DOI for 'CMIP6.RFMIP.NOAA-GFDL.GFDL-ESM4.piClim-anthro'

Name

CMIP6.RFMIP.NOAA-GFDL.GFDL-ESM4.piClim-anthro

Abstract

Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets.
These data include all datasets published for 'CMIP6.RFMIP.NOAA-GFDL.GFDL-ESM4.piClim-anthro' 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 GFDL-ESM4 climate model, released in 2018, includes the following components:
aerosol: interactive, atmos: GFDL-AM4.1 (Cubed-sphere (c96) - 1 degree nominal horizontal resolution; 360 x 180 longitude/latitude; 49 levels; top level 1 Pa), atmosChem: GFDL-ATMCHEM4.1 (full atmospheric chemistry), land: GFDL-LM4.1, landIce: GFDL-LM4.1, ocean: GFDL-OM4p5 (GFDL-MOM6, tripolar - nominal 0.5 deg; 720 x 576 longitude/latitude; 75 levels; top grid cell 0-2 m), ocnBgchem: GFDL-COBALTv2, seaIce: GFDL-SIM4p5 (GFDL-SIS2.0, tripolar - nominal 0.5 deg; 720 x 576 longitude/latitude; 5 layers; 5 thickness categories).
The model was run by the National Oceanic and Atmospheric Administration, Geophysical Fluid Dynamics Laboratory, Princeton, NJ 08540, USA (NOAA-GFDL) in native nominal resolutions: aerosol: 100 km, atmos: 100 km, atmosChem: 100 km, land: 100 km, landIce: 100 km, 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.

Subjects

CMIP6.RFMIP.NOAA-GFDL.GFDL-ESM4.piClim-anthro (DRS: http://github.com/WCRP-CMIP/CMIP6_CVs)
CMIP6
climate

Rights

Creative Commons Attribution 4.0 International License (CC BY 4.0)

License

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: 2018-07-01: initially published under CC BY-SA 4.0; 2022-06-08: relaxed to CC BY 4.0

Contacts

Paynter, David J

 david.paynter@nullnoaa.gov

Cite as

Paynter, David J; Rand, Kristopher; Horowitz, Larry W.; Naik, Vaishali; John, Jasmin G.; Blanton, Chris; McHugh, Colleen; Radhakrishnan, Aparna; Vahlenkamp, Hans; Wilson, Chandin (2018). NOAA-GFDL GFDL-ESM4 model output prepared for CMIP6 RFMIP piClim-anthro. Version YYYYMMDD^[1].Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.11966

BibTeX RIS

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