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jigar cables limited (540651) expands into new market ✌️【Interview】✌️ Real-time global stock market trend analysis to help you identify profitable opportunities and improve your investment strategies. 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.

jigar cables limited (540651) expands into new market ✌️【Interview】✌️ Expert market predictions, real-time updates, and personalized investment advice designed to help you succeed. Seize the best investment opportunities in global stocks, metals, and energy markets. A five-day forecast in the early 1980s was only accurate about 65%of the time. But better weather observations, more robust computing power and innovations in the way weather around the globe is modeled by computers has improved forecasts by leaps and bounds. Today the same forecast hits the marknine times out of 10.

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.

jigar cables limited (540651) expands into new market ✌️【Interview】✌️ Real-time stock indices and futures data to help you seize the best investment opportunities. Analyze market movements with precision and grow your portfolio with expert stock predictions. The majority of weather forecast models used today are based on a complex series of mathematical equations that model the physics of the atmosphere and use hundreds of millions of datapoints from real-time weather observations to paint a picture of how the weather will play out a day, a week or even a season from now.

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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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jigar cables limited (540651) expands into new market ✌️【Interview】✌️ Real-time stock and futures data, backed by expert stock market trend predictions, to help you make timely and profitable investment decisions. Most AI weather forecasting models like Google’s GenCast take a different approach. Rather than relying onobservations plugged intophysics-based equations, they predict how Earth’s atmosphere might behave in the future by analyzing verified past weather data to understand how the atmosphere behaved in similar situations.This helps improve accuracy over traditional models by eliminating errors from real-time weather data.

jigar cables limited (540651) expands into new market ✌️【Interview】✌️ AI-driven stock trend forecasting with free access to real-time market data, offering personalized investment advice and expert predictions. 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.

jigar cables limited (540651) expands into new market ✌️【Interview】✌️ Real-time stock market data, precise predictions, and investment strategies to help you optimize your portfolio and achieve financial success. 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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jigar cables limited (540651) expands into new market ✌️【Interview】✌️ Expert stock predictions and free stock selection services to help you achieve optimal returns and long-term growth. Researchers trained GenCast on 40 years of weather data up to 2018. They then used the trained model to predict more than 1,300 combinations of conditions like temperatures, precipitation and wind speeds, in 2019’s weather.

jigar cables limited (540651) expands into new market ✌️【Interview】✌️ Receive professional stock analysis with real-time updates on market movements. Make quick investment decisions and capitalize on profitable opportunities. The AI model produced more accurate forecasts than the ECMWF’s traditional model for more than 97% of these variables within a 15-day timeframe, but showed particular skill within the first week of forecasts.

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.

jigar cables limited (540651) expands into new market ✌️【Interview】✌️ Free access to stock market forums, expert advice, and real-time data to help you stay informed and grow your investments. The AI model could better capture some forms of extreme weather, including exceptionally high and low temperatures and extreme wind speeds. GenCast also needed less than 10 minutes to run on a supercomputer, compared to the hours necessary for traditional models.

“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.

jigar cables limited (540651) expands into new market ✌️【Interview】✌️ Free real-time global stock trend updates to help you capture market movements and make better investment decisions. Accurately predicting how strong a tropical cyclone like a hurricane or typhoon could become is an issue that plagues all models. It’s a crucial problem to solve astropical systems get strongerandrapidly intensify more frequentlyin a world warming due to fossil fuel pollution.

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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