CMIP6 ScenarioMIP NCAR CESM2-WACCM ssp585 r1i1p1f1 Amon pr gn v20200702

hdl:21.14100/55274f81-79eb-3d68-b2a6-9f9d75c8278d

Danabasoglu, Gokhan

Dataset
CESM2-WACCMclimate changeCMIP6IPCCIPCC-AR6IPCC-DDCNCARprScenarioMIPssp585
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.NCAR.CESM2-WACCM.ssp585' 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 CESM2-WACCM climate model, released in 2018, includes the following components: aerosol: MAM4 (same grid as atmos), atmos: WACCM6 (0.9x1.25 finite volume grid; 288 x 192 longitude/latitude; 70 levels; top level 4.5e-06 mb), atmosChem: MAM4 (same grid as atmos), land: CLM5 (same grid as atmos), landIce: CISM2.1, ocean: POP2 (320 x 384 longitude/latitude; 60 levels; top grid cell 0-10 m), ocnBgchem: MARBL (same grid as ocean), seaIce: CICE5.1 (same grid as ocean). The model was run by the National Center for Atmospheric Research, Climate and Global Dynamics Laboratory, 1850 Table Mesa Drive, Boulder, CO 80305, USA (NCAR) in native nominal resolutions: aerosol: 100 km, atmos: 100 km, atmosChem: 100 km, land: 100 km, landIce: 5 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
2015-01-15 to 2100-12-15 (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
566.47 MiB (593990610 Byte)
Format
NetCDF
Status
completely archived
Creation Date
Future Review Date
2032-07-02
Download Permission
Please login to check permission and download options
Preview data headers
Cite as
[ Derived from parent entry - See data hierarchy tab ]
Danabasoglu, Gokhan (2023). IPCC DDC: NCAR CESM2-WACCM model output prepared for CMIP6 ScenarioMIP ssp585. World Data Center for Climate (WDCC) at DKRZ. https://doi.org/10.26050/WDCC/AR6.C6SPNRCESWs585

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 10.19. doi:10.5281/zenodo.14986314
[2] DOI IPCC Data Distribution Centre. (2025). CMIP6 input data usage information for IPCC WGI AR6 figure 8.13. doi:10.5281/zenodo.14986453
[3] DOI IPCC Data Distribution Centre. (2025). CMIP6 input data usage information for IPCC WGI AR6 figure 8.16. doi:10.5281/zenodo.14986462
[4] DOI IPCC Data Distribution Centre. (2025). CMIP6 input data usage information for IPCC WGI AR6 figure 8.21. doi:10.5281/zenodo.14986468

