Weather4cast Challenge

The Weather4cast challenge focuses on improving short-term weather forecasting, specifically precipitation prediction, using satellite imagery. Current research emphasizes the development and refinement of deep learning models, particularly U-Net and transformer architectures, often incorporating techniques like data augmentation and ensemble methods to enhance accuracy and efficiency. These advancements aim to improve the precision and computational cost-effectiveness of weather forecasting, ultimately leading to better preparedness for extreme weather events and more informed decision-making across various sectors.