AI-powered 'digital twin' of Earth could make weather predictions at super speeds

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Emma Bryce is a London-based freelance journalist who writes primarily about the environment, conservation and climate change. She has written for The Guardian, Wired Magazine, TED Ed, Anthropocene, China Dialogue, and Yale e360 among others, and has masters degree in science, health, and environmental reporting from New York University.

Scientists have created a"digital twin" of our planet that can be used to predict weather far faster than traditional services.

The platform, called Earth-2, contains a suite of machine learning technologies developed by Nvidia, all of it driven by supercomputers to provide the immense processing power needed to do the job. Related: Atlantic's hurricane alley is so hot from El Niño it could send 2024's storm season into overdrive

The intensive training means the AI can quickly sift through troves of weather and climate data, churning out thousands upon thousands of potential outcomes and ultimately calculating the probability of certain weather outcomes in a particular location.

 

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