CMIP6 ScenarioMIP NCC NorESM2-MM ssp370 r1i1p1f1 Amon pr gn v20191108

hdl:21.14100/c95ea1b2-7e1b-3dda-8a31-9121efb49914

Bentsen, Mats et al.

Dataset
climate changeCMIP6IPCCIPCC-AR6IPCC-DDCNCCNorESM2-MMprScenarioMIPssp370
Summary
[ Derived from parent entry - See data hierarchy tab ]

These data include the subset used by IPCC AR6 WGI authors of the datasets originally published in ESGF for 'CMIP6.ScenarioMIP.NCC.NorESM2-MM.ssp370' 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 NorESM2-MM (medium atmosphere-medium ocean resolution, GHG concentration driven) climate model, released in 2017, includes the following components: aerosol: OsloAero, atmos: CAM-OSLO (1 degree resolution; 288 x 192; 32 levels; top level 3 mb), atmosChem: OsloChemSimp, land: CLM, landIce: CISM, ocean: MICOM (1 degree resolution; 360 x 384; 70 levels; top grid cell minimum 0-2.5 m [native model uses hybrid density and generic upper-layer coordinate interpolated to z-level for contributed data]), ocnBgchem: HAMOCC, seaIce: CICE. The model was run by the NorESM Climate modeling Consortium consisting of CICERO (Center for International Climate and Environmental Research, Oslo 0349), MET-Norway (Norwegian Meteorological Institute, Oslo 0313), NERSC (Nansen Environmental and Remote Sensing Center, Bergen 5006), NILU (Norwegian Institute for Air Research, Kjeller 2027), UiB (University of Bergen, Bergen 5007), UiO (University of Oslo, Oslo 0313) and UNI (Uni Research, Bergen 5008), Norway. Mailing address: NCC, c/o MET-Norway, Henrik Mohns plass 1, Oslo 0313, Norway (NCC) in native nominal resolutions: aerosol: 100 km, atmos: 100 km, atmosChem: 100 km, land: 100 km, landIce: 100 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km.
Project
IPCC-AR6_CMIP6 (Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets)
Location(s)
global
Spatial Coverage
Longitude 0 to 360 Latitude -90 to 90
Temporal Coverage
2015-01-16 to 2100-12-16 (gregorian)
Use constraints
Creative Commons Attribution 4.0 International (CC BY 4.0) (https://creativecommons.org/licenses/by/4.0/)
Data Catalog
World Data Center for Climate
Access constraints
registered users
Size
169.46 MiB (177696447 Byte)
Format
NetCDF
Status
completely archived
Creation Date
Future Review Date
2032-11-08
Download Permission
Please login to check permission and download options
Preview data headers
Cite as
[ Derived from parent entry - See data hierarchy tab ]
Bentsen, Mats; Oliviè, Dirk Jan Leo; Seland, Øyvind; Toniazzo, Thomas; Gjermundsen, Ada; Graff, Lise Seland; Debernard, Jens Boldingh; Gupta, Alok Kumar; He, Yanchun; Kirkevåg, Alf; Schwinger, Jörg; Tjiputra, Jerry; Aas, Kjetil Schanke; Bethke, Ingo; Fan, Yuanchao; Griesfeller, Jan; Grini, Alf; Guo, Chuncheng; Ilicak, Mehmet; Karset, Inger Helene Hafsahl; Landgren, Oskar Andreas; Liakka, Johan; Moseid, Kine Onsum; Nummelin, Aleksi; Spensberger, Clemens; Tang, Hui; Zhang, Zhongshi; Heinze, Christoph; Iversen, Trond; Schulz, Michael (2023). IPCC DDC: NCC NorESM2-MM model output prepared for CMIP6 ScenarioMIP ssp370. World Data Center for Climate (WDCC) at DKRZ. https://doi.org/10.26050/WDCC/AR6.C6SPNCCN2s370

BibTeX RIS
VariableCodeAggregationUnit
precipitation_fluxCF
pr (IPCC_DDC_AR6: 780)
monkg m-2 s-1

Is source of

[1] IPCC. (2023). Cross-Chapter Box 11.1, Figure 3 | Illustration of the AR6 global warming level (GWL) sampling approach to derive the timing and the response at a given GWL for the case of Coupled Model Intercomparison Project Phase 6 (CMIP6) data. In IPCC, 2023: Chapter 11. https://www.ipcc.ch/report/ar6/wg1/figures/chapter-11/ccbox-11-1-figure-3
[2] IPCC. (2023). Figure 4.2 | Selected indicators of global climate change from CMIP6 historical and scenario simulations. In IPCC, 2023: Chapter 4. https://www.ipcc.ch/report/ar6/wg1/figures/chapter-4/figure-4-2
[3] IPCC. (2023). Figure 4.4 | CMIP6 annual mean precipitation changes (%) from historical and scenario simulations. In IPCC, 2023: Chapter 4. https://www.ipcc.ch/report/ar6/wg1/figures/chapter-4/figure-4-4
[4] IPCC. (2023). Figure 4.13 | Near-term change of seasonal mean precipitation. In IPCC, 2023: Chapter 4. https://www.ipcc.ch/report/ar6/wg1/figures/chapter-4/figure-4-13
[5] IPCC. (2023). Figure 4.24 | Long-term change of seasonal mean precipitation. In IPCC, 2023: Chapter 4. https://www.ipcc.ch/report/ar6/wg1/figures/chapter-4/figure-4-24
[6] IPCC. (2023). Figure 4.33 | Area fraction of significant precipitation change at 1.5°C, 2°C, 3°C, and 4°C of global warming. In IPCC, 2023: Chapter 4. https://www.ipcc.ch/report/ar6/wg1/figures/chapter-4/figure-4-33
[7] IPCC. (2023). Figure 4.14 | Time series of global land monsoon precipitation and Northern Hemisphere summer monsoon (NHSM) circulation index anomalies. In IPCC, 2023: Chapter 4. https://www.ipcc.ch/report/ar6/wg1/figures/chapter-4/figure-4-14
[8] IPCC. (2023). Figure 4.32 | Projected spatial patterns of change in annual average precipitation (expressed as a percentage change) at different levels of global warming. In IPCC, 2023: Chapter 4. https://www.ipcc.ch/report/ar6/wg1/figures/chapter-4/figure-4-32
[9] IPCC. (2023). Figure 4.10 | Changes in amplitude of ENSO Variability. In IPCC, 2023: Chapter 4. https://www.ipcc.ch/report/ar6/wg1/figures/chapter-4/figure-4-10
[10] DOI Fischer, E. (2023). Chapter 4 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 4.13 (v20230203). doi:10.5285/11d45679506d44fda224d65326edcdb4
[11] DOI Fischer, E. (2023). Chapter 4 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 4.24 (v20230213). doi:10.5285/5ed073b87dbc45d6a66d7c704caef01d
[12] DOI Fischer, E. (2023). Chapter 4 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 4.32 v20230531. doi:10.5285/0192ae3037794e0eb93b022c5140f399

Parent

CMIP6 ScenarioMIP NCC NorESM2-MM ssp370
Details

Parent project(s)

Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets

[Entry acronym: C6SPNCCN2s370r111Amprgn91108] [Entry id: 3942550]