By using artificial intelligence to spot patterns in weather data, Google DeepMind says it can beat existing weather forecasts up to 99.7 per cent of the time, but data issues mean the approach is limited for now
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How did you become an oceanographer?
I originally studied physics, and then I wanted to apply this to understanding to what was happening in the real world around me. I studied for a PhD, went off to sea on a research voyage and was bitten by the oceanography bug. It’s so exciting to make observations of how our planet works that no-one’s ever made before.
What are autonomous ocean gliders and what inspired you to use them as research tools?
I call them mechanical dolphins – they’re about the same size and shape, and they go up and down in the ocean by themselves making measurements for us. Every time they come to the surface, they put their antenna out of the water and phone home to send us the data. When I first heard about ocean gliders I was so excited – I love the idea of something out there in all weathers sending us new measurements all the time.