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Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
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Volume 13, issue 2
Hydrol. Earth Syst. Sci., 13, 115–124, 2009
https://doi.org/10.5194/hess-13-115-2009
© Author(s) 2009. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue: Remote sensing in hydrological sciences

Hydrol. Earth Syst. Sci., 13, 115–124, 2009
https://doi.org/10.5194/hess-13-115-2009
© Author(s) 2009. This work is distributed under
the Creative Commons Attribution 3.0 License.

  04 Feb 2009

04 Feb 2009

An evaluation of ASCAT surface soil moisture products with in-situ observations in Southwestern France

C. Albergel1, C. Rüdiger1,*, D. Carrer1, J.-C. Calvet1, N. Fritz1, V. Naeimi2, Z. Bartalis2, and S. Hasenauer2 C. Albergel et al.
  • 1CNRM/GAME (Météo-France, CNRS), Toulouse, France
  • 2Institute of Photogrammetry and Remote Sensing, University of Vienna, Vienna, Austria
  • *now at: Department of Civil and Environmental Engineering, The University of Melbourne, Melbourne, Australia

Abstract. A long term data acquisition effort of profile soil moisture is currently underway at 13 automatic weather stations located in Southwestern France. In this study, the soil moisture measured in-situ at 5 cm is used to evaluate the normalised surface soil moisture (SSM) estimates derived from coarse-resolution (25 km) active microwave data of the ASCAT scatterometer instrument (onboard METOP), issued by EUMETSAT for a period of 6 months (April–September) in 2007. The seasonal trend is removed from the satellite and in-situ time series by considering scaled anomalies. One station (Mouthoumet) of the ground network, located in a mountainous area, is removed from the analysis as very few ASCAT SSM estimates are available. No correlation is found for the station of Narbonne, which is close to the Mediterranean sea. On the other hand, nine stations present significant correlation levels. For two stations, a significant correlation is obtained when considering only part of the ASCAT data. The soil moisture measured in-situ at those stations, at 30 cm, is used to estimate the characteristic time length (T) of an exponential filter applied to the ASCAT product. The best correlation between a soil water index derived from ASCAT and the in-situ soil moisture observations at 30 cm is obtained with a T-value of 14 days.

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