Articles | Volume 22, issue 2
https://doi.org/10.5194/hess-22-1263-2018
© Author(s) 2018. 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-22-1263-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
20 Feb 2018
Research article |
| 20 Feb 2018
A coupled stochastic rainfall–evapotranspiration model for hydrological impact analysis
Minh Tu Pham
CORRESPONDING AUTHOR
Laboratory of Hydrology and Water Management, Ghent University, Coupure links 653, 9000 Ghent, Belgium
Hilde Vernieuwe
KERMIT, Department of Mathematical Modelling, Statistics and Bioinformatics, Ghent University, Coupure links 653, 9000 Ghent, Belgium
Bernard De Baets
KERMIT, Department of Mathematical Modelling, Statistics and Bioinformatics, Ghent University, Coupure links 653, 9000 Ghent, Belgium
Niko E. C. Verhoest
Laboratory of Hydrology and Water Management, Ghent University, Coupure links 653, 9000 Ghent, Belgium
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Cited
20 citations as recorded by crossref.
- Similarity and difference of potential evapotranspiration and reference crop evapotranspiration – a review K. Xiang et al. https://doi.org/10.1016/j.agwat.2020.106043
- Future multivariate weather generation by combining Bartlett-Lewis and vine copula models J. Van de Velde et al. https://doi.org/10.1080/02626667.2022.2144322
- Impact of bias nonstationarity on the performance of uni- and multivariate bias-adjusting methods: a case study on data from Uccle, Belgium J. Van de Velde et al. https://doi.org/10.5194/hess-26-2319-2022
- Multivariate analysis of rainfall and its deficiency signatures using vine copulas M. Nazeri Tahroudi et al. https://doi.org/10.1002/joc.7349
- A hybrid vine copula-fuzzy model for groundwater level simulation under uncertainty R. Ahmadifar et al. https://doi.org/10.1007/s10661-025-13856-3
- Continuous hydrologic modelling for design simulation in small and ungauged basins: A step forward and some tests for its practical use S. Grimaldi et al. https://doi.org/10.1016/j.jhydrol.2020.125664
- The optimal alternative for quantifying reference evapotranspiration in climatic sub-regions of Bangladesh R. Salam et al. https://doi.org/10.1038/s41598-020-77183-y
- Stochastic Analysis of Hourly to Monthly Potential Evapotranspiration with a Focus on the Long-Range Dependence and Application with Reanalysis and Ground-Station Data P. Dimitriadis et al. https://doi.org/10.3390/hydrology8040177
- Reliability assessment of marine structures considering multidimensional dependency of the variables O. Aghatise et al. https://doi.org/10.1016/j.oceaneng.2021.109021
- Continuous hydrologic modelling for small and ungauged basins: A comparison of eight rainfall models for sub-daily runoff simulations S. Grimaldi et al. https://doi.org/10.1016/j.jhydrol.2022.127866
- Spatio-Temporal Synthesis of Continuous Precipitation Series Using Vine Copulas A. Callau Poduje & U. Haberlandt https://doi.org/10.3390/w10070862
- Analyzing and Assessing Dynamic Behavior of a Physical Supply and Demand System for Sustainable Water Management under a Semi-Arid Environment A. Mashaly & A. Fernald https://doi.org/10.3390/w14121939
- Impact Assessment of Rainfall-Runoff Simulations on the Flow Duration Curve of the Upper Indus River—A Comparison of Data-Driven and Hydrologic Models A. Rauf & A. Ghumman https://doi.org/10.3390/w10070876
- Numberical Simulation of Evapotranspiration with Limited Data in the Pearl River Basin Q. Huang et al. https://doi.org/10.4028/www.scientific.net/MSF.980.512
- Extraction of intensity-duration for short-term extreme rainfalls from daily and yearly extreme rainfalls using copula functions M. Siamaki et al. https://doi.org/10.1007/s00704-024-04972-0
- Multivariate adjustment of drizzle bias using machine learning in European climate projections G. Lazoglou et al. https://doi.org/10.5194/gmd-17-4689-2024
- Identification of compound drought and heatwave events on a daily scale and across four seasons B. Shan et al. https://doi.org/10.5194/hess-28-2065-2024
- Method for classifying sites to Atlantic Rainforest restoration aiming to increase basin’s streamflows R. Cecílio et al. https://doi.org/10.3832/ifor3658-013
- Effective Drought Communication: Using the Past to Assess the Present and Anticipate the Future H. Vernieuwe et al. https://doi.org/10.3390/w13050714
- Exploring the Effect of Occurrence-Bias-Adjustment Assumptions on Hydrological Impact Modeling J. Van de Velde et al. https://doi.org/10.3390/w13111573
20 citations as recorded by crossref.
