Nowcasting for operational water management using reduced hydrological models and data assimilation
09 / 2003 - 09 / 2007
Context: water management and hydrology. Aim: Building a system for optimal prediction of hydrological variables (soil moisture, groundwater, discharge, soil temperature) at high resolution by combining hydrological models with ground-based and remote sensing observations in a data assimilation framework. Accurate high-resolution predictions of hydrological variables provide valuable information for operational water management. Methods: geostatistics, numerical modelling, field observations, data assimilation. Present topics: conditional downscaling of radar data.