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Global climate projections are simulations of the climate system performed with general circulation models which represent physical processes in the atmosphere, ocean, cryosphere and land surface. These models may cover the entire globe or a specific region AH: I AM CONFUSED HERE, SINCE I GUESS THE GLOBAL MODELS COVER ALWAYS THE GLOVBE AND NOT JUST A REGION!  and globe and use information about the external influences on the system. Such simulations have been generated by multiple independent climate research centres in an effort coordinated by the World Climate Research Program (WCRP) and assessed by the Intergovernmental Panel on Climate Change (IPCC). These climate projections underpin the conclusions of the IPCC Assessment Reports that “Continued emission of greenhouse gases will cause further warming and long-lasting changes in all components of the climate system, increasing the likelihood of severe, pervasive and irreversible impacts for people and ecosystems”.

...

 Analysis of the CMIP data allows for

  • improving an improved understanding of the climate, including its variability and change,
  • improving an improved understanding of the societal and environmental implications of climate change in terms of impacts, adaptation and vulnerability,
  • informing the Intergovernmental Panel on Climate Change (IPCC) reports.

...

  • determining why similarly forced models to produce a range of responses,
  • evaluating how realistic the different models are in simulating the recent past,
  • examining climate predictability.

...

The sixth phase of the Coupled Model Intercomparison Project (CMIP6) consists of 134 models from 51 modelling centers 53 modelling centres (Durack, 2020). CMIP6 data publication began in 2019 and the majority of the data publication will be completed by 2022. The scientific analyses from CMIP6 will be used extensively in the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6), due for release in 2021/22 (IPCC, 2020).

CMIP6 aims to address 3 main questions:

...

The global climate projections in the Climate Data Store (CDS) are a quality-controlled subset of the wider CMIP6 data. These data represent only a small subset of CMIP6 archive. A set of 51 core variables from the CMIP6 archive were identified for the CDS. These variables are provided from 9 of the most popular CMIP6 experiments.

 The CDS subset of CMIP6 data has been through a quality control procedure which ensures a high standard of dependability of the data. It may be for example, that similar data can be found in the main CMIP6 ESGF archive however these data come with very limited quality assurance and may have metadata errors or omissions.

...

Expand
titleClick here to expand... CMIP6 experiments included in the CDS


over

Experiment name

Extended Description

historical

The historical experiment is a simulation of the recent past from 1850 to 2014, it is performed with a coupled atmosphere-ocean general circulation model (AOGCM). In the historical simulations the model is forced with changing conditions (consistent with observations) which include atmospheric composition, land use and solar forcing. The initial conditions for the historical simulation are taken from the pre-industrial control simulation (piControl) at a point where the remaining length of the piControl is sufficient to extend beyond the period of the historical simulation to the end of any future "scenario" simulations run by the same model. The historical simulation is used to evaluate model performance against present climate and observed climate change.

SSP5-8.5

SSP5-8.5

ssp585

ssp585 is a scenario experiment extending into the near future from 2015 to 2100, it is performed with a coupled atmosphere-ocean general circulation model (AOGCM). The forcing for the CMIP6 SSP experiments is derived from shared socioeconomic pathways (SSPs), a set of emission scenarios driven by different socioeconomic assumptions, paired with representative concentration pathways (RCPs), global forcing pathways which lead to specific end of century radiative forcing targets. SSP5-8. ssp585 5 is based on SSP5 in which climate change mitigation challenges dominate and RCP8.5, a future pathway with a radiative forcing of 8.5 W/m2 in the year 2100. The ssp585 scenario represents the high end of plausible future forcing pathways.  ssp585 SSP5-8.5 is comparable to the CMIP5 experiment RCP8.5.

SSP3-7.0

SSP3-7.0

ssp370

ssp370 is a scenario experiment extending into the near future from 2015 to 2100, it is performed with a coupled atmosphere-ocean general circulation model (AOGCM). The forcing for the CMIP6 SSP experiments is derived from shared socioeconomic pathways (SSPs), a set of emission scenarios driven by different socioeconomic assumptions, paired with representative concentration pathways (RCPs), global forcing pathways which lead to specific end of century radiative forcing targets. ssp370 SSP3-7.0 is based on SSP3 in which climate change mitigation and adaptation challenges are high and RCP7.0, a future pathway with a radiative forcing of 7.0 W/m2 in the year 2100. The ssp370 SSP3-7.0 scenario represents the medium to high end of plausible future forcing pathways. ssp370 SSP3-7.0 fills a gap in the CMIP5 forcing pathways that is particularly important because it represents a forcing level common to several (unmitigated) SSP baseline pathways.

SSP2-4.5

SSP2-4.5

ssp245

ssp245 is a scenario experiment extending into the near future from 2015 to 2100, it is performed with a coupled atmosphere-ocean general circulation model (AOGCM). The forcing for the CMIP6 SSP experiments is derived from shared socioeconomic pathways (SSPs), a set of emission scenarios driven by different socioeconomic assumptions, paired with representative concentration pathways (RCPs), global forcing pathways which lead to specific end of century radiative forcing targets. ssp245 SSP2-4.5 is based on SSP2 with intermediate climate change mitigation and adaptation challenges and RCP4.5, a future pathway with a radiative forcing of 4.5 W/m2 in the year 2100. The ssp245 scenario represents the medium part of plausible future forcing pathways. ssp245 SSP2-4.5 is comparable to the CMIP5 experiment RCP4.5.

SSP1-2.6

SSP1-2.6

ssp126

ssp126 is a scenario experiment extending into the near future from 2015 to 2100, it is performed with a coupled atmosphere-ocean general circulation model (AOGCM). The forcing for the CMIP6 SSP experiments is derived from shared socioeconomic pathways (SSPs), a set of emission scenarios driven by different socioeconomic assumptions, paired with representative concentration pathways (RCPs), global forcing pathways which lead to specific end of century radiative forcing targets. SSP1-2. ssp126 6 is based on SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100. The ssp126 SSP1-2.6 scenario represents the low end of plausible future forcing pathways. SSP1-2. ssp126 6 depicts a "best case" future from a sustainability perspective.

SSP4-6.0

SSP4-6.0

ssp460

ssp460 is a scenario experiment extending into the near future from 2015 to 2100, it is performed with a coupled atmosphere-ocean general circulation model (AOGCM). The forcing for the CMIP6 SSP experiments is derived from shared socioeconomic pathways (SSPs), a set of emission scenarios driven by different socioeconomic assumptions, paired with representative concentration pathways (RCPs), global forcing pathways which lead to specific end of century radiative forcing targets. SSP4-6. ssp460 0 is based on SSP4 in which climate change adaptation challenges dominate and RCP6.0, a future pathway with a radiative forcing of 6.0 W/m2 in the year 2100. The ssp460 SSP4-6.0 scenario fills in the range of medium plausible future forcing pathways. SSP4-6. ssp370 0 defines the low end of the forcing range for unmitigated SSP baseline scenarios.

SSP4-3.4

SSP4-3.4

ssp434

ssp434 is a scenario experiment extending into the near future from 2015 to 2100, it is performed with a coupled atmosphere-ocean general circulation model (AOGCM). The forcing for the CMIP6 SSP experiments is derived from shared socioeconomic pathways (SSPs), a set of emission scenarios driven by different socioeconomic assumptions, paired with representative concentration pathways (RCPs), global forcing pathways which lead to specific end of century radiative forcing targets. SSP4-3. ssp434 4 is based on SSP4 in which climate change adaptation challenges dominate and RCP3.4, a future pathway with a radiative forcing of 3.4 W/m2 in the year 2100. The ssp434 SSP4-3.4 scenario fills a gap at the low end of the range of plausible future forcing pathways. SSP4-3. ssp370 4 is of interest to mitigation policy since mitigation costs differ substantially between forcing levels of 4.5 W/m2 and 2.6 W/m2.ssp534

SSP5-

3.4OS

ssp534SSP5-over 3.4OS is a scenario experiment with simulations beginning in the mid-21st century running from 2040 to 2100, it is performed with a coupled atmosphere-ocean general circulation model (AOGCM). The forcing for the CMIP6 SSP experiments is derived from shared socioeconomic pathways (SSPs), a set of emission scenarios driven by different socioeconomic assumptions, paired with representative concentration pathways (RCPs), global forcing pathways which lead to specific end of century radiative forcing targets. ssp534SSP5-over 3.4OS is based on SSP5 in which climate change mitigation challenges dominate and RCP3.4-over, a future pathway with a peak and decline in forcing towards an eventual radiative forcing of 3.4 W/m2 in the year 2100. The ssp534SSP5-over 3.4OS scenario branches from ssp585 SSP5-8.5 in the year 2040 whereupon it applies substantially negative net emissions. ssp534SSP5-over 3.4OS explores the climate science and policy implications of a peak and decline in forcing during the 21st century. SSP5-3. ssp534 4OS fills a gap in existing climate simulations by investigating the implications of a substantial overshoot in radiative forcing relative to a longer-term target.

SSP1-1.9

SSP1-1.9

ssp119

ssp119 is a scenario experiment extending into the near future from 2015 to 2100, it is performed with a coupled atmosphere-ocean general circulation model (AOGCM). The forcing for the CMIP6 SSP experiments is derived from shared socioeconomic pathways (SSPs), a set of emission scenarios driven by different socioeconomic assumptions, paired with representative concentration pathways (RCPs), global forcing pathways which lead to specific end of century radiative forcing targets. SSP1-1. ssp119 9 is based on SSP1 with low climate change mitigation and adaptation challenges and RCP1.9, a future pathway with a radiative forcing of 1.9 W/m2 in the year 2100. The ssp119 SSP1-1.9 scenario fills a gap at the very low end of the range of plausible future forcing pathways. SSP1-1. ssp119 9 forcing will be substantially below ssp126 SSP1-2.6 in 2100. There is policy interest in low-forcing scenarios that would inform a possible goal of limiting global mean warming to 1.5°C above pre-industrial levels based on the Paris COP21 agreement.


Models, grids and pressure levels

Models 

The models included in the CDS-CMIP6 subset are detailed in the table below including a brief description of the model where this information is readily available, further details can be found on the Earth System Documentation site.

...

The model used in climate research named BCC-CSM 2 MR was released in 2017.
The model was run by the Beijing Climate Center, Beijing, China (BCC) in native nominal resolutions: atmosphere
Expand
titleClick here to expand...Global climate models included in the CDS


Model Name

Modelling Centre

Model Details 

ACCESS-CM2 (released in 2019)

CSIRO-ARCCSS (Commonwealth Scientific and Industrial Research Organisation, Australian Research Council Centre of Excellence for Climate System Science)

The model

used in climate research named Australian Community Climate and Earth System Simulator Climate Model Version 2 was released in 2019.
The model was run by the CSIRO (Commonwealth Scientific and Industrial Research Organisation, Aspendale, Victoria 3195, Australia), ARCCSS (Australian Research Council Centre of Excellence for Climate System Science). Mailing address: CSIRO, c/o Simon J. Marsland, 107-121 Station Street, Aspendale, Victoria 3195, Australia AH: DO WE REALLY NEED THE PRECISE ADDRESS OF THE INSTITUTE?  (CSIRO-ARCCSS)

includes the components: aerosol: UKCA-GLOMAP-mode, atmos: MetUM-HadGEM3-GA7.1 (N96; 192 x 144 longitude/latitude; 85 levels; top-level 85 km), land: CABLE2.5, ocean: ACCESS-OM2 (GFDL-MOM5, tripolar primarily 1deg; 360 x 300 longitude/latitude; 50 levels; top grid cell 0-10 m), seaIce: CICE5.1.2 (same grid as ocean). The model was run in native nominal resolutions: aerosol: 250 km, atmosphere: 250 km, land: 250 km, ocean: 100 km, seaIce: 100 km.

