It was only a generation or two ago that weather forecasts were not to be taken too seriously: funny-guy meteorologists on the local news wisecracking about ruined golf plans. That has long stopped ...

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

For farmers, every planting decision carries risks, and many of those risks are increasing with climate change. One of the most consequential is weather, which can damage crop yields and livelihoods.

The observational track of Typhoon "Danas" (solid line) along with forecasted paths (dashed lines) depicted on the FY-4B satellite visible light imagery at 08:00 BST on July 6, 2025. The dashed lines ...

Predicting tropical cyclones (TCs) accurately is crucial for disaster mitigation and public safety. Although the forecasting accuracy of TC tracks has improved substantially in recent decades, ...

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 ...

AI’s appeal lies in its ability to handle high-impact, low-probability events. Extreme weather disasters fall squarely into ...

Weather‍‌‍‍‌‍‌‍‍‌ forecasts cannot be guaranteed at any time; therefore, understanding the range of possible outcomes is absolutely necessary for making decisions such as issuing public warnings or ...