Overview Python projects in 2026 emphasize hands-on learning through real-world use cases rather than purely academic examples.Beginner projects focus on logic ...

The AI models, developed under an initiative called Project Eagle, promise to deliver better forecasts using less ...

A global effort to better understand moisture-laden rivers in the sky, like those currently battering the West Coast, will ...

Here's an interesting fact: companies that rely on data to make their decisions are more likely to achieve better results.

There are a lot of options for local weather stations; most of them, however, are sensors tied to a base station, often requiring an internet connection to access all features. [Vinnie] over at ...

Agrilever, a pioneering agritech firm empowering smallholder rice farmers in the Philippines, has partnered with global weather intelligence leader Tomorrow.io to bring hyperlocal, AI-powered ...

Lake effect snow, intense rain and chilly temperatures dominate the forecasts for different parts of the U.S., before and ...

The intermittent nature of solar energy poses challenges to grid stability, making accurate ultra-short-term solar irradiance ...

NOAA is using those traditional forecasting models as frameworks for its new AI forecasting systems. The agency has estimated ...

The models were built and deployed by NOAA's Environmental Modeling Center in coordination with the National Weather Service. A spokesperson for the service, Erica Grow Cei, ...

China’s push to be a weather superpower has seen authorities accelerate efforts to end reliance on a European dataset, ...