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DOI for 'CMIP6.ScenarioMIP.MIROC.MIROC6'

doi:10.22033/ESGF/CMIP6.898

Name
CMIP6.ScenarioMIP.MIROC.MIROC6
Abstract
Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets.
These data include all datasets published for 'CMIP6.ScenarioMIP.MIROC.MIROC6' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'.

The MIROC6 climate model, released in 2017, includes the following components:
aerosol: SPRINTARS6.0, atmos: CCSR AGCM (T85; 256 x 128 longitude/latitude; 81 levels; top level 0.004 hPa), land: MATSIRO6.0, ocean: COCO4.9 (tripolar primarily 1deg; 360 x 256 longitude/latitude; 63 levels; top grid cell 0-2 m), seaIce: COCO4.9.
The model was run by the JAMSTEC (Japan Agency for Marine-Earth Science and Technology, Kanagawa 236-0001, Japan), AORI (Atmosphere and Ocean Research Institute, The University of Tokyo, Chiba 277-8564, Japan), NIES (National Institute for Environmental Studies, Ibaraki 305-8506, Japan), and R-CCS (RIKEN Center for Computational Science, Hyogo 650-0047, Japan) (MIROC) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, land: 250 km, ocean: 100 km, seaIce: 100 km.

Project: These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6).

CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ).

The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. - Project website: https://pcmdi.llnl.gov/CMIP6.
Subjects
CMIP6.ScenarioMIP.MIROC.MIROC6 (DRS: http://github.com/WCRP-CMIP/CMIP6_CVs)
CMIP6
climate
Rights
Creative Commons Attribution 4.0 International License (CC BY 4.0)
License
CMIP6 model data is evolving, new versions are added when datasets are changed or additions are made. Cite this data collection according to the Data Citation Guidelines (http://bit.ly/2gBCuqM) and be sure to include the version number (e.g. v20210101). Individuals using the data must abide by terms of use for CMIP6 data (https://pcmdi.llnl.gov/CMIP6/TermsOfUse). The original license restrictions on these datasets were recorded as global attributes in the data files, but these may have been subsequently updated. - Here is the history of licenses governing these datasets: 2018-12-12: initially published under CC BY-SA 4.0; 2022-06-10: relaxed to CC BY 4.0
Contacts
Shiogama, Hideo
 shiogama.hideo@nullnies.go.jp

Cite as
Shiogama, Hideo; Abe, Manabu; Tatebe, Hiroaki (2019). MIROC MIROC6 model output prepared for CMIP6 ScenarioMIP. Version YYYYMMDD[1].Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.898

BibTeX RIS
[1] Please use the latest dataset version or if not available the latest data download date as version in your data citation.

Data Access

https://esgf-data.dkrz.de/search/cmip6-dkrz/?mip_era=CMIP6&activity_id=ScenarioMIP&institution_id=MIROC&source_id=MIROC6
http://esgf-node.llnl.gov/search/cmip6/?mip_era=CMIP6&activity_id=ScenarioMIP&institution_id=MIROC&source_id=MIROC6

