the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
The DeepMIP contribution to PMIP4: experimental design for model simulations of the EECO, PETM, and pre-PETM (version 1.0)
Matthew Huber
Eleni Anagnostou
Michiel L. J. Baatsen
Rodrigo Caballero
Rob DeConto
Henk A. Dijkstra
Yannick Donnadieu
David Evans
Ran Feng
Gavin L. Foster
Ed Gasson
Anna S. von der Heydt
Chris J. Hollis
Gordon N. Inglis
Stephen M. Jones
Jeff Kiehl
Sandy Kirtland Turner
Robert L. Korty
Reinhardt Kozdon
Srinath Krishnan
Jean-Baptiste Ladant
Petra Langebroek
Caroline H. Lear
Allegra N. LeGrande
Kate Littler
Paul Markwick
Bette Otto-Bliesner
Paul Pearson
Christopher J. Poulsen
Ulrich Salzmann
Christine Shields
Kathryn Snell
Michael Stärz
James Super
Clay Tabor
Jessica E. Tierney
Gregory J. L. Tourte
Aradhna Tripati
Garland R. Upchurch
Bridget S. Wade
Scott L. Wing
Arne M. E. Winguth
Nicky M. Wright
James C. Zachos
Richard E. Zeebe
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 4 × CO2 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.
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