The 2025 hurricane season was a coming-of-age story for AI weather models, which have been around in some capacity since ...

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 ...

Coastal and nearshore zones face growing pressure from storms, flooding, erosion, and sea-level rise, which threaten civil infrastructure such as ports, ...

Artificial intelligence-based models for global weather forecasting have advanced rapidly, but research on high-resolution data-driven limited area models remains scarce. Here we introduce a limited ...

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

A forecasting framework that measures how voters evaluate candidates’ future leadership abilities and policy expertise accurately anticipated the closely contested outcome of the 2024 United States ...

What if you could predict the future—not just in abstract terms, but with actionable precision? From forecasting energy demand to anticipating retail trends, the ability to make accurate predictions ...

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, a London-based AI research lab, has been in the business of machine learning-based weather forecasting for several years, but back in June announced a new experimental AI model ...

Agribot is a precision ag company that uses radar data to help inform crop production decisions much sooner than traditional ...