Articles | Volume 14, issue 5
https://doi.org/10.5194/nhess-14-1283-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/nhess-14-1283-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
23 May 2014
Research article |
| 23 May 2014
Stochastic semi-continuous simulation for extreme flood estimation in catchments with combined rainfall–snowmelt flood regimes
D. Lawrence
Norwegian Water Resources and Energy Directorate (NVE), Oslo, Norway
E. Paquet
Electricité de France (EDF-DTG), Grenoble, France
J. Gailhard
Electricité de France (EDF-DTG), Grenoble, France
A. K. Fleig
Norwegian Water Resources and Energy Directorate (NVE), Oslo, Norway
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Cited
26 citations as recorded by crossref.
- Hydrologic State Influence on Riverine Flood Discharge for a Small Temperate Watershed (Fall Creek, United States): Negative Feedbacks on the Effects of Climate Change J. Knighton et al. https://doi.org/10.1175/JHM-D-16-0164.1
- A hydro-climatic approach for extreme flood estimation in mountainous catchments M. Bashirgonbad et al. https://doi.org/10.1007/s13201-024-02149-8
- Evaluation of design flood estimates – a case study for Norway F. Kobierska et al. https://doi.org/10.2166/nh.2017.068
- Evaluation of a compound distribution based on weather pattern subsampling for extreme rainfall in Norway J. Blanchet et al. https://doi.org/10.5194/nhess-15-2653-2015
- Bivariate flood distribution analysis under parametric copula framework: a case study for Kelantan River basin in Malaysia S. Latif & F. Mustafa https://doi.org/10.1007/s11600-020-00435-y
- Dependence of model-based extreme flood estimation on the calibration period: case study of the Kamp River (Austria) P. Brigode et al. https://doi.org/10.1080/02626667.2015.1006632
- Rainwater harvesting for urban flood management – An integrated modelling framework B. Jamali et al. https://doi.org/10.1016/j.watres.2019.115372
- Pluvial flooding: High-resolution stochastic hazard mapping in urban areas by using fast-processing DEM-based algorithms L. Mediero et al. https://doi.org/10.1016/j.jhydrol.2022.127649
- Assessing the element of surprise of record‐breaking flood events T. Kjeldsen & I. Prosdocimi https://doi.org/10.1111/jfr3.12260
- Copula-based multivariate flood probability construction: a review S. Latif & F. Mustafa https://doi.org/10.1007/s12517-020-5077-6
- Review article: A comprehensive review of compound flooding literature with a focus on coastal and estuarine regions J. Green et al. https://doi.org/10.5194/nhess-25-747-2025
- Recursively updating the error forecasting scheme of a complementary modelling framework for improved reservoir inflow forecasts A. Gragne et al. https://doi.org/10.1016/j.jhydrol.2015.05.039
- Science of forests and floods: The quantum leap forward needed, literally and metaphorically H. Pham & Y. Alila https://doi.org/10.1016/j.scitotenv.2023.169646
- Regionalisation of the parameters of the rainfall–runoff model PQRUT V. Filipova et al. https://doi.org/10.2166/nh.2016.060
- Estimating design hydrographs at the basin scale: from event-based to continuous hydrological simulation A. Fleischmann et al. https://doi.org/10.1590/2318-0331.241920180109
- Stochastic framework reveals the controls of forest treatment – peakflow causal relations in rain environment H. Pham et al. https://doi.org/10.1016/j.jhydrol.2025.133704
- Extension of observed flood series by combining a distributed hydro-meteorological model and a copula-based model A. Requena et al. https://doi.org/10.1007/s00477-015-1138-x
- A stochastic event-based approach for flood estimation in catchments with mixed rainfall and snowmelt flood regimes V. Filipova et al. https://doi.org/10.5194/nhess-19-1-2019
- Evaluation of a Computational Simulation Approach Combining GIS, 2D Hydraulic Software, and Deep Learning Technique for River Flood Extent Mapping N. Xafoulis et al. https://doi.org/10.3390/hydrology13010026
- Fully automated snow depth measurements from time-lapse images applying a convolutional neural network M. Kopp et al. https://doi.org/10.1016/j.scitotenv.2019.134213
- Fully Stochastic Distributed Methodology for Multivariate Flood Frequency Analysis I. Flores-Montoya et al. https://doi.org/10.3390/w8060225
- Incorporating seasonality into event-based joint probability methods for predicting flood frequency: A hybrid causative event approach J. Li et al. https://doi.org/10.1016/j.jhydrol.2015.11.038
- Compound-event analysis in non-stationary hydrological hazards: a case study of the Niger River in Niamey E. Sauzedde et al. https://doi.org/10.1080/02626667.2024.2435534
- Nordic contributions to stochastic methods in hydrology D. Rosbjerg et al. https://doi.org/10.2166/nh.2022.137
- Probabilistic Design Storm Method for Improved Flood Estimation in Ungauged Catchments M. Berk et al. https://doi.org/10.1002/2017WR020947
- Review article: Climate change impacts on dam safety J. Fluixá-Sanmartín et al. https://doi.org/10.5194/nhess-18-2471-2018
26 citations as recorded by crossref.
