Earlier this month we started a new project under the Copernicus Climate Change Service (C3S) for downscaling CMIP6 Climate Projections using Artificial Intelligence techniques in order to complement the CORDEX Regional Climate Models Simulations.
The contract –coordinated by one of our regular partners, the Institute of Physics of Cantabria (IFCA)– consists of the development of deep learning-based emulators that will reproduce the CORDEX Regional Climate Models behaviour. They will downscale global climate projections in fourteen regional domains worldwide with a fraction of its computational cost and allow for the exploration of new future scenarios.
“It will complement existing regional projections, offering a more comprehensive and coherent representation of climate change at a regional level – which is essential in order to advance research on climate impacts and support the development of adaptation strategies”, says IFCA via a press release published at the start of the project.
These new projections datasets will be made available via the Copernicus Climate Data Store, which we’ve contributed to modernise thanks to our participation in projects such as this one.
This new project will be developed by a consortium formed by eight specialised European institutions. Aside from Predictia and IFCA, the rest of the partakers are International Centre for Theoretical Physics (Italy), Met Office (UK), University of Bergen (Norway), University of Bristol (UK), Institut Pierre-Simon Laplace and Klima Consulting (both from France).
In case you’re interested in counting on us as partners for projects like this one, don’t hesitate to reach out to us via email on predictia@predictia.es or via any other means available on our website.