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Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
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Volume 12, issue 6
Hydrol. Earth Syst. Sci., 12, 1339–1351, 2008
https://doi.org/10.5194/hess-12-1339-2008
© Author(s) 2008. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue: Remote sensing in hydrological sciences

Hydrol. Earth Syst. Sci., 12, 1339–1351, 2008
https://doi.org/10.5194/hess-12-1339-2008
© Author(s) 2008. This work is distributed under
the Creative Commons Attribution 3.0 License.

  12 Dec 2008

12 Dec 2008

On the comparison between the LISFLOOD modelled and the ERS/SCAT derived soil moisture estimates

G. Laguardia and S. Niemeyer G. Laguardia and S. Niemeyer
  • European Commission – DG Joint Research Centre, Institute for Environment and Sustainability, Italy

Abstract. In order to evaluate the reliability of the soil moisture product obtained by means of the LISFLOOD hydrological model (De Roo et al., 2000), we compare it to soil moisture estimates derived from ERS scatterometer data (Wagner et al., 1999b).

Once evaluated the effect of scale mismatch, we calculate the root mean square error and the correlation between the two soil moisture time series on a pixel basis and we assess the fraction of variance that can be explained by a set of input parameter fields that vary from elevation and soil depth to rainfall statistics and missing or snow covered ERS images.

The two datasets show good agreement over large regions, with 90% of the area having a positive correlation coefficient and 66% having a root mean square error minor than 0.5 pF units. Major inconsistencies are located in mountainous regions such as the Alps or Scandinavia where both the methodologies suffer from insufficiently resolved land surface processes at the given spatial resolution, as well as from limited availability of satellite data on the one hand and the uncertainties in meteorological data retrieval on the other hand.

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