A seven-day forecast on numerical weather prediction is roughly 72% accurate. Pretty good, but not what we would desire for a complete takeover.

Data assimilation is an important mathematical discipline in earth sciences, particularly in numerical weather prediction (NWP). However, conventional data assimilation methods require significant ...

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 ...

In summary, the researchers point out that evaluation of the wind field of numerical weather prediction models from the perspective of the vector field can provide a scientific basis for ...

"Numerical weather models not only simulate weather patterns but also calculate various parameters, including the Earth's energy emissions and reflections under various weather conditions.

When compared to the numerical weather prediction method, Pangu-Weather was 10,000 times faster, and was no less accurate.

AI outperforms conventional weather forecasting for the first time: Google study AI models may soon enable more accurate forecasts with higher speed and lower cost.

Professor Amir Behzadan joined an “invitation-only” group of experts from academia, government and the private sector to discuss the potential for artificial intelligence (AI) to transform weather ...

Alohotsy Rafalimanana, Christophe Giordano, Aziz Ziad, Eric Aristidi, Optimal Prediction of Atmospheric Turbulence by Means of the Weather Research and Forecasting Model, Publications of the ...

In a recent blog post titled “Make American Weather Prediction Great Again,” Cliff Mass, a professor of Atmospheric Sciences at the University of Washington, argues the U.S. is lagging behind ...