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 8.16 | Rate of change in components of water cycle mean and variability across increasing global warming levels. In IPCC, 2023: Chapter 8. https://www.ipcc.ch/report/ar6/wg1/figures/chapter-8/figure-8-16
[3] IPCC. (2023). Figure 8.22 | Projected regional monsoons precipitation changes. In IPCC, 2023: Chapter 8. https://www.ipcc.ch/report/ar6/wg1/figures/chapter-8/figure-8-22
[4] IPCC. (2023). Table 8.1 | Global and global land annual mean water cycle projections in the mid-term (2041–2060) and long term (2081–2100) relative to present day (1995–2014), showing present day mean and 90% confidence range across CMIP6 models (historical experiment) and projected mean changes and the 90% confidence range across the same set of models and a range of Shared Socio-economic Pathway scenarios. In IPCC, 2023: Chapter 8. https://www.ipcc.ch/report/ar6/wg1/chapter/chapter-8/#8.4.1.1
[5] IPCC. (2023). Table 8.2 | Monsoon mean water cycle projections in the mid-term (2041–2060) and long term (2081–2100) relative to present day (1995–2014), showing present-day mean and 90% confidence range across CMIP6 models (historical experiment) and projected mean changes and the 90% confidence range across the same set of models and a range of Shared Socio-economic Pathway scenarios. All statistics are in units of mm day–1. In IPCC, 2023: Chapter 8. https://www.ipcc.ch/report/ar6/wg1/chapter/chapter-8/#8.4.2.4
[6] IPCC. (2023). FAQ 11.1, Figure 1 | How will changes in climate extremes compare with changes in climate averages? | Global maps of future changes in surface temperature (top panels) and precipitation (bottom panels) for long-term average (left) and extreme conditions (right). In IPCC, 2023: Chapter 11. https://www.ipcc.ch/report/ar6/wg1/figures/chapter-11/faq-11-1-figure-1
[7] IPCC. (2023). Box 8.2 Figure 1 | Projected long-term changes in precipitation seasonality. . https://www.ipcc.ch/report/ar6/wg1/figures/chapter-8/box-8-2-figure-1
[8] IPCC. (2023). Figure 10.19 | Changes in the Indian summer monsoon in the historical and future periods. In IPCC, 2023: Chapter 10. https://www.ipcc.ch/report/ar6/wg1/figures/chapter-10/figure-10-19
[9] 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
[10] 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
[11] IPCC. (2023). Figure 4.34 | Simulated changes in climate indices for SSP5-3.4-OS plotted against atmospheric CO2 concentration (ppm) from 480 up to 571 and back to 496 by 2100. In IPCC, 2023: Chapter 4. https://www.ipcc.ch/report/ar6/wg1/figures/chapter-4/figure-4-34
[12] IPCC. (2023). Figure 4.40 | Simulated climate changes up to 2300 under the extended SSP scenarios. In IPCC, 2023: Chapter 4. https://www.ipcc.ch/report/ar6/wg1/figures/chapter-4/figure-4-40
[13] 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
[14] IPCC. (2023). Figure 8.21 | Schematic depicting large-scale circulation changes and impacts on the regional water cycle. In IPCC, 2023: Chapter 8. https://www.ipcc.ch/report/ar6/wg1/figures/chapter-8/figure-8-21
[15] 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
[16] DOI Jury, M.; Turner, A. (2023). Chapter 10 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 10.19 (v20220622). doi:10.5285/e79aab21bf644e61bf5dacd02199daa3
[17] DOI Sénési, S. (2023). Chapter 8 of the Working Group I Contribution to the IPCC Sixth Assessment Report - Input data for Figure 8.16 (v20220718). doi:10.5285/92dc7ae089d84a43a28099ae49633383
[18] 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
[19] DOI Sénési, S. (2023). Chapter 8 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 8.21 (v20220718). doi:10.5285/b03a4577108545c2a05bbae2d9759f9d
[20] 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
[21] IPCC. (2023). Code for Figure 8.16 of the Working Group I Contribution to the IPCC Sixth Assessment Report. https://github.com/IPCC-WG1/Chapter-8
[22] IPCC. (2023). Code for Figure 8.21 of the Working Group I Contribution to the IPCC Sixth Assessment Report. https://github.com/IPCC-WG1/Chapter-8
[23] IPCC. (2023). Code for Box8.2 Figure 1 of the Working Group I Contribution to the IPCC Sixth Assessment Report. https://github.com/IPCC-WG1/Chapter-8
[24] IPCC. (2023). Code for Figure 10.19 of the Working Group I Contribution to the IPCC Sixth Assessment Report. https://github.com/IPCC-WG1/Chapter-10_Fig19
[25] IPCC. (2023). Code for Figure FAQ11.1.1 of the Working Group I Contribution to the IPCC Sixth Assessment Report. https://github.com/IPCC-WG1/Chapter-11/blob/main/code/FAQ_11.1_Figure_1_mean_vs_extreme.ipynb
[26] DOI Sénési, Stéphane. (2021). IPCC WGI AR6 Chapter 8. doi:10.5281/zenodo.5217343
[27] DOI Sénési, Stéphane. (2021). IPCC WGI AR6 Chapter 8. doi:10.5281/zenodo.5217343
[28] DOI Sénési, Stéphane. (2021). IPCC WGI AR6 Chapter 8. doi:10.5281/zenodo.5217343
[29] DOI Jury, M.W.; Turner, A. (2022). IPCC AR6 WGI - Figure 10.19. doi:10.5281/zenodo.6787528
[30] DOI Sénési, Stéphane. (2021). IPCC WGI AR6 Chapter 8. doi:10.5281/zenodo.5217343
[31] DOI Hauser, Mathias. (2023). IPCC AR6 WGI - Chapter 11. doi:10.5281/zenodo.7692016

Parent

CMIP6 ScenarioMIP NCAR CESM2-WACCM ssp585
Details

Parent project(s)

Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets

[Entry acronym: C6SPNRCESWs585r111Amprgn00702] [Entry id: 3924192]