Strong convective precipitation is the main cause of disasters such as floods and mudslides, resulting in huge economic losses and casualties. Moreover, strong convective precipitation is difficult to ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

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A global team of researchers has made strides in refining weather forecasting methods, with a specific focus on addressing the persistent issue of "quantile crossing." This phenomenon disrupts the ...

As climate change makes extreme weather more likely, and more unpredictable, meteorologists and government agencies need new tools to keep up. Two studies published this week in the scientific journal ...

Weather forecasting is closely relevant to human society. To obtain more constructive guidance for weather-dependent decision-making, one essential direction is to refine the granularity of prediction ...

On Tuesday, the peer-reviewed journal Science published a study that shows how an AI meteorology model from Google DeepMind called GraphCast has significantly outperformed conventional weather ...

Over the centuries, people have pressed all sorts of creatures, from cows to frogs to crickets, into the service of meteorological forecasting. Some instances of animal-aided forecasting are truly ...

Looking back for the past couple of years, artificial intelligence has been one of the hottest topics in the news and on social media. If you had any idea that AI was just another fad like the hula ...

Climate scientists are building artificial intelligence (AI) into traditional weather forecasting methods in East Africa to improve the accuracy of extreme weather predictions with minimal cost.

Can weather forecasts speed up predictions to help better prepare for inclement weather? This is what a recent study published in Journal of Geophysical Research Atmospheres hopes to address as an ...