ACCESS-ESM1-

5

5 (released in 2019)

CSIRO (
CSIRO (
Commonwealth Scientific and Industrial Research Organisation)The model
used in climate research named Australian Community Climate and Earth System Simulator Earth System Model Version 1.5 was released in 2019.
The model was run by the Commonwealth Scientific and Industrial Research Organisation, Aspendale, Victoria, Australia (CSIRO) in native nominal resolutions: aerosol: 250 km, atmosphere: 250 km, land: 250 km, ocean: 100 km, ocean biogeochemistry: 100 km, seaIce: 100

AWI-ESM-1-1-LR

AWI (Alfred Wegener Institute)AWI-ESM 1.1 LR is an extension of the AWI-CM for earth system modelling. DO WE HAVE ANY INFORMATION ABOUT RESOLUTION? IT IS LR, SO IT SHOULD BE LOWER RESOLUTION, I GUESS.

BCC-CSM2-MR

BCC (Beijing Climate Center)
includes the components: aerosol: CLASSIC (v1.0), atmos: HadGAM2 (r1.1, N96; 192 x 145 longitude/latitude; 38 levels; top level 39255 m), land: CABLE2.4, ocean: ACCESS-OM2 (MOM5, tripolar primarily 1deg; 360 x 300 longitude/latitude; 50 levels; top grid cell 0-10 m), ocnBgchem: WOMBAT (same grid as ocean), seaIce: CICE4.1 (same grid as ocean). The model was run in native nominal resolutions: aerosol: 250 km, atmosphere: 250 km, land: 250 km, ocean: 100 km, ocean biogeochemistry: 100 km, seaIce: 100 km.

AWI-CM-1-1-MR (released in 2018)

AWI (Alfred Wegener Institute)

AWI-CM 1.1 MR is the Alfred Wegener Institute Climate Model, it couples a medium-resolution "MR" Finite Element Sea Ice-Ocean Model (FESOM) to the ECHAM6 atmospheric model. The spatial resolution of the FESOM MR grid is locally increased up to 8 km in regions of high sea surface height (SSH) variability and reduced to 80 km over areas with low SSH variability. DO WE KNOW ANYTHING ABOUT THE RESOLUTION OF THE ATMOSPHERIC MODEL?

The model includes the components: atmos: ECHAM6.3.04p1 (T127L95 native atmosphere T127 gaussian grid; 384 x 192 longitude/latitude; 95 levels; top level 80 km), land: JSBACH 3.20, ocean: FESOM 1.4 (unstructured grid in the horizontal with 830305 wet nodes; 46 levels; top grid cell 0-5 m), seaIce: FESOM 1.4. The model was run in native nominal resolutions: atmos: 100 km, land: 100 km, ocean:

50

25 km, seaIce:

50

25 km.

BCC-ESM1

BCC  (Beijing Climate Center)The model used in climate research named BCC-ESM 1 was released in 2017. 
The model was run by the Beijing Climate Center, Beijing, China (BCC) in native nominal resolutions: atmosphere: 250 km, atmospheric chemistry: 250 km, land: 250 km, ocean: 50 km, seaIce: 50 km.

CAMS-CSM1-0

CAMS (Chinese Academy of Meteorological Sciences)The model used in climate research named CAMS-CSM 1.0 was released in 2016.
The model was run by the Chinese Academy of Meteorological Sciences, Beijing, China (CAMS) in native nominal resolutions: atmosphere: 100 km, land: 100 km, ocean: 100 km, seaIce: 100 km.

CanESM5

CCCma (Canadian Centre for Climate Modelling and Analysis)The model used in climate research named CanESM5 was released in 2019.
The model was run by the Canadian Centre for Climate Modelling and Analysis, Environment and Climate Change Canada, Victoria, Canada (CCCma) in native nominal resolutions: aerosol: 500 km, atmosphere: 500 km, atmospheric chemistry: 500 km, land: 500 km, landIce: 500 km, ocean: 100 km, ocean biogeochemistry: 100 km, seaIce: 100 km.

CanESM5-CanOE

CCCma (Canadian Centre for Climate Modelling and Analysis)CanESM5-CanOE is identical to CanESM5, except that CMOC was replaced with CanOE (Canadian Ocean Ecosystem model).

CAS-ESM2-0

CAS (Chinese Academy of Sciences)The model used in climate research named CAS-ESM 2.0 (Chinese Academy of Sciences Earth System Model version 2.0) was released in 2019.
The model was run by the Chinese Academy of Sciences, Beijing 100029, China (CAS) in native nominal resolutions: aerosol: 100 km, atmos: 100 km, atmosChem: 100 km, land: 100 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km.

CESM2

NCAR (National Center for Atmospheric Research)The Community Earth System Model version 2 (CESM2) is a state-of-the-art coupled model that includes ocean, wave, land, land-ice, sea-ice, and river runoff models as well as both low-top and high-top full chemistry versions of atmopsheric models. The model also includes biogeochemistry.

CESM2-FV2

NCAR (National Center for Atmospheric Research)

The model used in climate research named CESM2-FV2 was released in 2019, includes the components.
The model was run by the National Center for Atmospheric Research, Climate and Global Dynamics Laboratory, 1850 Table Mesa Drive, Boulder, CO 80305, USA (NCAR) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, atmosChem: 250 km, land: 250 km, landIce: 5 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km.

CESM2-WACCM

NCAR (National Center for Atmospheric Research)

AWI-ESM-1-1-LR (released in 2018)

AWI (Alfred Wegener Institute)The model includes the components: atmos: ECHAM6.3.04p1 (T63L47 native atmosphere T63 gaussian grid; 192 x 96 longitude/latitude; 47 levels; top-level 80 km), land: JSBACH 3.20 with dynamic vegetation, ocean: FESOM 1.4 (unstructured grid in the horizontal with 126859 wet nodes; 46 levels; top grid cell 0-5 m), seaIce: FESOM 1.4. AWI-ESM 1.1 LR is an extension of the AWI-CM for earth system modelling. The model was run in native nominal resolutions: atmos: 250 km, land: 250 km, ocean: 50 km, seaIce: 50 km.

BCC-CSM2-MR (released in 2017)

BCC (Beijing Climate Center)The model includes the components: atmos: BCC_AGCM3_MR (T106; 320 x 160 longitude/latitude; 46 levels; top level 1.46 hPa), land: BCC_AVIM2, ocean: MOM4 (1/3 deg 10S-10N, 1/3-1 deg 10-30 N/S, and 1 deg in high latitudes; 360 x 232 longitude/latitude; 40 levels; top grid cell 0-10 m), seaIce: SIS2. The model was run in native nominal resolutions: atmosphere: 100 km, land: 100 km, ocean: 50 km, seaIce: 50 km.

BCC-ESM1 (released in 2017)

BCC  (Beijing Climate Center)The model includes the components: atmos: BCC_AGCM3_LR (T42; 128 x 64 longitude/latitude; 26 levels; top level 2.19 hPa), atmosChem: BCC-AGCM3-Chem, land: BCC_AVIM2, ocean: MOM4 (1/3 deg 10S-10N, 1/3-1 deg 10-30 N/S, and 1 deg in high latitudes; 360 x 232 longitude/latitude; 40 levels; top grid cell 0-10 m), seaIce: SIS2. The model was run in native nominal resolutions: atmosphere: 250 km, atmospheric chemistry: 250 km, land: 250 km, ocean: 50 km, seaIce: 50 km.

CAMS-CSM1-0 (released in 2016)

CAMS (Chinese Academy of Meteorological Sciences)The model includes the components: atmos: ECHAM5_CAMS (T106; 320 x 160 longitude/latitude; 31 levels; top level 10 mb), land: CoLM 1.0, ocean: MOM4 (tripolar; 360 x 200 longitude/latitude, primarily 1deg latitude/longitude, down to 1/3deg within 30deg of the equatorial tropics; 50 levels; top grid cell 0-10 m), seaIce: SIS 1.0. The model was run in native nominal resolutions: atmosphere: 100 km, land: 100 km, ocean: 100 km, seaIce: 100 km.

CanESM5 (released in 2019)

CCCMA (Canadian Centre for Climate Modelling and Analysis)The model includes the components: aerosol: interactive, atmos: CanAM5 (T63L49 native atmosphere, T63 Linear Gaussian Grid; 128 x 64 longitude/latitude; 49 levels; top-level 1 hPa), atmosChem: specified oxidants for aerosols, land: CLASS3.6/CTEM1.2, landIce: specified ice sheets, ocean: NEMO3.4.1 (ORCA1 tripolar grid, 1 deg with refinement to 1/3 deg within 20 degrees of the equator; 361 x 290 longitude/latitude; 45 vertical levels; top grid cell 0-6.19 m), ocnBgchem: Canadian Model of Ocean Carbon (CMOC); NPZD ecosystem with OMIP prescribed carbonate chemistry, seaIce: LIM2. The model was run in native nominal resolutions: aerosol: 500 km, atmosphere: 500 km, atmospheric chemistry: 500 km, land: 500 km, landIce: 500 km, ocean: 100 km, ocean biogeochemistry:
The model used in climate research named CESM2-WACCM was released in 2018.
The model was run by the National Center for Atmospheric Research, Climate and Global Dynamics Laboratory, 1850 Table Mesa Drive, Boulder, CO 80305, USA (NCAR) in native nominal resolutions: aerosol: 100 km, atmos: 100 km, atmosChem: 100 km, land: 100 km, landIce: 5 km, ocean: 100 km, ocnBgchem:
100 km, seaIce: 100 km.

CESM2-WACCM-FV2

NCAR (National Center for Atmospheric Research)

CanESM5-CanOE (released in 2019)

CCCMA (Canadian Centre for Climate Modelling and Analysis)CanESM5-CanOE is identical to CanESM5, except that CMOC (Canadian Model of Ocean Carbon) was replaced with CanOE (Canadian Ocean Ecosystem model). The model was run
The model used in climate research named CESM2-WACCM-FV2 was released in 2019.
The model was run by the National Center for Atmospheric Research, Climate and Global Dynamics Laboratory, 1850 Table Mesa Drive, Boulder, CO 80305, USA (NCAR)
in native nominal resolutions: aerosol:
250
500 km, atmos:
250
500 km, atmosChem:
250
500 km, land:
250
500 km, landIce:
5
500 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km.

CIESM

THU (Tsinghua University - Department of Earth System Science)The model used in climate research named Community Integrated Earth System Model was released in 2017.
The model was run by the Department of Earth System Science, Tsinghua University, Beijing 100084, China (THU)

CAS-ESM2-0 (released in 2019)

CAS (Chinese Academy of Sciences)The model includes the components: aerosol: IAP AACM, atmos: IAP AGCM 5.0 (Finite difference dynamical core; 256 x 128 longitude/latitude; 35 levels; top level 2.2 hPa), atmosChem: IAP AACM, land: CoLM, ocean: LICOM2.0 (LICOM2.0, primarily 1deg; 362 x 196 longitude/latitude; 30 levels; top grid cell 0-10 m), ocnBgchem: IAP OBGCM, seaIce: CICE4. The model was run in native nominal resolutions: aerosol: 100 km,
atmos
atmosphere: 100 km,
atmosChem
atmospheric chemistry: 100 km, land: 100 km, ocean
: 50 km, seaIce: 50 km.

CMCC-CM2-SR5

CMCC (Centro Euro-Mediterraneo per I Cambiamenti Climatici)The model used in climate research named CMCC-CM2-SR5 was released in 2016.
The model was run by the Fondazione Centro Euro-Mediterraneo sui Cambiamenti Climatici, Lecce 73100, Italy (CMCC) in native nominal resolutions: aerosol: 100 km, atmos
: 100 km,
land: 100 km,
ocean biogeochemistry: 100 km, seaIce: 100 km.

