Articles | Volume 25, issue 3
https://doi.org/10.5194/hess-25-1389-2021
© Author(s) 2021. 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-25-1389-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
24 Mar 2021
Research article |
| 24 Mar 2021
| 24 Mar 2021
The value of ASCAT soil moisture and MODIS snow cover data for calibrating a conceptual hydrologic model
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
Andreas Salentinig
Department of Geodesy and Geoinformation, TU Wien, Vienna 1040,
Austria
Isabella Pfeil
Centre for Water Resource Systems, TU Wien, Vienna 1040, Austria
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
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
Martin Kubáň
Department of Land and Water Resources Management, Slovak University of Technology in Bratislava, Bratislava 810 05, Slovakia
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
Mariette Vreugdenhil
Department of Geodesy and Geoinformation, TU Wien, Vienna 1040,
Austria
Wolfgang Wagner
Centre for Water Resource Systems, TU Wien, Vienna 1040, Austria
Department of Geodesy and Geoinformation, TU Wien, Vienna 1040,
Austria
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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- The Great Lakes Runoff Intercomparison Project Phase 4: the Great Lakes (GRIP-GL) J. Mai et al. 10.5194/hess-26-3537-2022
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- SWAT_DA: Sequential Multivariate Data Assimilation‐Oriented Modification of SWAT M. Bayat et al. 10.1029/2022WR032397
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- Isotope data-constrained hydrological model improves soil moisture simulation and runoff source apportionment Y. Nan & F. Tian 10.1016/j.jhydrol.2024.131006
- PatagoniaMet: A multi-source hydrometeorological dataset for Western Patagonia R. Aguayo et al. 10.1038/s41597-023-02828-2
- Evaluating the impact of satellite soil moisture data as an additional component in the calibration of a conceptual hydrological model M. Aleksić et al. 10.2478/johh-2024-0026
- Confluence simulations based on dynamic channel parameters in the grasslands lacking historical measurements M. Li et al. 10.1016/j.jhydrol.2023.130425
- Synergistic Calibration of a Hydrological Model Using Discharge and Remotely Sensed Soil Moisture in the Paraná River Basin A. Fleischmann et al. 10.3390/rs13163256
- Evaluating satellite-derived soil moisture data for improving the internal consistency of process-based ecohydrological modelling D. Duethmann et al. 10.1016/j.jhydrol.2022.128462
- Evaluation of winter snow properties effects on spring soil moisture using satellite images in the Northwest of Iran M. Goodarzi et al. 10.1007/s11600-023-01177-3
- Towards robust seasonal streamflow forecasts in mountainous catchments: impact of calibration metric selection in hydrological modeling D. Araya et al. 10.5194/hess-27-4385-2023
- Enhancing flood event predictions: Multi-objective calibration using gauge and satellite data S. Gegenleithner et al. 10.1016/j.jhydrol.2024.130879
- The Impact of Meteorological Forcing Uncertainty on Hydrological Modeling: A Global Analysis of Cryosphere Basins G. Tang et al. 10.1029/2022WR033767
24 citations as recorded by crossref.
- The value of water isotope data on improving process understanding in a glacierized catchment on the Tibetan Plateau Y. Nan et al. 10.5194/hess-25-3653-2021
- Multi-criteria evaluation for parameter uncertainty assessment and ensemble runoff forecasting in a snow-dominated basin Y. Oğulcan Doğan et al. 10.2478/johh-2023-0003
- The value of satellite soil moisture and snow cover data for the transfer of hydrological model parameters to ungauged sites R. Tong et al. 10.5194/hess-26-1779-2022
- The effects of satellite soil moisture data on the parametrization of topsoil and root zone soil moisture in a conceptual hydrological model M. Kuban et al. 10.2478/johh-2022-0021
- Assimilation of Backscatter Observations into a Hydrological Model: A Case Study in Belgium Using ASCAT Data P. Baguis et al. 10.3390/rs14225740
- Glaciers determine the sensitivity of hydrological processes to perturbed climate in a large mountainous basin on the Tibetan Plateau Y. Nan & F. Tian 10.5194/hess-28-669-2024
- Functional evaluation of different soil hydraulic parametrizations in hydrological simulations reveals different model efficiency for soil moisture and water budget Z. Kozma et al. 10.2478/johh-2024-0013
- The Great Lakes Runoff Intercomparison Project Phase 4: the Great Lakes (GRIP-GL) J. Mai et al. 10.5194/hess-26-3537-2022
- Incorporating Advanced Scatterometer Surface and Root Zone Soil Moisture Products into the Calibration of a Conceptual Semi-Distributed Hydrological Model M. Kubáň et al. 10.3390/w13233366
- SWAT_DA: Sequential Multivariate Data Assimilation‐Oriented Modification of SWAT M. Bayat et al. 10.1029/2022WR032397
- Climatological Drought Monitoring in Switzerland Using EUMETSAT SAF Satellite Data A. Rassl et al. 10.3390/rs14235961
- Development and parameter estimation of snowmelt models using spatial snow-cover observations from MODIS D. Gyawali & A. Bárdossy 10.5194/hess-26-3055-2022
- Hydrological digital twin model of a large anthropized italian alpine catchment: The Adige river basin M. Morlot et al. 10.1016/j.jhydrol.2023.130587
- Assessment of H SAF satellite snow products in hydrological applications over the Upper Euphrates Basin A. Şensoy et al. 10.1007/s00704-022-04292-1
- Isotope data-constrained hydrological model improves soil moisture simulation and runoff source apportionment Y. Nan & F. Tian 10.1016/j.jhydrol.2024.131006
- PatagoniaMet: A multi-source hydrometeorological dataset for Western Patagonia R. Aguayo et al. 10.1038/s41597-023-02828-2
- Evaluating the impact of satellite soil moisture data as an additional component in the calibration of a conceptual hydrological model M. Aleksić et al. 10.2478/johh-2024-0026
- Confluence simulations based on dynamic channel parameters in the grasslands lacking historical measurements M. Li et al. 10.1016/j.jhydrol.2023.130425
- Synergistic Calibration of a Hydrological Model Using Discharge and Remotely Sensed Soil Moisture in the Paraná River Basin A. Fleischmann et al. 10.3390/rs13163256
- Evaluating satellite-derived soil moisture data for improving the internal consistency of process-based ecohydrological modelling D. Duethmann et al. 10.1016/j.jhydrol.2022.128462
- Evaluation of winter snow properties effects on spring soil moisture using satellite images in the Northwest of Iran M. Goodarzi et al. 10.1007/s11600-023-01177-3
- Towards robust seasonal streamflow forecasts in mountainous catchments: impact of calibration metric selection in hydrological modeling D. Araya et al. 10.5194/hess-27-4385-2023
- Enhancing flood event predictions: Multi-objective calibration using gauge and satellite data S. Gegenleithner et al. 10.1016/j.jhydrol.2024.130879
- The Impact of Meteorological Forcing Uncertainty on Hydrological Modeling: A Global Analysis of Cryosphere Basins G. Tang et al. 10.1029/2022WR033767
Latest update: 11 Dec 2024
Short summary
We used a new and experimental version of the Advanced Scatterometer (ASCAT) soil water index data set and Moderate Resolution Imaging Spectroradiometer (MODIS) C6 snow cover products for multiple objective calibrations of the TUWmodel in 213 catchments of Austria. Combined calibration to runoff, satellite soil moisture, and snow cover improves runoff (40 % catchments), soil moisture (80 % catchments), and snow (~ 100 % catchments) simulation compared to traditional calibration to runoff only.
We used a new and experimental version of the Advanced Scatterometer (ASCAT) soil water index...
