- AI is significantly improving weather forecasting accuracy, helping predict extreme weather events more reliably.
- The EU’s Destination Earth project is creating a digital twin of the planet to run complex simulations for predicting climate change evolution.
- Oxford University is working on AI models that complement existing physical weather models, particularly focusing on predicting rainfall with greater accuracy.
- AI models are about 25% more accurate in predicting the track of tropical cyclones, typhoons, and hurricanes, though challenges remain in predicting their intensity.
- Collaborations are underway globally, with several weather models across the world contributing to a comprehensive understanding of weather patterns.
- Projects like the one at Oxford University allow for the creation of low-cost, lightweight AI models capable of representing complex weather phenomena on devices as simple as laptops.
- AI and machine learning techniques are being used to add fine details onto routine forecasts, providing very high-resolution data useful for urban planning and emergency response.
- Weather forecasts are becoming increasingly precise, thanks to AI, improving day-to-day predictions and long-range forecasting.
- Citizen science initiatives are encouraged to contribute data, enhancing the accuracy and comprehensiveness of weather and climate models.
- The integration of AI with climate science is not only making predictions more accurate but also more accessible to regions worldwide, including those most vulnerable to the impacts of climate change.
The British Broadcasting Corporation is a British public service broadcaster headquartered at Broadcasting House in London. Originally established in 1922 as the British Broadcasting Company, it evolved into its current state with its current name on New Year’s Day 1927.
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Original video here.
This summary has been generated by AI.
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