Articles | Volume 19, issue 4
https://doi.org/10.5194/hess-19-1887-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-19-1887-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
21 Apr 2015
Research article |
| 21 Apr 2015
Spatial sensitivity analysis of snow cover data in a distributed rainfall-runoff model
Department of Hydraulic Engineering, Warsaw University of Life Sciences, Nowoursynowska 166, 02-787 Warsaw, Poland
Department of Hydrology and Hydraulic Engineering, Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium
J. Nossent
Department of Hydrology and Hydraulic Engineering, Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium
J. Chormański
Department of Hydraulic Engineering, Warsaw University of Life Sciences, Nowoursynowska 166, 02-787 Warsaw, Poland
O. Batelaan
Department of Hydrology and Hydraulic Engineering, Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium
School of the Environment, Flinders University, GP.O. Box 2100, Adelaide SA 5001, Australia
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Cited
15 citations as recorded by crossref.
- Remotely Sensed Land Surface Temperature-Based Water Stress Index for Wetland Habitats W. Ciężkowski et al. https://doi.org/10.3390/rs12040631
- Identifying Dominant Processes in Time and Space: Time‐Varying Spatial Sensitivity Analysis for a Grid‐Based Nitrate Model S. Wu et al. https://doi.org/10.1029/2021WR031149
- Spatial and temporal sensitivity of water footprint assessment in crop production to modelling inputs and parameters Z. Li et al. https://doi.org/10.1016/j.agwat.2022.107805
- Applying U-Net for Estimating AVHRR-Based Snow Cover Fraction (ESA CCI+ Snow) During Cloud Cover and Polar Night in Scandinavia F. Jakob et al. https://doi.org/10.3390/rs18122030
- Combining an R-Based Evolutionary Algorithm and Hydrological Model for Effective Parameter Calibration M. Shin & Y. Choi https://doi.org/10.3390/w10101339
- Evaluating the Potential of Different Evapotranspiration Datasets for Distributed Hydrological Model Calibration X. Guo et al. https://doi.org/10.3390/rs14030629
- A spatial directivity–based sensitivity analysis to farmland quality evaluation in arid areas D. Li et al. https://doi.org/10.1007/s11356-022-20531-4
- Sensitivity of Alpine3D modeled snow cover to modifications in DEM resolution, station coverage and meteorological input quantities S. Schlögl et al. https://doi.org/10.1016/j.envsoft.2016.02.017
- A Framework for Algorithmic Improvement to Mitigate the Effects of Equifinality in the Calibration of High-dimensional Parameters for Hydrological Models X. Tang et al. https://doi.org/10.1007/s11269-023-03667-x
- Thermal and Optical Indices for Wetland Habitats, are They Showing the Same Thing? W. Ciezkowski et al. https://doi.org/10.1109/JSTARS.2020.3008864
- Assessment of the impact of LULC changes on peak discharge and runoff volume in Kebir river catchment Northeastern of Algeria L. Djellit et al. https://doi.org/10.1007/s40808-024-01981-w
- Combining satellite data and appropriate objective functions for improved spatial pattern performance of a distributed hydrologic model M. Demirel et al. https://doi.org/10.5194/hess-22-1299-2018
- High-Resolution Discharge Forecasting for Snowmelt and Rainfall Mixed Events T. Berezowski & A. Chybicki https://doi.org/10.3390/w10010056
- Spatial Pattern Oriented Multicriteria Sensitivity Analysis of a Distributed Hydrologic Model M. Demirel et al. https://doi.org/10.3390/w10091188
- Wetlands in flux: looking for the drivers in a central European case T. Berezowski et al. https://doi.org/10.1007/s11273-018-9613-z
15 citations as recorded by crossref.
- Remotely Sensed Land Surface Temperature-Based Water Stress Index for Wetland Habitats W. Ciężkowski et al. https://doi.org/10.3390/rs12040631
- Identifying Dominant Processes in Time and Space: Time‐Varying Spatial Sensitivity Analysis for a Grid‐Based Nitrate Model S. Wu et al. https://doi.org/10.1029/2021WR031149
- Spatial and temporal sensitivity of water footprint assessment in crop production to modelling inputs and parameters Z. Li et al. https://doi.org/10.1016/j.agwat.2022.107805
- Applying U-Net for Estimating AVHRR-Based Snow Cover Fraction (ESA CCI+ Snow) During Cloud Cover and Polar Night in Scandinavia F. Jakob et al. https://doi.org/10.3390/rs18122030
- Combining an R-Based Evolutionary Algorithm and Hydrological Model for Effective Parameter Calibration M. Shin & Y. Choi https://doi.org/10.3390/w10101339
- Evaluating the Potential of Different Evapotranspiration Datasets for Distributed Hydrological Model Calibration X. Guo et al. https://doi.org/10.3390/rs14030629
- A spatial directivity–based sensitivity analysis to farmland quality evaluation in arid areas D. Li et al. https://doi.org/10.1007/s11356-022-20531-4
- Sensitivity of Alpine3D modeled snow cover to modifications in DEM resolution, station coverage and meteorological input quantities S. Schlögl et al. https://doi.org/10.1016/j.envsoft.2016.02.017
- A Framework for Algorithmic Improvement to Mitigate the Effects of Equifinality in the Calibration of High-dimensional Parameters for Hydrological Models X. Tang et al. https://doi.org/10.1007/s11269-023-03667-x
- Thermal and Optical Indices for Wetland Habitats, are They Showing the Same Thing? W. Ciezkowski et al. https://doi.org/10.1109/JSTARS.2020.3008864
- Assessment of the impact of LULC changes on peak discharge and runoff volume in Kebir river catchment Northeastern of Algeria L. Djellit et al. https://doi.org/10.1007/s40808-024-01981-w
- Combining satellite data and appropriate objective functions for improved spatial pattern performance of a distributed hydrologic model M. Demirel et al. https://doi.org/10.5194/hess-22-1299-2018
- High-Resolution Discharge Forecasting for Snowmelt and Rainfall Mixed Events T. Berezowski & A. Chybicki https://doi.org/10.3390/w10010056
- Spatial Pattern Oriented Multicriteria Sensitivity Analysis of a Distributed Hydrologic Model M. Demirel et al. https://doi.org/10.3390/w10091188
- Wetlands in flux: looking for the drivers in a central European case T. Berezowski et al. https://doi.org/10.1007/s11273-018-9613-z
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