The National Center of Meteorology (NCM) of UAE announces its plans to deploy artificial intelligence (AI) solutions to improve weather forecasts.
NCM has begun working on its newest project to increase rainfall, employing artificial intelligence (AI) to enhance rainfall forecasts. The project’s primary goal is to construct an AI research and operations testbed in the UAE.
The program will be led by Dr. Luca Delle Monache, deputy director of the Center for Western Weather and Water Extremes (CW3E).
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To find the best cloud seeding timings and locations, an AI framework will be built that will leverage satellite observations, ground-based weather radar data, rain gauges, and numerical weather forecast estimations.
The director of NCM and president of the Regional Association II (Asia) of the World Meteorological Organization (WMO), Dr. Abdulla Al Mandous, said, “Through strengthening partnerships with top international research institutions and key stakeholders in rain enhancement research, the Center is scaling up its response to the growing water stress challenges worldwide.”
He further added that such initiatives would aid them in developing creative solutions and contributing new information for the benefit of individuals in water-scarce and dry places that require freshwater resources.
The team will assist operational rainfall enhancement programs using AI algorithms to generate significantly improved weather forecasts by leveraging ground-based and spaceborne data sets and operational numerical weather prediction products used in cloud seeding operations.
“An advanced deep learning algorithm will be designed to learn from thousands of examples drawn from historical data and effectively extract and extrapolate inputs and the required cloud features needed to predict new cloud formations that could be seeded,” mentioned lead researcher Dr. Luca Delle Monache.
