Google's AI can accurately predict weather forecast 15 DAYS in advance

Google 's GenCast model was more accurate across 99.8% of predictions up to 15 days in advance.

It uses AI to spot patterns in historical weather data and create 50 possible outcomes.

When the majority of these possibilities show the same weather events occurring, scientists can predict the weather with a high degree of confidence.

Google claims that this method is not only faster, but also provides a better forecast for both day-to-day weather and extreme events.

Google DeepMind admits that traditional models are likely to be irreplaceable for the foreseeable future - not least because they provide the data to train AI . However, AI forecasts have a major advantage in terms of speed and computer power. Traditional forecasts such as the ENS take hours on a supercomputer with tens of thousands of processors. GenCast , on the other hand, takes just eight minutes to produce a 15-day forecast using a single processing unit. In the future, this means AI models could become far more common for applications like extreme weather prediction or planning around renewable energy sources like solar and wind..