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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- Copula‐based downscaling of daily precipitation fields M. Lorenz et al. 10.1002/hyp.13271
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- Probabilistic modeling of flood characterizations with parametric and minimum information pair-copula model A. Daneshkhah et al. 10.1016/j.jhydrol.2016.06.044
62 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
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- Multivariate analysis of flood characteristics in Armand Watershed, Iran using vine copulas S. Amini et al. 10.1007/s12517-022-11102-5
- Copulas and hydro-economic models for assessing the impacts of climate change in irrigated agriculture I. El ouadi et al. 10.1051/e3sconf/202449204002
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- Copula-based multivariate flood probability construction: a review S. Latif & F. Mustafa 10.1007/s12517-020-5077-6
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- 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
- Vine Copula-Based Multivariate Distribution of Rainfall Intensity, Wind Speed, and Wind Direction for Optimizing Qatari Meteorological Stations H. Qasem et al. 10.3390/w16091257
- 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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- 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
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- Flow duration curve prediction: A framework integrating regionalization and copula model T. Lan et al. 10.1016/j.jhydrol.2024.132364
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- Generating monthly rainfall amount using multivariate skew-t copula N. Radi et al. 10.1088/1742-6596/890/1/012133
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- Constructing multivariate distribution of rainfall characteristics: A Bayesian vine algorithm A. Sharma et al. 10.1016/j.jhydrol.2024.131392
- 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
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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
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- 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
- The response of agricultural drought to meteorological drought modulated by air temperature X. Wei et al. 10.1016/j.jhydrol.2024.131626
- A novel risk analysis approach of casing under complex conditions using copulas L. Zhao et al. 10.1016/j.petrol.2020.106955
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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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