CMIP6 CMIP UA MCM-UA-1-0 piControl r1i1p1f1 Amon tas gn v20190731

hdl:21.14100/1309ca03-23b5-38fe-9670-7c027da3efd9

Stouffer, Ronald

Dataset
climate changeCMIPCMIP6IPCCIPCC-AR6IPCC-DDCMCM-UA-1-0piControltasUniA
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.CMIP.UA.MCM-UA-1-0.piControl' 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 Manabe Climate Model v1.0 - University of Arizona climate model, released in 1991, includes the following components: aerosol: Modifies surface albedoes (Haywood et al. 1997, doi: 10.1175/1520-0442(1997)010<1562:GCMCOT>2.0.CO;2), atmos: R30L14 (3.75 X 2.5 degree (long-lat) configuration; 96 x 80 longitude/latitude; 14 levels; top level 0.015 sigma, 15 mb), land: Standard Manabe bucket hydrology scheme (Manabe 1969, doi: 10.1175/1520-0493(1969)097<0739:CATOC>2.3.CO;2), landIce: Specified location - invariant in time, has high albedo and latent heat capacity, ocean: MOM1.0 (MOM1, 1.875 X 2.5 deg; 192 x 80 longitude/latitude; 18 levels; top grid cell 0-40 m), seaIce: Thermodynamic ice model (free drift dynamics). The model was run by the Department of Geosciences, University of Arizona, Tucson, AZ 85721, USA (UA) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, land: 250 km, landIce: 250 km, ocean: 250 km, seaIce: 250 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
1-01-17 to 500-12-17 (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
176.26 MiB (184820380 Byte)
Format
NetCDF
Status
completely archived
Creation Date
Future Review Date
2032-07-31
Download Permission
Please login to check permission and download options
Preview data headers
Cite as
[ Derived from parent entry - See data hierarchy tab ]
Stouffer, Ronald (2023). IPCC DDC: UA MCM-UA-1-0 model output prepared for CMIP6 CMIP piControl. World Data Center for Climate (WDCC) at DKRZ. https://doi.org/10.26050/WDCC/AR6.C6CMUAMUpc

BibTeX RIS
VariableCodeAggregationUnit
air_temperatureCF
tas (IPCC_DDC_AR6: 1095)
monK

Is source of

[1] IPCC. (2023). Figure 3.6 | Simulated internal variability of global surface air temperature (GSAT) versus observed changes. In IPCC, 2023: Chapter 3. https://www.ipcc.ch/report/ar6/wg1/figures/chapter-3/figure-3-6
[2] IPCC. (2023). Figure 3.5 | The standard deviation of annually averaged zonal-mean near-surface air temperature. In IPCC, 2023: Chapter 3. https://www.ipcc.ch/report/ar6/wg1/figures/chapter-3/figure-3-5
[3] IPCC. (2023). Figure 4.12 | Near-term change of seasonal mean surface temperature. In IPCC, 2023: Chapter 4. https://www.ipcc.ch/report/ar6/wg1/figures/chapter-4/figure-4-12
[4] IPCC. (2023). Figure 4.20 | Difference of surface temperature change between June–July–August (JJA) and December –January–February (DJF). In IPCC, 2023: Chapter 4. https://www.ipcc.ch/report/ar6/wg1/figures/chapter-4/figure-4-20
[5] IPCC. (2023). Figure 4.31 | Projected spatial patterns of change in annual average near-surface temperature (°C) at different levels of global warming. In IPCC, 2023: Chapter 4. https://www.ipcc.ch/report/ar6/wg1/figures/chapter-4/figure-4-31
[6] IPCC. (2023). Figure 4.41 | High-warming storylines for changes in annual mean temperature. In IPCC, 2023: Chapter 4. https://www.ipcc.ch/report/ar6/wg1/figures/chapter-4/figure-4-41
[7] IPCC. (2023). Figure 4.19 | Mid- and long-term change of annual mean surface temperature. In IPCC, 2023: Chapter 4. https://www.ipcc.ch/report/ar6/wg1/figures/chapter-4/figure-4-19
[8] IPCC. (2023). Figure 10.14 | Robustness and scalability of anthropogenic signals at regional scale. In IPCC, 2023: Chapter 10. https://www.ipcc.ch/report/ar6/wg1/figures/chapter-10/figure-10-14
[9] DOI Fischer, E. (2023). Chapter 4 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 4.41 (v20230213). doi:10.5285/e397fe6f20024295b095e2e3ca1e9f04
[10] DOI Bock, L. (2023). Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.5 (v20211001). doi:10.5285/b6ca8b2d797348dd86823cfc2da7ba83
[11] DOI Fischer, E. (2023). Chapter 4 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 4.31 v20230531. doi:10.5285/8fa708d0474d4a3caa5c9f645a89d282
[12] DOI Fischer, E. (2023). Chapter 4 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 4.19 (v20230203). doi:10.5285/dce10ff4596241e190aaea9291cc4249
[13] DOI Fischer, E. (2023). Chapter 4 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 4.12 (v20230203). doi:10.5285/0078d944259049a4b1bc5947623f6e97
[14] DOI Phillips, A.; Kosaka, Y.; Cassou, C.; Bock, L. (2023). Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.6 (v20220119). doi:10.5285/c3450dc769f044898ea5f3be784f354b
[15] IPCC. (2023). Code for Figure 3.5 of the Working Group I Contribution to the IPCC Sixth Assessment Report. https://github.com/IPCC-WG1/Chapter-3_Fig05
[16] IPCC. (2023). Code for Figure 3.6 of the Working Group I Contribution to the IPCC Sixth Assessment Report. https://github.com/IPCC-WG1/Chapter-3_Fig06
[17] DOI Bock, L.; Bellouin, N.; Gillett, N. (2022). IPCC AR6 WGI - Figure 3.5. doi:10.5281/zenodo.6656167
[18] DOI Kosaka, Y.; Phillips, A.; Bellouin, N.; Cassou, C.; Gillett, N.; Bock, L. (2022). IPCC AR6 WGI - Figure 3.6. doi:10.5281/zenodo.6656754

Parent

CMIP6 CMIP UA MCM-UA-1-0 piControl
Details

Parent project(s)

Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets

[Entry acronym: C6CMUAMUpcr111Amtasgn90731] [Entry id: 3925905]