CNRM-CM6-1

CESM2

NCAR
CNRM-CERFACS
(National Center for
Meteorological Research, Météo-France and CNRS laboratory, Climate Modeling and Global change)ARPEGE-Climat Version 6.3 is the atmospheric component of the CNRM climate and Earth System models (CNRM-CM6-1 and CNRM-ESM2-1). It is based on the cycle 37 of the ARPEGE/IFS model (declared in 2010), developed under a collaboration between Météo-France and ECMWF. ARPEGE-Climat shares a large part of its physics and dynamics with its NWP counterpart ARPEGE used operationally at Météo-France. In comparison to ARPEGE-Climat Version 5.1 used for the CMIP5 exercise in CNRM-CM5.1, most of the atmospheric physics has been updated or revisited (Roehrig et al. 2019, Voldoire et al. 2019). For the surface, it is coupled to the SURFEX platform (Decharme et al. 2019).
Atmospheric Research)The model includes the components: aerosol: MAM4 (same grid as atmos), atmos: CAM6 (0.9x1.25 finite volume grid; 288 x 192 longitude/latitude; 32 levels; top level 2.25 mb), atmosChem: MAM4 (same grid as atmos), land: CLM5 (same grid as atmos), landIce: CISM2.1, ocean: POP2 (320x384 longitude/latitude; 60 levels; top grid cell 0-10 m), ocnBgchem: MARBL (same grid as ocean), seaIce: CICE5.1 (same grid as ocean). The model was run in native nominal resolutions

CNRM-CM6-1-HR

CNRM-CERFACS (National Center for Meteorological Research, Météo-France and CNRS laboratory, Climate Modeling and Global change)The model used in climate research named CNRM-CM6-1-HR was released in 2017.
The model was run by the CNRM (Centre National de Recherches Meteorologiques, Toulouse 31057, France), CERFACS (Centre Europeen de Recherche et de Formation Avancee en Calcul Scientifique, Toulouse 31057, France) (CNRM-CERFACS) in native nominal resolutions
: aerosol: 100 km, atmos: 100 km, atmosChem: 100 km, land: 100 km, landIce: 5 km, ocean: 100 km, ocnBgchem:
25
100 km, seaIce:
25
100 km.

CNRM-ESM2-1

CESM2-FV2 (released in 2019)

NCAR
CNRM-CERFACS 
(National Center for
Meteorological Research, Météo-France and CNRS laboratory, Climate Modeling and Global change)TACTIC (Tropospheric Aerosols for ClimaTe In CNRM) is an interactive tropospheric aerosol scheme, able to represent the main anthropogenic and natural aerosol types in the troposphere. Originally developed in the GEMS/MACC project (Morcrette et al., 2009), this scheme has been adapted to the ARPEGE/ALADIN-Climat models (Michou et al., 2015 and Nabat et al., 2015). Aerosols are included through sectional bins, separating desert dust (3 size bins), sea-salt (3 size bins), sulphate (1 bin, as well as 1 additional variable for sulfate precursors considered as SO2), organic matter (2 bins: hydrophobic and hydrophilic particles) and black carbon (2 bins: hydrophobic and hydrophilic particles) particles. All these 12 species are prognostic variables in the model, submitted to transport (semi-lagrangian advection, and convective transport), dry deposition, in-cloud and below-cloud scavenging. The interaction with shortwave and longwave radiation, is also taken into account through optical properties (extinction coefficient, single scattering albedo and asymmetry parameter) calculated using the Mie theory. Sulfate, organic matter and sea salt concentrations are used to determine the cloud droplet number concentration following Menon et al. (2002), thus representing the cloud-albedo effect (1st indirect aerosol effect).
Atmospheric Research)

The model includes the components: aerosol: MAM4 (same grid as atmos), atmos: CAM6 (1.9x2.5 finite volume grid; 144 x 96 longitude/latitude; 32 levels; top level 2.25 mb), atmosChem: MAM4 (same grid as atmos), land: CLM5 (same grid as atmos), landIce: CISM2.1, ocean: POP2 (320x384 longitude/latitude; 60 levels; top grid cell 0-10 m), ocnBgchem: MARBL (same grid as ocean), seaIce: CICE5.1 (same grid as ocean). The model was run in native nominal resolutions: aerosol: 250 km, atmosphere: 250 km, atmospheric chemistry: 250 km, land: 250 km, landIce: 5 km, ocean: 100 km, ocean biogeochemistry: 100 km, seaIce: 100 km.

CESM2-WACCM (released in 2018)

NCAR (National Center for Atmospheric Research)The model includes the components: aerosol: MAM4 (same grid as atmos), atmos: WACCM6 (0.9x1.25 finite volume grid; 288 x 192 longitude/latitude; 70 levels; top level 4.5e-06 mb), atmosChem: MAM4 (same grid as atmos), land: CLM5 (same grid as atmos), landIce: CISM2.1, ocean: POP2 (320 x 384 longitude/latitude; 60 levels; top grid cell 0-10 m), ocnBgchem: MARBL (same grid as ocean), seaIce: CICE5.1 (same grid as ocean). The model was run in native nominal resolutions: aerosol: 100 km, atmosphere: 100 km, atmospheric chemistry: 100 km, land: 100 km, landIce: 5 km, ocean: 100 km, ocean biogeochemistry: 100 km, seaIce: 100 km.

CESM2-WACCM-FV2 (released in 2019)

NCAR (National Center for Atmospheric Research)The model includes the components: aerosol: MAM4 (same grid as atmos), atmos: WACCM6 (1.9x2.5 finite volume grid; 144 x 96 longitude/latitude; 70 levels; top level 4.5e-06 mb), atmosChem: MAM4 (same grid as atmos), land: CLM5 (same grid as atmos), landIce: CISM2.1, ocean: POP2 (320x384 longitude/latitude; 60 levels; top grid cell 0-10 m), ocnBgchem: MARBL (same grid as ocean), seaIce: CICE5.1 (same grid as ocean). The model was run in native nominal resolutions: aerosol: 250 km, atmosphere: 250 km, atmospheric chemistry: 250 km, land: 250 km, landIce: 5 km, ocean: 100 km, ocean biogeochemistry: 100 km, seaIce: 100 km.

CIESM (released in 2017)

THU (Tsinghua University - Department of Earth System Science)The model includes the components: aerosol: MAM4, atmos: CIESM-AM (FV/FD; 288 x 192 longitude/latitude; 30 levels; top level 2.255 hPa), atmosChem: trop_mam4, land: CIESM-LM (modified CLM4.5), ocean: CIESM-OM (FD, SCCGrid Displaced Pole; 720 x 560 longitude/latitude; 46 levels; top grid cell 0-6 m), seaIce: CICE4. The model was run in native nominal resolutions: aerosol: 100 km, atmosphere: 100 km, atmospheric chemistry: 100 km, land: 100 km, ocean: 50 km, seaIce: 50 km.

CMCC-CM2-SR5 (released in 2016)

CMCC (Centro Euro-Mediterraneo per I Cambiamenti Climatici)The model includes the components: aerosol: MAM3, atmos: CAM5.3 (1deg; 288 x 192 longitude/latitude; 30 levels; top at ~2 hPa), land: CLM4.5 (BGC mode), ocean: NEMO3.6 (ORCA1 tripolar primarly 1 deg lat/lon with meridional refinement down to 1/3 degree in the tropics; 362 x 292 longitude/latitude; 50 vertical levels; top grid cell 0-1 m), seaIce: CICE4.0.  The model was run in native nominal resolutions: aerosol: 100 km, atmosphere: 100 km, land: 100 km, ocean: 100 km, seaIce: 100 km.

CNRM-CM6-1  (released in 2017)

CNRM-CERFACS (National Center for Meteorological Research, Météo-France and CNRS laboratory, Climate Modeling and Global change)The model includes the components: aerosol: prescribed monthly fields computed by TACTIC_v2 scheme, atmos: Arpege 6.3 (T127; Gaussian Reduced with 24572 grid points in total distributed over 128 latitude circles (with 256 grid points per latitude circle between 30degN and 30degS reducing to 20 grid points per latitude circle at 88.9degN and 88.9degS); 91 levels; top-level 78.4 km), atmosChem: OZL_v2, land: Surfex 8.0c, ocean: Nemo 3.6 (eORCA1, tripolar primarily 1deg; 362 x 294 longitude/latitude; 75 levels; top grid cell 0-1 m), seaIce: Gelato 6.1. The model was run in native nominal resolutions: aerosol: 250 km, atmos: 250 km, atmosChem: 250 km, land: 250 km, ocean: 100 km, seaIce: 100 km.

CNRM-CM6-1-HR (released in 2017)

CNRM-CERFACS (National Center for Meteorological Research, Météo-France and CNRS laboratory, Climate Modeling and Global change)The model includes the components: aerosol: prescribed monthly fields computed by TACTIC_v2 scheme, atmos: Arpege 6.3 (T359; Gaussian Reduced with 181724 grid points in total distributed over 360 latitude circles (with 720 grid points per latitude circle between 32.2degN and 32.2degS reducing to 18 grid points per latitude circle at 89.6degN and 89.6degS); 91 levels; top-level 78.4 km), atmosChem: OZL_v2, land: Surfex 8.0c, ocean: Nemo 3.6 (eORCA025, tripolar primarily 1/4deg; 1442 x 1050 longitude/latitude; 75 levels; top grid cell 0-1 m), seaIce: Gelato 6.1. The model was run in native nominal resolutions: aerosol: 100 km, atmosphere: 100 km, atmospheric chemistry: 100 km, land: 100 km, ocean: 25 km, seaIce: 25 km.

CNRM-ESM2-1 (released in 2017)

CNRM-CERFACS (National Center for Meteorological Research, Météo-France and CNRS laboratory, Climate Modeling and Global change)The model includes the components: aerosol: TACTIC_v2, atmos: Arpege 6.3 (T127; Gaussian Reduced with 24572 grid points in total distributed over 128 latitude circles (with 256 grid points per latitude circle between 30degN and 30degS reducing to 20 grid points per latitude circle at 88.9degN and 88.9degS); 91 levels; top-level 78.4 km), atmosChem: REPROBUS-C_v2, land: Surfex 8.0c, ocean: Nemo 3.6 (eORCA1, tripolar primarily 1deg; 362 x 294 longitude/latitude; 75 levels; top grid cell 0-1 m), ocnBgchem: Pisces 2.s, seaIce: Gelato 6.1. The model was run in native nominal resolutions: aerosol: 250 km, atmos: 250 km, atmosChem: 250 km, land: 250 km, ocean: 100 km, ocnBgchem

E3SM-1-0

E3SM-Project LLNL (Energy Exascale Earth System Model, Lawrence Livermore National Laboratory)The model used in climate research named E3SM 1.0 (Energy Exascale Earth System Model) was released in 2018.
The model was run by the LLNL; BNL (Brookhaven National Laboratory, Upton, NY 11973, USA); LANL (Los Alamos National Laboratory, Los Alamos, NM 87545, USA); LBNL (Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA); ORNL (Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA); PNNL (Pacific Northwest National Laboratory, Richland, WA 99352, USA); SNL (Sandia National Laboratories, Albuquerque, NM 87185, USA). Mailing address: LLNL Climate Program, c/o David C. Bader, Principal Investigator, L-103, 7000 East Avenue, Livermore, CA 94550, USA (E3SM-Project) in native nominal resolutions: aerosol: 100 km, atmos: 100 km, atmosChem: 100 km, land: 100 km, ocean: 50 km, seaIce: 50 km.

E3SM-1-1

E3SM-Project RUBISCO (Energy Exascale Earth System Model, Reducing Uncertainty in Biogeochemical Interactions through Synthesis and COmputation)The model used in climate research named E3SM 1.1 (Energy Exascale Earth System Model) was released in 2019.
The model was run by the LLNL; ANL (Argonne National Laboratory, Argonne, IL 60439, USA); BNL (Brookhaven National Laboratory, Upton, NY 11973, USA); LANL (Los Alamos National Laboratory, Los Alamos, NM 87545, USA); LBNL (Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA); ORNL (Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA); PNNL (Pacific Northwest National Laboratory, Richland, WA 99352, USA); SNL (Sandia National Laboratories, Albuquerque, NM 87185, USA). Mailing address: LLNL Climate Program, c/o David C. Bader, Principal Investigator, L-103, 7000 East Avenue, Livermore, CA 94550, USA (E3SM-Project) in native nominal resolutions: aerosol: 100 km, atmos: 100 km, atmosChem: 100 km, land: 100 km, ocean: 50 km, ocnBgchem: 50 km, seaIce: 50 km.

