SOURCE-LINKED INTELLIGENCE

EFficient exploratiOn of Climate dAta Locally

CORDIS · observation · Publication date unknown

s. FOCAL will develop a platform (FOCAL Platform) that combines intelligent workflow management with high-performance computing (HPC) infrastructures, featuring data and metadata management linked to artificial intelligence (AI) development routines. This environment will enable the fast and efficient training and validation of innovative AI and statistical methods, enhancing the understanding of climate change impacts at a local scale. The project focuses on two pilots: urban planning and forestry, intending to develop a platform that enables efficient climate impact assessments on the local level while leveraging AI and HPC for analysing earth observation (EO) and earth system modelling data. Furthermore, FOCAL will generate new insights into key processes of the Earth system by integrating advanced EO data with existing and new data assimilation or modelling approaches. By harnessing a diverse range of EO datasets, FOCAL will improve climate predictions and provide a more comprehensive understanding of the interactions within the Earth system. This integration will allow for the

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recordType

award

status

SIGNED

region

EU

value

7820523.75

unit

EUR