Estimating biases during detection of leads and lags between climate elements across Dansgaard–Oeschger events

Slattery, John; Sime, Louise C.; Muschitiello, Francesco; Riechers, Keno

doi:https://doi.org/10.5194/cp-20-2431-2024

Articles | Volume 20, issue 11

https://doi.org/10.5194/cp-20-2431-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

Ice core science at the three poles (CP/TC inter-journal SI)

https://doi.org/10.5194/cp-20-2431-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 20, issue 11

Research article

|

05 Nov 2024

Research article |

| 05 Nov 2024

Estimating biases during detection of leads and lags between climate elements across Dansgaard–Oeschger events

John Slattery, Louise C. Sime, Francesco Muschitiello, and Keno Riechers

Data sets

Spontaneous Dansgaard-Oeschger type Oscillations in climate models (SDOO) Irene Malmierca-Vallet and Louise C. Sime https://www.bas.ac.uk/project/sdoo/#data

High resolution aerosol concentration data from the Greenland NorthGRIP and NEEM deep ice cores [dataset bundled publication] Tobias Erhardt, et al. https://doi.org/10.1594/PANGAEA.935838

Model code and software

DO Temporal Phasing Code John Slattery https://doi.org/10.5281/zenodo.14013564

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.