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DeepMIP: experimental design for model simulations of the EECO, PETM, and pre-PETM

Authors :
Ulrich Salzmann
Yannick Donnadieu
Rob DeConto
Michael Starz
Robert L. Korty
Daniel J. Lunt
Jess Tierney
Rodrigo Caballero
Kate Littler
Michiel Baatsen
Srinath Krishnan
Scott L. Wing
Edward Gasson
Sandy Kirtland Turner
Ran Feng
Christine A. Shields
Reinhardt Kozdon
Allegra N. LeGrande
Jean-Baptiste Ladant
Kathryn E. Snell
Petra Langebroek
Anna von der Heydt
Paul Nicholas Pearson
Bridget S. Wade
Bette L. Otto-Bliesner
Paul J. Markwick
James R Super
Gregory J. L. Tourte
Matthew Huber
James C Zachos
Christopher J. Hollis
Richard E. Zeebe
David Evans
Christopher J. Poulsen
Arne M.E. Winguth
Gary R. Upchurch
Caroline H Lear
Clay Tabour
Gavin L. Foster
Nicky M. Wright
Publication Year :
2016
Publisher :
Copernicus GmbH, 2016.

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 latest Paleocene and the early Eocene. Together these form the first phase of DeepMIP – the deeptime model intercomparison project, itself a group within the wider Paleoclimate Modelling Intercomparison Project (PMIP). The experimental design consists of three core paleo simulations and a set of optional sensitivity studies. The experimental design specifies and provides guidance on boundary conditions associated with palaeogeography, greenhouse gases, orbital configuration, solar constant, land surface parameters, 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.

Details

ISSN :
1991962X
Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....ae21bb00541a097c211f61d9684b2c53
Full Text :
https://doi.org/10.5194/gmd-2016-127