Many localized extreme weather events develop suddenly, intensify rapidly, and remain difficult to predict using conventional ...
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 ...
Recent budget reductions to NOAA are reducing the observations needed to support the models that have revolutionized weather forecasting.
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Researchers using AI for weather forecasting
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 ...
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 ...
The BWS team launched a weather balloon ahead of Hurricane Imelda, gathering “critical observational data.” The Bermuda Weather Service posted the video below online and said, “The diligent and ...
(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 ...
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