Articles | Volume 20, issue 6
https://doi.org/10.5194/cp-20-1415-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/cp-20-1415-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| Highlight paper
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28 Jun 2024
Research article | Highlight paper |
| 28 Jun 2024
| 28 Jun 2024
Continuous synchronization of the Greenland ice-core and U–Th timescales using probabilistic inversion
Francesco Muschitiello
CORRESPONDING AUTHOR
Department of Geography, University of Cambridge, Cambridge CB2 3EN, UK
Centre for Climate Repair, DAMTP, Centre for Mathematical Sciences, Wilberforce Road, Cambridge, CB3 0WA, UK
Marco Antonio Aquino-Lopez
Department of Geography, University of Cambridge, Cambridge CB2 3EN, UK
Related authors
John Slattery, Louise C. Sime, Francesco Muschitiello, and Keno Riechers
Clim. Past, 20, 2431–2454, https://doi.org/10.5194/cp-20-2431-2024, https://doi.org/10.5194/cp-20-2431-2024, 2024
Short summary
Short summary
Dansgaard–Oeschger events are a series of abrupt past climate change events during which the atmosphere, sea ice, and ocean in the North Atlantic underwent rapid changes. One current topic of interest is the order in which these different changes occurred, which remains unknown. In this work, we find that the current best method used to investigate this topic is subject to substantial bias. This implies that it is not possible to reliably determine the order of the different changes.
Francesco Muschitiello
Clim. Past Discuss., https://doi.org/10.5194/cp-2021-116, https://doi.org/10.5194/cp-2021-116, 2021
Preprint withdrawn
Short summary
Short summary
The first continuously measured transfer functions that quantify the age difference between the Greenland Ice-Core Chronology 2005 (GICC05) and the U-Th timescale are presented. The transfer functions were generated using a novel probabilistic algorithm for the synchronization of proxy signals. The results greatly improve the accuracy and precision of previous synchronization estimates and reveal that the annual-layer counting error of GICC05 is less systematic than previously assumed.
John Slattery, Louise C. Sime, Francesco Muschitiello, and Keno Riechers
Clim. Past, 20, 2431–2454, https://doi.org/10.5194/cp-20-2431-2024, https://doi.org/10.5194/cp-20-2431-2024, 2024
Short summary
Short summary
Dansgaard–Oeschger events are a series of abrupt past climate change events during which the atmosphere, sea ice, and ocean in the North Atlantic underwent rapid changes. One current topic of interest is the order in which these different changes occurred, which remains unknown. In this work, we find that the current best method used to investigate this topic is subject to substantial bias. This implies that it is not possible to reliably determine the order of the different changes.
Francesco Muschitiello
Clim. Past Discuss., https://doi.org/10.5194/cp-2021-116, https://doi.org/10.5194/cp-2021-116, 2021
Preprint withdrawn
Short summary
Short summary
The first continuously measured transfer functions that quantify the age difference between the Greenland Ice-Core Chronology 2005 (GICC05) and the U-Th timescale are presented. The transfer functions were generated using a novel probabilistic algorithm for the synchronization of proxy signals. The results greatly improve the accuracy and precision of previous synchronization estimates and reveal that the annual-layer counting error of GICC05 is less systematic than previously assumed.
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Editorial statement
The paper entitled "Continuous synchronization of the Greenland ice-core and U-Th timescales using probabilistic inversion" presents a first and new continuously measured transfer function that quantifies the age difference between the GICC05 and the U-Th timescale during the last ice age. The transfer function was estimated using a new automated algorithm for proxy data alignment. The approach was the subject of much discussion with the various referees who evaluated it, but it is at least described clearly enough for the community to form its own opinion and henceforth use it.
The paper entitled "Continuous synchronization of the Greenland ice-core and U-Th timescales...
Short summary
The first continuously measured transfer functions that quantify the age difference between the Greenland ice-core chronology 2005 (GICC05) and the U–Th timescale are presented. The transfer functions were generated using a novel probabilistic algorithm for the synchronization of proxy signals. The results greatly improve the accuracy and precision of previous synchronization estimates and reveal that the annual-layer counting error of GICC05 is less systematic than previously assumed.
The first continuously measured transfer functions that quantify the age difference between the...