E3SM-1-1-ECA

E3SM-Project  (Energy Exascale Earth System Model)The model used in climate research named E3SM 1.1 (Energy Exascale Earth System Model) with an experimental land BGC ECA configuration was released in 2019.
The model was run by the LLNL (Lawrence Livermore National Laboratory, Livermore, CA 94550, USA); ANL (Argonne National Laboratory, Argonne, IL 60439, USA); BNL (Brookhaven National Laboratory, Upton, NY 11973, USA); LANL (Los Alamos National Laboratory, Los Alamos, NM 87545, USA); LBNL (Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA); ORNL (Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA); PNNL (Pacific Northwest National Laboratory, Richland, WA 99352, USA); SNL (Sandia National Laboratories, Albuquerque, NM 87185, USA). Mailing address: LLNL Climate Program, c/o David C. Bader, Principal Investigator, L-103, 7000 East Avenue, Livermore, CA 94550, USA (E3SM-Project) in native nominal resolutions: aerosol: 100 km, atmos: 100 km, atmosChem: 100 km, land: 100 km, ocean: 50 km, ocnBgchem: 50 km, seaIce: 50 km.

EC-Earth3

EC-Earth-ConsortiumThe atmosphere-ocean general circulation model is described by Doescher-et-al-2020. The atmosphere is a modified version of IFS cycle 36r4, and includes the land-surface scheme H-TESSEL. The ocean and sea-ice model is NEMO-LIM3 version 3.6 with a few modifications. The OASIS3-MCT coupler version 3.0 is used to exchange fields between the atmosphere and ocean components.

EC-Earth3-LR

EC-Earth-ConsortiumThe atmosphere-ocean general circulation model is described by Doescher-et-al-2020. The atmosphere is a modified version of IFS cycle 36r4, and includes the land-surface scheme H-TESSEL. The ocean and sea-ice model is NEMO-LIM3 version 3.6 with a few modifications. The OASIS3-MCT coupler version 3.0 is used to exchange fields between the atmosphere and ocean components.

EC-Earth3-Veg

EC-Earth-ConsortiumThe atmosphere-ocean general circulation model is described by Doescher-et-al-2020. The atmosphere is a modified version of IFS cycle 36r4, and includes the land-surface scheme H-TESSEL. The ocean and sea-ice model is NEMO-LIM3 version 3.6 with a few modifications. The OASIS3-MCT coupler version 3.0 is used to exchange fields between the atmosphere and ocean components.

EC-Earth3-Veg-LR

EC-Earth-ConsortiumThe atmosphere-ocean general circulation model is described by Doescher-et-al-2020. The atmosphere is a modified version of IFS cycle 36r4, and includes the land-surface scheme H-TESSEL. The ocean and sea-ice model is NEMO-LIM3 version 3.6 with a few modifications. The OASIS3-MCT coupler version 3.0 is used to exchange fields between the atmosphere and ocean components.

FGOALS-f3-L

CAS (Chinese Academy of Sciences)The model used in climate research named FGOALS-f3-L was released in 2017.
The model was run by the Chinese Academy of Sciences, Beijing 100029, China (CAS) in native nominal resolutions: atmos: 100 km, land: 100 km, ocean
: 100 km, seaIce: 100 km.

FGOALS-g3

CAS (Chinese Academy of Sciences)The model used in climate research named FGOALS-g3 was released in 2017.
The model was run by the Chinese Academy of Sciences, Beijing 100029, China (CAS) in native nominal resolutions: atmos: 250 km, land: 250 km, ocean: 100 km, seaIce: 100 km.

FIO-ESM-2-0

FIO-QLNM (First Institute of Oceanography (FIO) and Qingdao National Laboratory for Marine Science and Technology (QNLM))The model used in climate research named FIO-ESM 2.0 was released in 2018.
The model was run by the FIO (First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, China), QNLM (Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China) (FIO-QLNM) in native nominal resolutions: aerosol: 100 km, atmos

E3SM-1-0 (released in 2018)

E3SM-Project LLNL (Energy Exascale Earth System Model, Lawrence Livermore National Laboratory)The model includes the components: aerosol: MAM4 with resuspension, marine organics, and secondary organics (same grid as atmos), atmos: EAM (v1.0, cubed sphere spectral-element grid; 5400 elements with p=3; 1 deg average grid spacing; 90 x 90 x 6 longitude/latitude/cubeface; 72 levels; top level 0.1 hPa), atmosChem: Troposphere specified oxidants for aerosols. Stratosphere linearized interactive ozone (LINOZ v2) (same grid as atmos), land: ELM (v1.0, cubed sphere spectral-element grid; 5400 elements with p=3; 1 deg average grid spacing; 90 x 90 x 6 longitude/latitude/cubeface; satellite phenology mode), MOSART (v1.0, 0.5 degree latitude/longitude grid), ocean: MPAS-Ocean (v6.0, oEC60to30 unstructured SVTs mesh with 235160 cells and 714274 edges, variable resolution 60 km to 30 km; 60 levels; top grid cell 0-10 m), seaIce: MPAS-Seaice (v6.0, same grid as ocean). The model was run in native nominal resolutions: aerosol: 100 km, atmosphere: 100 km, atmospheric chemistry: 100 km, land: 100 km, ocean:
100
50 km, seaIce:
100
50 km.

GFDL-AM4

NOAA-GFDL (National Oceanic and Atmospheric Administration, Geophysical Fluid Dynamics Laboratory)This is the Atmosphere and Land component (AM4.0.1) of GFDL coupled model CM4.0 for use in CMIP6. The Atmospheric component is identifical to the AM4.0 model documented in Zhao et. al (2018). The vegetation, land and glacier models differ from AM4.0 in the following aspects: 1) dynamical vegetation was used instead the static vegetation used in AM4.0. 2) glacier albedo is retuned. 3) other minor tuning in the land model.

GFDL-CM4

NOAA-GFDL (National Oceanic and Atmospheric Administration, Geophysical Fluid Dynamics Laboratory)This is the GFDL physical coupled model CM4.0 for use in CMIP6. The model is documented in Held et al (2019)

GFDL-ESM4

NOAA-GFDL (National Oceanic and Atmospheric Administration, Geophysical Fluid Dynamics Laboratory)

E3SM-1-1 (released in 2019)

E3SM-Project RUBISCO (Energy Exascale Earth System Model, Reducing Uncertainty in Biogeochemical Interactions through Synthesis and COmputation)The model includes the components: aerosol: MAM4 with resuspension, marine organics, and secondary organics (same grid as atmos), atmos: EAM (v1.1, cubed sphere spectral-element grid; 5400 elements with p=3; 1 deg average grid spacing; 90 x 90 x 6 longitude/latitude/cubeface; 72 levels; top-level 0.1 hPa), atmosChem: Troposphere specified oxidants for aerosols. Stratosphere linearized interactive ozone (LINOZ v2) (same grid as atmos), land: ELM (v1.1, same grid as atmos; active biogeochemistry using the Converging Trophic Cascade plant and soil carbon and nutrient mechanisms to represent carbon, nitrogen and phosphorus cycles), MOSART (v1.1, 0.5 degree latitude/longitude grid), ocean: MPAS-Ocean (v6.0, oEC60to30 unstructured SVTs mesh with 235160 cells and 714274 edges, variable resolution 60 km to 30 km; 60 levels; top grid cell 0-10 m), ocnBgchem: BEC (Biogeochemical Elemental Cycling model, NPZD-type with C/N/P/Fe/Si/O; same grid as ocean), seaIce: MPAS-Seaice (v6.0; same grid as ocean). The model was run in native nominal resolutions: aerosol: 100 km, atmosphere: 100 km, atmospheric chemistry: 100 km, land
The model used in climate research named GFDL-ESM4 was released in 2018.
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
ocean biogeochemistry: 50 km, seaIce: 50 km.
GISS

E3SM-

E2

1-1-

GNASA-GISS  (National Oceanic and Atmospheric Administration, Goddard Institute for Space Studies)The model used in climate research named GISS-E2.1G was released in 2019.
The model was run by the Goddard Institute for Space Studies, New York, NY 10025, USA (NASA-GISS) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, atmosChem: 250 km, land: 250 km, ocean: 100 km, seaIce: 250 km.

ECA (released in 2019)

E3SM-Project  (Energy Exascale Earth System Model)The model includes the components: aerosol: MAM4 with resuspension, marine organics, and secondary organics (same grid as atmos), atmos: EAM (v1.1, cubed sphere spectral-element grid; 5400 elements with p=3; 1 deg average grid spacing; 90 x 90 x 6 longitude/latitude/cubeface; 72 levels; top-level 0.1 hPa), atmosChem: Troposphere specified oxidants for aerosols. Stratosphere linearized interactive ozone (LINOZ v2) (same grid as atmos), land: ELM (v1.1, same as atmos; active biogeochemistry using the Equilibrium Chemistry Approximation to represent plant and soil carbon and nutrient mechanisms especially carbon, nitrogen and phosphorus limitation), MOSART (v1.1, 0.5 degree latitude/longitude grid), ocean: MPAS-Ocean (v6.0, oEC60to30 unstructured SVTs mesh with 235160 cells and 714274 edges, variable resolution 60 km to 30 km; 60 levels; top grid cell 0-10 m), ocnBgchem: BEC (Biogeochemical Elemental Cycling model, NPZD-type with C/N/P/Fe/Si/O; same grid as ocean), seaIce: MPAS-Seaice (v6.0; same grid as ocean). The model was run in native nominal resolutions: aerosol: 100 km, atmosphere: 100 km, atmospheric chemistry: 100 km, land: 100 km, ocean: 50 km, ocean biogeochemistry: 50 km, seaIce: 50 km.

EC-Earth3 (released in 2019)

EC-Earth-ConsortiumThe model includes the components: atmos: IFS cy36r4 (TL255, linearly reduced Gaussian grid equivalent to 512 x 256 longitude/latitude; 91 levels; top-level 0.01 hPa), land: HTESSEL (land surface scheme built-in IFS), ocean: NEMO3.6 (ORCA1 tripolar primarily 1 deg 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 in native nominal resolutions: atmos: 100

GISS-E2-1-H

NASA-GISS  (National Oceanic and Atmospheric Administration, Goddard Institute for Space Studies)The model used in climate research named GISS-E2.1H was released in 2019.
The model was run by the Goddard Institute for Space Studies, New York, NY 10025, USA (NASA-GISS) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, atmosChem: 250 km, land: 250 km, ocean: 100 km, seaIce: 250 km.

GISS-E2-2-G

NASA-GISS  (National Oceanic and Atmospheric Administration, Goddard Institute for Space Studies)The model used in climate research named GISS-E2-2-G was released in 2019.
The model was run by the Goddard Institute for Space Studies, New York, NY 10025, USA (NASA-GISS) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, atmosChem: 250 km, land: 250 km, landIce: 250 km, ocean: 100 km, seaIce: 100 km.

HadGEM3-GC31-LL

MOHC NERC (Met Office Hadley Centre, Natural Environmental Research Council)The model used in climate research named HadGEM3-GC3.1 was released in 2016. The model was run by the Met Office Hadley Centre, Fitzroy Road, Exeter, Devon, EX1 3PB, UK (MOHC) in native nominal resolutions: aerosol: 100 km, atmos: 100
km, land: 100 km, ocean:
25
100 km, seaIce:
25
100 km.
HadGEM3

EC-

GC31

Earth3-

MMMOHC (Met Office Hadley Centre)The model used in climate research named HadGEM3-GC3.1-N216ORCA025 was released in 2016.
The model was run by the Met Office Hadley Centre, Fitzroy Road, Exeter, Devon, EX1 3PB, UK (MOHC) in native nominal resolutions: aerosol: 100 km, atmos: 100 km, land: 100 km, ocean: 25 km, seaIce: 25 km.

