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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2021
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Online Access: | https://doi.org/10.5194/cp-17-203-2021 https://doaj.org/article/7b6841f438e54b4f9d2617c7b44cdd2b |
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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 |
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Open Polar |
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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 |
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Climate of the Past |
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17 |
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