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LongRunMIP: Motivation and design for a large collection of millennial-length AOGCM simulations

LongRunMIP: Motivation and design for a large collection of millennial-length AOGCM simulations
LongRunMIP: Motivation and design for a large collection of millennial-length AOGCM simulations
We present a model intercomparison project, LongRunMIP, the first collection of millennial-length (1,000+ years) simulations of complex coupled climate models with a representation of ocean, atmosphere, sea ice, and land surface, and their interactions. Standard model simulations are generally only a few hundred years long. However, modeling the long-term equilibration in response to radiative forcing perturbation is important for understanding many climate phenomena, such as the evolution of ocean circulation, time- and temperature-dependent feedbacks, and the differentiation of forced signal and internal variability. The aim of LongRunMIP is to facilitate research into these questions by serving as an archive for simulations that capture as much of this equilibration as possible. The only requirement to participate in LongRunMIP is to contribute a simulation with elevated, constant CO2 forcing that lasts at least 1,000 years. LongRunMIP is an MIP of opportunity in that the simulations were mostly performed prior to the conception of the archive without an agreed-upon set of experiments. For most models, the archive contains a preindustrial control simulation and simulations with an idealized (typically abrupt) CO2 forcing. We collect 2D surface and top-of-atmosphere fields and 3D ocean temperature and salinity fields. Here, we document the collection of simulations and discuss initial results, including the evolution of surface and deep ocean temperature and cloud radiative effects. As of October 2019, the collection includes 50 simulations of 15 models by 10 modeling centers. The data of LongRunMIP are publicly available. We encourage submissions of more simulations in the future.
0003-0007
2551-2570
Rugenstein, Maria
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Bloch-johnson, Jonah
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Abe-ouchi, Ayako
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Andrews, Timothy
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Beyerle, Urs
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Cao, Long
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Chadha, Tarun
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Danabasoglu, Gokhan
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Dufresne, Jean-louis
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Duan, Lei
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Foujols, Marie-alice
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Frölicher, Thomas
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Geoffroy, Olivier
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Gregory, Jonathan
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Knutti, Reto
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Li, Chao
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Marzocchi, Alice
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Mauritsen, Thorsten
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Menary, Matthew
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Moyer, Elisabeth
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Nazarenko, Larissa
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Paynter, David
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Saint-martin, David
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Schmidt, Gavin A.
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Yamamoto, Akitomo
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Yang, Shuting
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Rugenstein, Maria
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Bloch-johnson, Jonah
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Abe-ouchi, Ayako
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Andrews, Timothy
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Beyerle, Urs
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Cao, Long
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Chadha, Tarun
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Danabasoglu, Gokhan
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Dufresne, Jean-louis
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Duan, Lei
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Foujols, Marie-alice
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Frölicher, Thomas
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Geoffroy, Olivier
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Gregory, Jonathan
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Knutti, Reto
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Li, Chao
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Marzocchi, Alice
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Mauritsen, Thorsten
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Menary, Matthew
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Moyer, Elisabeth
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Nazarenko, Larissa
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Paynter, David
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Saint-martin, David
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Schmidt, Gavin A.
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Yamamoto, Akitomo
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Yang, Shuting
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Rugenstein, Maria, Bloch-johnson, Jonah, Abe-ouchi, Ayako, Andrews, Timothy, Beyerle, Urs, Cao, Long, Chadha, Tarun, Danabasoglu, Gokhan, Dufresne, Jean-louis, Duan, Lei, Foujols, Marie-alice, Frölicher, Thomas, Geoffroy, Olivier, Gregory, Jonathan, Knutti, Reto, Li, Chao, Marzocchi, Alice, Mauritsen, Thorsten, Menary, Matthew, Moyer, Elisabeth, Nazarenko, Larissa, Paynter, David, Saint-martin, David, Schmidt, Gavin A., Yamamoto, Akitomo and Yang, Shuting (2019) LongRunMIP: Motivation and design for a large collection of millennial-length AOGCM simulations. Bulletin of the American Meteorological Society, 100 (12), 2551-2570. (doi:10.1175/BAMS-D-19-0068.1).