LR  (released in 2019)

EC-Earth-ConsortiumThe model includes the components: atmos: IFS cy36r4 (TL159, linearly reduced Gaussian grid equivalent to 320 x 160 longitude/latitude; 62 levels; top-level 5 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 in native nominal resolutions:

IITM-ESM

CCCR-IITM (Centre for Climate Change Research, Indian Institute of Tropical Meteorology)The model used in climate research named IITM-ESM was released in 2015.
The model was run by the Centre for Climate Change Research, Indian Institute of Tropical Meteorology Pune, Maharashtra 411 008, India (CCCR-IITM) in native nominal resolutions: aerosol: 250 km,
atmos: 250 km, land: 250 km, ocean: 100 km,
ocnBgchem: 100 km,
seaIce: 100 km.
INM

EC-

CM4

Earth3-

8INM (Institute of Numerical Mathematics)The model used in climate research named INM-CM4-8 was released in 2016.
The model was run by the Institute for Numerical Mathematics, Russian Academy of Science, Moscow 119991, Russia (INM) in native nominal resolutions: aerosol: 100 km, atmos: 100 km, land: 100 km, ocean: 100 km, seaIce: 100 km.

INM-CM5-0

INM (Institute of Numerical Mathematics)

Veg (released in 2019)

EC-Earth-ConsortiumThe model includes the components: atmos: IFS cy36r4 (TL255, linearly reduced Gaussian grid equivalent to 512 x 256 longitude/latitude; 91 levels; top-level 0.01 hPa), land: HTESSEL (land surface scheme built-in IFS) and LPJ-GUESS v4, 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 in native nominal resolutions:
The model used in climate research named INM-CM5-0 was released in 2016.
The model was run by the Institute for Numerical Mathematics, Russian Academy of Science, Moscow 119991, Russia (INM) in native nominal resolutions: aerosol: 100 km,
atmos: 100 km, land: 100 km, ocean:
50
100 km, seaIce:
50
100 km.
IPSL

EC-Earth3-

CM6A

Veg-

LRIPSL (Institut Pierre‐Simon Laplace)

LR (released in 2019)

EC-Earth-ConsortiumThe model includes the components: atmos: IFS cy36r4 (TL159, linearly reduced Gaussian grid equivalent to 320 x 160 longitude/latitude; 62 levels; top-level 5 hPa), land: HTESSEL (land surface scheme built-in IFS) and LPJ-GUESS v4, 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
The model used in climate research named IPSL-CM6A-LR was released in 2017.
The model was run by the Institut Pierre Simon Laplace, Paris 75252, France (IPSL)
in native nominal resolutions: atmos: 250 km, land: 250 km, ocean: 100 km,
ocnBgchem: 100 km,
seaIce: 100 km.
KACE

FGOALS-

1-0-GNIMS-KMA (National Institute of Meteorological Sciences/Korea Met. Administration)

f3-L (released in 2017)

CAS (Chinese Academy of Sciences)The model includes the components: atmos: FAMIL2.2 (Cubed-sphere, c96; 360 x 180 longitude/latitude; 32 levels; top level 2.16 hPa), land: CLM4.0, ocean: LICOM3.0 (LICOM3.0, tripolar primarily 1deg; 360 x 218 longitude/latitude; 30 levels; top grid cell 0-10 m), seaIce: CICE4.0. The model was run in native nominal resolutions: atmosphere: 100 km, land: 100
The model used in climate research named KACE1.0-GLOMAP was released in 2018.
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.

KIOST-ESM

KIOST (Korea Institute of Ocean Science and Technology)

FGOALS-g3 (released in 2017)

CAS (Chinese Academy of Sciences)The model includes the components: atmos: GAMIL3 (180 x 80 longitude/latitude; 26 levels; top level 2.19hPa), land: CAS-LSM, ocean: LICOM3.0 (LICOM3.0, tripolar primarily 1deg; 360 x 218 longitude/latitude; 30 levels; top grid cell 0-10 m), seaIce: CICE4.0. The model was run in native nominal resolutions: atmosphere: 250 km, land: 250 km, ocean
The model used in climate research named KIOST Earth System Model v2 was released in 2018.
The model was run by the Korea Institute of Ocean Science and Technology, Busan 49111, Republic of Korea (KIOST) in native nominal resolutions: atmos: 250 km, atmosChem: 250 km, land: 250 km, landIce: 250 km, ocean: 100 km, ocnBgchem
: 100 km, seaIce: 100 km.
MCM

FIO-

UA

ESM-

1-0UA (University of Arizona - Department of Geosciences)R30 spectral atmosphere coupled to MOM1 ocean using simple Manabe land model and simple Bryan sea ice model.

2-0 (released in 2018)

FIO-QLNM (First Institute of Oceanography (FIO) and Qingdao National Laboratory for Marine Science and Technology (QNLM))The model includes the components: aerosol: Prescribed monthly fields, atmos: CAM4 (0.9x1.25 finite volume grid; 192 x 288 longitude/latitude; 26 levels; top level ~2 hPa), land: CLM4.0 (same grid at atmos), ocean: POP2-W (POP2 coupled with MASNUM surface wave model, Displaced Pole; 320 x 384 longitude/latitude; 60 levels; top grid cell 0-10 m), seaIce: CICE4.0 (same grid as ocean). The model was run in native nominal resolutions: aerosol: 100 km, atmosphere: 100 km, land: 100 km, ocean: 100 km, seaIce: 100 km.

GFDL-AM4 (released in 2018)

NOAA-GFDL (National Oceanic and Atmospheric Administration, Geophysical Fluid Dynamics Laboratory)The model includes the components: aerosol: interactive, atmos: GFDL-AM4.0 (Cubed-sphere (c96) - 1 degree nominal horizontal resolution; 360 x 180 longitude/latitude; 33 levels; top level 1 hPa), atmosChem: fast chemistry, aerosol only, land: GFDL-LM4.0, landIce: GFDL-LM4.0. The model was run in native nominal resolutions: aerosol: 100 km, atmos: 100 km, atmosChem: 100 km, land: 100 km, landIce: 100 km.

GFDL-CM4 (released in 2018)

NOAA-GFDL (National Oceanic and Atmospheric Administration, Geophysical Fluid Dynamics Laboratory)The model includes the components: aerosol: interactive, atmos: GFDL-AM4.0.1 (Cubed-sphere (c96) - 1 degree nominal horizontal resolution; 360 x 180 longitude/latitude; 33 levels; top level 1 hPa), atmosChem: fast chemistry, aerosol only, land: GFDL-LM4.0.1 (1 degree nominal horizontal resolution; 360 x 180 longitude/latitude; 20 levels; bottom level 10m); land-Veg:unnamed (dynamic vegetation, dynamic land use); land-Hydro:unnamed (soil water and ice, multi-layer snow, rivers and lakes), landIce: GFDL-LM4.0.1, ocean: GFDL-OM4p25 (GFDL-MOM6, tripolar - nominal 0.25 deg; 1440 x 1080 longitude/latitude; 75 levels; top grid cell 0-2 m), ocnBgchem: GFDL-BLINGv2, seaIce: GFDL-SIM4p25 (GFDL-SIS2.0, tripolar - nominal 0.25 deg; 1440 x 1080 longitude/latitude; 5 layers; 5 thickness categories). The model was run in native nominal resolutions: aerosol: 100 km, atmos: 100 km, atmosChem: 100 km, land: 100 km, landIce: 100 km, ocean: 25 km, ocnBgchem: 25 km, seaIce: 25 km.

GFDL-ESM4 (released in 2018)

NOAA-GFDL (National Oceanic and Atmospheric Administration, Geophysical Fluid Dynamics Laboratory)The model includes the 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

MIROC6

MIROC (Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI))MIROC6 is a physical climate model mainly composed of three sub-models: atmosphere, land, and sea ice-ocean. The atmospheric model is based on the CCSR-NIES atmospheric general circulation model. The horizontal resolution is a T85 spectral truncation that is an approximately 1.4° grid interval for both latitude and longitude. The vertical grid coordinate is a hybrid σ-p coordinate. The model top is placed at 0.004 hPa, and there are 81 vertical levels. A coupler system calculates heat and freshwater fluxes between the sub-models in order to ensure that all fluxes are conserved within machine precision and then exchanges the fluxes among the sub-models. No flux adjustments are used in MIROC6.

MIROC-ES2L

MIROC (Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI))MIROC-AGCM is the atmospheric component of a climate model, the Model for Interdisciplinary Research on Climate version 6 (MIROC6). The MIROC-AGCM employs a spectral dynamical core, and standard physical parameterizations for cumulus convections, radiative transfer, cloud microphysics, turbulence, and gravity wave drag. It also has an aerosol module. The model is cooperatively developed by the Japanese modeling community including the Atmosphere and Ocean Research Institute, the University of Tokyo, the Japan Agency for Marine-Earth Science and Technology, and the National Institute for Environmental Studies.

MPI-ESM-1-2-HAM

HAMMOZ-Consortium (Swiss Federal Institute of Technology Zurich (ETH-Zurich), Max Planck Institute for Meteorology (MPI-M), Forschungszentrum Jülich, University of Oxford, Finnish Meteorological Institute (FMI), Leibniz Institute for Tropospheric Research (IfT) and Center for Climate Systems Modeling (C2SM) at ETH Zurich)MPI-ESM1.2-HAM is the latest version of the Max Planck Institute for Meteorology Earth System Model (MPI-ESM1.2) coupled with the Hamburg Aerosol Module (HAM2.3), developed by the HAMMOZ consortium. The HAMMOZ consortium is composed of ETH Zurich, Max Planck Institut for Meteorology, Forschungszentrum Jülich, University of Oxford, the Finnish Meteorological Institute and the Leibniz Institute for Tropospheric Research, and managed by the Center for Climate Systems Modeling (C2SM) at ETH Zurich.

MPI-ESM1-2-HR

MPI-M DWD DKRZ (Max Planck Institute for Meteorology (MPI-M), German Meteorological Service (DWD), German Climate Computing Center (DKRZ))The model used in climate research named MPI-ESM1.2-HR was released in 2017.
The model was run by the Max Planck Institute for Meteorology, Hamburg 20146, Germany (MPI-M)
in native nominal resolutions: aerosol: 100 km,
atmos
atmosphere: 100 km, atmospheric chemistry: 100 km, land: 100 km, landIce:
none
100 km, ocean: 50 km,
ocnBgchem
ocean biogeochemistry: 50 km, seaIce: 50 km.
MPI

GISS-

ESM1

E2-

2-LRMPI-M AWI (Max Planck Institute for Meteorology (MPI-M), AWI (Alfred Wegener Institute))The model used in climate research named MPI-ESM1.2-LR was released in 2017.
The model was run by the Max Planck Institute for Meteorology, Hamburg 20146, Germany (MPI-M) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, land: 250 km, landIce: none, ocean: 250 km, ocnBgchem: 250 km, seaIce: 250 km.

1-G (released in 2019)

NASA-GISS  (National Oceanic and Atmospheric Administration, Goddard Institute for Space Studies)The model includes the components: aerosol: Varies with physics-version (p==1 none, p==3 OMA, p==4 TOMAS, p==5 MATRIX), atmos: GISS-E2.1 (2.5x2 degree; 144 x 90 longitude/latitude; 40 levels; top level 0.1 hPa), atmosChem: Varies with physics-version (p==1 Non-interactive, p>1 GPUCCINI), land: GISS LSM, ocean: GISS Ocean (GO1, 1 degree; 360 x 180 longitude/latitude; 40 levels; top grid cell 0-10 m), seaIce: GISS SI. The model was run

MRI-ESM2-0

MRI (Meteorological Research Institute, Japan)The model used in climate research named MRI-ESM2.0 was released in 2017.
The model was run by the Meteorological Research Institute, Tsukuba, Ibaraki 305-0052, Japan (MRI)
in native nominal resolutions: aerosol: 250 km,
atmos
atmosphere:
100
250 km,
atmosChem
atmospheric chemistry: 250 km, land:
100
250 km, ocean: 100 km,
ocnBgchem: 100 km,
seaIce:
100
250 km.

NESM3

NUIST (Nanjing University of Information Science and Technology) The model used in climate research named NUIST ESM v3 was released in 2016.
The model was run by the Nanjing University of Information Science and Technology, Nanjing, 210044, China (NUIST) in native nominal resolutions: atmos: 250 km, land: 2.5 km, ocean: 100 km, seaIce: 100 km.