- Hydrologic State Influence on Riverine Flood Discharge for a Small Temperate Watershed (Fall Creek, United States): Negative Feedbacks on the Effects of Climate Change J. Knighton et al. https://doi.org/10.1175/JHM-D-16-0164.1
- A hydro-climatic approach for extreme flood estimation in mountainous catchments M. Bashirgonbad et al. https://doi.org/10.1007/s13201-024-02149-8
- Evaluation of design flood estimates – a case study for Norway F. Kobierska et al. https://doi.org/10.2166/nh.2017.068
- Evaluation of a compound distribution based on weather pattern subsampling for extreme rainfall in Norway J. Blanchet et al. https://doi.org/10.5194/nhess-15-2653-2015
- Bivariate flood distribution analysis under parametric copula framework: a case study for Kelantan River basin in Malaysia S. Latif & F. Mustafa https://doi.org/10.1007/s11600-020-00435-y
- Dependence of model-based extreme flood estimation on the calibration period: case study of the Kamp River (Austria) P. Brigode et al. https://doi.org/10.1080/02626667.2015.1006632
- Rainwater harvesting for urban flood management – An integrated modelling framework B. Jamali et al. https://doi.org/10.1016/j.watres.2019.115372
- Pluvial flooding: High-resolution stochastic hazard mapping in urban areas by using fast-processing DEM-based algorithms L. Mediero et al. https://doi.org/10.1016/j.jhydrol.2022.127649
- Assessing the element of surprise of record‐breaking flood events T. Kjeldsen & I. Prosdocimi https://doi.org/10.1111/jfr3.12260
- Copula-based multivariate flood probability construction: a review S. Latif & F. Mustafa https://doi.org/10.1007/s12517-020-5077-6
- Review article: A comprehensive review of compound flooding literature with a focus on coastal and estuarine regions J. Green et al. https://doi.org/10.5194/nhess-25-747-2025
- Recursively updating the error forecasting scheme of a complementary modelling framework for improved reservoir inflow forecasts A. Gragne et al. https://doi.org/10.1016/j.jhydrol.2015.05.039
- Science of forests and floods: The quantum leap forward needed, literally and metaphorically H. Pham & Y. Alila https://doi.org/10.1016/j.scitotenv.2023.169646
- Regionalisation of the parameters of the rainfall–runoff model PQRUT V. Filipova et al. https://doi.org/10.2166/nh.2016.060
- Estimating design hydrographs at the basin scale: from event-based to continuous hydrological simulation A. Fleischmann et al. https://doi.org/10.1590/2318-0331.241920180109
- Stochastic framework reveals the controls of forest treatment – peakflow causal relations in rain environment H. Pham et al. https://doi.org/10.1016/j.jhydrol.2025.133704
- Extension of observed flood series by combining a distributed hydro-meteorological model and a copula-based model A. Requena et al. https://doi.org/10.1007/s00477-015-1138-x
- A stochastic event-based approach for flood estimation in catchments with mixed rainfall and snowmelt flood regimes V. Filipova et al. https://doi.org/10.5194/nhess-19-1-2019
- Evaluation of a Computational Simulation Approach Combining GIS, 2D Hydraulic Software, and Deep Learning Technique for River Flood Extent Mapping N. Xafoulis et al. https://doi.org/10.3390/hydrology13010026
- Fully automated snow depth measurements from time-lapse images applying a convolutional neural network M. Kopp et al. https://doi.org/10.1016/j.scitotenv.2019.134213
- Fully Stochastic Distributed Methodology for Multivariate Flood Frequency Analysis I. Flores-Montoya et al. https://doi.org/10.3390/w8060225
- Incorporating seasonality into event-based joint probability methods for predicting flood frequency: A hybrid causative event approach J. Li et al. https://doi.org/10.1016/j.jhydrol.2015.11.038
- Compound-event analysis in non-stationary hydrological hazards: a case study of the Niger River in Niamey E. Sauzedde et al. https://doi.org/10.1080/02626667.2024.2435534
- Nordic contributions to stochastic methods in hydrology D. Rosbjerg et al. https://doi.org/10.2166/nh.2022.137
- Probabilistic Design Storm Method for Improved Flood Estimation in Ungauged Catchments M. Berk et al. https://doi.org/10.1002/2017WR020947
- Review article: Climate change impacts on dam safety J. Fluixá-Sanmartín et al. https://doi.org/10.5194/nhess-18-2471-2018
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