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.
Research article
| 
12 Jun 2015
Research article |
| 12 Jun 2015
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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Cited
56 citations as recorded by crossref.
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- 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
- Multivariate analysis of flood characteristics in Armand Watershed, Iran using vine copulas S. Amini et al. 10.1007/s12517-022-11102-5
- Parametric Vine Copula Framework in the Trivariate Probability Analysis of Compound Flooding Events S. Latif & S. Simonovic 10.3390/w14142214
- Copula-based multivariate flood probability construction: a review S. Latif & F. Mustafa 10.1007/s12517-020-5077-6
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- Trivariate Joint Distribution Modelling of Compound Events Using the Nonparametric D-Vine Copula Developed Based on a Bernstein and Beta Kernel Copula Density Framework S. Latif & S. Simonovic 10.3390/hydrology9120221
- Development of Rainfall-Runoff Models for Sustainable Stormwater Management in Urbanized Catchments B. Szeląg et al. 10.3390/w14131997
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- 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
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- Storm event-based frequency analysis method C. Jun et al. 10.2166/nh.2017.175
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- 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
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- Swiss Rainfall Mass Curves and their Influence on Extreme Flood Simulation F. Zeimetz et al. 10.1007/s11269-018-1948-y
- 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 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
- Short time step continuous rainfall modeling and simulation of extreme events A. Callau Poduje & U. Haberlandt 10.1016/j.jhydrol.2017.06.036
- Review of dependence modeling in hydrology and water resources Z. Hao & V. Singh 10.1177/0309133316632460
- Non-Gaussian spatiotemporal simulation of multisite daily precipitation: downscaling framework M. Ben Alaya et al. 10.1007/s00382-017-3578-0
- 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
52 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
- A storm-centered multivariate modeling of extreme precipitation frequency based on atmospheric water balance Y. Liu & D. Wright 10.5194/hess-26-5241-2022
- 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
- Future multivariate weather generation by combining Bartlett-Lewis and vine copula models J. Van de Velde et al. 10.1080/02626667.2022.2144322
- Copula–entropy theory for multivariate stochastic modeling in water engineering V. Singh & L. Zhang 10.1186/s40562-018-0105-z
- Toward analyzing meteorological droughts in western Iran: a multivariate approach based on vine copulas N. Jahannemaei et al. 10.1007/s11069-022-05747-4
- R-statistic based predictor variables selection and vine structure determination approach for stochastic streamflow generation considering temporal and spatial dependence X. Wang & Y. Shen 10.1016/j.jhydrol.2023.129093
- 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
- Multivariate analysis of flood characteristics in Armand Watershed, Iran using vine copulas S. Amini et al. 10.1007/s12517-022-11102-5
- Parametric Vine Copula Framework in the Trivariate Probability Analysis of Compound Flooding Events S. Latif & S. Simonovic 10.3390/w14142214
- Copula-based multivariate flood probability construction: a review S. Latif & F. Mustafa 10.1007/s12517-020-5077-6
- Comparison of rainfall generators with regionalisation for the estimation of rainfall erosivity at ungauged sites R. Pidoto et al. 10.5194/esurf-10-851-2022
- Trivariate Joint Distribution Modelling of Compound Events Using the Nonparametric D-Vine Copula Developed Based on a Bernstein and Beta Kernel Copula Density Framework S. Latif & S. Simonovic 10.3390/hydrology9120221
- Development of Rainfall-Runoff Models for Sustainable Stormwater Management in Urbanized Catchments B. Szeląg et al. 10.3390/w14131997
- 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
- 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
- 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
- Modeling impacts of climate change on return period of landslide triggering D. Peres & A. Cancelliere 10.1016/j.jhydrol.2018.10.036
- 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
- Third-Order Polynomial Normal Transform Applied to Multivariate Hydrologic Extremes Y. Tung et al. 10.3390/w11030490
- Multi-hazard joint probability distribution model for wind speed, wind direction and rain intensity W. Bi et al. 10.1007/s11431-022-2210-3
- A regional comparative analysis of empirical and theoretical flood peak-volume relationships J. Szolgay et al. 10.1515/johh-2016-0042
- 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
- An entropy and copula-based framework for streamflow prediction and spatio-temporal identification of drought X. Ju et al. 10.1007/s00477-023-02388-2
- Multivariate Copula Analysis Toolbox (MvCAT): Describing dependence and underlying uncertainty using a Bayesian framework M. Sadegh et al. 10.1002/2016WR020242
- 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
- A Framework of Dependence Modeling and Evaluation System for Compound Flood Events X. Wang & Y. Shen 10.1029/2023WR034718
- Spatio-Temporal Synthesis of Continuous Precipitation Series Using Vine Copulas A. Callau Poduje & U. Haberlandt 10.3390/w10070862
- Generating Continuous Rainfall Time Series with High Temporal Resolution by Using a Stochastic Rainfall Generator with a Copula and Modified Huff Rainfall Curves D. Nguyen & S. Chen 10.3390/w14132123
- Vine-Copula-Based Quantile Regression for Cascade Reservoirs Management W. El Hannoun et al. 10.3390/w13070964
- 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
- A Probabilistic Model for Maximum Rainfall Frequency Analysis M. Ciupak et al. 10.3390/w13192688
- 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
- Generating monthly rainfall amount using multivariate skew-t copula N. Radi et al. 10.1088/1742-6596/890/1/012133
- Probabilistic subseasonal precipitation forecasts using preceding atmospheric intraseasonal signals in a Bayesian perspective Y. Li et al. 10.5194/hess-26-4975-2022
- Modeling Joint Relationship and Design Scenarios Between Precipitation, Surface Temperature, and Atmospheric Precipitable Water Over Mainland China O. Ayantobo et al. 10.1029/2020EA001513
- Comparison between canonical vine copulas and a meta-Gaussian model for forecasting agricultural drought over China H. Wu et al. 10.5194/hess-26-3847-2022
- 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
- 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 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
- Short time step continuous rainfall modeling and simulation of extreme events A. Callau Poduje & U. Haberlandt 10.1016/j.jhydrol.2017.06.036
4 citations as recorded by crossref.
- Review of dependence modeling in hydrology and water resources Z. Hao & V. Singh 10.1177/0309133316632460
- Non-Gaussian spatiotemporal simulation of multisite daily precipitation: downscaling framework M. Ben Alaya et al. 10.1007/s00382-017-3578-0
- 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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