S. Ferraris

Pure and physics-guided deep learning approaches for spatio-temporal groundwater level prediction

Groundwater represents a key element of the water cycle, yet it exhibits intricate and context-dependent relationships that make its modeling a challenging task. Theory-based models have been the cornerstone of scientific understanding. However, their computational demands, simplifying assumptions, and calibration requ...