The DeepMIP contribution to PMIP4: experimental design for model simulations of the EECO, PETM, and pre-PETM (version 1.0)

Research output: Contribution to journalArticle

Authors

  • Daniel J. Lunt
  • Matthew Huber
  • Eleni Anagnostou
  • Michael L.J. Baatsen
  • Rodrigo Caballero
  • Rob DeConto
  • Henk Dijkstra
  • Yannick Donnadieu
  • David Evans
  • Ran Feng
  • Gavin L. Foster
  • Ed Gasson
  • Anna von der Heydt
  • Chris Hollis
  • Gordon Inglis
  • Jeff Kiehl
  • Sandy Kirtland Turner
  • Robert Korty
  • Reinhardt Kozdon
  • Srinath Krishnan
  • Jean-Baptiste Ladant
  • Petra Langebroek
  • Caroline Lear
  • Allegra LeGrande
  • Kate Littler
  • Paul Markwick
  • Bette Otto-Bliesner
  • Paul Pearson
  • Christopher Poulsen
  • Ulrich Saltzmann
  • Christine Shields
  • Catherine Snell
  • Michael Stärz
  • James Super
  • Clay Tobor
  • Jessica Tierney
  • Gregory Tourte
  • Aradhna Tripati
  • Garland Upchurch
  • Bridget Wade
  • Scott Wing
  • Arne Wignuth
  • Nicky Wright
  • James Zachos
  • Richard Zeebe

Colleges, School and Institutes

External organisations

  • BRISTOL UNIVERSITY
  • Perdue University
  • National Oceanography Centre Southampton
  • Utrecht University
  • Stockholm University
  • University of Massachusetts - Amherst, Amherst, Massachusetts 01003, USA
  • Univ Utrecht
  • CNRS-CEA
  • Univ St Andrews
  • NCAR
  • GNS Science, Lower Hutt, Wellington, New Zealand
  • 29PBSci-Earth & Planetary Sciences Department, Institute of Marine Sciences, University of California, Santa Cruz, USA
  • Department of Earth Sciences, University of California, Riverside, USA
  • Department of Atmospheric Sciences, Texas A&M University, College Station, USA
  • Lamont-Doherty Earth Observatory of Columbia University, Palisades, USA
  • Department of Geology and Geophysics, Yale University, New Haven, USA
  • Laboratoire des Sciences du Climat et de l’Environnement, CNRS/CEA, Gif-sur-Yvette, France
  • Uni Research Climate, Bjerknes Centre for Climate Research, Bergen, Norway
  • Cardiff University
  • NASA-GISS, New York, USA
  • University of Exeter
  • Getech Group plc, Leeds, UK
  • National Centre for Atmospheric Research, Boulder, USA
  • Department of Earth and Environmental Sciences, University of Michigan, Ann Arbor, USA
  • Northumbria University Newcastle
  • Department of Geological Sciences, University of Colorado, Boulder, USA
  • Alfred Wegener Institute, Bremerhaven, Germany
  • Department of Geosciences, University of Arizona, Tucson, USA
  • Earth, Planetary, and Space Sciences, Atmospheric and Oceanic Sciences, Institute of the Environment and Sustainability, University of California, Los Angeles, USA
  • Department of Biology, Texas State University, San Marcos, USA
  • Department of Earth Sciences, University College London, London, UK
  • Department of Paleobiology, Smithsonian Institution, Washington, D.C., USA
  • Earth and Environmental Science, University of Texas, Arlington, USA
  • School of Geosciences, University of Sydney, Sydney, Australia
  • PBSci-Earth & Planetary Sciences Department, Institute of Marine Sciences, University of California, Santa Cruz, USA
  • Department of Oceanography, University of Hawaii at Manoa, USA

Abstract

Past warm periods provide an opportunity to evaluate climate models under extreme forcing scenarios, in particular high ( >800 ppmv) atmospheric CO2 concentrations. Although a post hoc intercomparison of Eocene (50 Ma) climate model simulations and geological data has been carried out previously, models of past high-CO2 periods have never been evaluated in a consistent framework. Here, we present an experimental design for climate model simulations of three warm periods within the early Eocene and the latest Paleocene (the EECO, PETM, and pre-PETM). Together with the CMIP6 pre-industrial control and abrupt 4CO2 simulations, and additional sensitivity studies, these form the first phase of DeepMIP – the Deep-time Model Intercomparison Project, itself a group within the wider Paleoclimate Modelling Intercomparison Project (PMIP). The experimental design specifies and provides guidance on boundary conditions associated with palaeogeography, greenhouse gases, astronomical configuration, solar constant, land surface processes, and aerosols. Initial conditions, simulation length, and output variables are also specified. Finally, we explain how the geological data sets, which will be used to evaluate the simulations, will be developed.

Details

Original languageEnglish
Article numberdoi:10.5194/gmd-10-889-2017
Pages (from-to)889-901
JournalGeoscientific Model Development
Publication statusPublished - 23 Feb 2017