PA-Net: Precipitation-Adaptive Mixture-of-Experts for Long-Tail Rainfall Nowcasting
#PA-Net #rainfall nowcasting #mixture-of-experts #long-tail distribution #precipitation adaptation #weather prediction #machine learning model
📌 Key Takeaways
- PA-Net introduces a precipitation-adaptive mixture-of-experts model for rainfall nowcasting.
- The model specifically addresses long-tail rainfall distribution challenges in forecasting.
- It adapts dynamically to varying precipitation intensities to improve prediction accuracy.
- The approach enhances nowcasting performance for rare, high-intensity rainfall events.
📖 Full Retelling
arXiv:2603.13818v1 Announce Type: new
Abstract: Precipitation nowcasting is vital for flood warning, agricultural management, and emergency response, yet two bottlenecks persist: the prohibitive cost of modeling million-scale spatiotemporal tokens from multi-variate atmospheric fields, and the extreme long-tailed rainfall distribution where heavy-to-torrential events -- those of greatest societal impact -- constitute fewer than 0.1% of all samples. We propose the Precipitation-Adaptive Network
🏷️ Themes
Weather Forecasting, Machine Learning
Entity Intersection Graph
No entity connections available yet for this article.
Original Source
arXiv:2603.13818v1 Announce Type: new
Abstract: Precipitation nowcasting is vital for flood warning, agricultural management, and emergency response, yet two bottlenecks persist: the prohibitive cost of modeling million-scale spatiotemporal tokens from multi-variate atmospheric fields, and the extreme long-tailed rainfall distribution where heavy-to-torrential events -- those of greatest societal impact -- constitute fewer than 0.1% of all samples. We propose the Precipitation-Adaptive Network
Read full article at source