CMIP6 DAMIP NOAA-GFDL GFDL-ESM4 hist-nat r1i1p1f1 Amon tas gr1 v20180701

Horowitz, Larry W. 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.DAMIP.NOAA-GFDL.GFDL-ESM4.hist-nat' 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 GFDL-ESM4 climate model, released in 2018, includes the following components: aerosol: interactive, atmos: GFDL-AM4.1 (Cubed-sphere (c96) - 1 degree nominal horizontal resolution; 360 x 180 longitude/latitude; 49 levels; top level 1 Pa), atmosChem: GFDL-ATMCHEM4.1 (full atmospheric chemistry), land: GFDL-LM4.1, landIce: GFDL-LM4.1, ocean: GFDL-OM4p5 (GFDL-MOM6, tripolar - nominal 0.5 deg; 720 x 576 longitude/latitude; 75 levels; top grid cell 0-2 m), ocnBgchem: GFDL-COBALTv2, seaIce: GFDL-SIM4p5 (GFDL-SIS2.0, tripolar - nominal 0.5 deg; 720 x 576 longitude/latitude; 5 layers; 5 thickness categories). The model was run by the National Oceanic and Atmospheric Administration, Geophysical Fluid Dynamics Laboratory, Princeton, NJ 08540, USA (NOAA-GFDL) in native nominal resolutions: aerosol: 100 km, atmos: 100 km, atmosChem: 100 km, land: 100 km, landIce: 100 km, ocean: 50 km, ocnBgchem: 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
1850-01-16 to 2020-12-16 (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
227.72 MiB (238783824 Byte)
Format
NetCDF
Status
completely archived
Creation Date
Future Review Date
2032-07-01
Download Permission
Please login to check permission and download options
Cite as
[ Derived from parent entry - See data hierarchy tab ]
Horowitz, Larry W.; John, Jasmin G.; Blanton, Chris; McHugh, Colleen; Radhakrishnan, Aparna; Rand, Kristopher; Vahlenkamp, Hans; Zadeh, Niki T.; Wilson, Chandin; Dunne, John P.; Ploshay, Jeffrey; Winton, Michael; Zeng, Yujin (2023). IPCC DDC: NOAA-GFDL GFDL-ESM4 model output prepared for CMIP6 DAMIP hist-nat. World Data Center for Climate (WDCC) at DKRZ. https://doi.org/10.26050/WDCC/AR6.C6DANGGFDHN

BibTeX RIS
VariableCodeAggregationUnit
air_temperatureCF
tas (IPCC_DDC_AR6: 1095)
monK

Is source of

[1] IPCC. (2023). FAQ 3.1, Figure 1 | Observed warming (1850–2019) is only reproduced in simulations including human influence. In IPCC, 2023: Chapter 3. https://www.ipcc.ch/report/ar6/wg1/figures/chapter-3/faq-3-1-figure-1
[2] IPCC. (2023). Figure 3.9 | Global, land, ocean and continental annual mean near-surface air temperatures anomalies in CMIP6 models and observations. In IPCC, 2023: Chapter 3. https://www.ipcc.ch/report/ar6/wg1/figures/chapter-3/figure-3-9
[3] IPCC. (2023). Figure 3.7 | Regression coefficients and corresponding attributable warming estimates for individual CMIP6 models. In IPCC, 2023: Chapter 3. https://www.ipcc.ch/report/ar6/wg1/figures/chapter-3/figure-3-7
[4] IPCC. (2023). Figure 3.8 | Assessed contributions to observed warming, and supporting lines of evidence. In IPCC, 2023: Chapter 3. https://www.ipcc.ch/report/ar6/wg1/figures/chapter-3/figure-3-8
[5] IPCC. (2023). Figure 3.41 | Summary figure showing simulated and observed changes in key large-scale indicators of climate change across the climate system, for continental, ocean basin and larger scales. In IPCC, 2023: Chapter 3. https://www.ipcc.ch/report/ar6/wg1/figures/chapter-3/figure-3-41
[6] DOI Bock, L. (2023). Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.9 (v20211028). doi:10.5285/bbb759da50fe4cd5a1387c7462655908
[7] DOI Gillett, N.; Malinina, E. (2023). Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for FAQ 3.1, Figure 1 (v20220615). doi:10.5285/c03ba3e2a7314f848e41a3a724bd8d25
[8] DOI Bock, L. (2023). Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.41 (v20211028). doi:10.5285/43b0c376ad184543a1bbceeceec0e85d
[9] DOI Gillett, N.; Malinina, E. (2023). Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.8 (v20220613). doi:10.5285/bf3d0b8a8c0d4ae19cfd994b6fef4a5c
[10] DOI Gillett, N.; Malinina, E. (2023). Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.7 (v20220613). doi:10.5285/392c8351349b4436923c102c558873d9
[11] IPCC. (2023). Code for Figure 3.7 of the Working Group I Contribution to the IPCC Sixth Assessment Report. https://github.com/IPCC-WG1/Chapter-3_Fig07
[12] IPCC. (2023). Code for Figure 3.8 of the Working Group I Contribution to the IPCC Sixth Assessment Report. https://github.com/IPCC-WG1/Chapter-3_Fig08
[13] IPCC. (2023). Code for Figure 3.9 of the Working Group I Contribution to the IPCC Sixth Assessment Report. https://github.com/IPCC-WG1/Chapter-3_Fig09
[14] IPCC. (2023). Code for Figure 3.41 of the Working Group I Contribution to the IPCC Sixth Assessment Report. https://github.com/IPCC-WG1/Chapter-3_Fig41
[15] DOI Gillett, N.; Kirchmeier-Young, M.; Cowtan, K. (2022). IPCC AR6 WGI - Figure 3.7. doi:10.5281/zenodo.6786710
[16] DOI Gillett, N.; Kirchmeier-Young, M; Cowtan, K. (2022). IPCC AR6 WGI - Figure 3.8. doi:10.5281/zenodo.6787130
[17] DOI Bock, L.; Gillett, N. (2022). IPCC AR6 WGI - Figure 3.9. doi:10.5281/zenodo.6656197
[18] DOI Bock, L.; Gillett, N. (2022). IPCC AR6 WGI - Figure 3.41. doi:10.5281/zenodo.6656913

Parent

CMIP6 DAMIP NOAA-GFDL GFDL-ESM4 hist-nat
Details
[Entry acronym: C6DANGGFDHNr111AmtasUx80701] [Entry id: 3944058]