Articles | Volume 27, issue 7
https://doi.org/10.5194/hess-27-1431-2023
https://doi.org/10.5194/hess-27-1431-2023
Research article
 | 
03 Apr 2023
Research article |  | 03 Apr 2023

Estimating vadose zone water fluxes from soil water monitoring data: a comprehensive field study in Austria

Marleen Schübl, Giuseppe Brunetti, Gabriele Fuchs, and Christine Stumpp

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Cited articles

Allen, R. G., Pereira, L. S., Raes, D., Smith, M., and Others: FAO Irrigation and drainage paper No. 56, Food and Agriculture Organization of the United Nations, Rome, http://www.climasouth.eu/sites/default/files/FAO 56.pdf (last access: 25 March 2023), 1998. a, b, c
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Barkle, G., Wöhling, T., Stenger, R., Mertens, J., Moorhead, B., Wall, A., and Clague, J.: Automated Equilibrium Tension Lysimeters for Measuring Water Fluxes through a Layered, Volcanic Vadose Profile in New Zealand, Vadose Zone J., 10, 747–759, https://doi.org/10.2136/vzj2010.0091, 2011. a
Baroni, G., Facchi, A., Gandolfi, C., Ortuani, B., Horeschi, D., and Van Dam, J. C.: Uncertainty in the determination of soil hydraulic parameters and its influence on the performance of two hydrological models of different complexity, Hydrol. Earth Syst. Sci., 14, 251–270, https://doi.org/10.5194/hess-14-251-2010, 2010. a
Barron, O. V., Crosbie, R. S., Dawes, W. R., Charles, S. P., Pickett, T., and Donn, M. J.: Climatic controls on diffuse groundwater recharge across Australia, Hydrol. Earth Syst. Sci., 16, 4557–4570, https://doi.org/10.5194/hess-16-4557-2012, 2012. a, b
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Short summary
Estimating groundwater recharge through the unsaturated zone is a difficult task that is fundamentally associated with uncertainties. One of the few methods available is inverse modeling based on soil water measurements. Here, we used a nested sampling algorithm within a Bayesian probabilistic framework to assess model uncertainties at 14 sites in Austria. Further, we analyzed simulated recharge rates to identify factors influencing groundwater recharge rates and their temporal variability.