Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets. These data include all datasets published for 'CMIP6.HighResMIP.MOHC.HadGEM3-GC31-MM' 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 HadGEM3-GC3.1-N216ORCA025 climate model, released in 2016, includes the following components: aerosol: UKCA-GLOMAP-mode, atmos: MetUM-HadGEM3-GA7.1 (N216; 432 x 324 longitude/latitude; 85 levels; top level 85 km), land: JULES-HadGEM3-GL7.1, ocean: NEMO-HadGEM3-GO6.0 (eORCA025 tripolar primarily 0.25 deg; 1440 x 1205 longitude/latitude; 75 levels; top grid cell 0-1 m), seaIce: CICE-HadGEM3-GSI8 (eORCA025 tripolar primarily 0.25 deg; 1440 x 1205 longitude/latitude). The model was run by the Met Office Hadley Centre, Fitzroy Road, Exeter, Devon, EX1 3PB, UK (MOHC) in native nominal resolutions: aerosol: 100 km, atmos: 100 km, land: 100 km, ocean: 25 km, seaIce: 25 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: 2017-08-18: initially published under CC BY-SA 4.0; 2021-11-15: relaxed to CC BY 4.0 (More information: https://ukesm.ac.uk/licensing-of-met-office-nerc-and-niwa-cmip6-data/).
Roberts, Malcolm (2017). MOHC HadGEM3-GC31-MM model output prepared for CMIP6 HighResMIP. Version YYYYMMDD[1].Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1902
IsCitedByClimate 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
IsReferencedByStatistical predictability of the Arctic sea ice volume anomaly: identifying predictors and optimal sampling locations. Ponsoni, Leandro; Massonnet, François; Docquier, David; Van Achter, Guillian; Fichefet, Thierry. DOI:10.5194/tc-14-2409-2020
IsReferencedByStatistical predictability of the Arctic sea ice volume anomaly: identifying predictors and optimal sampling locations. Ponsoni, Leandro; Massonnet, François; Docquier, David; Van Achter, Guillian; Fichefet, Thierry. DOI:10.5194/tc-2019-257
IsReferencedByImpact of resolution on the atmosphere–ocean coupling along the Gulf Stream in global high resolution models. Tsartsali, E. E.; Haarsma, R. J.; Athanasiadis, P. J.; Bellucci, A.; de Vries, H.; Drijfhout, S.; de Vries, I. E.; Putrahasan, D.; Roberts, M. J.; Sanchez–Gomez, E.; Roberts, C. D.. DOI:10.1007/s00382-021-06098-9
IsReferencedByEvaluation of Asian summer precipitation in different configurations of a high-resolution general circulation model in a range of decision-relevant spatial scales. Muetzelfeldt, Mark R.; Schiemann, Reinhard; Turner, Andrew G.; Klingaman, Nicholas P.; Vidale, Pier Luigi; Roberts, Malcolm J.. DOI:10.5194/hess-25-6381-2021
IsReferencedByAir-Sea interaction over the Gulf Stream in an ensemble of HighResMIP present climate simulations. Bellucci, Alessio; Athanasiadis, P. J.; Scoccimarro, E.; Ruggieri, P.; Gualdi, S.; Fedele, G.; Haarsma, R. J.; Garcia-Serrano, J.; Castrillo, M.; Putrahasan, D.; Sanchez-Gomez, E.; Moine, M.-P.; Roberts, C. D.; Roberts, M. J.; Seddon, J.; Vidale, P. L.. DOI:10.1007/s00382-020-05573-z
IsReferencedByDescription of the resolution hierarchy of the global coupled HadGEM3-GC3.1 model as used in CMIP6 HighResMIP experiments. Roberts, Malcolm J.; Baker, Alex; Blockley, Ed W.; Calvert, Daley; Coward, Andrew; Hewitt, Helene T.; Jackson, Laura C.; Kuhlbrodt, Till; Mathiot, Pierre; Roberts, Christopher D.; Schiemann, Reinhard; Seddon, Jon; Vannière, Benoît; Vidale, Pier Luigi. DOI:10.5194/gmd-2019-148
IsReferencedByAn Evaluation of Tropical Cyclone Rainfall Structures in the HighResMIP Simulations against Satellite Observations. Moon, Yumin; Kim, Daehyun; Wing, Allison A.; Camargo, Suzana J.; Zhao, Ming; Leung, L. Ruby; Roberts, Malcolm J.; Cha, Dong-Hyun; Moon, Jihong. DOI:10.1175/jcli-d-21-0564.1
IsReferencedBySensitivity of the Atlantic Meridional Overturning Circulation to Model Resolution in CMIP6 HighResMIP Simulations and Implications for Future Changes. Roberts, Malcolm J.; Jackson, Laura C.; Roberts, Christopher D.; Meccia, Virna; Docquier, David; Koenigk, Torben; Ortega, Pablo; Moreno‐Chamarro, Eduardo; Bellucci, Alessio; Coward, Andrew; Drijfhout, Sybren; Exarchou, Eleftheria; Gutjahr, Oliver; Hewitt, Helene; Iovino, Doroteaciro; Lohmann, Katja; Putrasahan, Dian; Schiemann, Reinhard; Seddon, Jon; Terray, Laurent; Xu, Xiaobiao; Zhang, Qiuying; Chang, Ping; Yeager, Stephen G.; Castruccio, Frederic S.; Zhang, Shaoqing; Wu, Lixin. DOI:10.1029/2019ms002014
IsReferencedByCan we trust CMIP5/6 future projections of European winter precipitation?. Moreno-Chamarro, E; Caron, L-P; Ortega, P; Loosveldt Tomas, S; Roberts, M J. DOI:10.1088/1748-9326/abf28a