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| Titel |
From near-surface to root-zone soil moisture using an exponential filter: an assessment of the method based on in-situ observations and model simulations |
| VerfasserIn |
C. Albergel, C. Rüdiger, T. Pellarin, J.-C. Calvet, N. Fritz, F. Froissard, D. Suquia, A. Petitpa, B. Piguet, E. Martin |
| 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 ; 12, no. 6 ; Nr. 12, no. 6 (2008-12-10), S.1323-1337 |
| Datensatznummer |
250010960
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| Publikation (Nr.) |
 copernicus.org/hess-12-1323-2008.pdf |
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| Zusammenfassung |
| A long term data acquisition effort of profile soil moisture is under way in
southwestern France at 13 automated weather stations. This ground network was
developed in order to validate remote sensing and model soil moisture
estimates. In this paper, both those in situ observations and a synthetic
data set covering continental France are used to test a simple method to
retrieve root zone soil moisture from a time series of surface soil moisture
information. A recursive exponential filter equation using a time constant,
T, is used to compute a soil water index. The Nash and Sutcliff coefficient
is used as a criterion to optimise the T parameter for each ground station
and for each model pixel of the synthetic data set. In general, the soil
water indices derived from the surface soil moisture observations and
simulations agree well with the reference root-zone soil moisture. Overall,
the results show the potential of the exponential filter equation and of its
recursive formulation to derive a soil water index from surface soil moisture
estimates. This paper further investigates the correlation of the time scale
parameter T with soil properties and climate conditions. While no
significant relationship could be determined between T and the main soil
properties (clay and sand fractions, bulk density and organic matter
content), the modelled spatial variability and the observed inter-annual
variability of T suggest that a weak climate effect may exist. |
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