CMIP6 ScenarioMIP THU CIESM ssp126 r1i1p1f1 Amon psl gr v20200417

Huang, Wenyu

Dataset
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.THU.CIESM.ssp126' 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 Community Integrated Earth System Model climate model, released in 2017, includes the following components: aerosol: MAM4, atmos: CIESM-AM (FV/FD; 288 x 192 longitude/latitude; 30 levels; top level 2.255 hPa), atmosChem: trop_mam4, land: CIESM-LM (modified CLM4.5), ocean: CIESM-OM (FD, SCCGrid Displaced Pole; 720 x 560 longitude/latitude; 46 levels; top grid cell 0-6 m), seaIce: CICE4. The model was run by the Department of Earth System Science, Tsinghua University, Beijing 100084, China (THU) in native nominal resolutions: aerosol: 100 km, atmos: 100 km, atmosChem: 100 km, land: 100 km, ocean: 50 km, seaIce: 50 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
151.95 MiB (159335667 Byte)
Format
NetCDF
Status
completely archived
Creation Date
Future Review Date
2032-04-17
Download Permission
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Cite as
[ Derived from parent entry - See data hierarchy tab ]
Huang, Wenyu (2023). IPCC DDC: THU CIESM model output prepared for CMIP6 ScenarioMIP ssp126. World Data Center for Climate (WDCC) at DKRZ. https://doi.org/10.26050/WDCC/AR6.C6SPTHCIEs126

BibTeX RIS
VariableCodeAggregationUnit
air_pressure_at_mean_sea_level
CF
psl (IPCC_DDC_AR6: 810)
monPa

Is referenced by

[1] DOI IPCC Data Distribution Centre. (2025). CMIP6 input data usage information for IPCC WGI AR6 figure 4.25. doi:10.5281/zenodo.14986431

Is source of

[1] IPCC. (2023). Figure 4.9 | CMIP6 simulations of boreal winter (December –January–February, DJF) Annular Mode indices. In IPCC, 2023: Chapter 4. https://www.ipcc.ch/report/ar6/wg1/figures/chapter-4/figure-4-9
[2] IPCC. (2023). Figure 4.30 | CMIP6 Annular Mode index change from 1995–2014 to 2081–2100. In IPCC, 2023: Chapter 4. https://www.ipcc.ch/report/ar6/wg1/figures/chapter-4/figure-4-30
[3] IPCC. (2023). Figure 4.17 | CMIP6 Annular Mode index change (hPa) from 1995–2014 to 2021–2040. In IPCC, 2023: Chapter 4. https://www.ipcc.ch/report/ar6/wg1/figures/chapter-4/figure-4-17
[4] IPCC. (2023). Figure 4.25 | Long-term change of seasonal-mean sea level pressure. In IPCC, 2023: Chapter 4. https://www.ipcc.ch/report/ar6/wg1/figures/chapter-4/figure-4-25
[5] DOI Fischer, E. (2023). Chapter 4 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 4.25 (v20230213). doi:10.5285/b1d79f8dea6244ea943d49040f0f9f6d

Parent

CMIP6 ScenarioMIP THU CIESM ssp126
Details
[Entry acronym: C6SPTHCIEs126r111Ampslld00417] [Entry id: 3948649]