Analysing parameter sensitivities in a complex distributed hydrological model using remotely sensed surface temperatures

摘要

Through a sensitivity analysis it is shown that traditional objective functions based on stream discharge and groundwater levels cannot alone constrain a complex groundwater-surface water-energy balance model. The patterns of land surface parameters especially require a distributed observational dataset. It is suggested that the traditional lumped observations are complemented by diurnal change in remotely-sensed land surface temperature in order to minimize the quantitative uncertainty of the spatial objective functions.