Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets.
These data include all datasets published for 'CMIP6.HighResMIP.CMCC.CMCC-CM2-HR4' 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-HR4 climate model, released in 2016, includes the following components:
aerosol: prescribed MACv2-SP, atmos: CAM4 (1deg; 288 x 192 longitude/latitude; 26 levels; top at ~2 hPa), land: CLM4.5 (SP mode), ocean: NEMO3.6 (ORCA0.25 1/4 deg from the Equator degrading at the poles; 1442 x 1051 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: 25 km, seaIce: 25 km.

Project: These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6).

CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ).

The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. - Project website: https://pcmdi.llnl.gov/CMIP6.
CMIP6.HighResMIP.CMCC.CMCC-CM2-HR4 (DRS: http://github.com/WCRP-CMIP/CMIP6_CVs)
Creative Commons Attribution 4.0 International License (CC BY 4.0)
CMIP6 model data is evolving, new versions are added when datasets are changed or additions are made. Cite this data collection according to the Data Citation Guidelines (http://bit.ly/2gBCuqM) and be sure to include the version number (e.g. v20210101). 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. - Here is the history of licenses governing these datasets: 2017-07-06: initially published under CC BY-SA 4.0; 2022-06-27: relaxed to CC BY 4.0
Scoccimarro, Enrico (

Cite as
Scoccimarro, Enrico; Bellucci, Alessio; Peano, Daniele (2017). CMCC CMCC-CM2-HR4 model output prepared for CMIP6 HighResMIP. Version YYYYMMDD[1].Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1359

[1] Please use the latest dataset version or if not available the latest data download date as version in your data citation.

Data Access


Related Data

CMCC CMCC-CM2-HR4 model output prepared for CMIP6 HighResMIP control-1950

Metadata Export

1Scoccimarro, Enrico 0000-0001-7987-4744Centro Euro-Mediterraneo sui Cambiamenti Climatici
2Bellucci, Alessio 0000-0003-3766-1921Centro Euro-Mediterraneo sui Cambiamenti Climatici
3Peano, Daniele 0000-0002-6975-4447Centro Euro-Mediterraneo sui Cambiamenti Climatici
1Calò, Giuseppe-Centro Euro-Mediterraneo sui Cambiamenti Climatici
References  The typhoon-induced drying of the Maritime Continent. Scoccimarro, Enrico; Gualdi, Silvio; Bellucci, Alessio; Peano, Daniele; Cherchi, Annalisa; Vecchi, Gabriel A.; Navarra, Antonio. DOI:10.1073/pnas.1915364117