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

Authors :
Lunt, Daniel J.
Huber, Matthew
Baatsen, Michiel L. J.
Caballero, Rodrigo
DeConto, Rob
Donnadieu, Yannick
Evans, David
Ran Feng
Foster, Gavin
Gasson, Ed
von der Heydt, Anna S.
Hollis, Chris J.
Turner, Sandy Kirtland
Korty, Robert L.
Kozdon, Reinhardt
Krishnan, Srinath
Ladant, Jean-Baptiste
Langebroek, Petra
Lear, Caroline H.
LeGrande, Allegra N.
Source :
Geoscientific Model Development Discussions; 2016, p1-16, 16p
Publication Year :
2016

Abstract

Past warm periods provide an opportunity to evaluate climate models under extreme forcing scenarios, in particular high (> 800 ppmv) atmospheric CO<subscript>2</subscript> 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-CO<subscript>2</subscript> 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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
19919611
Database :
Complementary Index
Journal :
Geoscientific Model Development Discussions
Publication Type :
Academic Journal
Accession number :
116807933
Full Text :
https://doi.org/10.5194/gmd-2016-127