AI-powered weather forecasts could miss extreme storms
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Weather forecasts based on AI are faster and sometimes more accurate than traditional ones, but they may miss rare and unprecedented weather events – which are becoming more common as the climate changes
Weather forecasts can miss rare events like the extreme rainfall caused by 2017’s Hurricane Harvey
NASA/NOAA GOES Project/Getty Images
Training AI models on historical weather patterns can turn them into accurate forecasters – but they may not be able to predict extreme events that don’t occur in their training data. This could be a growing issue as climate change drives more unprecedented weather.
“These models are good, but the question we have been asking is about events that are so rare and strong that these models…
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摘要
AI-based weather forecasts are quicker and often more accurate than traditional methods but may fail to predict rare and unprecedented weather events, which are increasingly common due to climate change. These AI models, trained on historical data, struggle to forecast extreme conditions not present in their training datasets.