Hydrological models are essential tools in water resources assessment and management. Advanced computational algorithms can help to simulate soil moisture that can assist in agricultural water management. A bottleneck of hydrological models is often lack of sufficient and accurate observations in space and time to develop mathematical models. WATERLINE will employ information from remote sensing, historical data, in-situ data from meteorological networks as well as crowdsourced measurements to improve hydrological models and their predictions. We will optimize the computational performances to provide near real-time and short-term predictions of various hydrological states with unprecedented spatial detail. Improved representation of soil moisture, groundwater levels and recharge, stream discharge, and evapotranspiration can significantly advance the sustainable management of water resources for a wide range of stakeholders.

2021

2024