2 papers
cs.LG2025
Enhancing operational wind downscaling capabilities over Canada: Application of a Conditional Wasserstein GAN methodology
Jorge Guevara, Victor Nascimento, Johannes Schmude +4
Wind downscaling is essential for improving the spatial resolution of weather forecasts, particularly in operational Numerical Weather Prediction (NWP). This study advances wind do…
cs.LG2024
Advancing Heatwave Forecasting via Distribution Informed-Graph Neural Networks (DI-GNNs): Integrating Extreme Value Theory with GNNs
Farrukh A. Chishtie, Dominique Brunet, Rachel H. White +11
Heatwaves, prolonged periods of extreme heat, have intensified in frequency and severity due to climate change, posing substantial risks to public health, ecosystems, and infrastru…