Articles | Volume 19, issue 4
https://doi.org/10.5194/hess-19-1727-2015
© 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-19-1727-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Uncertainty reduction and parameter estimation of a distributed hydrological model with ground and remote-sensing data
F. Silvestro
CORRESPONDING AUTHOR
CIMA Research Foundation, Savona, Italy
S. Gabellani
CIMA Research Foundation, Savona, Italy
R. Rudari
CIMA Research Foundation, Savona, Italy
F. Delogu
CIMA Research Foundation, Savona, Italy
P. Laiolo
CIMA Research Foundation, Savona, Italy
CIMA Research Foundation, Savona, Italy
DIBRIS, University of Genova, Genova, Italy
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95 citations as recorded by crossref.
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- The use of machine learning techniques for a predictive model of debris flows triggered by short intense rainfall M. Ponziani et al. 10.1007/s11069-023-05853-x
- Severe floods predictive ability: A proxy based probabilistic assessment of the Italian early warning system F. Silvestro et al. 10.1111/jfr3.12970
- Comprehensive Analysis for Long-Term Hydrological Simulation by Deep Learning Techniques and Remote Sensing C. Xu et al. 10.3389/feart.2022.875145
- Quantifying Flood Frequency Modification Caused by Multi-Reservoir Regulation Y. Tang et al. 10.1007/s11269-019-02374-w
- A Comprehensive Distributed Hydrological Modeling Intercomparison to Support Process Representation and Data Collection Strategies G. Baroni et al. 10.1029/2018WR023941
- Comparison of two early warning systems for regional flash flood hazard forecasting C. Corral et al. 10.1016/j.jhydrol.2019.03.026
- The flash flood of the Bisagno Creek on 9th October 2014: An “unfortunate” combination of spatial and temporal scales F. Silvestro et al. 10.1016/j.jhydrol.2015.08.004
- Propagating aleatory and epistemic uncertainty in land cover change prediction process A. Ferchichi et al. 10.1016/j.ecoinf.2016.11.006
- Assessment of Suitable Gridded Climate Datasets for Large-Scale Hydrological Modelling over South Korea D. Lee & K. Ahn 10.3390/rs14153535
- NRCS-CN Estimation from Onsite and Remote Sensing Data for Management of a Reservoir in the Eastern Pyrenees M. Sanz-Ramos et al. 10.1061/(ASCE)HE.1943-5584.0001979
- Improving real-time operational streamflow simulations using discharge data to update state variables of a distributed hydrological model F. Silvestro et al. 10.2166/nh.2021.162
- What if the 25 October 2011 event that struck Cinque Terre (Liguria) had happened in Genoa, Italy? Flooding scenarios, hazard mapping and damage estimation F. Silvestro et al. 10.5194/nhess-16-1737-2016
- Usefulness of Global Root Zone Soil Moisture Product for Streamflow Prediction of Ungauged Basins J. Choi et al. 10.3390/rs13040756
- Remote Sensing of River Discharge: A Review and a Framing for the Discipline C. Gleason & M. Durand 10.3390/rs12071107
- A Prior Estimation of the Spatial Distribution Parameter of Soil Moisture Storage Capacity Using Satellite-Based Root-Zone Soil Moisture Data Y. Tian et al. 10.3390/rs11212580
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