Articles | Volume 19, issue 6
https://doi.org/10.5194/hess-19-2685-2015
© 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-19-2685-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
A continuous rainfall model based on vine copulas
H. Vernieuwe
CORRESPONDING AUTHOR
KERMIT, Department of Mathematical Modelling, Statistics and Bioinformatics, Ghent University, Coupure links 653, 9000 Ghent, Belgium
S. Vandenberghe
Laboratory of Hydrology and Water Management, Ghent University, Coupure links 653, 9000 Ghent, Belgium
B. De Baets
KERMIT, Department of Mathematical Modelling, Statistics and Bioinformatics, Ghent University, Coupure links 653, 9000 Ghent, Belgium
N. E. C. Verhoest
Laboratory of Hydrology and Water Management, Ghent University, Coupure links 653, 9000 Ghent, Belgium
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- Vine-Copula-Based Quantile Regression for Cascade Reservoirs Management W. El Hannoun et al. 10.3390/w13070964
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- Urbanization and Management of the Catchment Retention in the Aspect of Operation of Storm Overflow: A Probabilistic Approach B. Szeląg et al. 10.3390/su11133651
- Copula Theory as a Generalized Framework for Flow‐Duration Curve Based Streamflow Estimates in Ungaged and Partially Gaged Catchments S. Worland et al. 10.1029/2019WR025138
- A Probabilistic Model for Maximum Rainfall Frequency Analysis M. Ciupak et al. 10.3390/w13192688
- Copula‐based downscaling of daily precipitation fields M. Lorenz et al. 10.1002/hyp.13271
- Multidimensional risk in a nonstationary climate: Joint probability of increasingly severe warm and dry conditions A. Sarhadi et al. 10.1126/sciadv.aau3487
- Streamflow estimation at partially gaged sites using multiple-dependence conditions via vine copulas K. Ahn 10.5194/hess-25-4319-2021
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- Critical rainfall statistics for predicting watershed flood responses: rethinking the design storm concept J. Knighton & M. Walter 10.1002/hyp.10888
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37 citations as recorded by crossref.
- Flood risk analysis for flood control and sediment transportation in sandy regions: A case study in the Loess Plateau, China A. Guo et al. 10.1016/j.jhydrol.2018.02.076
- A Framework for Exploring Joint Effects of Conditional Factors on Compound Floods Z. Liu et al. 10.1002/2017WR021662
- Development of Dependence Indexes for Multi-Unit Risk Assessment and its Estimation Using Copula K. Jin et al. 10.1016/j.ress.2021.107652
- Predictive Uncertainty Estimation of Hydrological Multi-Model Ensembles Using Pair-Copula Construction B. Klein et al. 10.3390/w8040125
- Probability Analysis and Control of River Runoff–sediment Characteristics based on Pair-Copula Functions: The Case of the Weihe River and Jinghe River Q. You et al. 10.3390/w11030510
- Copula–entropy theory for multivariate stochastic modeling in water engineering V. Singh & L. Zhang 10.1186/s40562-018-0105-z
- Spatio-Temporal Synthesis of Continuous Precipitation Series Using Vine Copulas A. Callau Poduje & U. Haberlandt 10.3390/w10070862
- Stability of spatial dependence structure of extreme precipitation and the concurrent risk over a nested basin Z. Liu et al. 10.1016/j.jhydrol.2021.126766
- Vine-Copula-Based Quantile Regression for Cascade Reservoirs Management W. El Hannoun et al. 10.3390/w13070964
- Copula-based multivariate flood probability construction: a review S. Latif & F. Mustafa 10.1007/s12517-020-5077-6
- Urbanization and Management of the Catchment Retention in the Aspect of Operation of Storm Overflow: A Probabilistic Approach B. Szeląg et al. 10.3390/su11133651
- Copula Theory as a Generalized Framework for Flow‐Duration Curve Based Streamflow Estimates in Ungaged and Partially Gaged Catchments S. Worland et al. 10.1029/2019WR025138
- A Probabilistic Model for Maximum Rainfall Frequency Analysis M. Ciupak et al. 10.3390/w13192688
- Copula‐based downscaling of daily precipitation fields M. Lorenz et al. 10.1002/hyp.13271
