Soil Moisture data assimilation for flood prediction
Simone Gabellani and Fabio Delogu describe how satellite soil moisture can be used in hydrological modelling trough data assimilation.
Length: 37+27 minutes.
The reliable estimation of hydrological variables in space and time is of fundamental importance in hydrology to improve the flood predictions and hydrological cycle description. Nowadays remotely sensed data can offer a chance to improve hydrological models especially in environments with scarce ground-based data. The presentation describes how satellite soil moisture can be used in hydrological modelling trough data assimilation.