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 ...

"AI-based models are revolutionizing weather forecasting and have surpassed leading numerical weather prediction systems on ...

AI matches daily forecasts like never before, but when it comes to heat, cold, and wind records, HRES physics rules.

The Indian monsoon, which usually begins its slow northward sweep around the start of June, brings three-quarters of the country’s annual rainfall. That makes it essential for agriculture, on which ...

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 ...

For weather forecasting, we traditionally use numerical weather prediction models that are based on physics principles and have seen large improvements over the last 20–30 years. We have been running ...

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 ...

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 ...

For most of the modern era, improvements in weather prediction followed a predictable trajectory. Better sensors led to ...

It's the season where the tropical chatter ramps up, especially when a model run shows a rogue tropical system developing into a hurricane, or in some cases, two major hurricanes right next to each ...