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Model evidence for a seasonal bias in Antarctic ice cores.
Erb, Michael P; Jackson, Charles S; Broccoli, Anthony J; Lea, David W; Valdes, Paul J; Crucifix, Michel; DiNezio, Pedro N.
Afiliação
  • Erb MP; Institute for Geophysics, University of Texas at Austin, Austin, TX, 78758, USA. michael.erb@nau.edu.
  • Jackson CS; Department of Earth Sciences, University of Southern California, Los Angeles, CA, 90089, USA. michael.erb@nau.edu.
  • Broccoli AJ; School of Earth Science and Environmental Sustainability, Northern Arizona University, Flagstaff, AZ, 86011, USA. michael.erb@nau.edu.
  • Lea DW; Institute for Geophysics, University of Texas at Austin, Austin, TX, 78758, USA.
  • Valdes PJ; Department of Environmental Sciences and Institute for Earth, Ocean, and Atmospheric Sciences, Rutgers, The State University of New Jersey, New Brunswick, NJ, 08901, USA.
  • Crucifix M; Department of Earth Science, UC Santa Barbara, Santa Barbara, CA, 93106, USA.
  • DiNezio PN; School of Geographical Sciences, University of Bristol, Bristol, BS8 1SS, UK.
Nat Commun ; 9(1): 1361, 2018 04 10.
Article em En | MEDLINE | ID: mdl-29636470
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.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Nat Commun Assunto da revista: BIOLOGIA / CIENCIA Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Nat Commun Assunto da revista: BIOLOGIA / CIENCIA Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Estados Unidos