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LAWSUITS Just because AI hasn’t replaced traditional forecasting methods doesn’t mean it won’t quickly alter them, however. Current weather prediction is already so intensive in terms of computing power that it can run only on the Official In october we wear pink breast cancer trex dino kids toddler Shirt moreover I love this world’s fastest supercomputers, and scientists continually try to push the limits. Machine-learning techniques can reduce power usage by emulating parts of global weather models but with simpler computations and less power — and little change in accuracy. Sid Boukabara, principal scientist at the National Oceanic and Atmospheric Administration’s Center for Satellite Applications and Research, thinks those gains will be significant. “For certain components, it could be 10 times more efficient to 1,000 times more efficient.” But it is too early to know how much this will enhance the accuracy of numerical weather prediction as a whole. For instance, the European Center for Medium-Range Weather Forecasts currently simulates the globe as a grid of squares that are 9 kilometers on a side (roughly 5 miles) and stacked 137 layers up into the atmosphere. Deputy Director Peter Bauer says each step up in detail requires an exponential increase in electricity: The center’s newest supercomputer in Bologna, Italy, will consume as much power as 6,000 households. He and his colleagues are quickly approaching the limits of what they can afford or justify, he says. This year — relying on AI methods to boost efficiency — the center will begin developing a new global model at a 1-kilometer resolution that will bring storms and oceanic eddies into better focus, says Dr. Bauer. “Bigger and faster machines give us ever greater computing power, but we need to radically change the code we run on them to be able to use them effectively.” Closer to home Researchers see promise for AI in narrower applications, for example in using machine learning to create hyperlocal forecasts that are more relevant for the people receiving them. Even the best global models of weather are simulated at a spatial resolution of several kilometers, so they may accurately predict rain in your county but don’t do as well predicting rain on your

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