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| Titel |
Combining satellite radar altimetry, SAR surface soil moisture and GRACE total storage changes for hydrological model calibration in a large poorly gauged catchment |
| VerfasserIn |
C. Milzow, P. E. Krogh, P. Bauer-Gottwein |
| 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 ; 15, no. 6 ; Nr. 15, no. 6 (2011-06-06), S.1729-1743 |
| Datensatznummer |
250012847
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| Publikation (Nr.) |
 copernicus.org/hess-15-1729-2011.pdf |
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| Zusammenfassung |
| The availability of data is a major challenge for hydrological
modelling in large parts of the world. Remote sensing data can
be exploited to improve models of ungauged or poorly gauged
catchments. In this study we combine three datasets for
calibration of a rainfall-runoff model of the
poorly gauged Okavango catchment in Southern Africa: (i) surface
soil moisture (SSM) estimates derived from radar measurements
onboard the Envisat satellite; (ii) radar altimetry
measurements by Envisat providing river stages in the
tributaries of the Okavango catchment, down to a minimum river width
of about one hundred meters; and (iii) temporal changes of the
Earth's gravity field recorded by the Gravity Recovery and
Climate Experiment (GRACE) caused by total water storage
changes in the catchment. The SSM data are shown to be helpful in
identifying periods with over-respectively underestimation of the precipitation input.
The accuracy of the
radar altimetry data is validated on gauged subbasins of the
catchment and altimetry data of an ungauged subbasin is used
for model calibration. The radar altimetry data are important
to condition model parameters related to channel morphology
such as Manning's roughness. GRACE data are used to validate
the model and to condition model parameters related to various
storage compartments in the hydrological model (e.g. soil,
groundwater, bank storage etc.). As precipitation input the
FEWS-Net RFE, TRMM 3B42 and ECMWF ERA-Interim datasets are
considered and compared. |
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