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| Titel |
Exploiting remote sensing land surface temperature in distributed hydrological modelling: the example of the Continuum model |
| VerfasserIn |
F. Silvestro, S. Gabellani, F. Delogu, R. Rudari, G. Boni |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1027-5606
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| Digitales Dokument |
URL |
| Erschienen |
In: Hydrology and Earth System Sciences ; 17, no. 1 ; Nr. 17, no. 1 (2013-01-11), S.39-62 |
| Datensatznummer |
250017674
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| Publikation (Nr.) |
 copernicus.org/hess-17-39-2013.pdf |
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| Zusammenfassung |
Full process description and distributed hydrological models are very useful
tools in hydrology as they can be applied in different contexts and for a
wide range of aims such as flood and drought forecasting, water
management, and prediction of impact on the hydrologic cycle due to natural and human-induced changes.
Since they must mimic a variety of physical processes, they
can be very complex and with a high degree of parameterization. This
complexity can be increased by necessity of augmenting the number of
observable state variables in order to improve model validation or to
allow data assimilation.
In this work a model, aiming at balancing the need to reproduce the physical
processes with the practical goal of avoiding over-parameterization, is
presented. The model is designed to be implemented in different contexts
with a special focus on data-scarce environments, e.g. with no streamflow
data.
All the main hydrological phenomena are modelled in a distributed way. Mass
and energy balance are solved explicitly. Land surface temperature (LST), which is
particularly suited to being extensively observed and assimilated, is an
explicit state variable.
A performance evaluation, based on both traditional and satellite derived
data, is presented with a specific reference to the application in an
Italian catchment. The model has been firstly calibrated and validated
following a standard approach based on streamflow data. The capability of
the model in reproducing both the streamflow measurements and the land
surface temperature from satellites has been investigated.
The model has been then calibrated using satellite data and geomorphologic
characteristics of the basin in order to test its application on a basin
where standard hydrologic observations (e.g. streamflow data) are not
available. The results have been compared with those obtained by the
standard calibration strategy based on streamflow data. |
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