Predicting extreme weather events is a tricky business. Changing climate conditions have increased the frequency of severe storms, floods, and heatwaves, along with larger wildfires. As a result, scientists are using artificial intelligence（AI）techniques for more accurate forecasts that help to minimize damage and save lives.
Researchers at Pennsylvania State University have worked together with meteorologists （气象学家）to analyze more than 50,000 weather satellite images to quickly identify storms. They found comma-shaped cloud formations that often lead to severe weather such as hail, blizzards, high winds, and thunderstorms.
Computers were then taught using computer vision and machine learning to automatically detect these clouds from satellite images, with almost 100 percent accuracy, in less than a minute. By refocusing meteorologists' attention on potential storm cloud formation the AI tool helped predict 64 percent of severe weather events and beat established detection systems.
Expensive supercomputers are often used to process vast amounts of data needed for accurate weather prediction. But powerful Al methods can run on smaller computers. Climate risk and planning company ClimateAI uses a technique to downscale global weather forecasts to a local scale, cutting down on costs and computing power.
It uses a machine learning technique that pits two neural networks against each other. The neural networks - designed to work like neurons connected in the brain-fight and train each other using global weather data until they get a result.
Using this method ClimateAI researchers generate highly accurate and inexpensive local forecasts for hours or days ahead. And because it is not as costly, it allows poorer countries affected by climate change to use forecasts to change the way they farm, build bridges, roads, or homes, and adapt to extreme weather.
Average costs associated with extreme weather events in the United States have increased steadily since 1980. These have costly impacts on cities' basic services, infrastructure, housing, human livelihoods, and health. AI helps us to calculate that risk and can be used as a preventive measure.
