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| Titel |
Assimilation of remote sensing observations into a continuous distributed hydrological model: impacts on the hydrologic cycle |
| VerfasserIn |
Paola Laiolo, Simone Gabellani, Lorenzo Campo, Luca Cenci, Francesco Silvestro, Fabio Delogu, Giorgio Boni, Roberto Rudari |
| Konferenz |
EGU General Assembly 2015
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 17 (2015) |
| Datensatznummer |
250112160
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| Publikation (Nr.) |
 EGU/EGU2015-12316.pdf |
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| Zusammenfassung |
| The reliable estimation of hydrological variables (e.g. soil moisture,
evapotranspiration, surface temperature) in space and time is of fundamental
importance in operational hydrology to improve the forecast of the rainfall-runoff
response of catchments and, consequently, flood predictions. Nowadays remote
sensing can offer a chance to provide good space-time estimates of several
hydrological variables and then improve hydrological model performances especially
in environments with scarce in-situ data. This work investigates the impact of the
assimilation of different remote sensing products on the hydrological cycle by
using a continuous physically based distributed hydrological model. Three soil
moisture products derived by ASCAT (Advanced SCATterometer) are used to update the
model state variables. The satellite-derived products are assimilated into the
hydrological model using different assimilation techniques: a simple nudging and
the Ensemble Kalman Filter. Moreover two assimilation strategies are evaluated to
assess the impact of assimilating the satellite products at model spatial
resolution or at the satellite scale. The experiments are carried out for three
Italian catchments on multi year period. The benefits on the model predictions of
discharge, LST, evapotranspiration and soil moisture dynamics are tested and
discussed. |
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