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

Research output: Contribution to journalArticlepeer-review


  • Christopher J. Hollis
  • Eleni Anagnostou
  • Peter K. Bijl
  • Margot J. Cramwinckel
  • Ying Cui
  • Gerald R. Dickens
  • David Evans
  • Gavin L. Foster
  • Joost Frieling
  • Gordon N. Inglis
  • Elizabeth M. Kennedy
  • Reinhard Kozdon
  • Vittoria Lauretano
  • Caroline H. Lear
  • Kate Littler
  • Nele Meckler
  • B. David A. Naafs
  • Heiko Pälike
  • Richard D. Pancost
  • Paul Pearson
  • Dana L. Royer
  • Ulrich Salzmann
  • Brian Schubert
  • Hannu Seebeck
  • Appy Sluijs
  • Robert Speijer
  • Peter Stassen
  • Jessica Tierney
  • Aradhna Tripati
  • Bridget Wade
  • Thomas Westerhold
  • Caitlyn Witkowski
  • James C. Zachos
  • Yi Ge Zhang
  • Matthew Huber
  • Daniel J. Lunt

Colleges, School and Institutes


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.


Original languageEnglish
Pages (from-to)3149-3206
Number of pages58
JournalGeoscientific Model Development
Publication statusPublished - 25 Jul 2019