Longrunmip motivation and design for a large collection of millennial-length AOGCM simulations

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

doi:10.1175/BAMS-D-19-0068.1

Longrunmip motivation and design for a large collection of millennial-length AOGCM simulations

Maria Rugenstein
, Jonah Bloch-Johnson
, Ayako Abe-Ouchi
, Timothy Andrews
, Urs Beyerle
, Long Cao
, Tarun Chadha
, Gokhan Danabasoglu
, Jean Louis Dufresne
, Lei Duan
, Marie Alice Foujols
, Thomas Frölicher
, Olivier Geoffroy
, Jonathan Gregory
, Reto Knutti
, Chao Li
, Alice Marzocchi
, Thorsten Mauritsen
, Matthew Menary
, Elisabeth Moyer

Larissa Nazarenko, David Paynter, David Saint-Martin, Gavin A. Schmidt, Akitomo Yamamoto, Shuting Yang

Max Planck Institute for Meteorology
University of Reading
University of Tokyo
Now at Met Office Hadley Centre
ETH Zurich
School of Earth Sciences, Zhejiang University
National Center for Atmospheric Research
Sorbonne Université
University of Bern
Université Paul Sabatier
National Oceanography Centre Southampton
Stockholm University
University of Chicago
NASA Goddard Institute for Space Studies
National Oceanic and Atmospheric Administration
JAMSTEC
Now at Danish Meteorological Institute

Research output: Contribution to journal › Article › peer-review

Abstract

LongRunMIP is the first collection of millennial-length simulations of complex coupled climate models and enables investigations of how these models equilibrate in response to radiative perturbations.

Original language	English
Pages (from-to)	2551-2569
Number of pages	19
Journal	Bulletin of the American Meteorological Society
Volume	100
Issue number	12
DOIs	https://doi.org/10.1175/BAMS-D-19-0068.1
Publication status	Published - 1 Jan 2019

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This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 13 Climate Action

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10.1175/BAMS-D-19-0068.1

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Rugenstein, M., Bloch-Johnson, J., Abe-Ouchi, A., Andrews, T., Beyerle, U., Cao, L., Chadha, T., Danabasoglu, G., Dufresne, J. L., Duan, L., Foujols, M. A., Frölicher, T., Geoffroy, O., Gregory, J., Knutti, R., Li, C., Marzocchi, A., Mauritsen, T., Menary, M., ... Yang, S. (2019). Longrunmip motivation and design for a large collection of millennial-length AOGCM simulations. Bulletin of the American Meteorological Society, 100(12), 2551-2569. https://doi.org/10.1175/BAMS-D-19-0068.1

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title = "Longrunmip motivation and design for a large collection of millennial-length AOGCM simulations",

abstract = "LongRunMIP is the first collection of millennial-length simulations of complex coupled climate models and enables investigations of how these models equilibrate in response to radiative perturbations.",

author = "Maria Rugenstein and Jonah Bloch-Johnson and Ayako Abe-Ouchi and Timothy Andrews and Urs Beyerle and Long Cao and Tarun Chadha and Gokhan Danabasoglu and Dufresne, \{Jean Louis\} and Lei Duan and Foujols, \{Marie Alice\} and Thomas Fr{\"o}licher and Olivier Geoffroy and Jonathan Gregory and Reto Knutti and Chao Li and Alice Marzocchi and Thorsten Mauritsen and Matthew Menary and Elisabeth Moyer and Larissa Nazarenko and David Paynter and David Saint-Martin and Schmidt, \{Gavin A.\} and Akitomo Yamamoto and Shuting Yang",

note = "Publisher Copyright: {\textcopyright} 2019 American Meteorological Society",

year = "2019",

month = jan,

day = "1",

doi = "10.1175/BAMS-D-19-0068.1",

language = "English",

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Rugenstein, M, Bloch-Johnson, J, Abe-Ouchi, A, Andrews, T, Beyerle, U, Cao, L, Chadha, T, Danabasoglu, G, Dufresne, JL, Duan, L, Foujols, MA, Frölicher, T, Geoffroy, O, Gregory, J, Knutti, R, Li, C, Marzocchi, A, Mauritsen, T, Menary, M, Moyer, E, Nazarenko, L, Paynter, D, Saint-Martin, D, Schmidt, GA, Yamamoto, A & Yang, S 2019, 'Longrunmip motivation and design for a large collection of millennial-length AOGCM simulations', Bulletin of the American Meteorological Society, vol. 100, no. 12, pp. 2551-2569. https://doi.org/10.1175/BAMS-D-19-0068.1

TY - JOUR

T1 - Longrunmip motivation and design for a large collection of millennial-length AOGCM simulations

AU - Rugenstein, Maria

AU - Bloch-Johnson, Jonah

AU - Abe-Ouchi, Ayako

AU - Andrews, Timothy

AU - Beyerle, Urs

AU - Cao, Long

AU - Chadha, Tarun

AU - Danabasoglu, Gokhan

AU - Dufresne, Jean Louis

AU - Duan, Lei

AU - Foujols, Marie Alice

AU - Frölicher, Thomas

AU - Geoffroy, Olivier

AU - Gregory, Jonathan

AU - Knutti, Reto

AU - Li, Chao

AU - Marzocchi, Alice

AU - Mauritsen, Thorsten

AU - Menary, Matthew

AU - Moyer, Elisabeth

AU - Nazarenko, Larissa

AU - Paynter, David

AU - Saint-Martin, David

AU - Schmidt, Gavin A.

AU - Yamamoto, Akitomo

AU - Yang, Shuting

PY - 2019/1/1

Y1 - 2019/1/1

N2 - LongRunMIP is the first collection of millennial-length simulations of complex coupled climate models and enables investigations of how these models equilibrate in response to radiative perturbations.

AB - LongRunMIP is the first collection of millennial-length simulations of complex coupled climate models and enables investigations of how these models equilibrate in response to radiative perturbations.

UR - https://www.scopus.com/pages/publications/85078910551

U2 - 10.1175/BAMS-D-19-0068.1

DO - 10.1175/BAMS-D-19-0068.1

M3 - Article

AN - SCOPUS:85078910551

SN - 0003-0007

VL - 100

SP - 2551

EP - 2569

JO - Bulletin of the American Meteorological Society

JF - Bulletin of the American Meteorological Society

IS - 12

ER -

Longrunmip motivation and design for a large collection of millennial-length AOGCM simulations

Abstract

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