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 ...

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 problem comes down to how these tools learn. New study reveals unexpected results after using AI tools to predict extreme ...

The use of AI models and expanding observational technology are part of the government’s push to fill gaps in forecasting as ...

AI weather models have correctly predicted a 20-day monsoon stall in India affecting 38 million farmers, demonstrating ...

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 ...

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 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 ...

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 ...

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 ...