Related Data

MIROC MIROC6 model output prepared for CMIP6 ScenarioMIP ssp119
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#NamePIDAffiliation
1Shiogama, Hideo-National Institute for Environmental Studies
2Abe, Manabu-Japan Agency for Marine-Earth Science and Technology
3Tatebe, Hiroaki-Japan Agency for Marine-Earth Science and Technology
#NamePIDAffiliation
1Tatebe, Hiroaki-Japan Agency for Marine-Earth Science and Technology
2Ogura, Tomoo-National Institute for Environmental Studies
3Nitta, Tomoko-Atmosphere and Ocean Research Institute, the University of Tokyo
4Komuro, Yoshiki-Japan Agency for Marine-Earth Science and Technology
5Ogochi, Koji-Japan Agency for Marine-Earth Science and Technology
6Takemura, Toshihiko-Research Institute for Applied Mechanics, Kyushu University
7Sudo, Kengo-Graduate School of Environmental Studies, Nagoya University
8Sekiguchi, Miho-Tokyo University of Marine Science and Technology
9Abe, Manabu-Japan Agency for Marine-Earth Science and Technology
10Saito, Fuyuki-Japan Agency for Marine-Earth Science and Technology
11Chikira, Minoru-Atmosphere and Ocean Research Institute, the University of Tokyo
12Watanabe, Shingo-Japan Agency for Marine-Earth Science and Technology
13Mori, Masato-Research Center for Advanced Science and Technology, The University of Tokyo
14Hirota, Nagio-National Institute for Environmental Studies
15Kawatani, Yoshio-Japan Agency for Marine-Earth Science and Technology
16Mochizuki, Takashi-Japan Agency for Marine-Earth Science and Technology
17Yoshimura, Kei-Atmosphere and Ocean Research Institute, the University of Tokyo
18Takata, Kumiko-National Institute for Environmental Studies
19O'ishi, Ryouta-Atmosphere and Ocean Research Institute, the University of Tokyo
20Yamazaki, Dai-Institute of Industrial Science, the University of Tokyo
21Suzuki, Tatsuo-Japan Agency for Marine-Earth Science and Technology
22Kurogi, Masao-Japan Agency for Marine-Earth Science and Technology
23Kataoka, Takahito-Japan Agency for Marine-Earth Science and Technology
24Watanabe, Masahiro-Atmosphere and Ocean Research Institute, the University of Tokyo
25Kimoto, Masahide-Atmosphere and Ocean Research Institute, the University of Tokyo
References  Description and basic evaluation of simulated mean state, internal variability, and climate sensitivity in MIROC6. Tatebe, Hiroaki; Ogura, Tomoo; Nitta, Tomoko; Komuro, Yoshiki; Ogochi, Koji; Takemura, Toshihiko; Sudo, Kengo; Sekiguchi, Miho; Abe, Manabu; Saito, Fuyuki; Chikira, Minoru; Watanabe, Shingo; Mori, Masato; Hirota, Nagio; Kawatani, Yoshio; Mochizuki, Takashi; Yoshimura, Kei; Takata, Kumiko; O'ishi, Ryouta; Yamazaki, Dai; Suzuki, Tatsuo; Kurogi, Masao; Kataoka, Takahito; Watanabe, Masahiro; Kimoto, Masahide. DOI:10.5194/gmd-2018-155
References  Description and basic evaluation of simulated mean state, internal variability, and climate sensitivity in MIROC6. Tatebe, Hiroaki; Ogura, Tomoo; Nitta, Tomoko; Komuro, Yoshiki; Ogochi, Koji; Takemura, Toshihiko; Sudo, Kengo; Sekiguchi, Miho; Abe, Manabu; Saito, Fuyuki; Chikira, Minoru; Watanabe, Shingo; Mori, Masato; Hirota, Nagio; Kawatani, Yoshio; Mochizuki, Takashi; Yoshimura, Kei; Takata, Kumiko; O'ishi, Ryouta; Yamazaki, Dai; Suzuki, Tatsuo; Kurogi, Masao; Kataoka, Takahito; Watanabe, Masahiro; Kimoto, Masahide. DOI:10.5194/gmd-12-2727-2019
IsSourceOf  Secondary ISIMIP3b bias-adjusted atmospheric climate input data. Lange, Stefan; Büchner, Matthias. DOI:10.48364/isimip.581124.1
IsSourceOf  Secondary ISIMIP3b bias-adjusted atmospheric climate input data. Lange, Stefan; Büchner, Matthias. DOI:10.48364/isimip.581124
IsCitedBy  Ocean, Cryosphere and Sea Level Change. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Fox-Kemper, B.; Hewitt, H.T.; Xiao, C.; Aðalgeirsdóttir, G.; Drijfhout, S.S.; Edwards, T.L.; Golledge, N.R.; Hemer, M.; Kopp, R.E.; Krinner, G.; Mix, A.; Notz, D.; Nowicki, S.; Nurhati, I.S.; Ruiz, L.; Sallée, J.-B.; Slangen, A.B.A.; Yu, Y.. DOI:10.1017/9781009157896.011
IsCitedBy  Future Global Climate: Scenario-Based Projections and Near-Term Information. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Lee, J.-Y.; Marotzke, J.; Bala, G.; Cao, L.; Corti, S.; Dunne, J.P.; Engelbrecht, F.; Fischer, E.; Fyfe, J.C; Jones, C.; Maycock, A.; Mutemi, J.; Ndiaye, O.; Panickal, S.; Zhou,T.. DOI:10.1017/9781009157896.006
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IsCitedBy  Atlas. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Gutiérrez, J.M.; Jones, R.G.; Narisma, G.T.; Alves, L.M.; Amjad, M.; Gorodetskaya, I.V.; Grose, M.; Klutse, N.A.B.; Krakovska, S.; Li, J.; Martínez-Castro, D.; Mearns, L.O.; Mernild, S.H.; Ngo-Duc, T.; van den Hurk, B.; Yoon, J.-H.. DOI:10.1017/9781009157896.021
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IsReferencedBy  Reply on RC2. Lalande, Mickaël. DOI:10.5194/esd-2021-43-ac2
IsReferencedBy  Historical and Projected Trends of the Mean Surface Temperature in South-Southeast Mexico Using ERA5 and CMIP6. Andrade-Velázquez, Mercedes; Montero-Martínez, Martín José. DOI:10.3390/cli11050111