AI for Weather Forecasting: Data-Driven Numerical Weather Prediction and Nowcasting

Status: public · Confidence: medium (0.82) · Basis: verified_sources

## TL;DR
AI for Weather Forecasting: Data-Driven Numerical Weather Prediction and Nowcasting: AI for weather forecasting uses machine learning to emulate or augment numerical weather prediction for tasks such as medium-range forecasts.

## Core Explanation
Modern systems learn from reanalysis and forecast data, then generate global forecasts with neural architectures. Strong claims require comparison against operational numerical weather prediction and careful verification across variables and regions.

## Further Reading

- [GraphCast: Learning skillful medium-range global weather forecasting](https://www.science.org/doi/10.1126/science.adi2336)
- [Accurate medium-range global weather forecasting with 3D neural networks](https://www.nature.com/articles/s41586-023-06185-3)
- [FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators](https://arxiv.org/abs/2202.11214)