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: Lunt, Daniel, Bragg, Fran, Chan, Wing-Le, Hutchinson, David, Ladant, Jean-Baptiste, Morozova, Polina, Niezgodzki, Igor, Steinig, Sebastian, Zhang, Zhongshi, Zhu, Jiang, Abe-Ouchi, Ayako, Anagnostou, Eleni, de Boer, Agatha, Coxall, Helen, Donnadieu, Yannick, Foster, Gavin, Inglis, Gordon, Knorr, Gregor, Langebroek, Petra, Lear, Caroline, Lohman, Gerrit, Poulsen, Christopher, Sepulchre, Pierre, Tierney, Jessica, Valdes, Paul, Volodin, Evgeny, Dunkley Jones, Tom, Hollis, Christopher, Huber, Matthew, Otto-Bliesner, Bette
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications (EGU) 2021
Subjects:
Online Access:https://oceanrep.geomar.de/id/eprint/51588/
https://oceanrep.geomar.de/id/eprint/51588/1/cp-17-203-2021.pdf
https://oceanrep.geomar.de/id/eprint/51588/7/cp-17-203-2021-supplement.zip
https://doi.org/10.5194/cp-17-203-2021
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language English
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-CO2 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 CO2 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 CO2 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-CO2 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 CO2, 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 consistent ...
format Article in Journal/Newspaper
author Lunt, Daniel
Bragg, Fran
Chan, Wing-Le
Hutchinson, David
Ladant, Jean-Baptiste
Morozova, Polina
Niezgodzki, Igor
Steinig, Sebastian
Zhang, Zhongshi
Zhu, Jiang
Abe-Ouchi, Ayako
Anagnostou, Eleni
de Boer, Agatha
Coxall, Helen
Donnadieu, Yannick
Foster, Gavin
Inglis, Gordon
Knorr, Gregor
Langebroek, Petra
Lear, Caroline
Lohman, Gerrit
Poulsen, Christopher
Sepulchre, Pierre
Tierney, Jessica
Valdes, Paul
Volodin, Evgeny
Dunkley Jones, Tom
Hollis, Christopher
Huber, Matthew
Otto-Bliesner, Bette
spellingShingle Lunt, Daniel
Bragg, Fran
Chan, Wing-Le
Hutchinson, David
Ladant, Jean-Baptiste
Morozova, Polina
Niezgodzki, Igor
Steinig, Sebastian
Zhang, Zhongshi
Zhu, Jiang
Abe-Ouchi, Ayako
Anagnostou, Eleni
de Boer, Agatha
Coxall, Helen
Donnadieu, Yannick
Foster, Gavin
Inglis, Gordon
Knorr, Gregor
Langebroek, Petra
Lear, Caroline
Lohman, Gerrit
Poulsen, Christopher
Sepulchre, Pierre
Tierney, Jessica
Valdes, Paul
Volodin, Evgeny
Dunkley Jones, Tom
Hollis, Christopher
Huber, Matthew
Otto-Bliesner, Bette
DeepMIP: model intercomparison of early Eocene climatic optimum (EECO) large-scale climate features and comparison with proxy data
author_facet Lunt, Daniel
Bragg, Fran
Chan, Wing-Le
Hutchinson, David
Ladant, Jean-Baptiste
Morozova, Polina
Niezgodzki, Igor
Steinig, Sebastian
Zhang, Zhongshi
Zhu, Jiang
Abe-Ouchi, Ayako
Anagnostou, Eleni
de Boer, Agatha
Coxall, Helen
Donnadieu, Yannick
Foster, Gavin
Inglis, Gordon
Knorr, Gregor
Langebroek, Petra
Lear, Caroline
Lohman, Gerrit
Poulsen, Christopher
Sepulchre, Pierre
Tierney, Jessica
Valdes, Paul
Volodin, Evgeny
Dunkley Jones, Tom
Hollis, Christopher
Huber, Matthew
Otto-Bliesner, Bette
author_sort Lunt, Daniel
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 (EGU)
publishDate 2021
url https://oceanrep.geomar.de/id/eprint/51588/
https://oceanrep.geomar.de/id/eprint/51588/1/cp-17-203-2021.pdf
https://oceanrep.geomar.de/id/eprint/51588/7/cp-17-203-2021-supplement.zip
https://doi.org/10.5194/cp-17-203-2021
geographic Antarctic
The Antarctic
Pacific
geographic_facet Antarctic
The Antarctic
Pacific
genre Antarc*
Antarctic
Ice Sheet
genre_facet Antarc*
Antarctic
Ice Sheet
op_relation https://oceanrep.geomar.de/id/eprint/51588/1/cp-17-203-2021.pdf
https://oceanrep.geomar.de/id/eprint/51588/7/cp-17-203-2021-supplement.zip
Lunt, D., Bragg, F., Chan, W. L., Hutchinson, D., Ladant, J. B., Morozova, P., Niezgodzki, I., Steinig, S. , Zhang, Z., Zhu, J., Abe-Ouchi, A., Anagnostou, E. , de Boer, A., Coxall, H., Donnadieu, Y., Foster, G., Inglis, G., Knorr, G., Langebroek, P., Lear, C., Lohman, G., Poulsen, C., Sepulchre, P., Tierney, J., Valdes, P., Volodin, E., Dunkley Jones, T., Hollis, C., Huber, M. and Otto-Bliesner, B. (2021) DeepMIP: model intercomparison of early Eocene climatic optimum (EECO) large-scale climate features and comparison with proxy data. Open Access Climate of the Past, 17 (1). pp. 203-227. DOI 10.5194/cp-17-203-2021 <https://doi.org/10.5194/cp-17-203-2021>.
