CMIP6 ScenarioMIP NIMS-KMA KACE-1-0-G ssp245 r1i1p1f1 Amon evspsbl gr v20191125

hdl:21.14100/750d1d21-ef4d-3d06-a609-5dc60fb2c76c

Byun, Young-Hwa et al.

Dataset
climate changeCMIP6evspsblIPCCIPCC-AR6IPCC-DDCKACE-1-0-GNIMS-KMAScenarioMIPssp245
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.NIMS-KMA.KACE-1-0-G.ssp245' 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 KACE1.0-GLOMAP climate model, released in 2018, includes the following components: aerosol: UKCA-GLOMAP-mode, atmos: MetUM-HadGEM3-GA7.1 (N96; 192 x 144 longitude/latitude; 85 levels; top level 85 km), land: JULES-HadGEM3-GL7.1, ocean: MOM4p1 (tripolar primarily 1deg; 360 x 200 longitude/latitude; 50 levels; top grid cell 0-10 m), seaIce: CICE-HadGEM3-GSI8 (tripolar primarily 1deg; 360 x 200 longitude/latitude). The model was run by the National Institute of Meteorological Sciences/Korea Meteorological Administration, Climate Research Division, Seoho-bukro 33, Seogwipo-si, Jejudo 63568, Republic of Korea (NIMS-KMA) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, land: 250 km, ocean: 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
86.49 MiB (90690057 Byte)
Format
NetCDF
Status
completely archived
Creation Date
Future Review Date
2033-11-25
Download Permission
Please login to check permission and download options
Preview data headers
Cite as
[ Derived from parent entry - See data hierarchy tab ]
Byun, Young-Hwa; Lim, Yoon-Jin; Shim, Sungbo; Sung, Hyun Min; Sun, Minah; Kim, Jisun; Kim, Byeong-Hyeon; Lee, Jae-Hee; Moon, Hyejin (2023). IPCC DDC: NIMS-KMA KACE1.0-G model output prepared for CMIP6 ScenarioMIP ssp245. World Data Center for Climate (WDCC) at DKRZ. https://doi.org/10.26050/WDCC/AR6.C6SPNKK1s245

BibTeX RIS
VariableCodeAggregationUnit
water_evapotranspiration_flux
CF
evspsbl (IPCC_DDC_AR6: 309)
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 8.13. doi:10.5281/zenodo.14986453
[2] DOI IPCC Data Distribution Centre. (2025). CMIP6 input data usage information for IPCC WGI AR6 figure 8.17. doi:10.5281/zenodo.14986464

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 8.17 | Projected long-term relative changes in seasonal mean evapotranspiration. In IPCC, 2023: Chapter 8. https://www.ipcc.ch/report/ar6/wg1/figures/chapter-8/figure-8-17
[3] 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
[4] 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
[5] 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
[6] DOI Sénési, S. (2023). Chapter 8 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 8.17 (v20220718). doi:10.5285/7da00222bbb345c99ce14e358cde9f6d
[7] 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
[8] IPCC. (2023). Code for Figure 8.17 of the Working Group I Contribution to the IPCC Sixth Assessment Report. https://github.com/IPCC-WG1/Chapter-8
[9] DOI Sénési, Stéphane. (2021). IPCC WGI AR6 Chapter 8. doi:10.5281/zenodo.5217343
[10] DOI Sénési, Stéphane. (2021). IPCC WGI AR6 Chapter 8. doi:10.5281/zenodo.5217343

Parent

CMIP6 ScenarioMIP NIMS-KMA KACE-1-0-G ssp245
Details

Parent project(s)

Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets

[Entry acronym: C6SPNKK1s245r111Amevlld91125] [Entry id: 3967142]