Articles | Volume 23, issue 3
https://doi.org/10.5194/hess-23-1801-2019
© Author(s) 2019. 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-23-1801-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
02 Apr 2019
Research article |
| 02 Apr 2019
| 02 Apr 2019
Assessing the impact of resolution and soil datasets on flash-flood modelling
Alexane Lovat
CORRESPONDING AUTHOR
CNRM, Université de Toulouse, Météo-France, CNRS, Toulouse, France
Béatrice Vincendon
DCSC, Météo-France, Toulouse, France
Véronique Ducrocq
CNRM, Université de Toulouse, Météo-France, CNRS, Toulouse, France
Viewed
Total article views: 4,569 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 31 Jul 2018)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,865 | 1,487 | 217 | 4,569 | 226 | 274 |
- HTML: 2,865
- PDF: 1,487
- XML: 217
- Total: 4,569
- BibTeX: 226
- EndNote: 274
Total article views: 3,329 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 02 Apr 2019)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,023 | 1,108 | 198 | 3,329 | 194 | 243 |
- HTML: 2,023
- PDF: 1,108
- XML: 198
- Total: 3,329
- BibTeX: 194
- EndNote: 243
Total article views: 1,240 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 31 Jul 2018)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 842 | 379 | 19 | 1,240 | 32 | 31 |
- HTML: 842
- PDF: 379
- XML: 19
- Total: 1,240
- BibTeX: 32
- EndNote: 31
Viewed (geographical distribution)
Total article views: 4,569 (including HTML, PDF, and XML)
Thereof 4,250 with geography defined
and 319 with unknown origin.
Total article views: 3,329 (including HTML, PDF, and XML)
Thereof 3,125 with geography defined
and 204 with unknown origin.
Total article views: 1,240 (including HTML, PDF, and XML)
Thereof 1,125 with geography defined
and 115 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
20 citations as recorded by crossref.
- Quantifying regional-scale flash flood susceptibility using watershed geomorphometry-based approach along the high range, west of Chiang Mai Basin, Northern Thailand P. Manopkawee et al. https://doi.org/10.1016/j.nhres.2025.07.001
- Large-scale flash flood warning in China using deep learning G. Zhao et al. https://doi.org/10.1016/j.jhydrol.2021.127222
- A multi-sourced assessment of the spatiotemporal dynamics of soil moisture in the MARINE flash flood model J. Eeckman et al. https://doi.org/10.5194/hess-25-1425-2021
- Satellite-based soil texture mapping using GLOBAL–LOCAL spectral libraries for flood hazard assessment in arid regions A. Alsaleh et al. https://doi.org/10.1016/j.rsase.2026.101997
- Hydrometeorological evaluation of two nowcasting systems for Mediterranean heavy precipitation events with operational considerations A. Lovat et al. https://doi.org/10.5194/hess-26-2697-2022
- High-resolution land surface modelling over Africa: the role of uncertain soil properties in combination with forcing temporal resolution B. Oloruntoba et al. https://doi.org/10.5194/hess-29-1659-2025
- The impact of spatial resolution on hourly flood modeling in large watersheds L. Ye et al. https://doi.org/10.5194/hess-30-2995-2026
- A New Hybrid Firefly–PSO Optimized Random Subspace Tree Intelligence for Torrential Rainfall-Induced Flash Flood Susceptible Mapping V. Nhu et al. https://doi.org/10.3390/rs12172688
- Connecting hydrological modelling and forecasting from global to local scales: Perspectives from an international joint virtual workshop A. Dasgupta et al. https://doi.org/10.1111/jfr3.12880
- Flood susceptibility modeling using geo-morphometric ranking approach in Jhelum River basin, Pakistan M. Sohail & S. Mahmood https://doi.org/10.1016/j.nhres.2023.11.004
- Learning-Based Methods for Detection and Monitoring of Shallow Flood-Affected Areas: Impact of Shallow-Flood Spreading on Vegetation Density M. Kazemi Garajeh et al. https://doi.org/10.1080/07038992.2022.2072277
- A novel hybrid quantum-PSO and credal decision tree ensemble for tropical cyclone induced flash flood susceptibility mapping with geospatial data P. Ngo et al. https://doi.org/10.1016/j.jhydrol.2020.125682
- A new hybrid equilibrium optimized SysFor based geospatial data mining for tropical storm-induced flash flood susceptible mapping P. Ngo et al. https://doi.org/10.1016/j.jenvman.2020.111858
- Paleo-landslides on the meridional border of the Larzac Plateau (France): recognition and predisposing/triggering factors K. Elkharrat et al. https://doi.org/10.1007/s10346-024-02422-6
- Ensemble flash flood predictions using a high-resolution nationwide distributed rainfall-runoff model: case study of the heavy rain event of July 2018 and Typhoon Hagibis in 2019 T. Sayama et al. https://doi.org/10.1186/s40645-020-00391-7
- Stochastic modeling of gridded short-term rainstorms S. Wu et al. https://doi.org/10.2166/nh.2021.002
- Assessing the factors governing the ability to predict late-spring flooding in cold-region mountain basins V. Vionnet et al. https://doi.org/10.5194/hess-24-2141-2020
- Overview towards improved understanding of the mechanisms leading to heavy precipitation in the western Mediterranean: lessons learned from HyMeX S. Khodayar et al. https://doi.org/10.5194/acp-21-17051-2021
- A novel hybrid of meta-optimization approach for flash flood-susceptibility assessment in a monsoon-dominated watershed, Eastern India D. Ruidas et al. https://doi.org/10.1007/s12665-022-10269-0
- The impact of GPS and high-resolution radiosonde nudging on the simulation of heavy precipitation during HyMeX IOP6 A. Caldas-Alvarez et al. https://doi.org/10.5194/wcd-2-561-2021
20 citations as recorded by crossref.
