CMIP6 CMIP THU CIESM piControl r1i1p1f1 Amon pr 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.CMIP.THU.CIESM.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 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
1-01-16 to 500-12-16 (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
1.11 GiB (1188851405 Byte)
Format
NetCDF
Status
completely archived
Creation Date
Future Review Date
2032-04-17
Download Permission
Please login to check permission and download options
Cite as
[ Derived from parent entry - See data hierarchy tab ]
Huang, Wenyu (2023). IPCC DDC: THU CIESM model output prepared for CMIP6 CMIP piControl. World Data Center for Climate (WDCC) at DKRZ. https://doi.org/10.26050/WDCC/AR6.C6CMTHCIEpc

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

Is referenced by

[1] DOI IPCC Data Distribution Centre. (2025). CMIP6 input data usage information for IPCC WGI AR6 figure 4.13. doi:10.5281/zenodo.14986421
[2] DOI IPCC Data Distribution Centre. (2025). CMIP6 input data usage information for IPCC WGI AR6 figure 4.24. doi:10.5281/zenodo.14986429
[3] DOI IPCC Data Distribution Centre. (2025). CMIP6 input data usage information for IPCC WGI AR6 figure 4.32. doi:10.5281/zenodo.14986437
[4] DOI IPCC Data Distribution Centre. (2025). CMIP6 input data usage information for IPCC WGI AR6 figure 4.42. doi:10.5281/zenodo.14986441
[5] DOI IPCC Data Distribution Centre. (2025). CMIP6 input data usage information for IPCC WGI AR6 figure 8.13. doi:10.5281/zenodo.14986453

Is source of

[1] IPCC. (2023). Figure 8.13 | Zonal and annual-mean projected long-term changes in the atmospheric water budget. In IPCC, 2023: Chapter 8. https://www.ipcc.ch/report/ar6/wg1/figures/chapter-8/figure-8-13
[2] IPCC. (2023). Figure 10.15 | Future emergence of anthropogenic signal at regional scale. In IPCC, 2023: Chapter 10. https://www.ipcc.ch/report/ar6/wg1/figures/chapter-10/figure-10-15
[3] 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
[4] 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
[5] 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
[6] 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
[7] IPCC. (2023). Figure 4.42 | High-warming storylines for changes in annual mean precipitation. In IPCC, 2023: Chapter 4. https://www.ipcc.ch/report/ar6/wg1/figures/chapter-4/figure-4-42
[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 4.13 (v20230203). doi:10.5285/11d45679506d44fda224d65326edcdb4
[10] 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
[11] DOI Fischer, E. (2023). Chapter 4 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 4.42 (v20230213). doi:10.5285/e5e7afe5355a439e8d63be47ee7467c8
[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
[13] DOI Sénési, S. (2023). Chapter 8 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 8.13 (v20220718). doi:10.5285/6ed1539e8fe84caea089a0d6a7ffcdbd
[14] IPCC. (2023). Code for Figure 8.13 of the Working Group I Contribution to the IPCC Sixth Assessment Report. https://github.com/IPCC-WG1/Chapter-8
[15] DOI Sénési, Stéphane. (2021). IPCC WGI AR6 Chapter 8. doi:10.5281/zenodo.5217343

Parent

CMIP6 CMIP THU CIESM piControl
Details
[Entry acronym: C6CMTHCIEpcr111Amprld00417] [Entry id: 3925832]