AI Weather Forecasting: Can Machine Learning Predict Storms Better?

AI (AI weather forecasting) systems are either matching or outperforming traditional weather models when it comes to tracking storms. For example, in the year 2025, the National Hurricane Center reported that Google DeepMind had somewhat outperformed traditional models in its track forecasts for time intervals ranging between 12 and 72 hours.
What condition will 2025 have?
According to a former forecaster at the National Hurricane Center, James Franklin, the best results in both the area of track and intensity AI weather forecasting in the Atlantic and Pacific areas were achieved with the help of DeepMind’s model. However, it should be mentioned that not all AI systems performed so successfully because of the fact that the AI system of the European Center achieved no success at all in its forecasts, compared to the baseline.
At what points does AI fail?
Analysts reported that GraphCast was not able to outperform previous models in the works of prediction on the faster intensification of Hurricane Otis, and head experts have expressed their concerns regarding models that were trained using historical data and pointed out that they may face challenges connected wΨith adverse effects of climate change.
In what cases will AI be implemented?
AI is cheaper and faster, and forecasters now blend AI and physics-based models. Shorter lead times could improve weather warnings and reduce losses from environmental disasters.
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