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.

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 ...

Weather sensitive sectors of society include those involved with energy generation, agriculture, forestry, fisheries, construction, recreation, tourism, transportation and navigation, public utilities ...

This Collection supports and amplifies research related to SDG13 Climate Action. Artificial Intelligence is transforming the landscape of numerical weather prediction (NWP), offering new pathways to ...

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

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 ...

Amid the myriad discussions about AI – from the astounding amount of money being spent by vendors and enterprises and the ...

NVIDIA has unveiled Earth-2, a family of open AI models and tools that aim to make advanced weather and climate forecasting ...

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.

Users are taking to the web, drawing attention to inaccuracies provided by the Pixel Weather app found on Google Pixel devices. Especially now, when parts of the US are bracing for a serious winter ...