tend to yield transition onsets that are too early, and we find that the estimated timings of nois ier transitions are more strongly biased. Further investigation of DO warming event records in climate models and ice core data reveals that the bias is on the same order of magnitude as potential timing differences between the abrupt transitions of different climate elements. Additionally, we find that higher- resolution records would not reduce this bias. We conclude that time lags of less than 20 years cannot be reliably detected, as we cannot exclude the possibility that they result solely from the bias. This prevents the unambiguous deter mination of the temporal phasing of DO warming events.
format Text
author Slattery, John
Sime, Louise C.
Muschitiello, Francesco
Riechers, Keno
spellingShingle Slattery, John
Sime, Louise C.
Muschitiello, Francesco
Riechers, Keno
The Temporal Phasing of Rapid Dansgaard–Oeschger Warming Events Cannot Be Reliably Determined
author_facet Slattery, John
Sime, Louise C.
Muschitiello, Francesco
Riechers, Keno
author_sort Slattery, John
title The Temporal Phasing of Rapid Dansgaard–Oeschger Warming Events Cannot Be Reliably Determined
title_short The Temporal Phasing of Rapid Dansgaard–Oeschger Warming Events Cannot Be Reliably Determined
title_full The Temporal Phasing of Rapid Dansgaard–Oeschger Warming Events Cannot Be Reliably Determined
title_fullStr The Temporal Phasing of Rapid Dansgaard–Oeschger Warming Events Cannot Be Reliably Determined
title_full_unstemmed The Temporal Phasing of Rapid Dansgaard–Oeschger Warming Events Cannot Be Reliably Determined
title_sort temporal phasing of rapid dansgaard–oeschger warming events cannot be reliably determined
publishDate 2023
url https://doi.org/10.5194/egusphere-2023-2496
https://egusphere.copernicus.org/preprints/2023/egusphere-2023-2496/
genre Greenland
Greenland ice cores
ice core
Sea ice
genre_facet Greenland
Greenland ice cores
ice core
Sea ice
op_source eISSN:
op_relation doi:10.5194/egusphere-2023-2496
https://egusphere.copernicus.org/preprints/2023/egusphere-2023-2496/
op_doi https://doi.org/10.5194/egusphere-2023-2496
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