Articles | Volume 26, issue 14
https://doi.org/10.5194/hess-26-3921-2022
© 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-26-3921-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
29 Jul 2022
Research article |
| 29 Jul 2022
High-resolution satellite products improve hydrological modeling in northern Italy
Lorenzo Alfieri
CORRESPONDING AUTHOR
CIMA Research Foundation, University Campus of Savona, Savona, 17100, Italy
Francesco Avanzi
CIMA Research Foundation, University Campus of Savona, Savona, 17100, Italy
Fabio Delogu
CIMA Research Foundation, University Campus of Savona, Savona, 17100, Italy
Simone Gabellani
CIMA Research Foundation, University Campus of Savona, Savona, 17100, Italy
Giulia Bruno
CIMA Research Foundation, University Campus of Savona, Savona, 17100, Italy
Lorenzo Campo
CIMA Research Foundation, University Campus of Savona, Savona, 17100, Italy
Andrea Libertino
CIMA Research Foundation, University Campus of Savona, Savona, 17100, Italy
Christian Massari
National Research Council, Research Institute for Geo-Hydrological
Protection, Perugia, 06128, Italy
Angelica Tarpanelli
National Research Council, Research Institute for Geo-Hydrological
Protection, Perugia, 06128, Italy
Dominik Rains
Hydro-Climate Extremes Lab (H-CEL), Ghent University, Ghent, 9000,
Belgium
Diego G. Miralles
Hydro-Climate Extremes Lab (H-CEL), Ghent University, Ghent, 9000,
Belgium
Raphael Quast
Department of Geodesy and Geoinformation, TU Wien, Vienna, 1040,
Austria
Mariette Vreugdenhil
Department of Geodesy and Geoinformation, TU Wien, Vienna, 1040,
Austria
Huan Wu
Southern Marine Science and Engineering Laboratory (Zhuhai), School of Atmospheric Sciences, Sun Yat-sen University, Zhuhai, 519082, China
Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies, Sun Yat-sen University, Guangzhou, 510275, China
Luca Brocca
National Research Council, Research Institute for Geo-Hydrological
Protection, Perugia, 06128, Italy
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Cited
11 citations as recorded by crossref.
- Connecting hydrological modelling and forecasting from global to local scales: Perspectives from an international joint virtual workshop A. Dasgupta et al. 10.1111/jfr3.12880
- Uncertainty Quantification of Satellite Soil Moisture Retrieved Precipitation in the Central Tibetan Plateau K. Zhang et al. 10.3390/rs15102600
- Satellite-based soil moisture enhances the reliability of agro-hydrological modeling in large transboundary river basins M. Eini et al. 10.1016/j.scitotenv.2023.162396
- Capability of satellite rainfall products in simulating streamflows in the Black Volta Basin F. Logah et al. 10.1007/s40899-023-00871-w
- Evaluation of snow depth retrievals from ICESat-2 using airborne laser-scanning data C. Deschamps-Berger et al. 10.5194/tc-17-2779-2023
- Comparison of High-Resolution Satellite Precipitation Products in Sub-Saharan Morocco M. Rachdane et al. 10.3390/w14203336
- A Complete Meteo/Hydro/Hydraulic Chain Application to Support Early Warning and Monitoring Systems: The Apollo Medicane Use Case M. Lagasio et al. 10.3390/rs14246348
- High-resolution observations from space to address new applications in hydrology L. Brocca et al. 10.1016/j.xinn.2023.100437
- IT-SNOW: a snow reanalysis for Italy blending modeling, in situ data, and satellite observations (2010–2021) F. Avanzi et al. 10.5194/essd-15-639-2023
- An innovative approach for retrieval of gridded urban canopy parameters using very high resolution optical satellite stereo K. Gupta et al. 10.1080/01431161.2022.2112108
- River runoff estimation with satellite rainfall in Morocco Y. Tramblay et al. 10.1080/02626667.2023.2171295
9 citations as recorded by crossref.
- Connecting hydrological modelling and forecasting from global to local scales: Perspectives from an international joint virtual workshop A. Dasgupta et al. 10.1111/jfr3.12880
- Uncertainty Quantification of Satellite Soil Moisture Retrieved Precipitation in the Central Tibetan Plateau K. Zhang et al. 10.3390/rs15102600
- Satellite-based soil moisture enhances the reliability of agro-hydrological modeling in large transboundary river basins M. Eini et al. 10.1016/j.scitotenv.2023.162396
- Capability of satellite rainfall products in simulating streamflows in the Black Volta Basin F. Logah et al. 10.1007/s40899-023-00871-w
- Evaluation of snow depth retrievals from ICESat-2 using airborne laser-scanning data C. Deschamps-Berger et al. 10.5194/tc-17-2779-2023
- Comparison of High-Resolution Satellite Precipitation Products in Sub-Saharan Morocco M. Rachdane et al. 10.3390/w14203336
- A Complete Meteo/Hydro/Hydraulic Chain Application to Support Early Warning and Monitoring Systems: The Apollo Medicane Use Case M. Lagasio et al. 10.3390/rs14246348
- High-resolution observations from space to address new applications in hydrology L. Brocca et al. 10.1016/j.xinn.2023.100437
- IT-SNOW: a snow reanalysis for Italy blending modeling, in situ data, and satellite observations (2010–2021) F. Avanzi et al. 10.5194/essd-15-639-2023
2 citations as recorded by crossref.
Latest update: 25 Sep 2023
Short summary
This work shows advances in high-resolution satellite data for hydrology. We performed hydrological simulations for the Po River basin using various satellite products, including precipitation, evaporation, soil moisture, and snow depth. Evaporation and snow depth improved a simulation based on high-quality ground observations. Interestingly, a model calibration relying on satellite data skillfully reproduces observed discharges, paving the way to satellite-driven hydrological applications.
This work shows advances in high-resolution satellite data for hydrology. We performed...