NorCPM1

NCC (Norwegian Climate Centre)The model used in climate research named Norwegian Climate Prediction Model version 1 was released in 2019.
The model was run by the NorESM Climate modeling Consortium consisting of CICERO (Center for International Climate and Environmental Research, Oslo 0349), MET-Norway (Norwegian Meteorological Institute, Oslo 0313), NERSC (Nansen Environmental and Remote Sensing Center, Bergen 5006), NILU (Norwegian Institute for Air Research, Kjeller 2027), UiB (University of Bergen, Bergen 5007), UiO (University of Oslo, Oslo 0313) and UNI (Uni Research, Bergen 5008), Norway. Mailing address: NCC, c/o MET-Norway, Henrik Mohns plass 1, Oslo 0313, Norway (NCC) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, atmosChem: 250 km, land: 250 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km.

NorESM1-F

NCC (Norwegian Climate Centre)The model used in climate research named NorESM1-F (a fast version of NorESM that is designed for paleo and multi-ensemble simulations) was released in 2018.
The model was run by the NorESM Climate modeling Consortium consisting of CICERO (Center for International Climate and Environmental Research, Oslo 0349), MET-Norway (Norwegian Meteorological Institute, Oslo 0313), NERSC (Nansen Environmental and Remote Sensing Center, Bergen 5006), NILU (Norwegian Institute for Air Research, Kjeller 2027), UiB (University of Bergen, Bergen 5007), UiO (University of Oslo, Oslo 0313) and UNI (Uni Research, Bergen 5008), Norway. Mailing address: NCC, c/o MET-Norway, Henrik Mohns plass 1, Oslo 0313, Norway (NCC) in native nominal resolutions: atmos

GISS-E2-1-H (released in 2019)

NASA-GISS  (National Oceanic and Atmospheric Administration, Goddard Institute for Space Studies)The model includes the components: aerosol: Varies with physics-version (p==1 none, p==3 OMA, p==4 TOMAS, p==5 MATRIX), atmos: GISS-E2.1 (2.5x2 degree; 144 x 90 longitude/latitude; 40 levels; top level 0.1 hPa), atmosChem: Varies with physics-version (p==1 Non-interactive, p>1 GPUCCINI), land: GISS LSM, ocean: HYCOM Ocean (~1 degree tripolar grid; 360 x 180 longitude/latitude; 32 levels; top grid cell 0-10 m), seaIce: GISS SI. The model was run in native nominal resolutions: aerosol: 250 km, atmosphere: 250 km, atmospheric chemistry: 250 km, land: 250 km, ocean: 100 km, seaIce: 250 km.

GISS-E2-2-G (released in 2019)

NASA-GISS  (National Oceanic and Atmospheric Administration, Goddard Institute for Space Studies)The model includes the components: aerosol: varies with physics-version (p==1 none, p==3 OMA, p==4 TOMAS, p==5 MATRIX), atmos: GISS-E2.2 (High-top, 2 x 2.5 degrees; 144 x 90 longitude/latitude; 102 levels; top level 0.002 hPa), atmosChem: varies with physics-version (p==1 Non-interactive, p>1 GPUCCINI), land: GISS LSM, landIce: Fixed, ocean: GISS Ocean (GO1, 1 degree; 360 x 180 longitude/latitude; 40 levels; top grid cell 0-10m), seaIce: GISS SI. The model was run in native nominal resolutions: aerosol: 250 km, atmosphere: 250 km, atmospheric chemistry: 250 km, land: 250 km, landIce: 250 km, ocean: 100 km,
ocnBgchem: 100 km,
seaIce: 100 km.

NorESM2-LM

NCC (Norwegian Climate Centre)The model used in climate research named NorESM2-LM (low atmosphere-medium ocean resolution, GHG concentration driven) was released in 2017.
The model was run by the NorESM Climate modeling Consortium consisting of CICERO (Center for International Climate and Environmental Research, Oslo 0349), MET-Norway (Norwegian Meteorological Institute, Oslo 0313), NERSC (Nansen Environmental and Remote Sensing Center, Bergen 5006), NILU (Norwegian Institute for Air Research, Kjeller 2027), UiB (University of Bergen, Bergen 5007), UiO (University of Oslo, Oslo 0313) and UNI (Uni Research, Bergen 5008), Norway. Mailing address: NCC, c/o MET-Norway, Henrik Mohns plass 1, Oslo 0313, Norway (NCC)

HadGEM3-GC31-LL (released in 2016)

MOHC NERC (Met Office Hadley Centre, Natural Environmental Research Council)The model includes the 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: NEMO-HadGEM3-GO6.0 (eORCA1 tripolar primarily 1 deg with meridional refinement down to 1/3 degree in the tropics; 360 x 330 longitude/latitude; 75 levels; top grid cell 0-1 m), seaIce: CICE-HadGEM3-GSI8 (eORCA1 tripolar primarily 1 deg; 360 x 330 longitude/latitude). The model was run in native nominal resolutions: aerosol:
250
100 km,
atmos: 250 km, atmosChem: 250
atmosphere: 100 km, land:
250 km, landIce: 250
100 km, ocean:
100
25 km,
ocnBgchem: 100 km,
seaIce:
100
25 km.

NorESM2-MM

HadGEM3-GC31-MM (released in 2016)

MOHC (Met Office Hadley
NCC (Norwegian Climate
Centre)The model
used in climate research named NorESM2-MM (medium atmosphere-medium ocean resolution, GHG concentration driven) was released in 2017.
The model was run by the NorESM Climate modeling Consortium consisting of CICERO (Center for International Climate and Environmental Research, Oslo 0349), MET-Norway (Norwegian Meteorological Institute, Oslo 0313), NERSC (Nansen Environmental and Remote Sensing Center, Bergen 5006), NILU (Norwegian Institute for Air Research, Kjeller 2027), UiB (University of Bergen, Bergen 5007), UiO (University of Oslo, Oslo 0313) and UNI (Uni Research, Bergen 5008), Norway. Mailing address: NCC, c/o MET-Norway, Henrik Mohns plass 1, Oslo 0313, Norway (NCC) in native nominal
includes the components: aerosol: UKCA-GLOMAP-mode, atmos: MetUM-HadGEM3-GA7.1 (N216; 432 x 324 longitude/latitude; 85 levels; top level 85 km), land: JULES-HadGEM3-GL7.1, ocean: NEMO-HadGEM3-GO6.0 (eORCA025 tripolar primarily 0.25 deg; 1440 x 1205 longitude/latitude; 75 levels; top grid cell 0-1 m), seaIce: CICE-HadGEM3-GSI8 (eORCA025 tripolar primarily 0.25 deg; 1440 x 1205 longitude/latitude). The model was run in native nominal resolutions: aerosol: 100 km,
atmos
atmosphere: 100 km,
atmosChem
land: 100 km,
land
ocean:
100
25 km,
landIce: 100 km, ocean: 100 km, ocnBgchem: 100 km,
seaIce:
100
25 km.

SAM0-UNICON

SNU (Seoul National University)

The atmospheric component of SEM0 is the Seoul National University Atmospheric Model Version 0 with a Unified Convection Scheme (SAM0-UNICON, Park et al. 2019, Park 2014a,b), which replaces CAM5's shallow and deep convection schemes and revises CAM5's cloud macrophysics scheme (Park et al. 2017). The other components of SEM0 (i.e., ocean, land, land-ice, sea-ice, and coupler) are identical to those of the Community Earth System Model version 1.2 (CESM1.2).

TaiESM1

AS-RCEC (Research Center for Environmental Changes)The model used in climate research named Taiwan Earth System Model 1.0 was released in 2018.
The model was run by the Research Center for Environmental Changes, Academia Sinica, Nankang, Taipei 11529, Taiwan (AS-RCEC) in native nominal resolutions: aerosol: 100 km, atmos: 100 km, atmosChem: 100 km, land: 100 km, ocean: 100 km, seaIce: 50 km.

UKESM1-0-LL

MOHC, NERC, NIMS-KMA, NIWA  (Met Office Hadley Centre, Natural Environmental Research Council,  National Institute of Meteorological Science / Korean Meteorological Administration (NIMS-KMA), National Institute of Weather and Atmospheric Research (NIWA)) The model used in climate research named UKESM1.0-N96ORCA1 was released in 2018.
The model was run by the Met Office Hadley Centre, Fitzroy Road, Exeter, Devon, EX1 3PB, UK (MOHC) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, atmosChem: 250 km, land: 250 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km.

Grids

IITM-ESM  (released in 2015)

CCCR-IITM (Centre for Climate Change Research, Indian Institute of Tropical Meteorology)The model includes the components: aerosol: prescribed MAC-v2, atmos: IITM-GFSv1 (T62L64, Linearly Reduced Gaussian Grid; 192 x 94 longitude/latitude; 64 levels; top level 0.2 mb), land: NOAH LSMv2.7.1, ocean: MOM4p1 (tripolar, primarily 1deg; 360 x 200 longitude/latitude; 50 levels; top grid cell 0-10 m), ocnBgchem: TOPAZv2.0, seaIce: SISv1.0. The model was run in native nominal resolutions: aerosol: 250 km, atmosphere: 250 km, land: 250 km, ocean: 100 km, ocean biogeochemistry: 100 km, seaIce: 100 km.

INM-CM4-8 (released in 2016)

INM (Institute of Numerical Mathematics)The model includes the components: aerosol: INM-AER1, atmos: INM-AM4-8 (2x1.5; 180 x 120 longitude/latitude; 21 levels; top level sigma = 0.01), land: INM-LND1, ocean: INM-OM5 (North Pole shifted to 60N, 90E; 360 x 318 longitude/latitude; 40 levels; sigma vertical coordinate), seaIce: INM-ICE1. The model was run in native nominal resolutions: aerosol: 100 km, atmosphere: 100 km, land: 100 km, ocean: 100 km, seaIce: 100 km.

INM-CM5-0 (released in 2016)

INM (Institute of Numerical Mathematics)The model includes the components: aerosol: INM-AER1, atmos: INM-AM5-0 (2x1.5; 180 x 120 longitude/latitude; 73 levels; top level sigma = 0.0002), land: INM-LND1, ocean: INM-OM5 (North Pole shifted to 60N, 90E. 0.5x0.25; 720 x 720 longitude/latitude; 40 levels; vertical sigma coordinate), seaIce: INM-ICE1. The model was run in native nominal resolutions: aerosol: 100 km, atmosphere: 100 km, land: 100 km, ocean: 50 km, seaIce: 50 km.

IPSL-CM6A-LR (released in 2017)

IPSL (Institut Pierre‐Simon Laplace)The model includes the components: atmos: LMDZ (NPv6, N96; 144 x 143 longitude/latitude; 79 levels; top level 80000 m), land: ORCHIDEE (v2.0, Water/Carbon/Energy mode), ocean: NEMO-OPA (eORCA1.3, tripolar primarily 1deg; 362 x 332 longitude/latitude; 75 levels; top grid cell 0-2 m), ocnBgchem: NEMO-PISCES, seaIce: NEMO-LIM3. The model was run in native nominal resolutions: atmosphere: 250 km, land: 250 km, ocean: 100 km, ocean biogeochemistry: 100 km, seaIce: 100 km.

KACE-1-0-G (released in 2018)

NIMS-KMA (National Institute of Meteorological Sciences/Korea Met. Administration)The model includes the 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 in native nominal resolutions: aerosol: 250 km, atmos: 250 km, land: 250 km, ocean: 100 km, seaIce: 100 km.

KIOST-ESM (released in 2018)

KIOST (Korea Institute of Ocean Science and Technology)The model includes the components: atmos: GFDL-AM2.0 (cubed sphere (C48); 192 x 96 longitude/latitude; 32 vertical levels; top level 2 hPa), atmosChem: Simple carbon aerosol model (emission type), land: NCAR-CLM4, landIce: NCAR-CLM4, ocean: GFDL-MOM5.0 (tripolar - nominal 1.0 deg; 360 x 200 longitude/latitude; 52 levels; top grid cell 0-2 m; NK mixed layer scheme), ocnBgchem: TOPAZ2, seaIce: GFDL-SIS. The model was run in native nominal resolutions: atmosphere: 250 km, atmospheric chemistry: 250 km, land: 250 km, landIce: 250 km, ocean: 100 km, ocean biogeochemistry: 100 km, seaIce: 100 km.

