CMIP6 CMIP NOAA-GFDL GFDL-ESM4 historical r1i1p1f1 AERmon mmrbc gr1 v20190726

hdl:21.14100/8c721101-6973-346c-a23a-438d46bf1d28

Krasting, John P. et al.

Dataset
climate changeCMIPCMIP6GFDL-ESM4historicalIPCCIPCC-AR6IPCC-DDCmmrbcNOAA-GFDL
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.NOAA-GFDL.GFDL-ESM4.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 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 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
11.00 GiB (11810942940 Byte)
Format
NetCDF
Status
completely archived
Creation Date
Future Review Date
2032-07-26
Download Permission
Please login to check permission and download options
Preview data headers
Cite as
[ Derived from parent entry - See data hierarchy tab ]
Krasting, John P.; John, Jasmin G; Blanton, Chris; McHugh, Colleen; Nikonov, Serguei; Radhakrishnan, Aparna; Rand, Kristopher; Zadeh, Niki T.; Balaji, V; Durachta, Jeff; Dupuis, Christopher; Menzel, Raymond; Robinson, Thomas; Underwood, Seth; Vahlenkamp, Hans; Dunne, Krista A.; Gauthier, Paul PG; Ginoux, Paul; Griffies, Stephen M.; Hallberg, Robert; Harrison, Matthew; Hurlin, William; Malyshev, Sergey; Naik, Vaishali; Paulot, Fabien; Paynter, David J; Ploshay, Jeffrey; Reichl, Brandon G; Schwarzkopf, Daniel M; Seman, Charles J; Silvers, Levi; Wyman, Bruce; Zeng, Yujin; Adcroft, Alistair; Dunne, John P.; Dussin, Raphael; Guo, Huan; He, Jian; Held, Isaac M; Horowitz, Larry W.; Lin, Pu; Milly, P.C.D; Shevliakova, Elena; Stock, Charles; Winton, Michael; Wittenberg, Andrew T.; Xie, Yuanyu; Zhao, Ming (2023). IPCC DDC: NOAA-GFDL GFDL-ESM4 model output prepared for CMIP6 CMIP historical. World Data Center for Climate (WDCC) at DKRZ. https://doi.org/10.26050/WDCC/AR6.C6CMNGGFEhi

BibTeX RIS
VariableCodeAggregationUnit
mass_fraction_of_elemental_carbon_dry_aerosol_particles_in_air
CF
mmrbc (IPCC_DDC_AR6: 577)
monkg kg-1

Is referenced by

[1] DOI IPCC Data Distribution Centre. (2025). CMIP6 input data usage information for IPCC WGI AR6 figure 6.21. doi:10.5281/zenodo.14986447
[2] DOI IPCC Data Distribution Centre. (2025). CMIP6 input data usage information for IPCC WGI AR6 figure 6.SM.4. doi:10.5281/zenodo.14986449

Is source of

[1] IPCC. (2023). Figure 6.21 | Future changes in regional five-year mean surface PM2.5 from 2015 to 2100 in different shared socio-economic pathways (SSPs). In IPCC, 2023: Chapter 6. https://www.ipcc.ch/report/ar6/wg1/figures/chapter-6/figure-6-21
[2] IPCC. (2021). Figure 6.SM.4 | Future global and regional changes in annual mean surface PM2.5, relative to the 2005–2014 mean, for the different SSPs used in CMIP6. Each line represents a multi-model mean across the region with shading representing the ±1 standard deviation in the mean. In IPCC, 2021: Chapter 6SM. https://www.ipcc.ch/report/ar6/wg1/downloads/report/IPCC_AR6_WGI_Chapter06_SM.pdf
[3] DOI Turnock, S.; Szopa, S.; Naik, V. (2023). Chapter 6 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 6.21 (v20220928). doi:10.5285/572c9744ddab47fc8a5b938c4a4f7387
[4] DOI Turnock, S.; Szopa, S.; Naik, V.; Van Dingenen, R. (2023). Chapter 6 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 6.SM.4 (v20220930). doi:10.5285/56c283c79666449ebe0235e809bdb69f
[5] IPCC. (2023). Code for Figure 6.21 of the Working Group I Contribution to the IPCC Sixth Assessment Report. https://github.com/IPCC-WG1/Chapter-6_Fig21
[6] IPCC. (2023). Code for Figure 6.SM.4 of the Working Group I Contribution to the IPCC Sixth Assessment Report. https://github.com/IPCC-WG1/Chapter-6_SM4
[7] DOI Turnock, Steven. (2023). IPCC-WG1 Chapter-6_Fig21. doi:10.5281/zenodo.7638565
[8] DOI Turnock, Steven. (2023). IPCC AR6 WGI - Figure 6.SM4. doi:10.5281/zenodo.7940743

Parent

CMIP6 CMIP NOAA-GFDL GFDL-ESM4 historical
Details

Parent project(s)

Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets

[Entry acronym: C6CMNGGFEhir111AEmrbcUx90726] [Entry id: 3962256]