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 underpins the Intergovernmental Panel on Climate Change 6th Assessment Report. The 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
- addressing outstanding scientific questions that arose as part of the IPCC reporting process;
- improving the understanding of the climate system;
- providing estimates of future climate change and related uncertainties;
- providing input data for the adaptation to the climate change;
- examining climate predictability and exploring the ability of models to predict climate on decadal time scales;
- evaluating how realistic the different models are in simulating the recent past.
The term "experiments" in the context of DCPP refers to the three two main categories of CMIP6 simulations:
- Historical hindcast experiments which cover the period where modern recent past from 1960 and are constrained by climate observations exist. These experiments show how the GCMs performs for the past climate and can be used as a reference period for comparison with scenario runs for the future. The period covered is typically 1850-2005.Climate projection experiments following the combined pathways of Shared Socioeconomic Pathway (SSP) and Representative Concentration Pathway (RCP). The SSP scenarios provide different pathways of the future climate forcing. The period covered is typically 2006-2100, some extended RCP experimental data is available from 2100-2300.
- 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 both two- and three-dimensional data, along with an option to apply spatial and/or temporal subsetting to data requests. This is a new feature of the global climate projection dataset , which relies on compute processes run simultaneously in the ESGF nodes, where the data are originally located.
...