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 J., Bragg, Fran, Chan, Wing-le, Hutchinson, David K., Ladant, Jean-baptiste, Morozova, Polina, Niezgodzki, Igor, Steinig, Sebastian, Zhang, Zhongshi, Zhu, Jiang, Abe-ouchi, Ayako, Anagnostou, Eleni, De Boer, Agatha M., Coxall, Helen K., Donnadieu, Yannick, Foster, Gavin, Inglis, Gordon N., Knorr, Gregor, Langebroek, Petra M., Lear, Caroline H., Lohmann, Gerrit, Poulsen, Christopher J., Sepulchre, Pierre, Tierney, Jessica E., Valdes, Paul J., Volodin, Evgeny M., Dunkley Jones, Tom, Hollis, Christopher J., Huber, Matthew, Otto-bliesner, Bette L.
Format: Article in Journal/Newspaper
Language:English
Published: 2021
Subjects:
Online Access:https://hdl.handle.net/1983/22ea9a7d-eccc-4eca-b04d-7f003e8d1d2e
https://research-information.bris.ac.uk/en/publications/22ea9a7d-eccc-4eca-b04d-7f003e8d1d2e
https://doi.org/10.5194/cp-17-203-2021
https://research-information.bris.ac.uk/ws/files/275454807/Full_text_PDF_final_published_version_.pdf
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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 J.
Bragg, Fran
Chan, Wing-le
Hutchinson, David K.
Ladant, Jean-baptiste
Morozova, Polina
Niezgodzki, Igor
Steinig, Sebastian
Zhang, Zhongshi
Zhu, Jiang
Abe-ouchi, Ayako
Anagnostou, Eleni
De Boer, Agatha M.
Coxall, Helen K.
Donnadieu, Yannick
Foster, Gavin
Inglis, Gordon N.
Knorr, Gregor
Langebroek, Petra M.
Lear, Caroline H.
Lohmann, Gerrit
Poulsen, Christopher J.
Sepulchre, Pierre
Tierney, Jessica E.
Valdes, Paul J.
Volodin, Evgeny M.
Dunkley Jones, Tom
Hollis, Christopher J.
Huber, Matthew
Otto-bliesner, Bette L.
spellingShingle Lunt, Daniel J.
Bragg, Fran
Chan, Wing-le
Hutchinson, David K.
Ladant, Jean-baptiste
Morozova, Polina
Niezgodzki, Igor
Steinig, Sebastian
Zhang, Zhongshi
Zhu, Jiang
Abe-ouchi, Ayako
Anagnostou, Eleni
De Boer, Agatha M.
Coxall, Helen K.
Donnadieu, Yannick
Foster, Gavin
Inglis, Gordon N.
Knorr, Gregor
Langebroek, Petra M.
Lear, Caroline H.
Lohmann, Gerrit
Poulsen, Christopher J.
Sepulchre, Pierre
Tierney, Jessica E.
Valdes, Paul J.
Volodin, Evgeny M.
Dunkley Jones, Tom
Hollis, Christopher J.
Huber, Matthew
Otto-bliesner, Bette L.
DeepMIP:model intercomparison of early Eocene climatic optimum (EECO) large-scale climate features and comparison with proxy data
author_facet Lunt, Daniel J.
Bragg, Fran
Chan, Wing-le
Hutchinson, David K.
Ladant, Jean-baptiste
Morozova, Polina
Niezgodzki, Igor
Steinig, Sebastian
Zhang, Zhongshi
Zhu, Jiang
Abe-ouchi, Ayako
Anagnostou, Eleni
De Boer, Agatha M.
Coxall, Helen K.
Donnadieu, Yannick
Foster, Gavin
Inglis, Gordon N.
Knorr, Gregor
Langebroek, Petra M.
Lear, Caroline H.
Lohmann, Gerrit
Poulsen, Christopher J.
Sepulchre, Pierre
Tierney, Jessica E.
Valdes, Paul J.
Volodin, Evgeny M.
Dunkley Jones, Tom
Hollis, Christopher J.
Huber, Matthew
Otto-bliesner, Bette L.
author_sort Lunt, Daniel J.
