PROSWIN: Probabilistic Solar Wind Speed Forecasting Using Deep Distributional Regression From Solar Images
Accurately predicting fast solar wind conditions is challenging, as uncertainties are large and unquantified by traditional single‐value prediction models. In particular, the risks of high‐speed solar wind streams (HSSs), which can cause damage to technological infrastructure, cannot be reliably assessed without pr...
Daniel F. Collin, Y. Shprits, Luca Chiarabini et al.
· AGU Advances · 2 citations