- Quantifying regional-scale flash flood susceptibility using watershed geomorphometry-based approach along the high range, west of Chiang Mai Basin, Northern Thailand P. Manopkawee et al. https://doi.org/10.1016/j.nhres.2025.07.001
- Large-scale flash flood warning in China using deep learning G. Zhao et al. https://doi.org/10.1016/j.jhydrol.2021.127222
- A multi-sourced assessment of the spatiotemporal dynamics of soil moisture in the MARINE flash flood model J. Eeckman et al. https://doi.org/10.5194/hess-25-1425-2021
- Satellite-based soil texture mapping using GLOBAL–LOCAL spectral libraries for flood hazard assessment in arid regions A. Alsaleh et al. https://doi.org/10.1016/j.rsase.2026.101997
- Hydrometeorological evaluation of two nowcasting systems for Mediterranean heavy precipitation events with operational considerations A. Lovat et al. https://doi.org/10.5194/hess-26-2697-2022
- High-resolution land surface modelling over Africa: the role of uncertain soil properties in combination with forcing temporal resolution B. Oloruntoba et al. https://doi.org/10.5194/hess-29-1659-2025
- The impact of spatial resolution on hourly flood modeling in large watersheds L. Ye et al. https://doi.org/10.5194/hess-30-2995-2026
- A New Hybrid Firefly–PSO Optimized Random Subspace Tree Intelligence for Torrential Rainfall-Induced Flash Flood Susceptible Mapping V. Nhu et al. https://doi.org/10.3390/rs12172688
- Connecting hydrological modelling and forecasting from global to local scales: Perspectives from an international joint virtual workshop A. Dasgupta et al. https://doi.org/10.1111/jfr3.12880
- Flood susceptibility modeling using geo-morphometric ranking approach in Jhelum River basin, Pakistan M. Sohail & S. Mahmood https://doi.org/10.1016/j.nhres.2023.11.004
- Learning-Based Methods for Detection and Monitoring of Shallow Flood-Affected Areas: Impact of Shallow-Flood Spreading on Vegetation Density M. Kazemi Garajeh et al. https://doi.org/10.1080/07038992.2022.2072277
- A novel hybrid quantum-PSO and credal decision tree ensemble for tropical cyclone induced flash flood susceptibility mapping with geospatial data P. Ngo et al. https://doi.org/10.1016/j.jhydrol.2020.125682
- A new hybrid equilibrium optimized SysFor based geospatial data mining for tropical storm-induced flash flood susceptible mapping P. Ngo et al. https://doi.org/10.1016/j.jenvman.2020.111858
- Paleo-landslides on the meridional border of the Larzac Plateau (France): recognition and predisposing/triggering factors K. Elkharrat et al. https://doi.org/10.1007/s10346-024-02422-6
- Ensemble flash flood predictions using a high-resolution nationwide distributed rainfall-runoff model: case study of the heavy rain event of July 2018 and Typhoon Hagibis in 2019 T. Sayama et al. https://doi.org/10.1186/s40645-020-00391-7
- Stochastic modeling of gridded short-term rainstorms S. Wu et al. https://doi.org/10.2166/nh.2021.002
- Assessing the factors governing the ability to predict late-spring flooding in cold-region mountain basins V. Vionnet et al. https://doi.org/10.5194/hess-24-2141-2020
- Overview towards improved understanding of the mechanisms leading to heavy precipitation in the western Mediterranean: lessons learned from HyMeX S. Khodayar et al. https://doi.org/10.5194/acp-21-17051-2021
- A novel hybrid of meta-optimization approach for flash flood-susceptibility assessment in a monsoon-dominated watershed, Eastern India D. Ruidas et al. https://doi.org/10.1007/s12665-022-10269-0
- The impact of GPS and high-resolution radiosonde nudging on the simulation of heavy precipitation during HyMeX IOP6 A. Caldas-Alvarez et al. https://doi.org/10.5194/wcd-2-561-2021
Saved (final revised paper)
Latest update: 09 Nov 2026
Short summary
This work aims to estimate the extent to which the terrain descriptors and the spatial resolution of the hydrological model influence flash-flood modelling at the local and basin scale. The skill of the hydrological simulations is evaluated with conventional data (such as discharge measurements) and impact data (post-event surveys and high-water marks). The results reveal that the spatial resolution has the largest impact on the hydrological simulations, larger than soil texture and land cover.
This work aims to estimate the extent to which the terrain descriptors and the spatial...
Altmetrics
Final-revised paper
Preprint