Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets. These data include all datasets published for 'CMIP6.HighResMIP.IPSL.IPSL-CM6A-ATM-HR' 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 IPSL-CM6A-ATM-HR climate model, released in 2018, includes the following components: atmos: LMDZ (NPv6, N256; 512 x 360 longitude/latitude; 79 levels; top level 80000 m), land: ORCHIDEE (v2.0, Water/Carbon/Energy mode). The model was run by the Institut Pierre Simon Laplace, Paris 75252, France (IPSL) in native nominal resolutions: atmos: 50 km, land: 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: 2019-01-22: initially published under CC BY-NC-SA 4.0; 2022-06-03: relaxed to CC BY 4.0
Institut Pierre-Simon Laplace / Centre National de Recherche Scientifique
IsReferencedByThe effect of geographic sampling on evaluation of extreme precipitation in high-resolution climate models. Risser, Mark D.; Wehner, Michael F.. DOI:10.5194/ascmo-6-115-2020
IsReferencedByDiscrepancies in Simulated Ocean Net Surface Heat Fluxes over the North Atlantic. Liu, Chunlei; Yang, Yazhu; Liao, Xiaoqing; Cao, Ning; Liu, Jimmy; Ou, Niansen; Allan, Richard P.; Jin, Liang; Chen, Ni; Zheng, Rong. DOI:10.1007/s00376-022-1360-7
IsReferencedByPerformance of CMIP6 HighResMIP on the Representation of Onset and Cessation of Seasonal Rainfall in Southern West Africa. Nkrumah, Francis; Quagraine, Kwesi Akumenyi; Quagraine, Kwesi Twentwewa; Wainwright, Caroline; Quenum, Gandomè Mayeul Leger Davy; Amankwah, Abraham; Klutse, Nana Ama Browne. DOI:10.3390/atmos13070999
IsRelatedToThe effect of geographic sampling on evaluation of extreme precipitation in high resolution climate models. Risser, Mark D.; Wehner, Michael F.. DOI:10.48550/arxiv.1911.05103
IsReferencedByTo what extent horizontal resolution improves the simulation of precipitation in CMIP6 HighResMIP models over Southwest China?. Jin, Zhengrui; Ge, Fei; Chen, Quanliang; Lin, Zhiye. DOI:10.3389/feart.2022.1003748
IsReferencedByEvaluation of extreme sub-daily precipitation in high-resolution global climate model simulations. Wehner, Michael; Lee, Jiwoo; Risser, Mark; Ullrich, Paul; Gleckler, Peter; Collins, William D.. DOI:10.1098/rsta.2019.0545