These data include all datasets published for 'CMIP6.OMIP.CMCC.CMCC-CM2-SR5.omip1' 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 CMCC-CM2-SR5 climate model, released in 2016, includes the following components: aerosol: MAM3, atmos: CAM5.3 (1deg; 288 x 192 longitude/latitude; 30 levels; top at ~2 hPa), land: CLM4.5 (BGC mode), ocean: NEMO3.6 (ORCA1 tripolar primarly 1 deg lat/lon with meridional refinement down to 1/3 degree in the tropics; 362 x 292 longitude/latitude; 50 vertical levels; top grid cell 0-1 m), seaIce: CICE4.0. The model was run by the Fondazione Centro Euro-Mediterraneo sui Cambiamenti Climatici, Lecce 73100, Italy (CMCC) in native nominal resolutions: aerosol: 100 km, atmos: 100 km, land: 100 km, ocean: 100 km, seaIce: 100 km. 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.
Fogli, Pier Giuseppe; Iovino, Doroteaciro; Lovato, Tomas (2023). CMCC CMCC-CM2-SR5 model output prepared for CMIP6 OMIP omip1. World Data Center for Climate (WDCC) at DKRZ. https://www.wdc-climate.de/ui/entry?acronym=C6_4370529
[1] DOIFogli, Pier Giuseppe; Iovino, Doroteaciro; Lovato, Tomas. (2020). CMCC CMCC-CM2-SR5 model output prepared for CMIP6 OMIP omip1. doi:10.22033/ESGF/CMIP6.13230
Is referenced by
[1] DOIDike, Victor Nnamdi; Lin, Zhaohui; Fei, Kece; Langendijk, Gaby S.; Nath, Debashis. (2022). Evaluation and multimodel projection of seasonal precipitation extremes over central Asia based on CMIP6 simulations. doi:10.1002/joc.7641
[2] DOIBustos Usta, David Francisco; Torres Parra, Rafael Ricardo. (2022). Projected wind changes in the Caribbean Sea based on CMIP6 models. doi:10.1007/s00382-022-06535-3