Hydrology SAF - EW 2019

37 + 27 Minutes

Simone Gabelani, CIMA
Fabio Delogu, CIMA

Soil Moisture data assimilation for flood prediction

Published: 6 December 2019

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.

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Powerpoint Lecture slides...
Powerpoint Lecture slides...