IPCC DDC: MIROC MIROC6 model output prepared for CMIP6 ScenarioMIP ssp585

Shiogama, Hideo; Abe, Manabu; Tatebe, Hiroaki

climate change CMIP6 IPCC IPCC-AR6 IPCC-DDC MIROC MIROC6 ScenarioMIP ssp585

Summary: These data include the subset used by IPCC AR6 WGI authors of the datasets originally published in ESGF for 'CMIP6.ScenarioMIP.MIROC.MIROC6.ssp585' 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: IPCC-AR6_CMIP6 (Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets)
Contact: Dr. Hideo Shiogama (
shiogama.hideo@nullnies.go.jp
)
Location(s): global
Spatial Coverage: Longitude 0 to 360 Latitude -90 to 90
Temporal Coverage: 2015-01-01 to 2101-01-01 (gregorian)
Use constraints: Creative Commons Attribution 4.0 International (CC BY 4.0) (https://creativecommons.org/licenses/by/4.0/)
Data Catalog: World Data Center for Climate
Size: 306.03 GiB (328601278023 Byte)
Format: NetCDF
Status: completely archived
Creation Date: 2019-06-27
Future Review Date: 2032-06-23

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Cite as: Shiogama, Hideo; Abe, Manabu; Tatebe, Hiroaki (2023). IPCC DDC: MIROC MIROC6 model output prepared for CMIP6 ScenarioMIP ssp585. World Data Center for Climate (WDCC) at DKRZ. https://doi.org/10.26050/WDCC/AR6.C6SPMIMIs585

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Scientific Quality Assurance (SQA)

assessed by IPCC WGI AR6 authors

Description: assessed by IPCC WGI AR6 authors
Method: IPCC Assessment
Method Description: The data was part of a formal IPCC assessment conducted by the IPCC authors.
Method Url: https://www.ipcc.ch/about/preparingreports/

Technical Quality Assurance (TQA)

TQA - Technical Quality Assurance "approved by WDCC"

Description: All TQA checks were passed for CMIP6 ScenarioMIP MIROC MIROC6 ssp585.
Method: CMIP6-TQA Checks
Method Description: Checks performed by WDCC. CMIP6-TQA metrics are documented: https://redmine.dkrz.de/projects/cmip6-lta-and-data-citation/wiki/Quality_Checks
Method Url: https://redmine.dkrz.de/projects/cmip6-lta-and-data-citation/wiki/Quality_Checks
Result Date: 2023-06-19

Contact type	Person	ORCID	Organization
Contact	Dr. Hideo Shiogama	-	National Institute for Environmental Studies
Author	Dr. Hideo Shiogama	-	National Institute for Environmental Studies
Author	Dr. Manabu Abe	-	Japan Agency for Marine-Earth Science and Technology
Author	Dr. Hiroaki Tatebe	-	Japan Agency for Marine-Earth Science and Technology
Other	Dr. Hiroaki Tatebe	-	Japan Agency for Marine-Earth Science and Technology
Other	Dr. Tomoo Ogura	-	National Institute for Environmental Studies
Other	Dr. Tomoko Nitta	-	Atmosphere and Ocean Research Institute, the University of Tokyo
Other	Dr. Yoshiki Komuro	-	Japan Agency for Marine-Earth Science and Technology
Other	Dr. Koji Ogochi	-	Japan Agency for Marine-Earth Science and Technology
Other	Dr. Toshihiko Takemura	-	Research Institute for Applied Mechanics, Kyushu University
Other	Kengo Sudo	-	Graduate School of Environmental Studies, Nagoya University
Other	Dr. Miho Sekiguchi	-	Tokyo University of Marine Science and Technology
Other	Dr. Manabu Abe	-	Japan Agency for Marine-Earth Science and Technology
Other	Dr. Fuyuki Saito	-	Japan Agency for Marine-Earth Science and Technology
Other	Dr. Minoru Chikira	-	Atmosphere and Ocean Research Institute, the University of Tokyo
Other	Dr. Shingo Watanabe	-	Japan Agency for Marine-Earth Science and Technology
Other	Dr. Masato Mori	-	Research Center for Advanced Science and Technology, The University of Tokyo
Other	Dr. Nagio Hirota	-	National Institute for Environmental Studies
Other	Dr. Yoshio Kawatani	-	Japan Agency for Marine-Earth Science and Technology
Other	Dr. Takashi Mochizuki	-	Japan Agency for Marine-Earth Science and Technology
Other	Kei Yoshimura	-	Atmosphere and Ocean Research Institute, the University of Tokyo
Other	Dr. Kumiko Takata	-	National Institute for Environmental Studies
Other	Dr. Ryouta O'ishi	-	Atmosphere and Ocean Research Institute, the University of Tokyo
Other	Dr. Dai Yamazaki	-	Institute of Industrial Science, the University of Tokyo
Other	Dr. Tatsuo Suzuki	-	Japan Agency for Marine-Earth Science and Technology
Other	Dr. Masao Kurogi	-	Japan Agency for Marine-Earth Science and Technology
Other	Dr. Takahito Kataoka	-	Japan Agency for Marine-Earth Science and Technology
Other	Prof. Masahiro Watanabe	-	Atmosphere and Ocean Research Institute, the University of Tokyo
Other	Prof. Masahide Kimoto	-	Atmosphere and Ocean Research Institute, the University of Tokyo

