This Summer School offers early career researchers interested in large-scale hydrology research an opportunity to engage in dedicated lectures and practical sessions. The focus will be on advanced techniques for measuring and modeling the water cycle, as well as integrating Satellite Gravity, Satellite Altimetry, and Soil Remote Sensing into large-scale hydrological models. Participants will be introduced to ensemble-based sequential Data Assimilation (DA) techniques for merging satellite data with models. The school emphasizes hands-on learning, featuring practical exercises in Python, along with various interactive activities.