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CMIP6-DCPP data addresses the ability of the climate system to be predicted on annual, multi-annual and decadal timescales. The information generated by the DCPP can provide a basis for socially relevant operational climate predictions on annual to decadal timescales. The use of these data is mostly aimed at:
- assessing historical decadal prediction skill;
- exploring the potential for operational forecast production.
The term "experiments" in the context of DCPP refers to two categories of simulations:
- hindcast experiments which cover the recent past from 1960 and are constrained by climate observations.
- forecast experiments that are initialised with observations from 2019 onwards and are constrained by conditions of the ssp245 illustrative climate scenario.
For DCPP experiments, each model is used to produce overlapping simulations that are initialised annually throughout the experiment.
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Temporal coverage: 1960 - 2031 (or shorter)
Temporal resolution: Monthly, daily
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