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Challenges in quantifying Pliocene terrestrial warming revealed by data-model discord

  • Ulrich Salzmann
  • , Aisling M. Dolan
  • , Alan M. Haywood
  • , Wing Le Chan
  • , Jochen Voss
  • , Daniel J. Hill
  • , Ayako Abe-Ouchi
  • , Bette Otto-Bliesner
  • , Frances J. Bragg
  • , Mark A. Chandler
  • , Camille Contoux
  • , Harry J. Dowsett
  • , Anne Jost
  • , Youichi Kamae
  • , Gerrit Lohmann
  • , Daniel J. Lunt
  • , Steven J. Pickering
  • , Matthew J. Pound
  • , Gilles Ramstein
  • , Nan A. Rosenbloom
  • Linda Sohl, Christian Stepanek, Hiroaki Ueda, Zhongshi Zhang
  • Northumbria University
  • University of Leeds
  • The University of Tokyo
  • British Geological Survey
  • Japan Agency for Marine-Earth Science and Technology
  • National Center for Atmospheric Research
  • University of Bristol
  • NASA Goddard Institute for Space Studies
  • Université Versailles St-Quentin
  • Sorbonne Université
  • United States Geological Survey
  • University of Tsukuba
  • Alfred Wegener Institute - Helmholtz Centre for Polar and Marine Research
  • CAS - Institute of Atmospheric Physics
  • Bjerknes Centre for Climate Research

Research output: Contribution to journalArticlepeer-review

139 Scopus citations

Abstract

Comparing simulations of key warm periods in Earth history with contemporaneous geological proxy data is a useful approach for evaluating the ability of climate models to simulate warm, high-CO 2 climates that are unprecedented in the more recent past. Here we use a global data set of confidence-assessed, proxy-based temperature estimates and biome reconstructions to assess the ability of eight models to simulate warm terrestrial climates of the Pliocene epoch. The Late Pliocene, 3.6-2.6 million years ago, is an accessible geological interval to understand climate processes of a warmer world. We show that model-predicted surface air temperatures reveal a substantial cold bias in the Northern Hemisphere. Particularly strong data-model mismatches in mean annual temperatures (up to 18C) exist in northern Russia. Our model sensitivity tests identify insufficient temporal constraints hampering the accurate configuration of model boundary conditions as an important factor impacting on data-model discrepancies. We conclude that to allow a more robust evaluation of the ability of present climate models to predict warm climates, future Pliocene data-model comparison studies should focus on orbitally defined time slices.

Original languageEnglish
Pages (from-to)969-974
Number of pages6
JournalNature Climate Change
Volume3
Issue number11
DOIs
StatePublished - Nov 2013
Externally publishedYes

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