doi:10.5194/cp-17-203-2021
op_rights cc_by_4.0
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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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spelling ftoceanrep:oai:oceanrep.geomar.de:51588 2024-02-11T09:57:26+01:00 DeepMIP: model intercomparison of early Eocene climatic optimum (EECO) large-scale climate features and comparison with proxy data Lunt, Daniel Bragg, Fran Chan, Wing-Le Hutchinson, David Ladant, Jean-Baptiste Morozova, Polina Niezgodzki, Igor Steinig, Sebastian Zhang, Zhongshi Zhu, Jiang Abe-Ouchi, Ayako Anagnostou, Eleni de Boer, Agatha Coxall, Helen Donnadieu, Yannick Foster, Gavin Inglis, Gordon Knorr, Gregor Langebroek, Petra Lear, Caroline Lohman, Gerrit Poulsen, Christopher Sepulchre, Pierre Tierney, Jessica Valdes, Paul Volodin, Evgeny Dunkley Jones, Tom Hollis, Christopher Huber, Matthew Otto-Bliesner, Bette 2021-01-15 text archive https://oceanrep.geomar.de/id/eprint/51588/ https://oceanrep.geomar.de/id/eprint/51588/1/cp-17-203-2021.pdf https://oceanrep.geomar.de/id/eprint/51588/7/cp-17-203-2021-supplement.zip https://doi.org/10.5194/cp-17-203-2021 en eng Copernicus Publications (EGU) https://oceanrep.geomar.de/id/eprint/51588/1/cp-17-203-2021.pdf https://oceanrep.geomar.de/id/eprint/51588/7/cp-17-203-2021-supplement.zip Lunt, D., Bragg, F., Chan, W. L., Hutchinson, D., Ladant, J. B., Morozova, P., Niezgodzki, I., Steinig, S. , Zhang, Z., Zhu, J., Abe-Ouchi, A., Anagnostou, E. , de Boer, A., Coxall, H., Donnadieu, Y., Foster, G., Inglis, G., Knorr, G., Langebroek, P., Lear, C., Lohman, G., Poulsen, C., Sepulchre, P., Tierney, J., Valdes, P., Volodin, E., Dunkley Jones, T., Hollis, C., Huber, M. and Otto-Bliesner, B. (2021) DeepMIP: model intercomparison of early Eocene climatic optimum (EECO) large-scale climate features and comparison with proxy data. Open Access Climate of the Past, 17 (1). pp. 203-227. DOI 10.5194/cp-17-203-2021 <https://doi.org/10.5194/cp-17-203-2021>. doi:10.5194/cp-17-203-2021 cc_by_4.0 info:eu-repo/semantics/openAccess Article PeerReviewed 2021 ftoceanrep https://doi.org/10.5194/cp-17-203-2021 2024-01-15T00:22:57Z 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-CO2 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 CO2 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 CO2 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-CO2 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 CO2, 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 consistent ... Article in Journal/Newspaper Antarc* Antarctic Ice Sheet OceanRep (GEOMAR Helmholtz Centre für Ocean Research Kiel) Antarctic The Antarctic Pacific Climate of the Past 17 1 203 227