DOI for 'CMIP6.C4MIP.NOAA-GFDL.GFDL-ESM4'
doi:10.22033/ESGF/CMIP6.1405
- Name
- CMIP6.C4MIP.NOAA-GFDL.GFDL-ESM4
- Abstract
- Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets.
These data include all datasets published for 'CMIP6.C4MIP.NOAA-GFDL.GFDL-ESM4' 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.C4MIP.NOAA-GFDL.GFDL-ESM4 (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
- contact, GFDL Climate Model Info gfdl.climate.model.info@nullnoaa.gov
- Cite as
- Krasting, John P.; Blanton, Chris; McHugh, Colleen; Radhakrishnan, Aparna; John, Jasmin G.; Rand, Kristopher; Nikonov, Serguei; Vahlenkamp, Hans; Zadeh, Niki T.; Dunne, John P.; Shevliakova, Elena; Horowitz, Larry W.; Stock, Charles; Malyshev, Sergey; Ploshay, Jeffrey; Gauthier, Paul PG; Naik, Vaishali; Winton, Michael; Zeng, Yujin (2018). NOAA-GFDL GFDL-ESM4 model output prepared for CMIP6 C4MIP. Version YYYYMMDD[1].Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1405
BibTeX RIS
Data Access
http://esgf-node.llnl.gov/search/cmip6/?mip_era=CMIP6&activity_id=C4MIP&institution_id=NOAA-GFDL&source_id=GFDL-ESM4
Related Data
NOAA-GFDL GFDL-ESM4 model output prepared for CMIP6 C4MIP esm-1pct-brch-1000PgC
Metadata Export
| # | Name | PID | Affiliation |
|---|---|---|---|
| 1 | Krasting, John P. | - | Geophysical Fluid Dynamics Laboratory/NOAA |
| 2 | Blanton, Chris | 0000-0002-0785-3538 | Geophysical Fluid Dynamics Laboratory/NOAA |
| 3 | McHugh, Colleen | 0000-0003-0560-3225 | Geophysical Fluid Dynamics Laboratory/NOAA |
| 4 | Radhakrishnan, Aparna | 0000-0002-2843-931X | Princeton University |
| 5 | John, Jasmin G. | - | Geophysical Fluid Dynamics Laboratory/NOAA |
| 6 | Rand, Kristopher | - | Geophysical Fluid Dynamics Laboratory/NOAA |
| 7 | Nikonov, Serguei | 0000-0002-3762-922X | Geophysical Fluid Dynamics Laboratory/NOAA |
| 8 | Vahlenkamp, Hans | - | Geophysical Fluid Dynamics Laboratory/NOAA |
| 9 | Zadeh, Niki T. | - | Geophysical Fluid Dynamics Laboratory/NOAA |
| 10 | Dunne, John P. | - | Geophysical Fluid Dynamics Laboratory/NOAA |
| 11 | Shevliakova, Elena | - | Geophysical Fluid Dynamics Laboratory/NOAA |
| 12 | Horowitz, Larry W. | - | Geophysical Fluid Dynamics Laboratory/NOAA |
| 13 | Stock, Charles | - | Geophysical Fluid Dynamics Laboratory/NOAA |
| 14 | Malyshev, Sergey | - | Geophysical Fluid Dynamics Laboratory/NOAA |
| 15 | Ploshay, Jeffrey | 0000-0001-8650-2965 | Geophysical Fluid Dynamics Laboratory/NOAA |
| 16 | Gauthier, Paul PG | 0000-0002-2893-7861 | Geophysical Fluid Dynamics Laboratory/NOAA |
| 17 | Naik, Vaishali | - | Geophysical Fluid Dynamics Laboratory/NOAA |
| 18 | Winton, Michael | - | Geophysical Fluid Dynamics Laboratory/NOAA |
| 19 | Zeng, Yujin | 0000-0001-9513-7648 | Geophysical Fluid Dynamics Laboratory/NOAA |
IsCitedBy Future Global Climate: Scenario-Based Projections and Near-Term Information. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Lee, J.-Y.; Marotzke, J.; Bala, G.; Cao, L.; Corti, S.; Dunne, J.P.; Engelbrecht, F.; Fischer, E.; Fyfe, J.C; Jones, C.; Maycock, A.; Mutemi, J.; Ndiaye, O.; Panickal, S.; Zhou,T.. DOI:10.1017/9781009157896.006
IsCitedBy Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Intergovernmental Panel on Climate Change (IPCC). DOI:10.1017/9781009157896
IsCitedBy Regional sensitivity patterns of Arctic Ocean acidification revealed with machine learning. Krasting, John P.; De Palma, Maurizia; Sonnewald, Maike; Dunne, John P.; John, Jasmin G.. DOI:10.1038/s43247-022-00419-4
IsReferencedBy Carbon-concentration and carbon-climate feedbacks in CMIP6 models, and their comparison to CMIP5 models. Arora, Vivek K.; Katavouta, Anna; Williams, Richard G.; Jones, Chris D.; Brovkin, Victor; Friedlingstein, Pierre; Schwinger, Jörg; Bopp, Laurent; Boucher, Olivier; Cadule, Patricia; Chamberlain, Matthew A.; Christian, James R.; Delire, Christine; Fisher, Rosie A.; Hajima, Tomohiro; Ilyina, Tatiana; Joetzjer, Emilie; Kawamiya, Michio; Koven, Charles; Krasting, John; Law, Rachel M.; Lawrence, David M.; Lenton, Andrew; Lindsay, Keith; Pongratz, Julia; Raddatz, Thomas; Séférian, Roland; Tachiiri, Kaoru; Tjiputra, Jerry F.; Wiltshire, Andy; Wu, Tongwen; Ziehn, Tilo. DOI:10.5194/bg-2019-473
IsRelatedTo Carbon–concentration and carbon–climate feedbacks in CMIP6 models and their comparison to CMIP5 models. Arora, Vivek K.; Katavouta, Anna; Williams, Richard G.; Jones, Chris D.; Brovkin, Victor; Friedlingstein, Pierre; Schwinger, Jörg; Bopp, Laurent; Boucher, Olivier; Cadule, Patricia; Chamberlain, Matthew A.; Christian, James R.; Delire, Christine; Fisher, Rosie A.; Hajima, Tomohiro; Ilyina, Tatiana; Joetzjer, Emilie; Kawamiya, Michio; Koven, Charles D.; Krasting, John P.; Law, Rachel M.; Lawrence, David M.; Lenton, Andrew; Lindsay, Keith; Pongratz, Julia; Raddatz, Thomas; Séférian, Roland; Tachiiri, Kaoru; Tjiputra, Jerry F.; Wiltshire, Andy; Wu, Tongwen; Ziehn, Tilo. DOI:10.5194/bg-17-4173-2020
IsCitedBy Global Carbon and other Biogeochemical Cycles and Feedbacks. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Canadell, J.G.; Monteiro, P.M.S; Costa, M.H.; Cotrim da Cunha, L.; Cox, P.M.; Eliseev, A.V.; Henson, S.; Ishii, M.; Jaccard, S.; Koven, C.; Lohila, A.; Patra, P.K.; Piao, S.; Rogelj, J.; Syampungani, S.; Zaehle, S.; Zickfeld, K.. DOI:10.1017/9781009157896.007