As part of the Copernicus Programme, Sentinel 1 (S1) synthetic aperture radar (SAR) mission represents a unique monitoring tool whose potentialities for hydrological risk mitigation need to be evaluated. To this aim, S1-A derived soil moisture maps with high spatial resolution (100 m) and moderate temporal resolution (12 days) were assimilated within a time-continuous, spatially-distributed, physically based hydrological model (Continuum) with the specific objective to evaluate the impact on discharge predictions and (flash) flood modelling. A Nudging assimilation scheme was chosen for the DA experiment due to its computational efficiency, particularly useful for operational applications. Results were evaluated in the Orba River catchment (Italy) in the time period October 2014 - November 2016, corresponding to the first two years of activity of the S1-A mission.

EXPLOITING SENTINEL 1 DATA FOR IMPROVING (FLASH) FLOOD MODELLING VIA DATA ASSIMILATION TECHNIQUES

Cenci, L;Pulvirenti, L;Boni, G;Gabellani, S;BASSO, VALERIO;PIGNONE, FLAVIO;
2017-01-01

Abstract

As part of the Copernicus Programme, Sentinel 1 (S1) synthetic aperture radar (SAR) mission represents a unique monitoring tool whose potentialities for hydrological risk mitigation need to be evaluated. To this aim, S1-A derived soil moisture maps with high spatial resolution (100 m) and moderate temporal resolution (12 days) were assimilated within a time-continuous, spatially-distributed, physically based hydrological model (Continuum) with the specific objective to evaluate the impact on discharge predictions and (flash) flood modelling. A Nudging assimilation scheme was chosen for the DA experiment due to its computational efficiency, particularly useful for operational applications. Results were evaluated in the Orba River catchment (Italy) in the time period October 2014 - November 2016, corresponding to the first two years of activity of the S1-A mission.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11567/935378
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