3 papers
cs.LG2025
Supporting renewable energy planning and operation with data-driven high-resolution ensemble weather forecast
Jingnan Wang, Jie Chao, Shangshang Yang +10
The planning and operation of renewable energy, especially wind power, depend crucially on accurate, timely, and high-resolution weather information. Coarse-grid global numerical w…
cs.LG2025
Generative assimilation and prediction for weather and climate
Shangshang Yang, Congyi Nai, Xinyan Liu +11
Machine learning models have shown great success in predicting weather up to two weeks ahead, outperforming process-based benchmarks. However, existing approaches mostly focus on t…
physics.ao-ph2024
Boosting weather forecast via generative superensemble
Congyi Nai, Xi Chen, Shangshang Yang +3
Accurate weather forecasting is essential for socioeconomic activities. While data-driven forecasting demonstrates superior predictive capabilities over traditional Numerical Weath…