[ Derived from parent entry - See data hierarchy tab ] These data include the subset used by IPCC AR6 WGI authors of the datasets originally published in ESGF for 'CMIP6.AerChemMIP.MIROC.MIROC6.histSST-piAer' 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.
[ Derived from parent entry - See data hierarchy tab ]
Takemura, Toshihiko (2023). IPCC DDC: MIROC MIROC6 model output prepared for CMIP6 AerChemMIP. World Data Center for Climate (WDCC) at DKRZ. https://doi.org/10.26050/WDCC/AR6.C6ACMIMI
[2] IPCC. (2023). Figure 6.11 | Time evolution of 20-year multi-model mean averages of
the annual area-weighted mean regional net effective radiative forcings
(ERFs) due to aerosols for each of the 14 major regions in the Atlas, and
global mean, using the models and model experiments as in Figure 6.10. In IPCC, 2023: Chapter 6. https://www.ipcc.ch/report/ar6/wg1/figures/chapter-6/figure-6-11