MCM-UA-1-0 (released in 1991)

UA (University of Arizona - Department of Geosciences)The model includes the components: aerosol: Modifies surface albedoes (Haywood et al. 1997, doi: 10.1175/1520-0442(1997)010<1562:GCMCOT>2.0.CO;2), atmos: R30L14 (3.75 X 2.5 degree (long-lat) configuration; 96 x 80 longitude/latitude; 14 levels; top level 0.015 sigma, 15 mb), land: Standard Manabe bucket hydrology scheme (Manabe 1969, doi: 10.1175/1520-0493(1969)097<0739:CATOC>2.3.CO;2), landIce: Specified location - invariant in time, has high albedo and latent heat capacity, ocean: MOM1.0 (MOM1, 1.875 X 2.5 deg; 192 x 80 longitude/latitude; 18 levels; top grid cell 0-40 m), seaIce: Thermodynamic ice model (free drift dynamics). The model was run in native nominal resolutions: aerosol: 250 km, atmos: 250 km, land: 250 km, landIce: 250 km, ocean: 250 km, seaIce: 250 km.

MIROC6 (released in 2017)

MIROC (Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI))The model includes the components: aerosol: SPRINTARS6.0, atmos: CCSR AGCM (T85; 256 x 128 longitude/latitude; 81 levels; top level 0.004 hPa), land: MATSIRO6.0, ocean: COCO4.9 (tripolar primarily 1deg; 360 x 256 longitude/latitude; 63 levels; top grid cell 0-2 m), seaIce: COCO4.9. The model was run in native nominal resolutions: aerosol: 250 km, atmos: 250 km, land: 250 km, ocean: 100 km, seaIce: 100 km.

MIROC-ES2L (released in 2018)

MIROC (Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI))The model includes the components: aerosol: SPRINTARS6.0, atmos: CCSR AGCM (T42; 128 x 64 longitude/latitude; 40 levels; top level 3 hPa), land: MATSIRO6.0+VISIT-e ver.1.0, ocean: COCO4.9 (tripolar primarily 1deg; 360 x 256 longitude/latitude; 63 levels; top grid cell 0-2 m), ocnBgchem: OECO ver.2.0; NPZD-type with C/N/P/Fe/O cycles, seaIce: COCO4.9. The model was run in native nominal resolutions: aerosol: 500 km, atmos: 500 km, land: 500 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km.

MPI-ESM-1-2-HAM (released in 2017)

HAMMOZ-Consortium (Swiss Federal Institute of Technology Zurich (ETH-Zurich), Max Planck Institute for Meteorology (MPI-M), Forschungszentrum Jülich, University of Oxford, Finnish Meteorological Institute (FMI), Leibniz Institute for Tropospheric Research (IfT) and Center for Climate Systems Modeling (C2SM) at ETH Zurich)The model includes the components: aerosol: HAM2.3, atmos: ECHAM6.3 (spectral T63; 192 x 96 longitude/latitude; 47 levels; top level 0.01 hPa), atmosChem: sulfur chemistry (unnamed), land: JSBACH 3.20, ocean: MPIOM1.63 (bipolar GR1.5, approximately 1.5deg; 256 x 220 longitude/latitude; 40 levels; top grid cell 0-12 m), ocnBgchem: HAMOCC6, seaIce: unnamed (thermodynamic (Semtner zero-layer) dynamic (Hibler 79) sea ice model). The model was run in native nominal resolutions: aerosol: 250 km, atmos: 250 km, atmosChem: 250 km, land: 250 km, ocean: 250 km, ocnBgchem: 250 km, seaIce: 250 km.

MPI-ESM1-2-HR (released in 2017)

MPI-M DWD DKRZ (Max Planck Institute for Meteorology (MPI-M), German Meteorological Service (DWD), German Climate Computing Center (DKRZ))The model includes the components: aerosol: none, prescribed MACv2-SP, atmos: ECHAM6.3 (spectral T127; 384 x 192 longitude/latitude; 95 levels; top level 0.01 hPa), land: JSBACH3.20, landIce: none/prescribed, ocean: MPIOM1.63 (tripolar TP04, approximately 0.4deg; 802 x 404 longitude/latitude; 40 levels; top grid cell 0-12 m), ocnBgchem: HAMOCC6, seaIce: unnamed (thermodynamic (Semtner zero-layer) dynamic (Hibler 79) sea ice model). The model was run in native nominal resolutions: aerosol: 100 km, atmosphere: 100 km, land: 100 km, landIce: none, ocean: 50 km, ocean biogeochemistry: 50 km, seaIce: 50 km.

MPI-ESM1-2-LR (released in 2017)

MPI-M AWI (Max Planck Institute for Meteorology (MPI-M), AWI (Alfred Wegener Institute))The model includes the components: aerosol: none, prescribed MACv2-SP, atmos: ECHAM6.3 (spectral T63; 192 x 96 longitude/latitude; 47 levels; top level 0.01 hPa), land: JSBACH3.20, landIce: none/prescribed, ocean: MPIOM1.63 (bipolar GR1.5, approximately 1.5deg; 256 x 220 longitude/latitude; 40 levels; top grid cell 0-12 m), ocnBgchem: HAMOCC6, seaIce: unnamed (thermodynamic (Semtner zero-layer) dynamic (Hibler 79) sea ice model). The model was run in native nominal resolutions: aerosol: 250 km, atmosphere: 250 km, land: 250 km, landIce: none, ocean: 250 km, ocean biogeochemistry: 250 km, seaIce: 250 km.

MRI-ESM2-0 (released in 2017)

MRI (Meteorological Research Institute, Japan)The model includes the components: aerosol: MASINGAR mk2r4 (TL95; 192 x 96 longitude/latitude; 80 levels; top level 0.01 hPa), atmos: MRI-AGCM3.5 (TL159; 320 x 160 longitude/latitude; 80 levels; top level 0.01 hPa), atmosChem: MRI-CCM2.1 (T42; 128 x 64 longitude/latitude; 80 levels; top level 0.01 hPa), land: HAL 1.0, ocean: MRI.COM4.4 (tripolar primarily 0.5 deg latitude/1 deg longitude with meridional refinement down to 0.3 deg within 10 degrees north and south of the equator; 360 x 364 longitude/latitude; 61 levels; top grid cell 0-2 m), ocnBgchem: MRI.COM4.4, seaIce: MRI.COM4.4. The model was run in native nominal resolutions: aerosol: 250 km, atmosphere: 100 km, atmospheric chemistry: 250 km, land: 100 km, ocean: 100 km, ocean biogeochemistry: 100 km, seaIce: 100 km.

NESM3 (released in 2016)

NUIST (Nanjing University of Information Science and Technology) The model includes the components: atmos: ECHAM v6.3 (T63; 192 x 96 longitude/latitude; 47 levels; top level 1 Pa), land: JSBACH v3.1, ocean: NEMO v3.4 (NEMO v3.4, tripolar primarily 1deg; 384 x 362 longitude/latitude; 46 levels; top grid cell 0-6 m), seaIce: CICE4.1. The model was run in native nominal resolutions: atmosphere: 250 km, land: 2.5 km, ocean: 100 km, seaIce: 100 km.

NorCPM1 (released in 2019)

NCC (Norwegian Climate Centre)The model includes the components: aerosol: OsloAero4.1 (same grid as atmos), atmos: CAM-OSLO4.1 (2 degree resolution; 144 x 96 longitude/latitude; 26 levels; top level ~2 hPa), atmosChem: OsloChemSimp4.1 (same grid as atmos), land: CLM4 (same grid as atmos), ocean: MICOM1.1 (1 degree resolution; 320 x 384 longitude/latitude; 53 levels; top grid cell 0-2.5 m [native model uses hybrid density and generic upper-layer coordinate interpolated to z-level for contributed data]), ocnBgchem: HAMOCC5.1 (same grid as ocean), seaIce: CICE4 (same grid as ocean). The model was run in native nominal resolutions: aerosol: 250 km, atmosphere: 250 km, atmospheric chemistry: 250 km, land: 250 km, ocean: 100 km, ocean biogeochemistry: 100 km, seaIce: 100 km.

NorESM1-F (released in 2018)

NCC (Norwegian Climate Centre)The model includes the components: atmos: CAM4 (2 degree resolution; 144 x 96; 32 levels; top level 3 mb), land: CLM4, landIce: CISM, ocean: MICOM (1 degree resolution; 360 x 384; 70 levels; top grid cell minimum 0-2.5 m [native model uses hybrid density and generic upper-layer coordinate interpolated to z-level for contributed data]), ocnBgchem: HAMOCC5.1, seaIce: CICE4. The model was run in native nominal resolutions: atmosphere: 250 km, land: 250 km, landIce: 250 km, ocean: 100 km, ocean biogeochemistry: 100 km, seaIce: 100 km.

NorESM2-LM (released in 2017)

NCC (Norwegian Climate Centre)The model includes the components: aerosol: OsloAero, atmos: CAM-OSLO (2 degree resolution; 144 x 96; 32 levels; top level 3 mb), atmosChem: OsloChemSimp, land: CLM, landIce: CISM, ocean: MICOM (1 degree resolution; 360 x 384; 70 levels; top grid cell minimum 0-2.5 m [native model uses hybrid density and generic upper-layer coordinate interpolated to z-level for contributed data]), ocnBgchem: HAMOCC, seaIce: CICE. The model was run in native nominal resolutions: aerosol: 250 km, atmospheric: 250 km, atmospheric chemistry: 250 km, land: 250 km, landIce: 250 km, ocean: 100 km, ocean biogeochemistry: 100 km, seaIce: 100 km.

NorESM2-MM (released in 2017)

NCC (Norwegian Climate Centre)The model includes the components: aerosol: OsloAero, atmos: CAM-OSLO (1 degree resolution; 288 x 192; 32 levels; top level 3 mb), atmosChem: OsloChemSimp, land: CLM, landIce: CISM, ocean: MICOM (1 degree resolution; 360 x 384; 70 levels; top grid cell minimum 0-2.5 m [native model uses hybrid density and generic upper-layer coordinate interpolated to z-level for contributed data]), ocnBgchem: HAMOCC, seaIce: CICE. The model was run in native nominal resolutions: aerosol: 100 km, atmosphere: 100 km, atmospheric chemistry: 100 km, land: 100 km, landIce: 100 km, ocean: 100 km, ocean biogeochemistry: 100 km, seaIce: 100 km.

SAM0-UNICON (released in 2017)

SNU (Seoul National University)

The model includes the components: aerosol: MAM3, atmos: CAM5.3 with UNICON (1deg; 288 x 192 longitude/latitude; 30 levels; top level ~2 hPa), land: CLM4.0, ocean: POP2 (Displaced Pole; 320 x 384 longitude/latitude; 60 levels; top grid cell 0-10 m), seaIce: CICE4.0. The model was run in native nominal resolutions: aerosol: 100 km, atmos: 100 km, land: 100 km, ocean: 100 km, seaIce: 100 km.

TaiESM1 (released in 2018)

AS-RCEC (Research Center for Environmental Changes)The model includes the components: aerosol: SNAP (same grid as atmos), atmos: TaiAM1 (0.9x1.25 degree; 288 x 192 longitude/latitude; 30 levels; top level ~2 hPa), atmosChem: SNAP (same grid as atmos), land: CLM4.0 (same grid as atmos), ocean: POP2 (320x384 longitude/latitude; 60 levels; top grid cell 0-10 m), seaIce: CICE4. The model was run in native nominal resolutions: aerosol: 100 km, atmosphere: 100 km, atmospheric chemistry: 100 km, land: 100 km, ocean: 100 km, seaIce: 50 km.

