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Comment: Changed the description of the start time of the DCPP experiments in the Experiment table. Described info in the Experiment table as being "based on information harvested from ES-DOC" rather than simply "harvested from ES-DOC".

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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 based on information harvested from 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 hindcasts 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 hindcasts 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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