An Integrated Hydrologic Modeling and Data Assimilation Framework

Recent advances in remote sensing technologies have enabled the monitoring and measurement of Earth's land surface. Such provide data about Earth's vegetation, water, and energy fluxes. These must be integrated with state-of-the-art land-surface model forecasts using data assimilation tools to generate spatially and temporally continuous estimates of environmental conditions. The need to develop modeling systems that identify and represent connections between land-surface hydrology and different components of the Earth system provides another key requirement for advancing hydrological prediction capabilities.