If you check your weather apps or consistently look at forecasting models and their outputs, you may notice that the outcomes ...

Researchers in China conceived a new PV forecasting approach that integrates causal convolution, recurrent structures, attention mechanisms, and the Kolmogorov–Arnold Network (KAN). Experimental ...

Weather forecasting has evolved significantly, employing sophisticated numerical models and artificial intelligence. These tools aim to provide accurate and timely predictions. However, even the most ...

Destructive hurricanes. Huge ocean waves. Sandstorms and severe smog. Extreme weather events are becoming increasingly common, piling pressure on communities to prepare for a range of disasters with ...

But using AI is still extremely tempting because the alternative is a computational atmospheric circulation model, which is extremely compute-intensive. Still, it’s highly successful, with the ...

WM-2’s new forecasting records can be attributed to both WindBorne’s novel pipeline of atmospheric data, as well as to the company’s proprietary AI modeling innovations PALO ALTO, Calif.--(BUSINESS ...

With one hurricane after another brewing in the Atlantic, you might be seeing some weird-looking forecast maps with lots of straggly lines predicting the tracks of both storms. These maps are ...

Google DeepMind and Google Research today announced WeatherNext 2 as its “most advanced and efficient forecasting model.” Notably, it’s helping power forecasts in Google’s consumer apps, including ...

A Microsoft model can make accurate 10-day forecasts quickly, an analysis found. And, it’s designed to predict more than weather. By Rebecca Dzombak Weather forecasters rely on models to help them ...

Global weather models form the foundation of much of the available solar irradiance and power forecasting, and are typically sourced from publicly funded weather agencies, including the European ...