Articles | Volume 27, issue 7
https://doi.org/10.5194/hess-27-1431-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-27-1431-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
03 Apr 2023
Research article |
| 03 Apr 2023
| 03 Apr 2023
Estimating vadose zone water fluxes from soil water monitoring data: a comprehensive field study in Austria
Marleen Schübl
CORRESPONDING AUTHOR
Department of Water, Atmosphere and Environment, Institute of Soil Physics and Rural Water Management, University of Natural Resources and Life Sciences, Muthgasse 18, 1190 Vienna, Austria
Giuseppe Brunetti
Department of Water, Atmosphere and Environment, Institute of Soil Physics and Rural Water Management, University of Natural Resources and Life Sciences, Muthgasse 18, 1190 Vienna, Austria
Gabriele Fuchs
Section I – Water Management, Division I/3 – Water Resources, Federal Ministry of Agriculture, Forestry, Regions and Water Management, Marxergasse 2, 1030 Vienna, Austria
Christine Stumpp
Department of Water, Atmosphere and Environment, Institute of Soil Physics and Rural Water Management, University of Natural Resources and Life Sciences, Muthgasse 18, 1190 Vienna, Austria
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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.
Estimating groundwater recharge through the unsaturated zone is a difficult task that is...
