Data assimilation lies at the heart of numerical weather prediction, enabling the integration of observational data with dynamic atmospheric models to produce more accurate initial conditions and ...

Weather forecasting is not easy. The truth is that predicting future weather conditions over broad, or even narrow, swaths of Earth's surface comes down to complex microphysical processes, and as ...

Surface meteorological analyses serve a wide range of research and applications, including forcing inputs for hydrological and ecological models, climate analysis, and resource and emergency ...

Active weather spans much of the Western Hemisphere on Thursday, December 12. Accurately predicting the weather is hard — really hard, but a new AI-powered forecast model just hit a milestone that has ...

HRRR-Cast output showing simulated reflectivity and wind particles over the contiguous-U.S. domain for a line of strong thunderstorms that occurred May 6, 2024. This image was created using GSL’s DESI ...

As climate change continues to reshape the intensity and behavior of hurricanes, meteorologists and researchers are examining ...

Did you know meteorologists forecast the weather using a bunch of different physics and mathematical equations? They use these equations to create what's known as numerical weather models to predict ...

Many localized extreme weather events develop suddenly, intensify rapidly, and remain difficult to predict using conventional ...

Recent budget reductions to NOAA are reducing the observations needed to support the models that have revolutionized weather forecasting.

(CNN) — Accurately predicting the weather is hard — really hard, but a new AI-powered forecast model just hit a milestone that has experts saying your forecast could soon get more accurate, and ...