The DeepMIP contribution to PMIP4: methodologies for selection, compilation and analysis of latest Paleocene and early Eocene climate proxy data, incorporating version 0.1 of the DeepMIP database
Author
Hollis, Christopher J.Dunkley Jones, Tom
Anagnostou, Eleni
Bijl, Peter K.
Cramwinckel, Margot J.
Cui, Ying
Dickens, Gerald R.
Edgar, Kirsty M.
Eley, Yvette
Evans, David
Foster, Gavin L.
Frieling, Joost
Inglis, Gordon N.
Kennedy, Elizabeth M.
Kozdon, Reinhard
Lauretano, Vittoria
Lear, Caroline H.
Littler, Kate
Lourens, Lucas
Meckler, A. Nele
Naafs, B. David A.
Pälike, Heiko
Pancost, Richard D.
Pearson, Paul N.
Röhl, Ursula
Royer, Dana L.
Salzmann, Ulrich
Schubert, Brian A.
Seebeck, Hannu
Sluijs, Appy
Speijer, Robert P.
Stassen, Peter
Tierney, Jessica
Tripati, Aradhna
Wade, Bridget
Westerhold, Thomas
Witkowski, Caitlyn
Zachos, James C.
Zhang, Yi Ge
Huber, Matthew
Lunt, Daniel J.
Affiliation
Univ Arizona, Dept GeosciIssue Date
2019-07-25
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COPERNICUS GESELLSCHAFT MBHCitation
Hollis, C. J., Dunkley Jones, T., Anagnostou, E., Bijl, P. K., Cramwinckel, M. J., Cui, Y., Dickens, G. R., Edgar, K. M., Eley, Y., Evans, D., Foster, G. L., Frieling, J., Inglis, G. N., Kennedy, E. M., Kozdon, R., Lauretano, V., Lear, C. H., Littler, K., Lourens, L., Meckler, A. N., Naafs, B. D. A., Pälike, H., Pancost, R. D., Pearson, P. N., Röhl, U., Royer, D. L., Salzmann, U., Schubert, B. A., Seebeck, H., Sluijs, A., Speijer, R. P., Stassen, P., Tierney, J., Tripati, A., Wade, B., Westerhold, T., Witkowski, C., Zachos, J. C., Zhang, Y. G., Huber, M., and Lunt, D. J.: The DeepMIP contribution to PMIP4: methodologies for selection, compilation and analysis of latest Paleocene and early Eocene climate proxy data, incorporating version 0.1 of the DeepMIP database, Geosci. Model Dev., 12, 3149–3206, https://doi.org/10.5194/gmd-12-3149-2019, 2019.Journal
GEOSCIENTIFIC MODEL DEVELOPMENTRights
Copyright © Author(s) 2019. This work is distributed under the Creative Commons Attribution 4.0 License.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
The early Eocene (56 to 48 million years ago) is inferred to have been the most recent time that Earth's atmospheric CO2 concentrations exceeded 1000 ppm. Global mean temperatures were also substantially warmer than those of the present day. As such, the study of early Eocene climate provides insight into how a super-warm Earth system behaves and offers an opportunity to evaluate climate models under conditions of high greenhouse gas forcing. The Deep Time Model Intercomparison Project (DeepMIP) is a systematic model-model and model-data intercomparison of three early Paleogene time slices: latest Paleocene, Paleocene-Eocene thermal maximum (PETM) and early Eocene climatic optimum (EECO). A previous article outlined the model experimental design for climate model simulations. In this article, we outline the methodologies to be used for the compilation and analysis of climate proxy data, primarily proxies for temperature and CO2. This paper establishes the protocols for a concerted and coordinated effort to compile the climate proxy records across a wide geographic range. The resulting climate "atlas" will be used to constrain and evaluate climate models for the three selected time intervals and provide insights into the mechanisms that control these warm climate states. We provide version 0.1 of this database, in anticipation that this will be expanded in subsequent publications.Note
Open access journalISSN
1991-959XVersion
Final published versionSponsors
UK government through NERC [NE/P01903X/1, NE/N006828/1]; GNS Science Global Change through Time Programme; NERC [NE/P013112/1, NE/P019102/1]; NSF EAR [1603051]; KU Leuven BOF [3E170442]ae974a485f413a2113503eed53cd6c53
10.5194/gmd-12-3149-2019
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Except where otherwise noted, this item's license is described as Copyright © Author(s) 2019. This work is distributed under the Creative Commons Attribution 4.0 License.