Taiwan Leverages AI Technology to Predict Tropical Storm Bebinca’s Path 2024

As tropical storm Bebinca approaches northern Taiwan, weather forecasters are using artificial intelligence (AI) to accurately predict its path and potential impact. AI-powered weather models are proving to be more effective than traditional methods, providing better insights into storm patterns.

AI Outperforms Conventional Weather Forecasting

In recent months, Taiwan has started using AI-based forecasting models from tech giants like Nvidia, Google, and Huawei. These models, powered by AI chips from Taiwan’s semiconductor leader TSMC, have shown promising results in predicting storm tracks. The AI technology made its debut earlier this year during Typhoon Gaemi, the strongest storm to hit Taiwan in eight years.

A New Era of Weather Prediction

When Typhoon Gaemi approached, AI tools impressed Taiwanese meteorologists by predicting a direct hit eight days before it made landfall, significantly outperforming traditional forecasting methods. “People are starting to realise AI indeed delivered some stunning performances compared to conventional models,” said Chia Hsin-sing, a weather expert at Taiwan Integrated Disaster Prevention of Technology Engineering Consulting Company Ltd.

Tracking Bebinca with AI Precision

Now, as tropical storm Bebinca draws closer, the same AI tools are being used to track its path. Lin Ping-yu, a forecaster at Taiwan’s Central Weather Administration (CWA), explained that the AI predictions have given forecasters more confidence. “This (AI) is a good thing for us. It is like having one more useful tool to use,” Lin stated.

How AI Works for Weather Forecasting

AI weather models, including Nvidia’s FourCastNet, Google’s GraphCast, and Huawei’s Pangu-Weather, are trained on historical data to predict weather patterns. These models analyze hundreds of weather variables in just minutes, helping forecasters make accurate predictions days in advance.

According to the CWA, AI’s accuracy in predicting storm tracks this year has been 20% higher than conventional models. With AI’s help, Taiwan issued early warnings for Gaemi, which saved lives and allowed more time for disaster preparedness.