DeepMIP: model intercomparison of early Eocene climatic optimum (EECO) large-scale climate features and comparison with proxy data

We present results from an ensemble of eight climate models, each of which has carried out simulations of the early Eocene climate optimum (EECO, ∼ 50 million years ago). These simulations have been carried out in the framework of the Deep-Time Model Intercomparison Project (DeepMIP; http://www.deep...

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Published in:Climate of the Past
Main Authors: D. J. Lunt, F. Bragg, W.-L. Chan, D. K. Hutchinson, J.-B. Ladant, P. Morozova, I. Niezgodzki, S. Steinig, Z. Zhang, J. Zhu, A. Abe-Ouchi, E. Anagnostou, A. M. de Boer, H. K. Coxall, Y. Donnadieu, G. Foster, G. N. Inglis, G. Knorr, P. M. Langebroek, C. H. Lear, G. Lohmann, C. J. Poulsen, P. Sepulchre, J. E. Tierney, P. J. Valdes, E. M. Volodin, T. Dunkley Jones, C. J. Hollis, M. Huber, B. L. Otto-Bliesner
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2021
Subjects:
Online Access:https://doi.org/10.5194/cp-17-203-2021
https://doaj.org/article/7b6841f438e54b4f9d2617c7b44cdd2b
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spelling ftdoajarticles:oai:doaj.org/article:7b6841f438e54b4f9d2617c7b44cdd2b 2023-05-15T13:49:45+02:00 DeepMIP: model intercomparison of early Eocene climatic optimum (EECO) large-scale climate features and comparison with proxy data D. J. Lunt F. Bragg W.-L. Chan D. K. Hutchinson J.-B. Ladant P. Morozova I. Niezgodzki S. Steinig Z. Zhang J. Zhu A. Abe-Ouchi E. Anagnostou A. M. de Boer H. K. Coxall Y. Donnadieu G. Foster G. N. Inglis G. Knorr P. M. Langebroek C. H. Lear G. Lohmann C. J. Poulsen P. Sepulchre J. E. Tierney P. J. Valdes E. M. Volodin T. Dunkley Jones C. J. Hollis M. Huber B. L. Otto-Bliesner 2021-01-01T00:00:00Z https://doi.org/10.5194/cp-17-203-2021 https://doaj.org/article/7b6841f438e54b4f9d2617c7b44cdd2b EN eng Copernicus Publications https://cp.copernicus.org/articles/17/203/2021/cp-17-203-2021.pdf https://doaj.org/toc/1814-9324 https://doaj.org/toc/1814-9332 doi:10.5194/cp-17-203-2021 1814-9324 1814-9332 https://doaj.org/article/7b6841f438e54b4f9d2617c7b44cdd2b Climate of the Past, Vol 17, Pp 203-227 (2021) Environmental pollution TD172-193.5 Environmental protection TD169-171.8 Environmental sciences GE1-350 article 2021 ftdoajarticles https://doi.org/10.5194/cp-17-203-2021 2022-12-31T07:38:06Z We present results from an ensemble of eight climate models, each of which has carried out simulations of the early Eocene climate optimum (EECO, ∼ 50 million years ago). These simulations have been carried out in the framework of the Deep-Time Model Intercomparison Project (DeepMIP; http://www.deepmip.org , last access: 10 January 2021); thus, all models have been configured with the same paleogeographic and vegetation boundary conditions. The results indicate that these non-CO 2 boundary conditions contribute between 3 and 5 ∘ C to Eocene warmth. Compared with results from previous studies, the DeepMIP simulations generally show a reduced spread of the global mean surface temperature response across the ensemble for a given atmospheric CO 2 concentration as well as an increased climate sensitivity on average. An energy balance analysis of the model ensemble indicates that global mean warming in the Eocene compared with the preindustrial period mostly arises from decreases in emissivity due to the elevated CO 2 concentration (and associated water vapour and long-wave cloud feedbacks), whereas the reduction in the Eocene in terms of the meridional temperature gradient is primarily due to emissivity and albedo changes owing to the non-CO 2 boundary conditions (i.e. the removal of the Antarctic ice sheet and changes in vegetation). Three of the models (the Community Earth System Model, CESM; the Geophysical Fluid Dynamics Laboratory, GFDL, model; and the Norwegian Earth System Model, NorESM) show results that are consistent with the proxies in terms of the global mean temperature, meridional SST gradient, and CO 2 , without prescribing changes to model parameters. In addition, many of the models agree well with the first-order spatial patterns in the SST proxies. However, at a more regional scale, the models lack skill. In particular, the modelled anomalies are substantially lower than those indicated by the proxies in the southwest Pacific; here, modelled continental surface air temperature anomalies are more ... Article in Journal/Newspaper Antarc* Antarctic Ice Sheet Directory of Open Access Journals: DOAJ Articles Antarctic The Antarctic Pacific Climate of the Past 17 1 203 227
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Environmental pollution
TD172-193.5
Environmental protection
TD169-171.8
Environmental sciences
GE1-350
spellingShingle Environmental pollution
TD172-193.5
Environmental protection
TD169-171.8
Environmental sciences
GE1-350
D. J. Lunt
F. Bragg
W.-L. Chan
D. K. Hutchinson
J.-B. Ladant
P. Morozova
I. Niezgodzki
S. Steinig
Z. Zhang
J. Zhu
A. Abe-Ouchi
E. Anagnostou
A. M. de Boer