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
publishDate 2021
url https://hdl.handle.net/1983/22ea9a7d-eccc-4eca-b04d-7f003e8d1d2e
https://research-information.bris.ac.uk/en/publications/22ea9a7d-eccc-4eca-b04d-7f003e8d1d2e
https://doi.org/10.5194/cp-17-203-2021
https://research-information.bris.ac.uk/ws/files/275454807/Full_text_PDF_final_published_version_.pdf
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Antarctic
Ice Sheet
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Antarctic
Ice Sheet
op_source Lunt , D J , Bragg , F , Chan , W , Hutchinson , D K , Ladant , J , Morozova , P , Niezgodzki , I , Steinig , S , Zhang , Z , Zhu , J , Abe-ouchi , A , Anagnostou , E , De Boer , A M , Coxall , H K , Donnadieu , Y , Foster , G , Inglis , G N , Knorr , G , Langebroek , P M , Lear , C H , Lohmann , G , Poulsen , C J , Sepulchre , P , Tierney , J E , Valdes , P J , Volodin , E M , Dunkley Jones , T , Hollis , C J , Huber , M & Otto-bliesner , B L 2021 , ' DeepMIP : model intercomparison of early Eocene climatic optimum (EECO) large-scale climate features and comparison with proxy data ' , Climate of the Past , vol. 17 , no. 1 , pp. 203-227 . https://doi.org/10.5194/cp-17-203-2021
op_relation https://research-information.bris.ac.uk/en/publications/22ea9a7d-eccc-4eca-b04d-7f003e8d1d2e
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container_title Climate of the Past
container_volume 17
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container_start_page 203
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spelling ftubristolcris:oai:research-information.bris.ac.uk:publications/22ea9a7d-eccc-4eca-b04d-7f003e8d1d2e 2024-04-28T07:59:49+00:00 DeepMIP:model intercomparison of early Eocene climatic optimum (EECO) large-scale climate features and comparison with proxy data Lunt, Daniel J. Bragg, Fran Chan, Wing-le Hutchinson, David K. Ladant, Jean-baptiste Morozova, Polina Niezgodzki, Igor Steinig, Sebastian Zhang, Zhongshi Zhu, Jiang Abe-ouchi, Ayako Anagnostou, Eleni De Boer, Agatha M. Coxall, Helen K. Donnadieu, Yannick Foster, Gavin Inglis, Gordon N. Knorr, Gregor Langebroek, Petra M. Lear, Caroline H. Lohmann, Gerrit Poulsen, Christopher J. Sepulchre, Pierre Tierney, Jessica E. Valdes, Paul J. Volodin, Evgeny M. Dunkley Jones, Tom Hollis, Christopher J. Huber, Matthew Otto-bliesner, Bette L. 2021-01-15 application/pdf https://hdl.handle.net/1983/22ea9a7d-eccc-4eca-b04d-7f003e8d1d2e https://research-information.bris.ac.uk/en/publications/22ea9a7d-eccc-4eca-b04d-7f003e8d1d2e https://doi.org/10.5194/cp-17-203-2021 https://research-information.bris.ac.uk/ws/files/275454807/Full_text_PDF_final_published_version_.pdf eng eng https://research-information.bris.ac.uk/en/publications/22ea9a7d-eccc-4eca-b04d-7f003e8d1d2e info:eu-repo/semantics/openAccess Lunt , D J , Bragg , F , Chan , W , Hutchinson , D K , Ladant , J , Morozova , P , Niezgodzki , I , Steinig , S , Zhang , Z , Zhu , J , Abe-ouchi , A , Anagnostou , E , De Boer , A M , Coxall , H K , Donnadieu , Y , Foster , G , Inglis , G N , Knorr , G , Langebroek , P M , Lear , C H , Lohmann , G , Poulsen , C J , Sepulchre , P , Tierney , J E , Valdes , P J , Volodin , E M , Dunkley Jones , T , Hollis , C J , Huber , M & Otto-bliesner , B L 2021 , ' DeepMIP : model intercomparison of early Eocene climatic optimum (EECO) large-scale climate features and comparison with proxy data ' , Climate of the Past , vol. 17 , no. 1 , pp. 203-227 . https://doi.org/10.5194/cp-17-203-2021 article 2021 ftubristolcris https://doi.org/10.5194/cp-17-203-2021 2024-04-03T16:05:15Z 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 University of Bristol: Bristol Research Climate of the Past 17 1 203 227