Pre-programmed flights gather data at different altitudes then return to bases to recharge and download

Weather happens in the boundary layer, the atmosphere from ground level to a few thousand metres, but this can be difficult to study in detail: weather stations are too low, and aircraft are expensive. Instrumented weather balloons are the traditional solution, and thousands are released every day. But these are at the mercy of the wind and use irreplaceable helium.

Drones offer an alternative and the US company Meteomatics has taken the idea further with Meteobase, a base station on the ground with a drone that can be launched and recovered automatically. It carries out a pre-programmed flight, gathering data at different altitudes, then returns to recharge and download data which the Meteobase sends to researchers.

It feels like there's no escaping AI right now, whether you’re trying to type a sentence without being interrupted by a digital “assistant” or struggling to find a new refrigerator that doesn’t require a Wi-Fi connection for some reason. You’d be forgiven for wondering if we’re in the midst of a quantum leap in tech or whether people are just hyping up a heap of slop.

So what should we make of the growing use of AI in weather and climate modeling?

The conversation didn't get off to a great start earlier this year when a National Weather Service office posted a forecast map featuring nonexistent cities in Idaho with names like “Whata Bod” and “Orangeotild.” Thankfully, that was just an AI-generated image produced for social media, not the actual forecast model. Meteorologists and climate scientists are not yet being replaced by large language model prompt engineers.

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