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 ...

In the new wave of artificial intelligence technology application, the 22nd China-ASEAN Expo will be held as scheduled from September 17 to 21, with a notable highlight being the inaugural AI-themed ...

Accurate forecasts of visibility are important to avoid disruption in air and highway traffic caused due to the formation of dense fog. However, accurate forecasting of visibility/fog remains a ...

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 ...

Now that Erin has dissipated, we can make such a determination, and in the biggest test of the Atlantic season to date, ...

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 ...

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 ...

(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 ...