SOURCE-LINKED INTELLIGENCE

EarthGenerator a foundation model for Earth system modelling

CORDIS · observation · Publication date unknown

hGenerator will deliver a foundation model of the Earth system, extending the WeatherGenerator model by integrating atmosphere, ocean, and land in a single, physically consistent model. By adopting a generative AI approach, EarthGenerator will provide a general-purpose capability adaptable to multiple downstream tasks from seasonal forecasting to multi-annual climate projections with minimal additional training. The project is organised into four themes: (1) data curation and optimisation, producing AI-ready datasets; (2) model development and training, advancing architectures with a module to enforce physical constraints and and enriched latent spaces, and scalable HPC training; (3) use-case applications, including improved prediction of climate extremes, quantification of the land carbon cycle, multi-scale early warning systems for food insecurity, and analysis of climate-induced migration and displacement; and (4) engagement and dissemination, ensuring open science and community adoption. By combining AI innovation with climate science and HPC expertise, EarthGenerator will accele

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recordType

award

status

SIGNED

region

EU

value

5998250.52

unit

EUR