Cites

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Is part of

[1] DOI Shiogama, Hideo; Abe, Manabu; Tatebe, Hiroaki. (2019). MIROC MIROC6 model output prepared for CMIP6 ScenarioMIP ssp585. doi:10.22033/ESGF/CMIP6.5771

[2] DOI Shiogama, Hideo; Abe, Manabu; Tatebe, Hiroaki. (2023). IPCC DDC: MIROC MIROC6 model output prepared for CMIP6 ScenarioMIP. doi:10.26050/WDCC/AR6.C6SPMIMI

Is referenced by

[1] DOI Ono, Jun; Watanabe, Masahiro; Komuro, Yoshiki; Tatebe, Hiroaki; Abe, Manabu. (2022). Enhanced Arctic warming amplification revealed in a low-emission scenario. doi:10.1038/s43247-022-00354-4

[2] DOI Cai, Wenju; Yang, Kai; Wu, Lixin; Huang, Gang; Santoso, Agus; Ng, Benjamin; Wang, Guojian; Yamagata, Toshio. (2020). Opposite response of strong and moderate positive Indian Ocean Dipole to global warming. doi:10.1038/s41558-020-00943-1

[3] DOI Langan, Joseph A.; Bell, Richard J.; Collie, Jeremy S. (2022). Taking stock: Is recovery of a depleted population possible in a changing climate?. doi:10.1111/fog.12599

[4] DOI Dahlke, Flemming T.; Wohlrab, Sylke; Butzin, Martin; Pörtner, Hans-Otto. (2020). Thermal bottlenecks in the life cycle define climate vulnerability of fish. doi:10.1126/science.aaz3658

[5] DOI Akinsanola, Akintomide Afolayan; Ogunjobi, Kehinde O; Abolude, Akintayo T; Salack, Seyni. (2021). Projected changes in wind speed and wind energy potential over West Africa in CMIP6 models. doi:10.1088/1748-9326/abed7a

[6] DOI Sung, Jang Hyun; Seo, Seung Beom; Ryu, Young. (2022). Deep Learning-Based Projection of Occurrence Frequency of Forest Fires under SSP Scenario: Exploring the Link between Drought Characteristics and Forest Fires. doi:10.3390/su14095494

References

[1] DOI 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&apos;ishi, Ryouta; Yamazaki, Dai; Suzuki, Tatsuo; Kurogi, Masao; Kataoka, Takahito; Watanabe, Masahiro; Kimoto, Masahide. (2018). Description and basic evaluation of simulated mean state, internal variability, and climate sensitivity in MIROC6. doi:10.5194/gmd-2018-155

[2] DOI 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. (1900). Description and basic evaluation of simulated mean state, internal variability, and climate sensitivity in MIROC6. doi:10.5194/gmd-12-2727-2019

Is related to

[1] DOI Thompson, Marten; Braverman, Amy; Chatterjee, Snigdhansu. (2022). A dependent multimodel approach to climate prediction with Gaussian processes. doi:10.1017/eds.2022.24

Parent

CMIP6 ScenarioMIP MIROC MIROC6

Details

Attached Datasets ( 310 )

Details for selected entry

Parent project(s)

Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets

CMIP6 ScenarioMIP MIROC MIROC6 ssp585

doi:10.26050/WDCC/AR6.C6SPMIMIs585

Shiogama, Hideo; Abe, Manabu; Tatebe, Hiroaki