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Model evidence for a seasonal bias in Antarctic ice cores

Authors :
Pedro N. DiNezio
Anthony J. Broccoli
Michel Crucifix
Paul J. Valdes
David W. Lea
M. P. Erb
Charles S. Jackson
UCL - SST/ELI/ELIC - Earth & Climate
Source :
Nature Communications, Vol 9, Iss 1, Pp 1-10 (2018), Nature Communications, Vol. 9, no.1, p. 1361 (2018), Erb, M P, Jackson, C S, Broccoli, A J, Lea, D W, Valdes, P J, Crucifix, M & DiNezio, P N 2018, ' Model evidence for a seasonal bias in Antarctic ice cores ', Nature Communications, vol. 9, 1361 . https://doi.org/10.1038/s41467-018-03800-0, Nature Communications
Publication Year :
2018
Publisher :
Nature Portfolio, 2018.

Abstract

Much of the global annual mean temperature change over Quaternary glacial cycles can be attributed to slow ice sheet and greenhouse gas feedbacks, but analysis of the short-term response to orbital forcings has the potential to reveal key relationships in the climate system. In particular, obliquity and precession both produce highly seasonal temperature responses at high latitudes. Here, idealized single-forcing model experiments are used to quantify Earth’s response to obliquity, precession, CO2, and ice sheets, and a linear reconstruction methodology is used to compare these responses to long proxy records around the globe. This comparison reveals mismatches between the annual mean response to obliquity and precession in models versus the signals within Antarctic ice cores. Weighting the model-based reconstruction toward austral winter or spring reduces these discrepancies, providing evidence for a seasonal bias in ice cores.<br />Periodic changes in the tilt of the Earth’s axis alter the distribution of incoming solar radiation. Here, the authors show that the temperature response to this forcing seemingly differs in models and Antarctic ice cores, with a better agreement reached if ice cores are recording a seasonally weighted signal.

Details

Language :
English
ISSN :
20411723
Volume :
9
Issue :
1
Database :
OpenAIRE
Journal :
Nature Communications
Accession number :
edsair.doi.dedup.....991a4ee3981a56c89f94a925c40897b3
Full Text :
https://doi.org/10.1038/s41467-018-03800-0