Abstract

Development of novel techniques in data-driven methods has motivated the application of these methods to space weather. For operational space weather in particular, it is vital to clarify regimes of validity for model fits, and ensure model generalizability. This avoids compromising model performance, especially in operational scenarios, where generalizability is especially important. We show an example of the importance of this class of techniques for the problem of F10.7 nowcasting.