Model evidence for a seasonal bias in Antarctic ice cores

Michael P. Erb (), Charles S. Jackson, Anthony J. Broccoli, David W. Lea, Paul J. Valdes, Michel Crucifix and Pedro N. DiNezio
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Michael P. Erb: University of Texas at Austin
Charles S. Jackson: University of Texas at Austin
Anthony J. Broccoli: Ocean, and Atmospheric Sciences, Rutgers, The State University of New Jersey
David W. Lea: UC Santa Barbara
Paul J. Valdes: School of Geographical Sciences, University of Bristol
Michel Crucifix: Université catholique de Louvain
Pedro N. DiNezio: University of Texas at Austin

Nature Communications, 2018, vol. 9, issue 1, 1-10

Abstract: 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.

Date: 2018
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DOI: 10.1038/s41467-018-03800-0

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