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| Titel |
Cross-evaluation of modelled and remotely sensed surface soil moisture with in situ data in southwestern France |
| VerfasserIn |
C. Albergel, J.-C. Calvet, P. Rosnay, G. Balsamo, W. Wagner, S. Hasenauer, V. Naeimi, E. Martin, E. Bazile, F. Bouyssel, J.-F. Mahfouf |
| 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 ; 14, no. 11 ; Nr. 14, no. 11 (2010-11-03), S.2177-2191 |
| Datensatznummer |
250012476
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| Publikation (Nr.) |
 copernicus.org/hess-14-2177-2010.pdf |
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| Zusammenfassung |
| The SMOSMANIA soil moisture network in Southwestern France is used to
evaluate modelled and remotely sensed soil moisture products. The surface
soil moisture (SSM) measured in situ at 5 cm permits to evaluate SSM from
the SIM operational hydrometeorological model of Météo-France and to
perform a cross-evaluation of the normalised SSM estimates derived from
coarse-resolution (25 km) active microwave observations from the ASCAT
scatterometer instrument (C-band, onboard METOP), issued by EUMETSAT and
resampled to the Discrete Global Grid (DGG, 12.5 km gridspacing) by TU-Wien
(Vienna University of Technology) over a two year period (2007–2008). A
downscaled ASCAT product at one kilometre scale is evaluated as well,
together with operational soil moisture products of two meteorological
services, namely the ALADIN numerical weather prediction model (NWP) and the
Integrated Forecasting System (IFS) analysis of Météo-France and
ECMWF, respectively. In addition to the operational SSM analysis of ECMWF, a
second analysis using a simplified extended Kalman filter and assimilating
the ASCAT SSM estimates is tested. The ECMWF SSM estimates correlate better
with the in situ observations than the Météo-France products. This
may be due to the higher ability of the multi-layer land surface model used
at ECMWF to represent the soil moisture profile. However, the SSM derived
from SIM corresponds to a thin soil surface layer and presents good
correlations with ASCAT SSM estimates for the very first centimetres of soil.
At ECMWF, the use of a new data assimilation technique, which is able to use
the ASCAT SSM, improves the SSM and the root-zone soil moisture analyses. |
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