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The Relationship Between the Global Mean Deep-Sea and Surface Temperature During the Early Eocene

  • Barbara Goudsmit-Harzevoort
  • , Angelique Lansu
  • , Michiel L.J. Baatsen
  • , Anna S. von der Heydt
  • , Niels J. de Winter
  • , Yurui Zhang
  • , Ayako Abe-Ouchi
  • , Agatha de Boer
  • , Wing Le Chan
  • , Yannick Donnadieu
  • , David K. Hutchinson
  • , Gregor Knorr
  • , Jean Baptiste Ladant
  • , Polina Morozova
  • , Igor Niezgodzki
  • , Sebastian Steinig
  • , Aradhna Tripati
  • , Zhongshi Zhang
  • , Jiang Zhu
  • , Martin Ziegler
  • Royal Netherlands Institute for Sea Research - NIOZ
  • Utrecht University
  • Open Universiteit
  • Vrije Universiteit Brussel
  • Vrije Universiteit Amsterdam
  • Xiamen University
  • The University of Tokyo
  • Stockholm University
  • Japan Agency for Marine-Earth Science and Technology
  • Aix-Marseille Université
  • University of New South Wales
  • Alfred Wegener Institute - Helmholtz Centre for Polar and Marine Research
  • Université Versailles St-Quentin
  • Russian Academy of Sciences
  • Biogeosystem Modelling Group
  • University of Bristol
  • University of California at Los Angeles
  • China University of Geosciences, Wuhan
  • Bjerknes Centre for Climate Research
  • National Center for Atmospheric Research

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Estimates of global mean near-surface air temperature (global SAT) for the Cenozoic era rely largely on paleo-proxy data of deep-sea temperature (DST), with the assumption that changes in global SAT covary with changes in the global mean deep-sea temperature (global DST) and global mean sea-surface temperature (global SST). We tested the validity of this assumption by analyzing the relationship between global SST, SAT, and DST using 25 different model simulations from the Deep-Time Model Intercomparison Project simulating the early Eocene Climatic Optimum (EECO) with varying CO2 levels. Similar to the modern situation, we find limited spatial variability in DST, indicating that local DST estimates can be regarded as a first order representative of global DST. In line with previously assumed relationships, linear regression analysis indicates that both global DST and SAT respond stronger to changes in atmospheric CO2 than global SST by a similar factor. Consequently, this model-based analysis validates the assumption that changes in global DST can be used to estimate changes in global SAT during the early Cenozoic. Paleo-proxy estimates of global DST, SST, and SAT during EECO show the best fit with model simulations with a 1,680 ppm atmospheric CO2 level. This matches paleo-proxies of EECO atmospheric CO2, indicating a good fit between models and proxy-data.

Original languageEnglish
Article numbere2022PA004532
JournalPaleoceanography and Paleoclimatology
Volume38
Issue number3
DOIs
StatePublished - Mar 2023

Keywords

  • DeepMIP
  • climate sensitivity
  • deep-sea temperature
  • early Eocene
  • model-data comparison

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