Articles | Volume 14, issue 6
https://doi.org/10.5194/esd-14-1107-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/esd-14-1107-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
07 Nov 2023
Research article |
| 07 Nov 2023
| 07 Nov 2023
MIROC6 Large Ensemble (MIROC6-LE): experimental design and initial analyses
Earth System Division, National Institute for Environmental Studies, Tsukuba, 305-8506, Japan
Hiroaki Tatebe
Japan Agency for Marine-Earth Science and Technology, Yokohama, 236-0001, Japan
Michiya Hayashi
Earth System Division, National Institute for Environmental Studies, Tsukuba, 305-8506, Japan
Manabu Abe
Japan Agency for Marine-Earth Science and Technology, Yokohama, 236-0001, Japan
Miki Arai
Atmosphere and Ocean Research Institute, University of Tokyo, Kashiwa, 277-8564, Japan
Hiroshi Koyama
Japan Agency for Marine-Earth Science and Technology, Yokohama, 236-0001, Japan
Yukiko Imada
Atmosphere and Ocean Research Institute, University of Tokyo, Kashiwa, 277-8564, Japan
Yu Kosaka
Research Center for Advanced Science and Technology, University of Tokyo, Tokyo, 153-8904, Japan
Tomoo Ogura
Earth System Division, National Institute for Environmental Studies, Tsukuba, 305-8506, Japan
Masahiro Watanabe
Atmosphere and Ocean Research Institute, University of Tokyo, Kashiwa, 277-8564, Japan
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- Models and observations agree on fewer and milder midlatitude cold extremes even over recent decades of rapid Arctic warming R. Blackport et al. https://doi.org/10.1126/sciadv.adp1346
- Quantifying the state-dependent causal effect of Barents–Kara Sea ice loss on the stratospheric polar vortex in a large ensemble simulation X. Shen et al. https://doi.org/10.1007/s00382-025-07802-9
- Large-ensemble assessment of the Arctic stratospheric polar vortex morphology and disruptions A. Kuchar et al. https://doi.org/10.5194/wcd-5-895-2024
- Explainable El Niño predictability from climate mode interactions S. Zhao et al. https://doi.org/10.1038/s41586-024-07534-6
- The role of atmospheric circulation changes in Western European warm season heat extremes D. Noest et al. https://doi.org/10.5194/wcd-7-439-2026
- Observable polar and Atlantic sea surface salinity trends have emerged, while the noisy Indo-Pacific hesitates D. Schneider et al. https://doi.org/10.1088/2752-5295/ae065b
- Integration of FuzzyAHP and machine learning algorithms for climate-driven gully erosion susceptibility mapping: predicting future trends in the eastern lateritic region, West Bengal, India C. Singha et al. https://doi.org/10.1007/s12303-024-0045-x
- Revisiting the surface impacts of the QBO in the Large Ensemble Single Forcing MIP simulations: are teleconnections still too weak? C. Garfinkel et al. https://doi.org/10.5194/wcd-7-1133-2026
- Seasonality and scenario dependence of rapid Arctic sea ice loss events in CMIP6 simulations A. Sticker et al. https://doi.org/10.5194/tc-19-3259-2025
- STRATOSPHERIC AEROSOL SOURCE INVERSION: NOISE, VARIABILITY, AND UNCERTAINTY QUANTIFICATION J. Hart et al. https://doi.org/10.1615/JMachLearnModelComput.2024056144
- Genetic Structure and Population History of the Zaisan Toad-Headed Agama (Phrynocephalus melanurus) Inferred from Mitochondrial DNA D. Ualiyeva et al. https://doi.org/10.3390/ani14020209
- A perspective on the next generation of Earth system model scenarios: towards representative emission pathways (REPs) M. Meinshausen et al. https://doi.org/10.5194/gmd-17-4533-2024
- Attribution of extremes to greenhouse gas-induced changes in regional climate variability, distinct from changes in mean climate A. Barkhordarian https://doi.org/10.1088/1748-9326/ad715a
- Reduction of the uncertainty of flood projection under a future climate by focusing on similarities among multiple SSP-RCP scenarios Y. Kimura et al. https://doi.org/10.1038/s41598-025-16327-4
- Important distinctiveness of SSP3–7.0 for use in impact assessments H. Shiogama et al. https://doi.org/10.1038/s41558-023-01883-2
- Unusually weak signal of summer surface air temperature change over North China F. Cheng et al. https://doi.org/10.1002/joc.8413
- Assessing Climate Change Impact on Habitat Suitability and Ecological Connectivity of Wych Elm (Ulmus glabra Huds.) in Türkiye B. Ar et al. https://doi.org/10.3390/f15111894
- Range-Wide Phylogeography and Ecological Niche Modeling Provide Insights into the Evolutionary History of the Mongolian Racerunner (Eremias argus) in Northeast Asia L. Tian et al. https://doi.org/10.3390/ani14071124
- The Detection and Attribution Model Intercomparison Project (DAMIP v2.0) contribution to CMIP7 N. Gillett et al. https://doi.org/10.5194/gmd-18-4399-2025
- Unraveling non-monotonic responses of the El Niño–Southern Oscillation to post-2100 global warming M. Hayashi et al. https://doi.org/10.1038/s41612-026-01375-y
- Should we think of observationally constrained multidecade climate projections as predictions? T. Li et al. https://doi.org/10.1126/sciadv.adt6485
- Identification of Restoration Pathways for the Climate Adaptation of Wych Elm (Ulmus glabra Huds.) in Türkiye D. Gülçin et al. https://doi.org/10.3390/land14071391
- Changes in event soil moisture-temperature coupling can intensify very extreme heat beyond expectations D. Maraun et al. https://doi.org/10.1038/s41467-025-56109-0
- Future precipitation projections and model evaluation in the Hengduan Mountains based on CMIP6 Z. Hu et al. https://doi.org/10.1016/j.jenvman.2025.125378
- Large Ensemble Simulations of Climate Models for Climate Change Research: A Review P. Lin et al. https://doi.org/10.1007/s00376-024-4012-2
- The winter North Atlantic Oscillation downstream teleconnection: insights from large-ensemble climate model simulations S. Lau et al. https://doi.org/10.1088/1748-9326/ade4dc
Saved (final revised paper)
Latest update: 10 Sep 2026
Short summary
We produced one of the largest single model initial-condition ensembles thus far using the MIROC6 coupled atmosphere–ocean global climate model (MIROC6-LE). MIROC6-LE includes historical simulations, eight single forcing historical experiments, five future scenario experiments and three single forcing future experiments with 10- or 50-ensemble members. We describe the experimental design and show initial analyses. This dataset would be useful to a wide range of research communities.
We produced one of the largest single model initial-condition ensembles thus far using the...
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