They look, move and smell like rabbits a Burmese python would love to eat. But these bunnies are robots meant to lure the ...

Climate change poses significant challenges for building design and performance simulation, requiring accurate future weather data. This paper presents a Python-based tool for generating future ...

The data is crunched and a “spaghetti” model is produced ... That could change again as the storm gets closer. Weather alerts via text: Sign up to get updates about current storms and weather events ...

The more weather observations meteorologists can rely on, the more precise their forecasts will be. Here's what goes into an accurate forecast.

The military is walking back its previously announced plans to discontinue some weather forecast data after public pushback. The Navy’s Fleet Numerical Meteorology and Oceanography Center will ...

After announcing it would lose access to key weather satellite data, NOAA will retain access, the agency said in a statement.

You can count on people on social media to complain about the accuracy of weather apps. NPR hears some advice on how to pick more reliable ones.

Thanks to A.I., companies like WindBorne hope to usher in a golden age of forecasting. But they rely in part on government data — and the agency that provides it is in turmoil.

Aurora, an AI foundation model revolutionizes weather and environmental forecasting with accuracy, speed and efficiency.

AI is transforming weather forecasts with enhanced accuracy, but critical data access and interpretability challenges are limiting this revolution.

Whether you get your forecast from an app on your phone, a website or a meteorologist on TV, most of the underlying information comes from the federal government.