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...

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Published in:Bulletin of the American Meteorological Society
Main Authors: 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, Yang, Shuting
Format: Article in Journal/Newspaper
Language:English
Published: 2019
Subjects:
Online Access:https://eprints.soton.ac.uk/437848/
https://eprints.soton.ac.uk/437848/1/bams_d_19_0068.1.pdf
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spelling ftsouthampton:oai:eprints.soton.ac.uk:437848 2023-07-30T04:06:47+02:00 LongRunMIP: Motivation and design for a large collection of millennial-length AOGCM simulations 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 Yang, Shuting 2019-12-01 text https://eprints.soton.ac.uk/437848/ https://eprints.soton.ac.uk/437848/1/bams_d_19_0068.1.pdf en English eng https://eprints.soton.ac.uk/437848/1/bams_d_19_0068.1.pdf 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 <http://dx.doi.org/10.1175/BAMS-D-19-0068.1>). other Article PeerReviewed 2019 ftsouthampton https://doi.org/10.1175/BAMS-D-19-0068.1 2023-07-09T22:34:29Z 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. Article in Journal/Newspaper Sea ice University of Southampton: e-Prints Soton Bulletin of the American Meteorological Society 100 12 2551 2570
institution Open Polar
collection University of Southampton: e-Prints Soton
op_collection_id ftsouthampton
language English
description 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.
format Article in Journal/Newspaper
author 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
Yang, Shuting
spellingShingle 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
Yang, Shuting
LongRunMIP: Motivation and design for a large collection of millennial-length AOGCM simulations
author_facet 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
Yang, Shuting
author_sort Rugenstein, Maria
title LongRunMIP: Motivation and design for a large collection of millennial-length AOGCM simulations
title_short LongRunMIP: Motivation and design for a large collection of millennial-length AOGCM simulations
title_full LongRunMIP: Motivation and design for a large collection of millennial-length AOGCM simulations
title_fullStr LongRunMIP: Motivation and design for a large collection of millennial-length AOGCM simulations
title_full_unstemmed LongRunMIP: Motivation and design for a large collection of millennial-length AOGCM simulations
title_sort longrunmip: motivation and design for a large collection of millennial-length aogcm simulations
publishDate 2019
url https://eprints.soton.ac.uk/437848/
https://eprints.soton.ac.uk/437848/1/bams_d_19_0068.1.pdf
genre Sea ice
genre_facet Sea ice
op_relation https://eprints.soton.ac.uk/437848/1/bams_d_19_0068.1.pdf
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 <http://dx.doi.org/10.1175/BAMS-D-19-0068.1>).
op_rights other
op_doi https://doi.org/10.1175/BAMS-D-19-0068.1
container_title Bulletin of the American Meteorological Society
container_volume 100
container_issue 12
container_start_page 2551
op_container_end_page 2570
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