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| Titel |
DAHITI – an innovative approach for estimating water level time series over inland waters using multi-mission satellite altimetry |
| VerfasserIn |
C. Schwatke, D. Dettmering, W. Bosch, F. Seitz |
| 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 ; 19, no. 10 ; Nr. 19, no. 10 (2015-10-28), S.4345-4364 |
| Datensatznummer |
250120837
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| Publikation (Nr.) |
 copernicus.org/hess-19-4345-2015.pdf |
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| Zusammenfassung |
| Satellite altimetry has been designed for sea level monitoring over open
ocean areas. However, for some years, this technology has also been used to
retrieve water levels from reservoirs, wetlands and in general any inland
water body, although the radar altimetry technique has been especially
applied to rivers and lakes. In this paper, a new approach for the estimation
of inland water level time series is described. It is used for the
computation of time series of rivers and lakes available through the web
service "Database for Hydrological Time Series over Inland Waters"
(DAHITI). The new method is based on an extended outlier rejection and a
Kalman filter approach incorporating cross-calibrated multi-mission altimeter
data from Envisat, ERS-2, Jason-1, Jason-2, TOPEX/Poseidon, and SARAL/AltiKa,
including their uncertainties. The paper presents water level time series for
a variety of lakes and rivers in North and South America featuring different
characteristics such as shape, lake extent, river width, and data coverage. A
comprehensive validation is performed by comparisons with in situ gauge data
and results from external inland altimeter databases. The new approach yields
rms differences with respect to in situ data between 4 and 36 cm for lakes
and 8 and 114 cm for rivers. For most study cases, more
accurate height information than from other available altimeter databases
can be achieved. |
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