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Model evidence for a seasonal bias in Antarctic ice cores

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Listed:
  • Michael P. Erb

    (University of Texas at Austin
    University of Southern California
    Northern Arizona University)

  • 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)

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.

Suggested Citation

  • Michael P. Erb & Charles S. Jackson & Anthony J. Broccoli & David W. Lea & Paul J. Valdes & Michel Crucifix & Pedro N. DiNezio, 2018. "Model evidence for a seasonal bias in Antarctic ice cores," Nature Communications, Nature, vol. 9(1), pages 1-10, December.
  • Handle: RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-018-03800-0
    DOI: 10.1038/s41467-018-03800-0
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