
ALT "Combining advances in machine learning-based prediction with marine autonomy creates exciting new opportunities for how we measure and monitor the ocean, enabling rapidly updating regional environmental intelligence from hyper-sparse, reconfigurable observational networks to support real-time decision-making." Edward Steele It Fellow - Data Science, Met Office

ALT "By bringing together complementary expertise from academia, government and industry, the project also demonstrates the value of collaborative innovation in developing, testing and deploying new capabilities at pace The approach has the potential to support a wide range of applications, including offshore energy, marine search and rescue, defence, and broader maritime operations." Edward Steele It Fellow - Data Science, Met Office

ALT Met Office quote graphic on a blue background featuring a headshot of Dr Ed Steele, IT Fellow for Data Science at the Met Office. The quote reads: “This work with AWS shows how AI can help us transform complex weather data into clear, actionable insight at scale. By exploring how foundation models could support the initial drafting of text-based forecasts, we can free up expert meteorologists to focus their judgement where it matters most — supporting trusted decisions that help people stay safe and thrive.”