H. K. Coxall
Y. Donnadieu
G. Foster
G. N. Inglis
G. Knorr
P. M. Langebroek
C. H. Lear
G. Lohmann
C. J. Poulsen
P. Sepulchre
J. E. Tierney
P. J. Valdes
E. M. Volodin
T. Dunkley Jones
C. J. Hollis
M. Huber
B. L. Otto-Bliesner
DeepMIP: model intercomparison of early Eocene climatic optimum (EECO) large-scale climate features and comparison with proxy data
topic_facet Environmental pollution
TD172-193.5
Environmental protection
TD169-171.8
Environmental sciences
GE1-350
description We present results from an ensemble of eight climate models, each of which has carried out simulations of the early Eocene climate optimum (EECO, ∼ 50 million years ago). These simulations have been carried out in the framework of the Deep-Time Model Intercomparison Project (DeepMIP; http://www.deepmip.org , last access: 10 January 2021); thus, all models have been configured with the same paleogeographic and vegetation boundary conditions. The results indicate that these non-CO 2 boundary conditions contribute between 3 and 5 ∘ C to Eocene warmth. Compared with results from previous studies, the DeepMIP simulations generally show a reduced spread of the global mean surface temperature response across the ensemble for a given atmospheric CO 2 concentration as well as an increased climate sensitivity on average. An energy balance analysis of the model ensemble indicates that global mean warming in the Eocene compared with the preindustrial period mostly arises from decreases in emissivity due to the elevated CO 2 concentration (and associated water vapour and long-wave cloud feedbacks), whereas the reduction in the Eocene in terms of the meridional temperature gradient is primarily due to emissivity and albedo changes owing to the non-CO 2 boundary conditions (i.e. the removal of the Antarctic ice sheet and changes in vegetation). Three of the models (the Community Earth System Model, CESM; the Geophysical Fluid Dynamics Laboratory, GFDL, model; and the Norwegian Earth System Model, NorESM) show results that are consistent with the proxies in terms of the global mean temperature, meridional SST gradient, and CO 2 , without prescribing changes to model parameters. In addition, many of the models agree well with the first-order spatial patterns in the SST proxies. However, at a more regional scale, the models lack skill. In particular, the modelled anomalies are substantially lower than those indicated by the proxies in the southwest Pacific; here, modelled continental surface air temperature anomalies are more ...
format Article in Journal/Newspaper
author D. J. Lunt
F. Bragg
W.-L. Chan
D. K. Hutchinson
J.-B. Ladant
P. Morozova
I. Niezgodzki
S. Steinig
Z. Zhang
J. Zhu
A. Abe-Ouchi
E. Anagnostou
A. M. de Boer
H. K. Coxall
Y. Donnadieu
G. Foster
G. N. Inglis
G. Knorr
P. M. Langebroek
C. H. Lear
G. Lohmann
C. J. Poulsen
P. Sepulchre
J. E. Tierney
P. J. Valdes
E. M. Volodin
T. Dunkley Jones
C. J. Hollis
M. Huber
B. L. Otto-Bliesner
author_facet D. J. Lunt
F. Bragg
W.-L. Chan
D. K. Hutchinson
J.-B. Ladant
P. Morozova
I. Niezgodzki
S. Steinig
Z. Zhang
J. Zhu
A. Abe-Ouchi
E. Anagnostou
A. M. de Boer
H. K. Coxall
Y. Donnadieu
G. Foster
G. N. Inglis
G. Knorr
P. M. Langebroek
C. H. Lear
G. Lohmann
C. J. Poulsen
P. Sepulchre
J. E. Tierney
P. J. Valdes
E. M. Volodin
T. Dunkley Jones
C. J. Hollis
M. Huber
B. L. Otto-Bliesner
author_sort D. J. Lunt
title DeepMIP: model intercomparison of early Eocene climatic optimum (EECO) large-scale climate features and comparison with proxy data
title_short DeepMIP: model intercomparison of early Eocene climatic optimum (EECO) large-scale climate features and comparison with proxy data
title_full DeepMIP: model intercomparison of early Eocene climatic optimum (EECO) large-scale climate features and comparison with proxy data
title_fullStr DeepMIP: model intercomparison of early Eocene climatic optimum (EECO) large-scale climate features and comparison with proxy data
title_full_unstemmed DeepMIP: model intercomparison of early Eocene climatic optimum (EECO) large-scale climate features and comparison with proxy data
title_sort deepmip: model intercomparison of early eocene climatic optimum (eeco) large-scale climate features and comparison with proxy data
publisher Copernicus Publications
publishDate 2021
url https://doi.org/10.5194/cp-17-203-2021
https://doaj.org/article/7b6841f438e54b4f9d2617c7b44cdd2b
geographic Antarctic
The Antarctic
Pacific
geographic_facet Antarctic
The Antarctic
Pacific
genre Antarc*
Antarctic
Ice Sheet
genre_facet Antarc*
Antarctic
Ice Sheet
op_source Climate of the Past, Vol 17, Pp 203-227 (2021)
op_relation https://cp.copernicus.org/articles/17/203/2021/cp-17-203-2021.pdf
https://doaj.org/toc/1814-9324
https://doaj.org/toc/1814-9332
doi:10.5194/cp-17-203-2021
1814-9324
1814-9332
https://doaj.org/article/7b6841f438e54b4f9d2617c7b44cdd2b
op_doi https://doi.org/10.5194/cp-17-203-2021
container_title Climate of the Past
container_volume 17
container_issue 1
container_start_page 203
op_container_end_page 227
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