DOI for 'CMIP6.GeoMIP.MPI-M.MPI-ESM1-2-HR.G6sulfur'
doi:10.22033/ESGF/CMIP6.15300
Name
CMIP6.GeoMIP.MPI-M.MPI-ESM1-2-HR.G6sulfur
Abstract
Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets. These data include all datasets published for 'CMIP6.GeoMIP.MPI-M.MPI-ESM1-2-HR.G6sulfur' 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 MPI-ESM1.2-HR climate model, released in 2017, includes the following components: aerosol: none, prescribed MACv2-SP, atmos: ECHAM6.3 (spectral T127; 384 x 192 longitude/latitude; 95 levels; top level 0.01 hPa), land: JSBACH3.20, landIce: none/prescribed, ocean: MPIOM1.63 (tripolar TP04, approximately 0.4deg; 802 x 404 longitude/latitude; 40 levels; top grid cell 0-12 m), ocnBgchem: HAMOCC6, seaIce: unnamed (thermodynamic (Semtner zero-layer) dynamic (Hibler 79) sea ice model). The model was run by the Max Planck Institute for Meteorology, Hamburg 20146, Germany (MPI-M) in native nominal resolutions: aerosol: 100 km, atmos: 100 km, land: 100 km, landIce: none, ocean: 50 km, ocnBgchem: 50 km, seaIce: 50 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 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: 2017-10-03: initially published under CC BY-SA 4.0; 2022-06-16: relaxed to CC BY 4.0
IsRelatedToThe impact of stratospheric aerosol intervention on the North Atlantic and Quasi-Biennial Oscillations in the Geoengineering Model Intercomparison Project (GeoMIP) G6sulfur experiment. Jones, Andy; Haywood, Jim M.; Scaife, Adam A.; Boucher, Olivier; Henry, Matthew; Kravitz, Ben; Lurton, Thibaut; Nabat, Pierre; Niemeier, Ulrike; Séférian, Roland; Tilmes, Simone; Visioni, Daniele. DOI:10.5194/acp-22-2999-2022
IsRelatedToBrief communication: Reduction in the future Greenland ice sheet surface melt with the help of solar geoengineering. Fettweis, Xavier; Hofer, Stefan; Séférian, Roland; Amory, Charles; Delhasse, Alison; Doutreloup, Sébastien; Kittel, Christoph; Lang, Charlotte; Van Bever, Joris; Veillon, Florent; Irvine, Peter. DOI:10.5194/tc-15-3013-2021
IsRelatedToBrief Communication: Reduction of the future Greenland ice sheet
surface melt with the help of solar geoengineering. Fettweis, Xavier; Hofer, Stefan; Séférian, Roland; Amory, Charles; Delhasse, Alison; Doutreloup, Sébastien; Kittel, Christoph; Lang, Charlotte; Van Bever, Joris; Veillon, Florent; Irvine, Peter. DOI:10.5194/tc-2020-347
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IsReferencedByContrasts of bimodal tropical instability waves (TIWs)-induced wind stress perturbations in the Pacific Ocean among observations, ocean models, and coupled climate models. Ma, Kai; Liu, Chuanyu; Xu, Junli; Wang, Fan. DOI:10.1007/s00343-023-2326-z