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| Titel |
Assimilating scatterometer soil moisture data into conceptual hydrologic models at the regional scale |
| VerfasserIn |
J. Parajka, V. Naeimi, G. Blöschl, W. Wagner, R. Merz, K. Scipal |
| 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 ; 10, no. 3 ; Nr. 10, no. 3 (2006-05-17), S.353-368 |
| Datensatznummer |
250008060
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| Publikation (Nr.) |
 copernicus.org/hess-10-353-2006.pdf |
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| Zusammenfassung |
| This paper examines the potential of scatterometer data from ERS satellites
for improving hydrological simulations in both gauged and ungauged
catchments. We compare the soil moisture dynamics simulated by a
semidistributed hydrologic model in 320 Austrian catchments with the soil
moisture dynamics inferred from the satellite data. The most apparent
differences occur in the Alpine areas. Assimilating the scatterometer data
into the hydrologic model during the calibration phase improves the
relationship between the two soil moisture estimates without any significant
decrease in runoff model efficiency. For the case of ungauged catchments,
assimilating scatterometer data does not improve the daily runoff
simulations but does provide more consistent soil moisture estimates. If the
main interest is in obtaining estimates of catchment soil moisture,
reconciling the two sources of soil moisture information seems to be of
value because of the different error structures. |
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