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| Titel |
Soil moisture-runoff relation at the catchment scale as observed with coarse resolution microwave remote sensing |
| VerfasserIn |
K. Scipal, C. Scheffler, W. Wagner |
| 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 ; 9, no. 3 ; Nr. 9, no. 3 (2005-08-16), S.173-183 |
| Datensatznummer |
250006863
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| Publikation (Nr.) |
 copernicus.org/hess-9-173-2005.pdf |
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| Zusammenfassung |
| Microwave remote sensing offers emerging capabilities to monitor global
hydrological processes. Instruments like the two dedicated soil moisture
missions SMOS and HYDROS or the Advanced Scatterometer onboard METOP will
provide a flow of coarse resolution microwave data, suited for macro-scale
applications. Only recently, the scatterometer onboard of the European Remote
Sensing Satellite, which is the precursor instrument of the Advanced
Scatterometer, has been used successfully to derive soil moisture information
at global scale with a spatial resolution of 50 km. Concepts of how to
integrate macro-scale soil moisture data in hydrologic models are however
still vague. In fact, the coarse resolution of the data provided by microwave
radiometers and scatterometers is often considered to impede hydrological
applications. Nevertheless, even if most hydrologic models are run at much
finer scales, radiometers and scatterometers allow monitoring of
atmosphere-induced changes in regional soil moisture patterns. This may prove
to be valuable information for modelling hydrological processes in large
river basins (>10 000 km2. In this paper, ERS scatterometer derived
soil moisture products are compared to measured runoff of the Zambezi River
in south-eastern Africa for several years (1992–2000). This comparison
serves as one of the first demonstrations that there is hydrologic relevant
information in coarse resolution satellite data. The observed high
correlations between basin-averaged soil moisture and runoff time series
(R2>0.85) demonstrate that the seasonal change from low runoff during
the dry season to high runoff during the wet season is well captured by the
ERS scatterometer. It can be expected that the high correlations are to a
certain degree predetermined by the pronounced inter-annual cycle observed in
the discharge behaviour of the Zambezi. To quantify this effect, time series
of anomalies have been compared. This analysis showed that differences in
runoff from year to year could, to some extent, be explained by soil moisture
anomalies. |
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