This catalogue entry provides daily and monthly global climate model data from Decadal Climate Predictions Project (DCPP) experiments, part of the sixth phase of the Coupled Model Intercomparison Project (CMIP6).
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;
- forming a basis for potential operational forecast production.
The term "experiments" in the context of DCPP refers to two categories of DCPP 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 scenario.
For DCPP experiments, each model performs multiple overlapping simulations that are initialised annually throughout the experiment.
This catalogue entry provides two-dimensional data, along with an option to apply spatial and/or temporal subsetting to data requests. This feature of the global climate projection dataset relies on compute processes run simultaneously in the ESGF nodes, where the data are originally located.
The data are produced by the participating institutes of the CMIP6 project.