- Similarity and difference of potential evapotranspiration and reference crop evapotranspiration – a review K. Xiang et al. https://doi.org/10.1016/j.agwat.2020.106043
- Future multivariate weather generation by combining Bartlett-Lewis and vine copula models J. Van de Velde et al. https://doi.org/10.1080/02626667.2022.2144322
- Impact of bias nonstationarity on the performance of uni- and multivariate bias-adjusting methods: a case study on data from Uccle, Belgium J. Van de Velde et al. https://doi.org/10.5194/hess-26-2319-2022
- Multivariate analysis of rainfall and its deficiency signatures using vine copulas M. Nazeri Tahroudi et al. https://doi.org/10.1002/joc.7349
- A hybrid vine copula-fuzzy model for groundwater level simulation under uncertainty R. Ahmadifar et al. https://doi.org/10.1007/s10661-025-13856-3
- Continuous hydrologic modelling for design simulation in small and ungauged basins: A step forward and some tests for its practical use S. Grimaldi et al. https://doi.org/10.1016/j.jhydrol.2020.125664
- The optimal alternative for quantifying reference evapotranspiration in climatic sub-regions of Bangladesh R. Salam et al. https://doi.org/10.1038/s41598-020-77183-y
- Stochastic Analysis of Hourly to Monthly Potential Evapotranspiration with a Focus on the Long-Range Dependence and Application with Reanalysis and Ground-Station Data P. Dimitriadis et al. https://doi.org/10.3390/hydrology8040177
- Reliability assessment of marine structures considering multidimensional dependency of the variables O. Aghatise et al. https://doi.org/10.1016/j.oceaneng.2021.109021
- Continuous hydrologic modelling for small and ungauged basins: A comparison of eight rainfall models for sub-daily runoff simulations S. Grimaldi et al. https://doi.org/10.1016/j.jhydrol.2022.127866
- Spatio-Temporal Synthesis of Continuous Precipitation Series Using Vine Copulas A. Callau Poduje & U. Haberlandt https://doi.org/10.3390/w10070862
- Analyzing and Assessing Dynamic Behavior of a Physical Supply and Demand System for Sustainable Water Management under a Semi-Arid Environment A. Mashaly & A. Fernald https://doi.org/10.3390/w14121939
- Impact Assessment of Rainfall-Runoff Simulations on the Flow Duration Curve of the Upper Indus River—A Comparison of Data-Driven and Hydrologic Models A. Rauf & A. Ghumman https://doi.org/10.3390/w10070876
- Numberical Simulation of Evapotranspiration with Limited Data in the Pearl River Basin Q. Huang et al. https://doi.org/10.4028/www.scientific.net/MSF.980.512
- Extraction of intensity-duration for short-term extreme rainfalls from daily and yearly extreme rainfalls using copula functions M. Siamaki et al. https://doi.org/10.1007/s00704-024-04972-0
- Multivariate adjustment of drizzle bias using machine learning in European climate projections G. Lazoglou et al. https://doi.org/10.5194/gmd-17-4689-2024
- Identification of compound drought and heatwave events on a daily scale and across four seasons B. Shan et al. https://doi.org/10.5194/hess-28-2065-2024
- Method for classifying sites to Atlantic Rainforest restoration aiming to increase basin’s streamflows R. Cecílio et al. https://doi.org/10.3832/ifor3658-013
- Effective Drought Communication: Using the Past to Assess the Present and Anticipate the Future H. Vernieuwe et al. https://doi.org/10.3390/w13050714
- Exploring the Effect of Occurrence-Bias-Adjustment Assumptions on Hydrological Impact Modeling J. Van de Velde et al. https://doi.org/10.3390/w13111573
Saved (final revised paper)
Latest update: 21 Jun 2026
Short summary
In this paper, stochastically generated rainfall and corresponding evapotranspiration time series, generated by means of vine copulas, are used to force a simple conceptual hydrological model. The results obtained are comparable to the modelled discharge using observed forcing data. Yet, uncertainties in the modelled discharge increase with an increasing number of stochastically generated time series used. Still, the developed model has great potential for hydrological impact analysis.
In this paper, stochastically generated rainfall and corresponding evapotranspiration time...
