CMIP6 CMIP NIMS-KMA KACE-1-0-G historical r1i1p1f1 day tasmax gr v20200316

Byun, Young-Hwa et al.

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.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
1850-01-01 to 2014-12-30 (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
3.20 GiB (3436730805 Byte)
Format
NetCDF
Status
completely archived
Creation Date
Future Review Date
2032-03-16
Download Permission
Please login to check permission and download options
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
air_temperatureCF
tasmax (IPCC_DDC_AR6: 1098)
dayK

Is source of

[1] IPCC. (2021). Table 11.SM.2 | Multi-model median regional changes in annual hottest daily maximum temperature (TXx) for the globe, global ocean, global land, global land excluding Antarctica, and AR6 land regions for three global warming levels (GWLs) as simulated by CMIP6 models under the forcing scenarios SSP1-1.9, SSP1-2.6, SSP2-4.5, SSP3-7.0 and SSP5-8.5. In IPCC, 2021: Chapter 11SM. https://www.ipcc.ch/report/ar6/wg1/downloads/report/IPCC_AR6_WGI_Chapter11_SM.pdf
[2] IPCC. (2023). Cross-Chapter Box 3.2, Figure 1 | Comparison of observed and simulated changes in global mean temperature and precipitation extremes. In IPCC, 2023: Chapter 3. https://www.ipcc.ch/report/ar6/wg1/figures/chapter-3/ccbox-3-2-figure-1
[3] IPCC. (2023). Figure 11.3 | Regional mean changes in annual hottest daily maximum temperature (TXx) for AR6 land regions and the global land area (except Antarctica), against changes in global mean surface air temperature (GSAT) as simulated by Coupled Model Intercomparison Project Phase 6 (CMIP6) models under different Shared Socio-economic Pathway (SSP) forcing scenarios, SSP1-1.9, SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5. In IPCC, 2023: Chapter 11. https://www.ipcc.ch/report/ar6/wg1/figures/chapter-11/figure-11-3
[4] 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
[5] IPCC. (2023). Figure 11.11 | Projected changes in (a–c) annual maximum temperature (TXx) and (d–f) annual minimum temperature (TNn) at 1.5°C, 2°C, and 4°C of global warming compared to the 1850–1900 baseline. In IPCC, 2023: Chapter 11. https://www.ipcc.ch/report/ar6/wg1/figures/chapter-11/figure-11-11
[6] DOI Malinina, E. (2023). Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Cross-Chapter Box 3.2, Figure 1 (v20220615). doi:10.5285/73c576b685c049258dd578f5487885f2
[7] DOI Hauser, M. (2023). Chapter 11 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 11.11 (v20220117). doi:10.5285/3f415b44b4334725bfcc572c9246aa60
[8] DOI Hauser, M. (2023). Chapter 11 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 11.3 (v20220629). doi:10.5285/592748a417ab4efca4eb98e22c9dbec4
[9] IPCC. (2023). Code for Figure CCB3.2.1 of the Working Group I Contribution to the IPCC Sixth Assessment Report. https://github.com/IPCC-WG1/Chapter-3_CCBOX3.2_Fig1
[10] IPCC. (2023). Code for Figure 11.3 of the Working Group I Contribution to the IPCC Sixth Assessment Report. https://github.com/IPCC-WG1/Chapter-11/blob/main/code/Figure_11.3_TXx_scaling.ipynb
[11] IPCC. (2023). Code for Figure 11.11 of the Working Group I Contribution to the IPCC Sixth Assessment Report. https://github.com/IPCC-WG1/Chapter-11
[12] 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
[13] IPCC. (2023). Code for Figure Table11.SM.2 of the Working Group I Contribution to the IPCC Sixth Assessment Report. https://github.com/IPCC-WG1/Chapter-11
[14] DOI Hauser, Mathias. (2023). IPCC AR6 WGI - Chapter 11. doi:10.5281/zenodo.7692016
[15] DOI Hauser, Mathias. (2023). IPCC AR6 WGI - Chapter 11. doi:10.5281/zenodo.7692016
[16] DOI Hauser, Mathias. (2023). IPCC AR6 WGI - Chapter 11. doi:10.5281/zenodo.7692016

Parent

CMIP6 CMIP NIMS-KMA KACE-1-0-G historical
Details
[Entry acronym: C6CMNKK1hir111Dtmald00316] [Entry id: 3953159]