CCCma CanESM5 model output prepared for CMIP6 ScenarioMIP

Link:
Autor/in:
Beteiligte Person:
  • Swart, Neil Cameron
Verlag/Körperschaft:
Earth System Grid Federation
Erscheinungsjahr:
2019
Medientyp:
Datensatz
Schlagworte:
  • CMIP6
  • climate
  • CMIP6.ScenarioMIP.CCCma.CanESM5
Beschreibung:
  • Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets: These data include all datasets published for 'CMIP6.ScenarioMIP.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/CMIP6.12559 DOI 10.22033/ESGF/CMIP6.12561 DOI 10.22033/ESGF/CMIP6.12565 DOI 10.22033/ESGF/CMIP6.3682 DOI 10.22033/ESGF/CMIP6.3683 DOI 10.22033/ESGF/CMIP6.3685 DOI 10.22033/ESGF/CMIP6.3690 DOI 10.22033/ESGF/CMIP6.3692 DOI 10.22033/ESGF/CMIP6.3693 DOI 10.22033/ESGF/CMIP6.3694 DOI 10.22033/ESGF/CMIP6.3696 DOI 10.1007/s11027-024-10105-9 DOI 10.1016/j.ecoleng.2021.106488 DOI 10.1016/j.scitotenv.2020.139587 DOI 10.1016/j.scitotenv.2020.142774 DOI 10.1017/9781009157896 DOI 10.1017/9781009157896.005 DOI 10.1017/9781009157896.006 DOI 10.1017/9781009157896.007 DOI 10.1017/9781009157896.010 DOI 10.1017/9781009157896.011 DOI 10.1017/9781009157896.012 DOI 10.1017/9781009157896.013 DOI 10.1017/9781009157896.021 DOI 10.1029/2022ef003161 DOI 10.1029/2022jd036562 DOI 10.1080/02626667.2023.2245815 DOI 10.1088/1748-9326/ac8e1a DOI 10.1088/2752-5295/acf4b7 DOI 10.1098/rsos.220967 DOI 10.26083/tuprints-00021483 DOI 10.48364/isimip.581124.2 DOI 10.48364/isimip.581124.3 DOI 10.5281/zenodo.11061924 DOI 10.5281/zenodo.11122934 DOI 10.1002/asl.1061 DOI 10.1002/essoar.10510318.1 DOI 10.1007/s00382-022-06216-1 DOI 10.1007/s00382-022-06323-z DOI 10.1007/s00382-022-06436-5 DOI 10.1007/s10530-023-03016-4 DOI 10.1007/s11783-023-1732-y DOI 10.1007/s40808-023-01881-5 DOI 10.1029/2019EF001461 DOI 10.1029/2019ef001461 DOI 10.1029/2021EF002014 DOI 10.1029/2021ef002014 DOI 10.1029/2021ef002019 DOI 10.1029/2022gl099443 DOI 10.1038/s41467-024-46968-4 DOI 10.1038/s41558-020-00943-1 DOI 10.1038/s41558-020-00957-9 DOI 10.1038/s41560-022-01056-z DOI 10.1038/s41598-022-26513-3 DOI 10.1038/s41598-024-76056-y DOI 10.1038/s43247-024-01565-7 DOI 10.1088/1748-9326/ac3288 DOI 10.1088/1748-9326/ac417d DOI 10.1088/1748-9326/ac7eda DOI 10.1126/sciadv.abo2405 DOI 10.1289/ehp11068 DOI 10.1289/ehp12080 DOI 10.31223/x5sw3n DOI 10.3389/feart.2022.765304 DOI 10.3389/fpls.2022.1040752 DOI 10.3390/atmos12111440 DOI 10.3390/f14010087 DOI 10.3390/su14095494 DOI 10.3390/su14105843 DOI 10.3390/su15043147 DOI 10.3390/w14213447 DOI 10.5194/egusphere-2022-1013 DOI 10.5194/egusphere-2022-1013-ac1 DOI 10.5194/egusphere-2022-1013-ac2 DOI 10.5194/esd-12-1061-2021 DOI 10.5194/esd-14-309-2023 DOI 10.5194/esd-15-735-2024 DOI 10.5194/esd-2021-23 DOI 10.5194/esd-2021-23-ac1 DOI 10.5194/esd-2021-23-ac2 DOI 10.5194/esd-2021-23-rc1 DOI 10.5194/esd-2021-23-rc2 DOI 10.5194/esd-2021-43 DOI 10.5194/nhess-2022-127 DOI 10.5194/nhess-23-21-2023 DOI 10.7916/k1h7-mm35 DOI 10.7916/m79w-wc11 DOI 10.7916/zz52-w961 DOI 10.48364/isimip.581124 DOI 10.48364/isimip.581124.1 DOI 10.5194/gmd-2019-177
Lizenz:
  • CC BY 4.0
Quellsystem:
Forschungsdaten DKRZ

Interne Metadaten
Quelldatensatz
oai:wdcc.dkrz.de:Datacite4_CMIP6_ScenarioMIP_CCCma_CanESM5