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The CLIMFOR project develops an advanced forecasting engine that uses artificial intelligence to provide accurate seasonal weather predictions. This technology aims to improve disaster risk management and enhance the integration of renewable energy sources into the power grid.
6,873 natural disasters happened worldwide in the period 1994-2013 (e.g. floods, drought, and other extreme weather phenomena) killing 68,000 people and affecting 218 million more annually.
The early implementation of Disaster Risk Reduction strategies strongly depends on the availability of reliable seasonal forecasts.
But global, long-term climate forecasting models are used for seasonal prediction and they are very inaccurate as they have not been designed to this end.
On the other hand, the…
GEOPREDICT GMBH
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