Enhancing predictive skills in physically-consistent way: Physics Informed Machine Learning for Hydrological Processes

no code implementations • 22 Apr 2021 • Pravin Bhasme, Jenil Vagadiya, Udit Bhatia

Here we develop a Physics Informed Machine Learning (PIML) model that combines the process understanding of conceptual hydrological model with predictive abilities of state-of-the-art ML models.

BIG-bench Machine Learning Physics-informed machine learning +2