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| MIROC | |
|---|---|
| Name | MIROC |
| Developer | National Institute for Environmental Studies, Japan Agency for Marine-Earth Science and Technology, University of Tokyo |
| First release | 2000 |
| Latest release | 2010s series |
| Programming language | Fortran |
| Platform | Supercomputers, High-performance computing clusters |
| License | Research use |
MIROC
MIROC is a family of coupled climate models developed by Japanese institutions to simulate climate change, paleoclimate variability, and present-day climate processes. The effort links researchers from the National Institute for Environmental Studies, Japan Agency for Marine-Earth Science and Technology, and the University of Tokyo to produce model versions used in international assessments by the Intergovernmental Panel on Climate Change and coordinated experiments under the Coupled Model Intercomparison Project. MIROC outputs have been incorporated into studies informing regional impact assessments, global temperature projections, and attribution analyses associated with events like the 2003 European heat wave.
MIROC is a coupled atmosphere–ocean general circulation model combining atmospheric, oceanic, land surface, and sea-ice components to represent Earth system dynamics. It has contributed to multi-model ensembles alongside models such as HadGEM, GFDL CM3, CCSM4, MPI-ESM, and EC-Earth, providing simulated variables for shared experiments in CMIP3, CMIP5, and CMIP6 phases. The model suite has been used in studies linked to AR4, AR5, and regional projections for the Asia-Pacific Economic Cooperation region, influencing assessments by agencies like the Ministry of the Environment (Japan).
Development of MIROC began in the late 1990s with initial releases around 2000 and matured through successive versions such as MIROC3, MIROC4h, MIROC5, and experimental high-resolution configurations. Each iteration incorporated improvements motivated by intercomparison results from groups including the World Climate Research Programme, Working Group on Coupled Modelling, and collaboration with centers like JAMSTEC and the Meteorological Research Institute. Version changes addressed shortcomings identified in multi-model comparisons during panels at venues like the American Geophysical Union and the European Geosciences Union meetings, leading to parameterization updates and resolution increases used in IPCC assessment cycles.
The atmospheric component of MIROC uses dynamical cores and physical parameterizations developed in collaboration with groups from the University of Tokyo; it includes radiation schemes that reference forcings from Aerosol Radiative Forcing studies and stratospheric processes examined by teams at NOAA. Ocean dynamics in MIROC derive from primitive-equation solvers with representations of thermohaline circulation relevant to research on the Kuroshio Current, El Niño–Southern Oscillation, and global overturning circulation investigated by the Scripps Institution of Oceanography. The land surface module couples vegetation and hydrology informed by studies from the Max Planck Institute for Biogeochemistry and incorporates soil physics comparable to schemes used by LSM developers. Sea-ice physics follow formulations tested against observations from the Arctic Monitoring and Assessment Programme and Antarctic research programs.
MIROC simulations have been used to assess future temperature and precipitation changes under Representative Concentration Pathways and Shared Socioeconomic Pathways, to attribute extreme events like the 2010 Russian heat wave, and to study feedbacks between carbon cycle processes and climate reported in collaborations with the International Geosphere-Biosphere Programme. Regional downscaling using MIROC output supported impact studies for the Asia-Pacific region, including projections for the East Asian monsoon system and sea-level rise implications for the Tokyo Bay metropolitan area. Results from MIROC have contributed to detection and attribution studies alongside datasets from the Hadley Centre, NOAA National Centers for Environmental Prediction, and the European Centre for Medium-Range Weather Forecasts.
MIROC's skill has been evaluated through comparisons with observations from networks like the Global Historical Climatology Network, satellite products from NASA, and reanalyses such as ERA-Interim. In multi-model ensembles MIROC often shows competitive performance for large-scale patterns of surface temperature and precipitation, while exhibiting biases in tropical climatology and regional rainfall features noted in evaluations by the Intergovernmental Panel on Climate Change and peer-reviewed assessments in journals like Journal of Climate and Geophysical Research Letters. Metric-based evaluations leverage frameworks developed by the Program for Climate Model Diagnosis and Intercomparison and metrics from the PAGES community for paleoclimate comparisons.
MIROC typically runs on high-performance computing platforms including systems at JAMSTEC Supercomputer, national supercomputer centers, and institutional clusters at the University of Tokyo. Implementations require parallel Fortran compilation with MPI libraries and scalable I/O libraries used in projects at Oak Ridge National Laboratory and Argonne National Laboratory. High-resolution configurations demand substantial node counts and storage throughput comparable to other large coupled models used in CMIP6 experiments, with pre- and post-processing workflows connected to tools maintained by the Earth System Grid Federation.
Critiques of MIROC mirror broader model-system challenges: regional biases in precipitation and tropical variability, limitations in coupled carbon–climate feedback representation compared with dedicated Earth System Models like HadGEM3-ES, and computational cost constraints that limit ensemble sizes relative to ideal sampling in studies promoted by the National Academies of Sciences, Engineering, and Medicine. Specific limitations include underrepresentation of mesoscale processes relevant for tropical cyclones and simplified treatment of some aerosol–cloud interactions critiqued in reviews from the Intergovernmental Panel on Climate Change.
Category:Climate models