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Model

Centre

Description

EC-Earth3

EC Earth Consortium

The model used in climate research named EC Earth 3.3, released in 2019, 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 km, land: 100 km, ocean: 100 km, seaIce: 100 km.

https://doi.org/10.22033/ESGF/CMIP6.227

CMCC-CM2-SR5

The Euro-Mediterranean Center on Climate Change (Centro Euro-Mediterraneo per I Cambiamenti Climatici, CMCC)

The model used in climate research named CMCC-CM2-SR5, released in 2016, 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, atmos: 100 km, land: 100 km, ocean: 100 km, seaIce: 100 km.

https://doi.org/10.22033/ESGF/CMIP6.1363

MPI-ESM1-2-HR

The German Weather Service (Deutscher Wetterdienst, DWD) / Max Planck Institute for Meteorology (MPI-M)

The model used in climate research named MPI-ESM1.2-HR, released in 2017, 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: thermodynamic (Semtner zero-layer) dynamic (Hibler 79) sea ice model.

The model was run in native nominal resolutions: aerosol: 100 km, atmos: 100 km, land: 100 km, landIce: none, ocean: 50 km, ocnBgchem: 50 km, seaIce: 50 km.

https://doi.org/10.22033/ESGF/CMIP6.768

XXTO BE COMPLETED ONCE AVAILABLE

The German Weather Service (Deutscher Wetterdienst, DWD) / Max Planck Institute for Meteorology (MPI-M)

XX FOR THE TIME BEING THIS DATA IS NOT YET AVAILABLE, SO WE WILL REMOVE THIS ROW IF THIS WILL BE THE CASE. HOWEVER, I AM WONDERING IF THERE IS ALREADY ANY DESCRIPTION OF THE MODEL EXISTS TO ANTICIPATE THE CONTENT HERE. TO BE COMPLETED ONCE AVAILABLE 

HadGEM3-GC31-MM

Met Office Hadley Centre (MOHC)

The model used in climate research named HadGEM3-GC3.1-N216ORCA025, released in 2016, 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: 100 km, land: 100 km, ocean: 25 km, seaIce: 25 km.

https://doi.org/10.22033/ESGF/CMIP6.456

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The start-date ensemble is reflected in the DCPP data naming convention with the addition of a s<yyyy> start-date ensemble identifier ahead of the conventional CMIP6 ripf ensemble identifiers. For example, a simulation with a start year of 2014 will have the start-date ensemble identifier s2014, and a full ensemble identifier that follows the pattern s2014-r<W>i<X>p<Y>f<Z> where W, X, Y and Z are positive integers. (I am not fully sure if I understand this correctly. It seems you refer to the climate projection documentation's Ensemble sub-section, is that correct (I think we can directly refer to the subsection too)? Otherwise I understand that the ensembles are identified with one additional identifier with respect to the climate projections and that is the s<yyyy>.)Yes, the ensembles are identified with an additional identifier (s<yyyy>) with respect to the the climate projection ensemble ids. 

Parameter listings

Data for the dcppA-hindcast experiments and the dcppB-forecast experiments will include parameters at monthly and daily resolution as described in the tables below. The parameter descriptions presented here are harvested from the CMIP6 Data Request via the CLIPC variable browser.

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