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The Decadal Climate Prediction Project (Boer et al., 2016) addresses the ability of the climate system to be predicted on annual, multi-annual and decadal timescales. The information generated by the DCPP and archived on the Earth System Grid Federation (ESGF) nodes and made accessible in the CDS can provide a basis for socially relevant operational climate predictions on annual to decadal timescales.
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The CMIP6 data archive is distributed through the Earth System Grid Federation ( ESGF ) though many national centres have either a full or partial copy of the data. A quality-controlled subset of CMIP6 global climate projection data are made available through the Climate Data Store (CDS) for the users of the Copernicus Climate Change Service (C3S). Likewise, the decadal climate prediction project (DCPP) data in the Climate Data Store (CDS) are a quality-controlled subset of the wider DCPP data.
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DCPP Experiments
The CDS provides data access for two DCPP experiments: dcppA-hindcast which consists of retrospective decadal forecasts that can be used to assess historical decadal prediction skill, and dcppB-forecast which are experimental quasi-real-time decadal forecasts that form a basis for potential operational forecast production. For these DCPP experiments, each model performs multiple overlapping simulations that are initialised annually throughout the experiment. The dcppA-hindcast and dcppB-forecast experiments are further described in the table below. The DCPP experiment descriptions presented here are harvested from Earth System Documentation (ES-DOC).
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Experiment Name | Experiment Long Name | Extended Description |
|---|---|---|
dcppA-hindcast | hindcasts initialized from observations with historical forcing | dcppA-hindcast is a set of retrospective decadal forecasts (known as hindcasts) that are initialised every year mostly from 1960-2019 and performed with a coupled atmosphere-ocean general circulation model (AOGCM). The exact start dates begin in the November of the year preceding the hindcast period to allow for DJF (December, January, February) seasonal averages to be calculated. There are 10 hindcasts for each start date and hindcasts run for 10 years. The models running these hindcasts are initialised using observed data. Prior to the year 2020, the models are forced with historical conditions that are consistent with observations, these conditions include atmospheric composition, land use, volcanic aerosols and solar forcing. When hindcasts extend beyond 2020, the models are forced with future conditions from the ssp245 scenario from 2020 until the end of the simulation. DCPP hindcast experiments can be used to assess and understand the historical decadal prediction skill of climate models. |
dcppB-forecast | forecast initialized from observations | dcppB-forecast is a set of quasi-real-time decadal forecasts that are initialised every year from 2019 in real time and ongoing. The forecasts are performed with the same coupled atmosphere-ocean general circulation model (AOGCM), which was used to generate the hindcast data. The exact start dates begin in the November of the year preceding the forecast period to allow for DJF (December, January, February) seasonal averages to be calculated. There are 10 forecasts for each start date and forecasts run for 10 years. The models running these forecasts are initialised using observed data, thereafter they are forced with future conditions from the ssp245 scenario that include atmospheric composition, land use, and solar forcing. DCPP forecast experiments form a basis for potential operational decadal forecast production. |
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Data for the dcppA-hindcast and dcppB-forecast experiments archived in the CDS are generated from simulations run by the models described in the table below. The model descriptions presented here are harvested from the dataset DOIs held at the World Data Centre for Climate (WDCC), further details can be found on the ES-DOC.(Are you sure that this is the right link to ES-DOC, since that links takes us to the HadGEM3 documentation.)
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:
The model was run in native nominal resolutions: atmos: 100 km, land: 100 km, ocean: 100 km, seaIce: 100 km. |
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:
The model was run in native nominal resolutions: aerosol: 100 km, atmos: 100 km, land: 100 km, ocean: 100 km, seaIce: 100 km. |
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:
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. |
XX | The German Weather Service (Deutscher Wetterdienst, DWD) / Max Planck Institute for Meteorology (MPI-M) | XXFOR 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. |
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:
The model was run in native nominal resolutions: aerosol: 100 km, atmos: 100 km, land: 100 km, ocean: 25 km, seaIce: 25 km. |
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