Record type: Article

Abstract

We present a model intercomparison project, LongRunMIP, the first collection of millennial-length (1,000+ years) simulations of complex coupled climate models with a representation of ocean, atmosphere, sea ice, and land surface, and their interactions. Standard model simulations are generally only a few hundred years long. However, modeling the long-term equilibration in response to radiative forcing perturbation is important for understanding many climate phenomena, such as the evolution of ocean circulation, time- and temperature-dependent feedbacks, and the differentiation of forced signal and internal variability. The aim of LongRunMIP is to facilitate research into these questions by serving as an archive for simulations that capture as much of this equilibration as possible. The only requirement to participate in LongRunMIP is to contribute a simulation with elevated, constant CO2 forcing that lasts at least 1,000 years. LongRunMIP is an MIP of opportunity in that the simulations were mostly performed prior to the conception of the archive without an agreed-upon set of experiments. For most models, the archive contains a preindustrial control simulation and simulations with an idealized (typically abrupt) CO2 forcing. We collect 2D surface and top-of-atmosphere fields and 3D ocean temperature and salinity fields. Here, we document the collection of simulations and discuss initial results, including the evolution of surface and deep ocean temperature and cloud radiative effects. As of October 2019, the collection includes 50 simulations of 15 models by 10 modeling centers. The data of LongRunMIP are publicly available. We encourage submissions of more simulations in the future.

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e-pub ahead of print date: 1 December 2019
Published date: 1 December 2019
Additional Information: Funding Information: ACKNOWLEDGMENTS. MR acknowledges support from the Swiss National Science Foundation under Grant P2EZP2_175097 and is funded by the Alexander von Humboldt Foundation. TA was supported by the Joint U.K. BEIS/Defra Met Office Hadley Centre Climate Programme (GA01101). NCAR is a major facility sponsored by the U.S. National Science Foundation under Cooperative Agreement 1852977. TLF acknowledges support from the Swiss National Science Foundation under Grant PP00P2_170687, from the European Union’s Horizon 2020 research and innovation program under Grant Agreement 821003 (CCiCC), and from the Swiss National Supercomputing Centre (CSCS). CL was supported through the Clusters of Excellence CliSAP (EXC177) and CLICCS (EXC2037), University Hamburg, funded through the German Research Foundation (DFG). SY was partly supported by European Research Council under the European Community’s Seventh Framework Programme (FP7/20072013)/ERC Grant Agreement 610055 as part of the ice2ice project. This work was made possible for IPSL thanks to the HPC resources of TGCC and IDRIS made available by GENCI (Grand Equipement National de Calcul Intensif), CEA (Commissariat à l’Energie Atomique et aux Energies Alternatives), and CNRS (Centre National de la Recherche Scientifique) (Project 016178). Publisher Copyright: © 2019 American Meteorological Society

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Local EPrints ID: 437848
URI: http://eprints.soton.ac.uk/id/eprint/437848
ISSN: 0003-0007
PURE UUID: f666fa45-a4eb-4cdd-bdcb-b1a361249469

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Date deposited: 20 Feb 2020 17:30
Last modified: 17 Mar 2024 05:18

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Contributors

Author: Maria Rugenstein
Author: Jonah Bloch-johnson
Author: Ayako Abe-ouchi
Author: Timothy Andrews
Author: Urs Beyerle
Author: Long Cao
Author: Tarun Chadha
Author: Gokhan Danabasoglu
Author: Jean-louis Dufresne
Author: Lei Duan
Author: Marie-alice Foujols
Author: Thomas Frölicher
Author: Olivier Geoffroy
Author: Jonathan Gregory
Author: Reto Knutti
Author: Chao Li
Author: Alice Marzocchi
Author: Thorsten Mauritsen
Author: Matthew Menary
Author: Elisabeth Moyer
Author: Larissa Nazarenko
Author: David Paynter
Author: David Saint-martin
Author: Gavin A. Schmidt
Author: Akitomo Yamamoto
Author: Shuting Yang

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