Articles | Volume 26, issue 7
https://doi.org/10.5194/hess-26-1779-2022
© Author(s) 2022. 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-26-1779-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
07 Apr 2022
Research article |
| 07 Apr 2022
| 07 Apr 2022
The value of satellite soil moisture and snow cover data for the transfer of hydrological model parameters to ungauged sites
Centre for Water Resource Systems, TU Wien, Vienna 1040, Austria
Institute of Hydraulic Engineering and Water Resources Management, TU Wien, Vienna 1040, Austria
Juraj Parajka
Centre for Water Resource Systems, TU Wien, Vienna 1040, Austria
Institute of Hydraulic Engineering and Water Resources Management, TU Wien, Vienna 1040, Austria
Borbála Széles
Centre for Water Resource Systems, TU Wien, Vienna 1040, Austria
Institute of Hydraulic Engineering and Water Resources Management, TU Wien, Vienna 1040, Austria
Isabella Greimeister-Pfeil
Centre for Water Resource Systems, TU Wien, Vienna 1040, Austria
Department of Geodesy and Geoinformation, TU Wien, Vienna 1040, Austria
Mariette Vreugdenhil
Department of Geodesy and Geoinformation, TU Wien, Vienna 1040, Austria
Jürgen Komma
Institute of Hydraulic Engineering and Water Resources Management, TU Wien, Vienna 1040, Austria
Peter Valent
Institute of Hydraulic Engineering and Water Resources Management, TU Wien, Vienna 1040, Austria
Department of Land and Water Resources Management, Slovak University of Technology in Bratislava, Bratislava 810 05, Slovakia
Günter Blöschl
Centre for Water Resource Systems, TU Wien, Vienna 1040, Austria
Institute of Hydraulic Engineering and Water Resources Management, TU Wien, Vienna 1040, Austria
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David Lun, Alberto Viglione, Miriam Bertola, Jürgen Komma, Juraj Parajka, Peter Valent, and Günter Blöschl
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This study evaluates how the sequential assimilation of flood extent derived from synthetic aperture radar data can help improve flood forecasting. In particular, we carried out twin experiments based on a synthetically generated dataset with controlled uncertainty. Our empirical results demonstrate the efficiency of the proposed data assimilation framework, as forecasting errors are substantially reduced as a result of the assimilation.
Paul C. Astagneau, Guillaume Thirel, Olivier Delaigue, Joseph H. A. Guillaume, Juraj Parajka, Claudia C. Brauer, Alberto Viglione, Wouter Buytaert, and Keith J. Beven
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Lovrenc Pavlin, Borbála Széles, Peter Strauss, Alfred Paul Blaschke, and Günter Blöschl
Hydrol. Earth Syst. Sci., 25, 2327–2352, https://doi.org/10.5194/hess-25-2327-2021, https://doi.org/10.5194/hess-25-2327-2021, 2021
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We compared the dynamics of streamflow, groundwater and soil moisture to investigate how different parts of an agricultural catchment in Lower Austria are connected. Groundwater is best connected around the stream and worse uphill, where groundwater is deeper. Soil moisture connectivity increases with increasing catchment wetness but is not influenced by spatial position in the catchment. Groundwater is more connected to the stream on the seasonal scale compared to the event scale.
Rui Tong, Juraj Parajka, Andreas Salentinig, Isabella Pfeil, Jürgen Komma, Borbála Széles, Martin Kubáň, Peter Valent, Mariette Vreugdenhil, Wolfgang Wagner, and Günter Blöschl
Hydrol. Earth Syst. Sci., 25, 1389–1410, https://doi.org/10.5194/hess-25-1389-2021, https://doi.org/10.5194/hess-25-1389-2021, 2021
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Miriam Bertola, Alberto Viglione, Sergiy Vorogushyn, David Lun, Bruno Merz, and Günter Blöschl
Hydrol. Earth Syst. Sci., 25, 1347–1364, https://doi.org/10.5194/hess-25-1347-2021, https://doi.org/10.5194/hess-25-1347-2021, 2021
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We estimate the contribution of extreme precipitation, antecedent soil moisture and snowmelt to changes in small and large floods across Europe.
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Mattia Neri, Juraj Parajka, and Elena Toth
Hydrol. Earth Syst. Sci., 24, 5149–5171, https://doi.org/10.5194/hess-24-5149-2020, https://doi.org/10.5194/hess-24-5149-2020, 2020
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Short summary
The role and impact of using additional data (other than runoff) for the prediction of daily hydrographs in ungauged basins are not well understood. In this study, we assessed the model performance in terms of runoff, soil moisture, and snow cover predictions with the existing regionalization approaches. Results show that the best transfer methods are the similarity and the kriging approaches. The performance of the transfer methods differs between lowland and alpine catchments.
The role and impact of using additional data (other than runoff) for the prediction of daily...
