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The CDS provides data 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's duration. 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 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 models running these hindcasts are initialised using observed data. Prior to the year 2020, the models running these simulations are forced with historical conditions that are consistent with observations, these conditions include atmospheric composition, land use, volcanic aerosols and solar forcing. For simulations that When hindcasts extend beyond 2020 (e.g. 2015-2025) , the models are forced with future conditions from the ssp245 scenario for the period from 2020 to until the end of the simulation.There are 10 ensemble members for each start date and simulations run for 10 yearssimulation. DCPP hindcasts 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 simulations 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.There are 10 ensemble members for each start date and simulations run for 10 years. DCPP forecasts forecast experiments form a basis for potential operational decadal forecast production. |
Models
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The DCPP experiments in the CDS, are a suite of overlapping simulations that are initialised every year throughout the duration of the start-date range specified by the experiment. 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 ensemble members simulations for each start-date.
The start-date ensemble is reflected in the DCPP data with an additional 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<d>i<d>p<d>f<d> where d r<W>i<X>p<Y>f<Z> where W, X, Y and Z are positive integers.
Parameter listings
Data for the dcppA-hindcast experiment 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.
Monthly Parameters
| CDS parameter name for CMIP5 | ESGF variable id | units | Standard name | Long name | Description |
|---|---|---|---|---|---|
| 2m temperature | tas | K | air_temperature | Near-Surface Air Temperature | Near-surface (2 meter) air temperature |
| Mea precipitation flux | pr | kg m-2 s-1 | precipitation_flux | Precipitation | Includes both liquid and solid phases |
| Mean sea level pressure | psl | Pa | air_pressure_at_sea_level | Sea Level Pressure | Sea level pressure |
Daily Parameters
| CDS parameter name for CMIP5 | Variable name | units | Standard name | Long name | Description |
|---|---|---|---|---|---|
| Minimum 2m temperature in the last 24 hours | tasmin | K | air_temperature | Daily Minimum Near-Surface Air Temperature | Daily-minimum near-surface (2 meter) air temperature |
| Maximum 2m temperature in the last 24 hours | tasmax | K | air_temperature | Daily Maximum Near-Surface Air Temperature | Daily-maximum near-surface (2 meter) air temperature |
| Mea precipitation flux | pr | kg m-2 s-1 | precipitation_flux | Precipitation | Includes both liquid and solid phases |
| Geopotential height at 500 hPa | zg500 | m | geopotential_height | Geopotential Height at 500hPa | Geopotential height of the 500 hPa surface |
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