CCCma CanESM5 model output prepared for CMIP6 CFMIP

Link:
Autor/in:
Beteiligte Person:
  • Cole, Jason N.S.
Verlag/Körperschaft:
Earth System Grid Federation
Erscheinungsjahr:
2019
Medientyp:
Datensatz
Schlagworte:
  • CMIP6
  • climate
  • CMIP6.CFMIP.CCCma.CanESM5
Beschreibung:
  • Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets: These data include all datasets published for 'CMIP6.CFMIP.CCCma.CanESM5' 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 CanESM5 climate model, released in 2019, includes the following components: aerosol: interactive, atmos: CanAM5 (T63L49 native atmosphere, T63 Linear Gaussian Grid; 128 x 64 longitude/latitude; 49 levels; top level 1 hPa), atmosChem: specified oxidants for aerosols, land: CLASS3.6/CTEM1.2, landIce: specified ice sheets, ocean: NEMO3.4.1 (ORCA1 tripolar grid, 1 deg with refinement to 1/3 deg within 20 degrees of the equator; 361 x 290 longitude/latitude; 45 vertical levels; top grid cell 0-6.19 m), ocnBgchem: Canadian Model of Ocean Carbon (CMOC); NPZD ecosystem with OMIP prescribed carbonate chemistry, seaIce: LIM2. The model was run by the Canadian Centre for Climate Modelling and Analysis, Environment and Climate Change Canada, Victoria, BC V8P 5C2, Canada (CCCma) in native nominal resolutions: aerosol: 500 km, atmos: 500 km, atmosChem: 500 km, land: 500 km, landIce: 500 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 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.
relatedIdentifier:
DOI 10.22033/ESGF/CMIP6.3530 DOI 10.22033/ESGF/CMIP6.3531 DOI 10.22033/ESGF/CMIP6.3533 DOI 10.22033/ESGF/CMIP6.3534 DOI 10.22033/ESGF/CMIP6.3536 DOI 10.22033/ESGF/CMIP6.3540 DOI 10.22033/ESGF/CMIP6.3547 DOI 10.22033/ESGF/CMIP6.3548 DOI 10.22033/ESGF/CMIP6.3550 DOI 10.1017/9781009157896.011 DOI 10.1038/s41586-021-04370-w DOI 10.1109/jstars.2023.3310617 DOI 10.48364/isimip.581124 DOI 10.48364/isimip.581124.1 DOI 10.48364/isimip.581124.2 DOI 10.48364/isimip.581124.3 DOI 10.5194/gmd-2021-11 DOI 10.1002/essoar.10512001.1 DOI 10.1002/essoar.10512730.1 DOI 10.1007/s00382-021-05929-z DOI 10.1007/s00382-021-05942-2 DOI 10.1007/s00382-021-06114-y DOI 10.1007/s00382-022-06409-8 DOI 10.1007/s00704-022-03952-6 DOI 10.1007/s00704-024-04869-y DOI 10.1007/s40808-022-01433-3 DOI 10.1007/s41748-022-00333-x DOI 10.1016/j.cageo.2022.105176 DOI 10.1029/2019jd032345 DOI 10.1029/2021ef002150 DOI 10.1029/2022gb007520 DOI 10.1029/2022jg007243 DOI 10.1029/2022wr033618 DOI 10.1029/2023gb007798 DOI 10.1029/2023jd038906 DOI 10.1029/2024gl109265 DOI 10.1038/s41558-020-00943-1 DOI 10.1038/s41558-020-00957-9 DOI 10.1038/s41561-024-01471-9 DOI 10.1038/s41561-024-01511-4 DOI 10.1038/s41598-023-38602-y DOI 10.1038/s43247-024-01804-x DOI 10.1126/sciadv.abo2405 DOI 10.1126/sciadv.adf8119 DOI 10.11609/jott.6715.13.5.18164-18176 DOI 10.1289/ehp12080 DOI 10.21203/rs.3.rs-1903026/v1 DOI 10.21203/rs.3.rs-3691918/v1 DOI 10.21203/rs.3.rs-390152/v1 DOI 10.22541/essoar.167078790.00035564/v1 DOI 10.22541/essoar.168275876.64237989/v1 DOI 10.22541/essoar.169686254.43735786/v1 DOI 10.3390/atmos11111245 DOI 10.3390/atmos15020175 DOI 10.3390/rs14194701 DOI 10.5194/acp-2020-732 DOI 10.5194/acp-21-4231-2021 DOI 10.5194/bg-17-3439-2020 DOI 10.5194/bg-19-4589-2022 DOI 10.5194/bg-2020-16 DOI 10.5194/egusphere-2022-1013 DOI 10.5194/egusphere-2022-811 DOI 10.5194/egusphere-2022-811-ac1 DOI 10.5194/egusphere-2022-811-ac2 DOI 10.5194/egusphere-egu2020-11839 DOI 10.5194/egusphere-egu24-12936 DOI 10.5194/esd-14-309-2023 DOI 10.5194/tc-14-3155-2020 DOI 10.7916/dzbv-zs62 DOI 10.5194/gmd-2019-177
Lizenz:
  • CC BY 4.0
Quellsystem:
Forschungsdaten DKRZ

Interne Metadaten
Quelldatensatz
oai:wdcc.dkrz.de:Datacite4_CMIP6_CFMIP_CCCma_CanESM5