CMIP6 ScenarioMIP EC-Earth-Consortium EC-Earth3-AerChem ssp370 r1i1p1f1 AERmon mmrbc gn v20200827

EC-Earth Consortium (EC-Earth)

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.ScenarioMIP.EC-Earth-Consortium.EC-Earth3-AerChem.ssp370' 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 EC-Earth3-AerChem climate model, released in 2019, includes the following components: aerosol: TM5 (3 x 2 degrees; 120 x 90 longitude/latitude; 34 levels; top level: 0.1 hPa), atmos: IFS cy36r4 (TL255, linearly reduced Gaussian grid equivalent to 512 x 256 longitude/latitude; 91 levels; top level 0.01 hPa), atmosChem: TM5 (3 x 2 degrees; 120 x 90 longitude/latitude; 34 levels; top level: 0.1 hPa), land: HTESSEL (land surface scheme built in IFS), ocean: NEMO3.6 (ORCA1 tripolar primarily 1 degree with meridional refinement down to 1/3 degree in the tropics; 362 x 292 longitude/latitude; 75 levels; top grid cell 0-1 m), seaIce: LIM3. The model was run by the AEMET, Spain; BSC, Spain; CNR-ISAC, Italy; DMI, Denmark; ENEA, Italy; FMI, Finland; Geomar, Germany; ICHEC, Ireland; ICTP, Italy; IDL, Portugal; IMAU, The Netherlands; IPMA, Portugal; KIT, Karlsruhe, Germany; KNMI, The Netherlands; Lund University, Sweden; Met Eireann, Ireland; NLeSC, The Netherlands; NTNU, Norway; Oxford University, UK; surfSARA, The Netherlands; SMHI, Sweden; Stockholm University, Sweden; Unite ASTR, Belgium; University College Dublin, Ireland; University of Bergen, Norway; University of Copenhagen, Denmark; University of Helsinki, Finland; University of Santiago de Compostela, Spain; Uppsala University, Sweden; Utrecht University, The Netherlands; Vrije Universiteit Amsterdam, the Netherlands; Wageningen University, The Netherlands. Mailing address: EC-Earth consortium, Rossby Center, Swedish Meteorological and Hydrological Institute/SMHI, SE-601 76 Norrkoping, Sweden (EC-Earth-Consortium) in native nominal resolutions: aerosol: 250 km, atmos: 100 km, atmosChem: 250 km, land: 100 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
1.29 GiB (1388945168 Byte)
Format
NetCDF
Status
completely archived
Creation Date
Future Review Date
2032-08-27
Download Permission
Please login to check permission and download options
Cite as
[ Derived from parent entry - See data hierarchy tab ]
EC-Earth Consortium (EC-Earth) (2023). IPCC DDC: EC-Earth-Consortium EC-Earth3-AerChem model output prepared for CMIP6 ScenarioMIP. World Data Center for Climate (WDCC) at DKRZ. https://doi.org/10.26050/WDCC/AR6.C6SPEEEEA

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

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 ScenarioMIP EC-Earth-Consortium EC-Earth3-AerChem ssp370
Details
[Entry acronym: C6SPEEEEAs370r111AEmrbcgn00827] [Entry id: 3964683]