Articles | Volume 21, issue 9
Hydrol. Earth Syst. Sci., 21, 4301–4322, 2017
https://doi.org/10.5194/hess-21-4301-2017
Hydrol. Earth Syst. Sci., 21, 4301–4322, 2017
https://doi.org/10.5194/hess-21-4301-2017

Research article 01 Sep 2017

Research article | 01 Sep 2017

Effect of unrepresented model errors on estimated soil hydraulic material properties

Stefan Jaumann and Kurt Roth

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Cited articles

Abbasi, F., Feyen, J., and Van Genuchten, M. T.: Two-dimensional simulation of water flow and solute transport below furrows: model calibration and validation, J. Hydrol., 290, 63–79, https://doi.org/10.1016/j.jhydrol.2003.11.028, 2004.
Abbaspour, K., Kasteel, R., and Schulin, R.: Inverse parameter estimation in a layered unsaturated field soil, Soil Sci., 165, 109–123, 2000.
Antz, B.: Entwicklung und Modellierung der Hydraulik eines Testfeldes für geophysikalische Messungen, Diploma Thesis, Heidelberg University, 2010.
Bauser, H. H., Jaumann, S., Berg, D., and Roth, K.: EnKF with closed-eye period – towards a consistent aggregation of information in soil hydrology, Hydrol. Earth Syst. Sci., 20, 4999–5014, https://doi.org/10.5194/hess-20-4999-2016, 2016.
Birchak, J. R., Gardner, C. G., Hipp, J. E., and Victor, J. M.: High dielectric constant microwave probes for sensing soil moisture, Proceedings of the IEEE, 62, 93–98, https://doi.org/10.1109/PROC.1974.9388, 1974.
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Short summary
We investigate the quantitative effect of neglected sensor position, small-scale heterogeneity, and lateral flow on soil hydraulic material properties. Thus, we analyze a fluctuating water table experiment in a 2-D architecture (ASSESS) with increasingly complex studies based on time domain reflectometry and hydraulic potential data. We found that 1-D studies may yield biased parameters and that estimating sensor positions as well as small-scale heterogeneity improves the model significantly.