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Home » AI News » How Google uses its AI to predict floods
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AI News

How Google uses its AI to predict floods

CryptoAINewsBy CryptoAINewsAugust 19, 2026No Comments2 Mins Read
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What does Flood Hub do?

Flood Hub takes main climate knowledge from all over the world and makes use of AI to create prediction alerts on a map. This can be a main leap from conventional flood fashions, which usually require native historic knowledge like water ranges for calibration. Our AI permits us to tug from data internationally to supply predictions in areas even with out historic knowledge — which is vital since individuals who want warnings probably the most normally dwell in data-scarce areas.

After we first constructed the Flood Hub instrument, it was restricted to predicting when a river would flood. Over the previous couple of years, we’ve constructed a brand new AI methodology referred to as Groundsource, which expanded our protection to incorporate city flash flooding.

Why did it take us longer to combine city flash flooding into Flood Hub?

We had an enormous quantity of worldwide knowledge on river floods and virtually none on city flash floods. Flood Hub predicts river floods with two AI fashions that course of a variety of publicly out there knowledge sources. The Hydrologic Mannequin makes use of climate and land situations to forecast the quantity of water that can move by means of a river, and the Inundation Mannequin makes use of streamflow knowledge to foretell what areas might be affected. There are plenty of bodily gauges — or rulers — in rivers all over the world to measure water ranges over time, which helps with these predictions. It’s actually uncommon to search out sensors monitoring flash flooding in city areas, so we don’t have that sort of historic knowledge for city flash floods.

The place did you go to search out knowledge on city flooding?

With out an authoritative world knowledge set on city flooding, we knew we’d have to construct it ourselves. That’s after we got here up with the concept for Groundsource. First, it used Gemini to learn over 5 million information stories about flooding spanning a 20-year interval, creating an enormous, distinctive dataset of two.6 million historic flood occasions in additional than 150 international locations. We then built-in that knowledge into a brand new city flash flood mannequin that’s dwell in Flood Hub.



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