UKESM1-0-LL (released in 2018)

MOHC, NERC, NIMS-KMA, NIWA  (Met Office Hadley Centre, Natural Environmental Research Council,  National Institute of Meteorological Science / Korean Meteorological Administration (NIMS-KMA), National Institute of Weather and Atmospheric Research (NIWA)) The model includes the components: aerosol: UKCA-GLOMAP-mode, atmos: MetUM-HadGEM3-GA7.1 (N96; 192 x 144 longitude/latitude; 85 levels; top level 85 km), atmosChem: UKCA-StratTrop, land: JULES-ES-1.0, ocean: NEMO-HadGEM3-GO6.0 (eORCA1 tripolar primarily 1 deg with meridional refinement down to 1/3 degree in the tropics; 360 x 330 longitude/latitude; 75 levels; top grid cell 0-1 m), ocnBgchem: MEDUSA2, seaIce: CICE-HadGEM3-GSI8 (eORCA1 tripolar primarily 1 deg; 360 x 330 longitude/latitude). The model was run in native nominal resolutions: aerosol: 250 km, atmosphere: 250 km, atmospheric chemistry: 250 km, land: 250 km, ocean: 100 km, ocean biogeochemistry: 100 km, seaIce: 100 km.


Grids

CMIP6 data is reported either on the model’s native grid or re-gridded to one or more target grids with data variables generally provided near the centre of each grid cell (rather than at the boundaries).  For CMIP6 there is a requirement to record both the native grid of the model and the grid of its output (archived in the CMIP6 repository) as CMIP6 data is reported either on the model’s native grid or re-gridded to one or more target grids with data variables generally provided near the center of each grid cell (rather than at the boundaries).  For CMIP6 there is a requirement to record both the native grid of the model and the grid of its output (archived in the CMIP6 repository) a “nominal_resolution”.  The "nominal_resolution” enables users to identify which models are relatively high resolution and have data that might be challenging to download and store locally. Information about the grids can be found in the model table above, under 'Model Details' and within the NetCDF file metadata.

Pressure levels

For pressure level data the model output is available on the pressure levels according to the table below. Note that since the model output is standardised all models produce the data on the same pressure levels.

Frequency

Number of Levels

Pressure Levels (hPa)

Daily

8

1000., 850., 700., 500., 250., 100., 50., 10.

Monthly

19

1000., 925., 850., 700., 600., 500., 400., 300., 250., 200., 150., 100., 70., 50., 30., 20., 10., 5., 1.

Ensembles

Each modelling centre typically run the same experiment using the same model with slightly different settings several times to confirm the robustness of results and inform sensitivity studies through the generation of statistical information. A model and its collection of runs is referred to as an ensemble. Within these ensembles, four different categories of sensitivity studies are done, and the resulting individual model runs are labelled by four integers indexing the experiments in each category

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  • The first category, labelled realization_index (referred to with letter r), performs experiments which differ only in random perturbations of the initial conditions of the experiment. Comparing different realizations allow estimation of the internal variability of the model climate.
  • The second category, labelled initialization_index (referred to with letter i), refers to variation in initialisation parameters. Comparing differently initialised output initialised output provides an estimate of how sensitive the model is to initial conditions.
  • The third category, labelled physics_index (referred to with letter p), refers to variations in the way in which sub-grid scale processes are represented. Comparing different simulations in this category provides an estimate of how sensitive the structural uncertainty associated with choices in the model is to initial conditionsdesign.
  • The third fourth category , labelled physicsforcing_index (referred to with letter p), refers to variations in the way in which sub-grid scale processes are represented. Comparing different simulations in this category provides an estimate of the structural uncertainty associated with choices in the model design.
  • The fourth category labelled forcing_index (referred to with letter f) is used to distinguish runs of a single CMIP6 experiment, but with different forcings applied.

Parameter listings

  • f) is used to distinguish runs of a single CMIP6 experiment, but with different forcings applied.

Parameter listings

Time-Independent parameters are marked with a *

Expand
titleList of parameters


CDS parameter name for CMIP5

 ESGF variable id

Long name to be used in CMIP6

 Units

2m temperature

 tas

Near-Surface Air Temperature

Kelvin

Maximum 2m temperature in the last 24 hours

 tasmax

Daily Maximum Near-Surface Air Temperature

Kelvin

Minimum 2m temperature in the last 24 hours 

 tasmin

Daily Minimum Near-Surface Air Temperature

Kelvin

Maximum 10m wind speed in the last 24 hourssfcwindmaxDaily Maximum Near-Surface Wind Speedm s-1
Skin temperaturetsSurface TemperatureKelvin
Mean sea level pressurepslSea Level PressurePa
Surface pressurepsSurface Air PressurePa
10m u component of winduasEastward Near-Surface Windm s-1
10m v component of windvasNorthward Near-Surface Windm s-1
10m wind speedsfcWindNear-Surface Wind Speedm s-1
2m relative humidityhursNear-Surface Relative Humidity1
2m specific humidityhussNear-Surface Specific Humidity1
Mean precipitation fluxprPrecipitationkg m-2s-1
SnowfallprsnSnowfall Flux

kg m-2 s-1

EvaporationevspsblEvaporation Including Sublimation and Transpiration

kg m-2 s-1

Atmosphere water vapor contentprwAtmosphere Water Vapor Contentkg m-2
Eastward turbulent surface stresstauuSurface Downward Eastward Wind StressPa
Northward turbulent surface stresstauvSurface Downward Northward Wind StressPa
Surface latent heat fluxhflsSurface Upward Latent Heat FluxW m-2
Surface sensible heat fluxhfssSurface Upward Sensible Heat FluxW m-2 
Surface thermal radiation downwardsrldsSurface Downwelling Longwave RadiationW m-2

Surface upwelling longwave radiation

rlusSurface Upwelling Longwave RadiationW m-2

Surface solar radiation downwards

rsdsSurface Downwelling Shortwave RadiationW m-2

Surface upwelling shortwave radiation

rsusSurface Upwelling Shortwave RadiationW m-2

TOA incident solar radiation

rsdtTOA Incident Shortwave RadiationW m-2
TOA outgoing shortwave radiationrsutTOA Outgoing Shortwave RadiationW m-2
TOA outgoing longwave radiationrlutTOA Outgoing Longwave RadiationW m-2
TOA outgoing clear-sky shortwave radiationrsutcsTOA Outgoing Shortwave Flux Assuming Clear SkyW m-2
TOA outgoing clear-sky longwave radiationrlutcsTOA Outgoing Longwave Flux Assuming Clear SkyW m-2
Total cloud covercltTotal Cloud Cover Percentage1
Air temperaturetaAir TemperatureK
U-component of winduaEastward Windm s-1
V-component of windvaNorthward Windm s-1
Relative humidityhurRelative Humidity1
Specific humidity husSpecific Humidity1
Geopotential heightzgGeopotential Heightm
Surface snow amountsnwSurface Snow Amountkg m-2
Snow depthsndSnow Depthm
Surface runoffmrrosSurface Runoff Fluxkg m-2 s-1
RunoffmrroTotal Runoffkg m-2 s-1
Soil moisture contentmrsosMoisture in Upper Portion of Soil Columnkg m-2
Sea-ice area percentagesiconcSea-Ice Area Percentage (Ocean Grid)1
Sea ice thicknesssithickSea Ice Thicknessm
Sea ice plus snow amountsimassSea-Ice Mass per Areakg m-2
Sea ice surface temperaturesitemptopSurface Temperature of Sea IceK
Sea surface temperaturetosSea Surface TemperatureK
Sea surface salinitysosSea Surface SalinityPSU
Sea surface height above geoidzosSea Surface Height Above Geoidm
Grid-cell area for ocean variablesareacelloGrid-Cell Area for Ocean Variables*m2
Sea area percentagesftofSea Area Percentage*%
Grid-cell area for atmospheric grid variablesareacellaGrid-Cell Area for Atmospheric Grid Variables*m2
Capacity of soil to store water (field capacity)mrsofcCapacity of Soil to Store Water (Field Capacity)*kg m-2
Percentage of grid cell occupied by land (including lakes)sftlfPercentage of the Grid Cell Occupied by Land (Including Lakes)*%
Land ice area percentagesftgifLand Ice Area Percentage*1
OrographyorogSurface Altitude*
Expand
titleTable 1

CDS parameter name

 ESGF variable id

 Units

 *this needs to be provided by C3S CDS team

 tas

 Kelvin

 

 tasmax

 Kelvin

 

 tasmin

 Kelvin

tsKelvinpslPapsPauasm s-1vasm s-1sfcWindm s-1hurs1huss1prkg m-2 s-1prsnkg m-2 s-1evspsblkg m-2 s-1tauuPatauvPahflsW m-2hfssW m-2  rldsW m-2rlusW m-2rsdsW m-2rsusW m-2rsdtW m-2rsutW m-2rlutW m-2clt1taKuam s-1vam s-1hur1hus1zgmsnwkg m-2sndmmrrokg m-2 s-1mrsoskg m-2siconc1sithickmsimasskg m-2sitemptopKtosKsos1e-3zosmareacellom2sftof%areacellam2mrsofckg m-2sftlf%sftgif1orogm


Data Format

The CDS subset of CMIP6 data are provided as NetCDF files. NetCDF (Network Common Data Form) is a file format that is freely available and commonly used in the climate modelling community. See more details:  What are NetCDF files and how can I read them

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  • variable_id: variable is a short variable name, e.g. “tas” for “temperature at the surface”.
  • table_id: this refers to the MIP table being used. The MIP tables are used to organise the variables. For example, Amon refers to monthly atmospheric variables and Oday contains daily ocean data.
  • source_id: this refers to the model used that produced the data.
  • experiment_id: refers to the set of experiments being run for CMIP6. For example, PiControl, historical and 1pctCO2 (1 percent per year increase in CO2).
  • variant_label: is a label constructed from 4 indices (ensemble identifiers) r<k>i<l>p<m>f<n>r<W>i<X>p<Y>f<Z>, where kW, lK, m Y and n Z are integers.
  • grid_label: this describes the model grid used. For example, global mean data (gm), data reported on a model's native grid (gn) or regridded data reported on a grid other than the native grid and other than the preferred target grid (gr1).
  • time_range: the temporal range is in the form YYYYMM[DDHH]-YYYY[MMDDHH], where Y is year, M is the month, D is day and H is hour. Note that day and hour are optional (indicated by the square brackets) and are only used if needed by the frequency of the data. For example, daily data from the 1st of January 1980 to the 31st of December 2010 would be written 19800101-20101231.

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The CMIP6 data Citation Service provides information for data users on how to cite CMIP6 data and on the data license. The long-term availability and long-term accessibility are granted by the use of DOIs for the landing page e.g . http://doi.org/10.22033/ESGF/CMIP6.1317.

Available CMIP6 data citations are discoverable in the ESGF or in the Citation Search at: http://bit.ly/CMIP6_Citation_Search.

Known issues

CDS users will be directed to the CMIP6 ES-DOC Errata Service for known issues with the wider CMIP6 data pool. Data that is provided to the CDS should not contain any errors or be listed in the Errata service, however this will still be a useful resource for CDS users as data they may be looking for but cannot access may have been withheld from the CDS for justifiable reasons.

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CDS users will now be able to apply subsetting operations to CMIP6 datasets. This mechanism (the "roocs" WPS framework) that runs at each of the partner sites: CEDA, DKRZ and IPSL. The WPS can receive requests for processing based on dataset identifiers, a temporal range, a bounding box and a range of vertical levels. Each request is converted to a job that is run asynchronously on the processing servers at the partner sites. NetCDF files are generated and the response contains download links to each of the files. Users of the CDS will be able to make subsetting selections using the web forms provided by the CDS catalogue web-interface. More advanced users will be able to define their own API requests in the CDS Toolbox that will call the WPS. Output files will be automatically retrieved so that users can access them directly within the CDS.

How to use the subsetting tool

 Walkthrough and screenshots need to be provided by CDS team

References

Durack, P J. (2020) CMIP6_CVs. v6.2.53.5. Available at: https://github.com/WCRP-CMIP/CMIP6_CVs (Accessed: 26 October 2020).

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