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This United Arab Emirates can be used quickly artificial intelligence (AI) to strengthen its Cloud seeding plan.
scientists in us An algorithm is being worked on that combines historical weather data with today’s satellite reports, radar information and ground observations to predict where rain will fall and where to best plant seeds.
Teams on the ground in the UAE can then use the software to direct seeding planes to those sites.
The work was led by Dr. Luca Delle Monache, associate director of the UC San Diego Center for Western Extreme Weather and Water Extremes, who received $1.5 million grant This year was carried out by the UAE’s Rain Enhancement Scientific Research Initiative project.
with the global Drought is on the risea project at the forefront of machine learning to help improve the planet’s water security.
“We think we’re going to use these algorithms to improve the whole cloud seeding process,” Dr. Delle Monache, an expert in numerical weather forecasting, data simulation and machine learning, told National.
“We need to know what has happened in the past to make a good estimate.
“We use two-thirds of the data for training and one-third of the data to see how well we’re estimating precipitation. That’s how we build our machine learning models.
“Once it’s built, it can be used with today’s data. That’s the goal.”
more self-sufficient
Due to the dry climate, the UAE’s cloud seeding programme aims to ensure water security, provide more rainfall for crops and help the UAE become more self-sufficient.
Seeding is essentially an attempt to squeeze more rain out of the cloud and involves launching flares containing things like salt into the underlying cloud.
Dr Delle Monache said seeding did work, but it was difficult to quantify the “impact of the seeding procedure”.
Experts at the National Weather Center have previously said that planting may be intensified rainfall About 30% in a clean atmosphere and about 15% in a dusty atmosphere.but it is complicated And more research is needed.
“Precipitation is produced by a series of interacting atmospheric processes,” he said. Even chaotic, so it’s hard to predict the evolution. But there are several examples where it can work if the material is injected into the right areas of the cloud.
“This work may lead to more successful attempts.”
heavy rainfall The UAE has also experienced flash flooding in the past few weeks, but Dr Delle Monache said storm clouds were not suitable for seeding.
“[This would be a] Very intense storms and a lot of precipitation,” he said. “These storms are easy to predict, and those are not the ones the algorithm thinks are suitable for seeding because there is already intense precipitation. “
The project team, which also includes experts from the University of Colorado and Khalifa University in the UAE, will also use simulation to ensure there is a reliable prototype to deliver to NCM.
This is an exciting time for Dr. Della Monache, who says this cutting-edge research project can benefit the world.
“It’s at the forefront of cloud seeding research,” he said.
“Anything we develop here for the UAE can be used anywhere in the world.”
Updated: August 10, 2022 3:53 AM
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