Assimilation of an L-Band Microwave Soil Moisture Proxy to Compensate for Uncertainties in Precipitation Data

@article{Loew2009AssimilationOA,
  title={Assimilation of an L-Band Microwave Soil Moisture Proxy to Compensate for Uncertainties in Precipitation Data},
  author={Alexander Loew and Mike Schwank and Florian Schlenz},
  journal={IEEE Transactions on Geoscience and Remote Sensing},
  year={2009},
  volume={47},
  pages={2606-2616}
}
The accuracy of hydrological model simulations is dependent on the reliability of model input data like, for example, meteorological information or land cover and soil information. Uncertainties of simulations of soil water fluxes are hereby directly related to the accuracy of available precipitation data. As precipitation is characterized by small temporal and spatial correlation lengths, the uncertainties in precipitation data increase with decreasing density of available precipitation gauges… CONTINUE READING

References

Publications referenced by this paper.
Showing 1-10 of 39 references

SMOSREX: A long term field campaign experiment for soil moisture and land surface processes remote sensing

  • P. de Rosnay, J. Calvet, +18 authors P. Waldteufel
  • Remote Sens. Environ., vol. 102, no. 3/4, pp. 377…
  • 2006
Highly Influential
3 Excerpts

ELBARA, the ETH L-band radiometer for soil moisture research

  • C. Mätzler, D. Weber, M. Wüthrich, K. Schneeberger, C. Stamm, H. Flühler
  • Proc. IGARSS, Toulouse, France, 2003, vol. 5, pp…
  • 2003
Highly Influential
3 Excerpts

The European heat wave 2003: Early indicators from multisensoral microwave remote sensing

  • A. Loew, T. Holmes, R. de Jeu
  • J. Geophys. Res.,
  • 2009
1 Excerpt

Comparison of the estimated water and energy budgets of a large winter wheat field during AgriSar 2006 by multiple sensors and models

  • V.R.N. Pauwels, W. Timmermans, A. Loew
  • J. Hydrol., vol. 349, no. 3/4, pp. 425–440, Feb…
  • 2008

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