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

Dan Lunt, Matthew Huber, Eleni Anagnostou, Michiel Baatsen, Rodrigo Caballero, Rob DeConto, Henk Dijkstra, Yannick Donnadieu, David Evans, Ran Feng, Gavin Foster, Ed Gasson, Anna von der Heydt, Christopher J. Hollis, Gordon Inglis, Stephen Jones, Jeff Kiehl, Sandy Kirtland Turner, Robert Korty, Reinhardt KozdonSrinath Krishnan, Jean-Baptiste Ladant, Petra Langebroek, Caroline Lear, Allegra LeGrande, Kate Littler, Paul Markwick, Bette Otto-Bliesner, Paul Pearson, Christopher Poulsen, Ulrich Salzmann, Christine Shields, Kathryn Snell, Michael Starz, James Super, Clay Tabor, Jess Tierney, Gregory J. L. Tourte, Aradhna Tripati, Gary Upchurch, Bridget Wade, Scott Wing, Arne Winguth, Nicky Wright, James Zachos, Richard Zeebe

Research output: Contribution to journalArticle (Academic Journal)peer-review

112 Citations (Scopus)
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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 million years ago, 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 preindustrial 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 datasets, which will be used to evaluate the simulations, will be developed.
Original languageEnglish
Pages (from-to)889-901
Number of pages13
JournalGeoscientific Model Development
Volume10
Issue number2
DOIs
Publication statusPublished - 23 Feb 2017

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