Gives an introduction on how to go from monitoring to understanding in the context of drought events in alpine environments. It further shows how such a system can be built integrating machine learning models with physical based models and technologies like openEO for describing workflows that can realize a digital twin for seasonal forecasting of drough events in the context of an early warning system.