CMIP6 CMIP NIMS-KMA KACE-1-0-G historical r1i1p1f1 Amon evspsbl gr v20190910

hdl:21.14100/4eb958e0-8469-3e01-a481-8b2262f44afc

Byun, Young-Hwa et al.

Dataset
climate changeCMIPCMIP6evspsblhistoricalIPCCIPCC-AR6IPCC-DDCKACE-1-0-GNIMS-KMA
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.NIMS-KMA.KACE-1-0-G.historical' 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
1850-01-16 to 2014-12-16 (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
166.04 MiB (174104695 Byte)
Format
NetCDF
Status
completely archived
Creation Date
Future Review Date
2032-09-10
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; Sung, Hyun Min; Kim, Jisun; Sun, Minah; Kim, Byeong-Hyeon (2023). IPCC DDC: NIMS-KMA KACE1.0-G model output prepared for CMIP6 CMIP historical. World Data Center for Climate (WDCC) at DKRZ. https://doi.org/10.26050/WDCC/AR6.C6CMNKK1hi

BibTeX RIS
VariableCodeAggregationUnit
water_evapotranspiration_fluxCF
evspsbl (IPCC_DDC_AR6: 309)
monkg m-2 s-1

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] 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
[6] 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
[7] 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
[8] 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
[9] 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
[10] 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
[11] 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
[12] DOI Sénési, Stéphane. (2021). IPCC WGI AR6 Chapter 8. doi:10.5281/zenodo.5217343
[13] DOI Sénési, Stéphane. (2021). IPCC WGI AR6 Chapter 8. doi:10.5281/zenodo.5217343
[14] DOI Sénési, Stéphane. (2021). IPCC WGI AR6 Chapter 8. doi:10.5281/zenodo.5217343

Parent

CMIP6 CMIP NIMS-KMA KACE-1-0-G historical
Details

Parent project(s)

Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets

[Entry acronym: C6CMNKK1hir111Amevlld90910] [Entry id: 3962223]