Literature DB >> 24043872

The Early Eocene equable climate problem: can perturbations of climate model parameters identify possible solutions?

Navjit Sagoo1, Paul Valdes, Rachel Flecker, Lauren J Gregoire.   

Abstract

Geological data for the Early Eocene (56-47.8 Ma) indicate extensive global warming, with very warm temperatures at both poles. However, despite numerous attempts to simulate this warmth, there are remarkable data-model differences in the prediction of these polar surface temperatures, resulting in the so-called 'equable climate problem'. In this paper, for the first time an ensemble with a perturbed climate-sensitive model parameters approach has been applied to modelling the Early Eocene climate. We performed more than 100 simulations with perturbed physics parameters, and identified two simulations that have an optimal fit with the proxy data. We have simulated the warmth of the Early Eocene at 560 ppmv CO2, which is a much lower CO2 level than many other models. We investigate the changes in atmospheric circulation, cloud properties and ocean circulation that are common to these simulations and how they differ from the remaining simulations in order to understand what mechanisms contribute to the polar warming. The parameter set from one of the optimal Early Eocene simulations also produces a favourable fit for the last glacial maximum boundary climate and outperforms the control parameter set for the present day. Although this does not 'prove' that this model is correct, it is very encouraging that there is a parameter set that creates a climate model able to simulate well very different palaeoclimates and the present-day climate. Interestingly, to achieve the great warmth of the Early Eocene this version of the model does not have a strong future climate change Charney climate sensitivity. It produces a Charney climate sensitivity of 2.7(°)C, whereas the mean value of the 18 models in the IPCC Fourth Assessment Report (AR4) is 3.26(°)C±0.69(°)C. Thus, this value is within the range and below the mean of the models included in the AR4.

Entities:  

Keywords:  Eocene; Eocene model; data/model; equable; perturbed physics ensemble

Year:  2013        PMID: 24043872     DOI: 10.1098/rsta.2013.0123

Source DB:  PubMed          Journal:  Philos Trans A Math Phys Eng Sci        ISSN: 1364-503X            Impact factor:   4.226


  7 in total

1.  Polar amplification of Pliocene climate by elevated trace gas radiative forcing.

Authors:  Peter O Hopcroft; Gilles Ramstein; Thomas A M Pugh; Stephen J Hunter; Fabiola Murguia-Flores; Aurélien Quiquet; Yong Sun; Ning Tan; Paul J Valdes
Journal:  Proc Natl Acad Sci U S A       Date:  2020-09-04       Impact factor: 11.205

2.  Eocene greenhouse climate revealed by coupled clumped isotope-Mg/Ca thermometry.

Authors:  David Evans; Navjit Sagoo; Willem Renema; Laura J Cotton; Wolfgang Müller; Jonathan A Todd; Pratul Kumar Saraswati; Peter Stassen; Martin Ziegler; Paul N Pearson; Paul J Valdes; Hagit P Affek
Journal:  Proc Natl Acad Sci U S A       Date:  2018-01-22       Impact factor: 11.205

3.  Tectonics, climate and the diversification of the tropical African terrestrial flora and fauna.

Authors:  Thomas L P Couvreur; Pierre Sepulchre; Gilles Dauby; Anne Blach-Overgaard; Vincent Deblauwe; Steven Dessein; Vincent Droissart; Oliver J Hardy; David J Harris; Steven B Janssens; Alexandra C Ley; Barbara A Mackinder; Bonaventure Sonké; Marc S M Sosef; Tariq Stévart; Jens-Christian Svenning; Jan J Wieringa; Adama Faye; Alain D Missoup; Krystal A Tolley; Violaine Nicolas; Stéphan Ntie; Frédiéric Fluteau; Cécile Robin; Francois Guillocheau; Doris Barboni
Journal:  Biol Rev Camb Philos Soc       Date:  2020-09-13

4.  Climatic shifts drove major contractions in avian latitudinal distributions throughout the Cenozoic.

Authors:  Erin E Saupe; Alexander Farnsworth; Daniel J Lunt; Navjit Sagoo; Karen V Pham; Daniel J Field
Journal:  Proc Natl Acad Sci U S A       Date:  2019-06-10       Impact factor: 11.205

5.  Simulation of Eocene extreme warmth and high climate sensitivity through cloud feedbacks.

Authors:  Jiang Zhu; Christopher J Poulsen; Jessica E Tierney
Journal:  Sci Adv       Date:  2019-09-18       Impact factor: 14.136

6.  Warm climates of the past--a lesson for the future?

Authors:  D J Lunt; H Elderfield; R Pancost; A Ridgwell; G L Foster; A Haywood; J Kiehl; N Sagoo; C Shields; E J Stone; P Valdes
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2013-09-16       Impact factor: 4.226

7.  The impact of Cenozoic cooling on assemblage diversity in planktonic foraminifera.

Authors:  Isabel S Fenton; Paul N Pearson; Tom Dunkley Jones; Alexander Farnsworth; Daniel J Lunt; Paul Markwick; Andy Purvis
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2016-04-05       Impact factor: 6.237

  7 in total

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