AI system can predict seasonal droughts
Researchers at the Institute of Water and Environmental Engineering (IIAMA) at the Universitat Politècnica de València have developed an advanced system for seasonal forecasting of meteorological droughts that enables these events to be predicted up to six months in advance, providing a key tool for...
Image: Phys.org
Researchers at the Institute of Water and Environmental Engineering (IIAMA) at the Universitat Politècnica de València have developed an advanced system for seasonal forecasting of meteorological droughts that enables these events to be predicted up to six months in advance, providing a key tool for water management and early warning in semi-arid regions, such as the Júcar river basin.
Originally published at Phys.org
