ORIGINAL
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). The decadal data in the Climate Data Store (CDS) are a targeted, quality-controlled subset of the full DCPP.
CMIP6-DCPP data underpins the Intergovernmental Panel on Climate Change 6th Assessment Reportaddresses 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.
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 sectoral decadal demonstrator service conducted by C3S.
UPDATED
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). The decadal data in the Climate Data Store (CDS) are a quality-controlled subset of the full DCPP.
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 (hindcasts);
- exploring the potential for operational forecast production (forecasts)
- 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 main two 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 climate scenario.
For DCPP experiments, each model is used to produce ensemble of simulations that are initialised annually. The ensemble members provide uncertainty information and they are concatenated into one data file for each model.
This catalogue entry provides daily and monthly near surface air temperature, precipitation, sea level pressure, daily minimum/maximum near surface air temperature and 500 hPa geopotential height data. The data is accompanied 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.The data are produced by the participating institutes of the CMIP6 project.
The data have been produced by the institutes participating in the sectoral decadal demonstrator service developed by the Copernicus Climate Change Service (C3S) in 2021. This demonstrator provided decadal prediction products tailored to specific users from the agriculture, energy, infrastructure and insurance sectors. The data were used in these demonstrators following processing procedures necessary to extract valid information (e.g., bias adjustment); details on this processing are available in the technical appendix at https://climate.copernicus.eu/sectoral-applications-decadal-predictions Any application - similar to or different from these examples - needs to consider and apply the required data processing with care.
ALTERNATIVE LAST PARAGRAPH OF THE OVERVIEW WITHOUT LINK:
The data have been produced by the institutes participating in the sectoral decadal demonstrator service developed by the Copernicus Climate Change Service (C3S) in 2021. This demonstrator provided decadal prediction products tailored to specific users from the agriculture, energy, infrastructure and insurance sectors. The data were used in these demonstrators following processing procedures necessary to extract valid information (e.g., bias adjustment). Any application - similar to or different from these examples - needs to consider and apply the required data processing with care.
CHANGES IN THE OVERVIEW TABLES
- Include "Update frequency" in the data description table, we can mention there: "no updates planned".
- "Vertical coverage" to "vertical resolution" (to be checked)
- "Vertical coverage": near surface and 500 hPa depending on the variable
- Tooltip updates:
- Model: "Consult the Documentation section to learn more about these models"
- Base year: "The start year of the forecast"
CHANGES IN TITLE AND LINK
Proposed modified link: projections-CMIP6-decadal-protoype
Proposed modified title: CMIP6 predictions underpinning the C3S decadal prediction prototypes