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SEED-FD is a Horizon Europe research project (2024-2026) that enhances flood and drought forecasting through advanced hydrological modelling. It aims to improve the accuracy of the Copernicus Emergency Management Service (CEMS) by integrating satellite and in-situ data, refining the forecasting model, and developing tools to predict additional extreme events. These advancements support better disaster preparedness and strengthen climate resilience worldwide.

SEED-FD Progress Insights

CREATING NEW DATASETS Enhanced datasets for precipitation, river discharge, and soil moisture are improving hydrological modelling. Discover how SEED-FD integrates satellite data and innovative methods to enhance early warning systems, strengthening disaster preparedness in vulnerable regions.

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PREDICTING DROUGHTS Advancing drought forecasting by analyzing CEMS data, SEED-FD scientists test predictive indicators and refine them in global case studies. Learn how flash and seasonal drought forecasts and a tracking algorithm are developed to improve early warnings.

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AI FOR IMPROVED EVENT DETECTION SEED-FD develops AI-driven post-processing methods to enhance hydrological forecasts. Learn about the project's approach to correcting systematic and dynamic errors using LSTM networks for improved flood and drought prediction accuracy.

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Recent Events

WORKSHOP AND GENERAL ASSEMBLY

Creative problem-solving, strategic planning, and valuable discussions—SEED-FD’s latest gathering in Austria (Feb 4–7) brought together the Consortium, Advisory Board, and invited experts. A design sprint-inspired workshop fostered reflection and creative solution-finding, while the General Assembly featured in-depth discussions on dataset utilization, prototyping and validation challenges, and refining use cases.

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Want to know more? Visit SEED-FD Website!

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