Published on Nov. 15, 2023, 7:50 PM
Snow squalls are rather difficult to pinpoint, both in terms of timing and movement, but, with the advancement of artificial intelligence, will forecasting these highly localized events become much easier?
Weather forecasting has its daunting challenges, with snow squalls perhaps one of the most problematic due its unpredictability.
While the science of weather prediction has made a lot of advancements over the past several decades, with the help of new technology, there are still many obstacles that need to be overcome, especially when it comes to short-range, variable and isolated events such thunderstorms, tornadoes and snow squalls.
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That could change, however, with the aid of artificial intelligence, commonly referred to as AI.
Since meteorologists work with plenty of different variables and “constantly changing” data points, AI can lend a hand in forecasting as those are areas it is quite good at tackling, according to Neil Sahota, lead artificial intelligence advisor to the United Nations.
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“AI can check all the different weather-related variables, even for snow accumulation in real-time, and check it every second or even half-second, so that it can even see a small, very tiny, [minor] deviation from that baseline that we, probably as humans, would not normally notice until the variation got much larger,” said Sahota, in a recent interview with The Weather Network.