The field of hydrology originally evolved in a data-scarce environment. Process-based models, grounded in physical theory, have been used to translate knowledge of hydrologic processes into interpolations and predictions of hydrologic fluxes when observations were too infrequent, distant, or limited. Currently, new observations from aerial, terrestrial, and aquatic drones; in-situ sensor networks logging continuous data; optical sensors, embedded nano, microbial, chemical, radiometric, and acoustic devices; and close-range remote sensing (incl. static and aerial platforms) and space-based platforms allow us to directly observe complex hydrologic processes at a variety of spatiotemporal scales, transforming the hydrologic data landscape from one of dearth to one of abundance. In translating insights from new observations into our process-based modelling frameworks, we develop a powerful interface for uncovering new knowledge about hydrologic systems from source to sea regions, i.e. from head-watersheds to coastal areas. At this session, we welcome abstracts that showcase breakthroughs into the dynamics of hydrological processes enabled by next-generation observation systems. Specific topics could include how cutting-edge technology has enabled reparameterization of processes such as overland flow; discharge and velocity estimation; wave propagation and timing; vadose zone and groundwater hydraulics; boundary layer dynamics ; convective processes; snow accumulation and melt; permafrost active layer dynamics; biogeochemical and nutrient cycling; extreme events; and localized or idiosyncratic hydrologic systems. Submissions from the Digital Waters Flagship and Pilot (https://digitalwaters.fi) are strongly encouraged.