Nvidia’s first model is Medium Range, which is aimed at weather predictions for up to 15 days in advance, across more than 70 weather variables, including temperature, pressure, wind, and humidity.

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 ...

AI weather models have correctly predicted a 20-day monsoon stall in India affecting 38 million farmers, demonstrating four-week forecast accuracy on laptop hardware.

The integration of wind lidar observations with numerical weather prediction (NWP) represents a significant stride in atmospheric science. Lidar systems, utilising laser backscatter techniques, ...

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 ...

After a merciful lack of hurricanes in the U.S. and an unusually quiet Gulf of Mexico, the 2025 Atlantic hurricane season wasn’t too memorable in Louisiana. But the season will be remembered for ...

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 intermittent nature of solar energy poses challenges to grid stability, making accurate ultra-short-term solar irradiance forecasting crucial for balancing supply and demand. However, traditional ...

NVIDIA has open-sourced its Earth-2 AI weather models, claiming to outperform Google DeepMind's GenCast with 15-day forecasts running on standard GPUs.

Researchers from the Hong Kong University of Science and Technology (HKUST) have developed a new AI model which they ...