Hydrology and Earth System Sciences
www.hydrol-earth-syst-sci.net
1027-5606
1607-7938
12
6
2008
10.5194/hess-12-1415-2008
http://www.hydrol-earth-syst-sci.net/12/1415/2008/
http://www.hydrol-earth-syst-sci.net/12/1415/2008/hess-12-1415-2008.html
http://www.hydrol-earth-syst-sci.net/12/1415/2008/hess-12-1415-2008.pdf
1415
1424
2008-12-18
Analysis of surface and root-zone soil moisture dynamics with ERS scatterometer and the hydrometeorological model SAFRAN-ISBA-MODCOU at Grand Morin watershed (France)
T. Paris Anguela
Thais.Paris@cetp.ipsl.fr
M. Zribi
S. Hasenauer
F. Habets
C. Loumagne
CETP/CNRS, Vélizy, France
CESBIO, Toulouse, France
Vienna University of Technology, Institute of Photogrammetry and Remote Sensing, Vienna, Austria
UMR-Sisyphe, Université Paris VI, CNRS, Paris, France
UR Hydrosystèmes et Bio-Procédés, Antony, France
Spatial and temporal variations of soil moisture strongly affect flooding,
erosion, solute transport and vegetation productivity. Its characterization,
offers an avenue to improve our understanding of complex land
surface-atmosphere interactions. In this paper, soil moisture dynamics at
soil surface (first centimeters) and root-zone (up to 1.5 m depth) are
investigated at three spatial scales: local scale (field measurements),
8×8 km<sup>2</sup> (hydrological model) and 25×25 km<sup>2</sup> scale (ERS scatterometer)
in a French watershed. This study points out the quality of surface and
root-zone soil moisture data for SIM model and ERS scatterometer for a three
year period. Surface soil moisture is highly variable because is more
influenced by atmospheric conditions (rain, wind and solar radiation), and
presents RMSE up to 0.08 m<sup>3</sup> m<sup>−3</sup>. On the other hand, root-zone
moisture presents lower variability with small RMSE (between 0.02 and
0.06 m<sup>3</sup> m<sup>−3</sup>). These results will contribute to satellite and model
verification of moisture, but also to better application of radar data for
data assimilation in future.
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