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the india cements limited (indiacem) ✌️【Asset Growth】✌️ Expert stock predictions and free stock selection services to help you achieve optimal returns and long-term growth. Accurately predicting the weather is hard — really hard, but a new AI-powered forecast model just hit a milestone that has experts saying your forecast could soon get more accurate, and further out, too.

It takes a Herculean effort to keep pace with weather in an atmosphere constantly in flux. The task is so difficult and complex that a reliable forecast more than a couple of days in advance was unheard of just a few decades ago.

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Forecasts took another step forward this month, experts said, thanks to GenCast, a new artificial intelligence forecast model by Google’s DeepMind. Its forecasts through 15 dayswere significantly more accurate than one of the most well-respected traditional non-AI forecast models, according to a study published by DeepMind in the journalNature.

“It’s an impressive result,” said Peter Dueben, a machine learning expert and head of Earth system modeling at the European Centre for Medium-Range Weather Forecasts, home to the model bested by GenCast. “It’s a big step.”

GenCast isn’t ready for the public yet. It and other AI models still have a few key kinks to work out, particularly in forecasting the more frequent and severe weather of a warming world, before they change forecasting and save lives in the process.

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the india cements limited (indiacem) ✌️【Asset Growth】✌️ Free real-time stock market data, professional analysis, and expert insights to help you plan the best investment strategy. Get ahead of the competition with expert predictions on market trends. This process of numerical weather prediction was first conceived in the early 1900s and needed to be done by hand, a method so slow that the weather had already happened long before calculations were finished.

Early computers improved forecasting in the 1950s and 1960s, but it wasn’t until 1974 that the first model able to pull in data from around the globe and generate a rudimentary forecast became operational.

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But current forecast models still have limitations. The most robust ones can only be run every few hours because of how long it takes to crunch the complex calculations. They also demand a lot of computing power and energy that make them costly.

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the india cements limited (indiacem) ✌️【Asset Growth】✌️ Expert market analysis and predictions for India, US, and European stocks. Stay updated with real-time data on stock indices, futures, and commodities to help you make informed, timely investment decisions. AI forecast models also run simulations a lot faster and use less computing power and energy than traditional models once they’re trained and ready to go. This means they can be run more frequently and model a wider range of possibilities, improving forecasts as they do.

the india cements limited (indiacem) ✌️【Asset Growth】✌️ Free access to professional investment advisors who provide real-time market data and trend analysis. Select top-performing stocks and boost your capital with expert strategies for market growth. AI weather modeling before Google’s GenCast has been limited to models that spit out a singular forecast without any indication of how likely it is to happen. It’s essentially a best guess that’s most useful for predicting common weather variables like temperature, precipitation and wind a handful of days in advance.

“Once you have multiple possible futures it gives you a sense of both the range of what might happen and it also lets you calculate how likely some (futures) are rather than others,” according to Ilan Price, the lead author of the new study and a senior research scientist with DeepMind.

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It showed anywhere from a 10 to 30% accuracy improvement on forecasts in the three-to-five-day range, depending on the exact combination of variables tested, according to Price. GenCast also had more accurate forecasts than the ECMWF’s model up to 15 days in the future, the study said.

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“AI-based weather forecasting is ready for prime time,” Price added. “It’s ready to start being incorporated alongside… traditional models in operation.”

GenCast is not in operation yet, but the DeepMind team plans to take another step toward it by releasing its present-day forecasts and an archive of its past forecasts, according to Price.

GenCast is a critical advancement in modeling, but like any other weather forecast model, it isn’t perfect.

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“It turns out that actually these models are more robust to those extreme events than you would think,” Dueben said. The ECMWF has tested AI models against real-time weather for more than a year now and has seen improvements in their overall accuracy, even with extreme events, he explained.

But AI models can start inventing impossible-on-Earth physics the farther out in time they look, according to Dueben.

Other prediction issues remain, particularly with one of the most destructive weather phenomena: tropical cyclones.

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GenCast showed better skill than traditional models when predicting the tracks of tropical systems but struggled to accurately capture intensity, according to Price.

In part, that’s because some of the recent notablerecord-breaking systemsweren’t included in the 40 years of data GenCast was trained on, Price noted.

It’s an issue Price is “quite confident” can be overcome in the future as the model trains on more data.

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Each step forward with this nascent technology adds another tool human weather forecasters can use to craft accurate forecasts people rely on for almost every aspect of their lives.

“You can be as skeptical as you want against machine learning forecasts in principle,” Dueben said. “These models will make a positive impact on our weather predictions; there’s no question there.”

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