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A novel AI framework will combine satellite observations and numerical weather prediction estimates in order to determine optimal cloud seeding timings and locations. The National Center of Meteorology (NCM) has started its latest innovative project this week.
Such efforts will help us develop innovative solutions and contribute new knowledge for the benefit of those in need of freshwater resources in water-scarce and arid regions,” according to Abdulla Al Mandous, NCM’s director.
A deep learning algorithm will help learn from thousands of historical data examples and the required cloud features needed in order to predict new cloud formations that could be seeded. Combined with satellite and radar data, this can generate precipitation predictions up to six hours in the future.