- Multidimensional risk in a nonstationary climate: Joint probability of increasingly severe warm and dry conditions A. Sarhadi et al. 10.1126/sciadv.aau3487
- Streamflow estimation at partially gaged sites using multiple-dependence conditions via vine copulas K. Ahn 10.5194/hess-25-4319-2021
- Application of logistic regression to simulate the influence of rainfall genesis on storm overflow operations: a probabilistic approach B. Szeląg et al. 10.5194/hess-24-595-2020
- Variability and extremes: statistical validation of the Alfred Wegener Institute Earth System Model (AWI-ESM) J. Contzen et al. 10.5194/gmd-15-1803-2022
- Generating monthly rainfall amount using multivariate skew-t copula N. Radi et al. 10.1088/1742-6596/890/1/012133
- Modeling impacts of climate change on return period of landslide triggering D. Peres & A. Cancelliere 10.1016/j.jhydrol.2018.10.036
- Modeling Joint Relationship and Design Scenarios Between Precipitation, Surface Temperature, and Atmospheric Precipitable Water Over Mainland China O. Ayantobo et al. 10.1029/2020EA001513
- Influence of urban catchment characteristics and rainfall origins on the phenomenon of stormwater flooding: Case study B. Szeląg et al. 10.1016/j.envsoft.2022.105335
- Snow-melt flood frequency analysis by means of copula based 2D probability distributions for the Narew River in Poland B. Ozga-Zielinski et al. 10.1016/j.ejrh.2016.02.001
- Stormwater Reservoir Sizing in Respect of Uncertainty B. Szeląg et al. 10.3390/w11020321
- Multivariate Modeling of Annual Instantaneous Maximum Flows Using Copulas F. Tosunoglu & V. Singh 10.1061/(ASCE)HE.1943-5584.0001644
- Swiss Rainfall Mass Curves and their Influence on Extreme Flood Simulation F. Zeimetz et al. 10.1007/s11269-018-1948-y
- Third-Order Polynomial Normal Transform Applied to Multivariate Hydrologic Extremes Y. Tung et al. 10.3390/w11030490
- A new framework for a multi-site stochastic daily rainfall model: Coupling a univariate Markov chain model with a multi-site rainfall event model C. Gao et al. 10.1016/j.jhydrol.2021.126478
- Meteorological drought analysis in response to climate change conditions, based on combined four-dimensional vine copulas and data mining (VC-DM) A. Farrokhi et al. 10.1016/j.jhydrol.2021.127135
- A regional comparative analysis of empirical and theoretical flood peak-volume relationships J. Szolgay et al. 10.1515/johh-2016-0042
- A novel risk analysis approach of casing under complex conditions using copulas L. Zhao et al. 10.1016/j.petrol.2020.106955
- An Alternative for Estimating the Design Flood Interval of Agricultural Reservoirs under Climate Change Using a Non-Parametric Resampling Technique J. Park et al. 10.3390/w12071894
- Stochastic simulation of precipitation-consistent daily reference evapotranspiration using vine copulas M. Pham et al. 10.1007/s00477-015-1181-7
- Storm event-based frequency analysis method C. Jun et al. 10.2166/nh.2017.175
- Multivariate C opula A nalysis T oolbox (MvCAT): Describing dependence and underlying uncertainty using a B ayesian framework M. Sadegh et al. 10.1002/2016WR020242
- Short time step continuous rainfall modeling and simulation of extreme events A. Callau Poduje & U. Haberlandt 10.1016/j.jhydrol.2017.06.036
- Bayesian classifier with multivariate distribution based on D-vine copula model for awake/drowsiness interpretation during power nap B. Wang et al. 10.1016/j.bspc.2019.101686
4 citations as recorded by crossref.
- Review of dependence modeling in hydrology and water resources Z. Hao & V. Singh 10.1177/0309133316632460
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- Critical rainfall statistics for predicting watershed flood responses: rethinking the design storm concept J. Knighton & M. Walter 10.1002/hyp.10888
- Probabilistic modeling of flood characterizations with parametric and minimum information pair-copula model A. Daneshkhah et al. 10.1016/j.jhydrol.2016.06.044
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