Articles | Volume 21, issue 12
https://doi.org/10.5194/hess-21-6501-2017
© Author(s) 2017. 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-21-6501-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
20 Dec 2017
Research article |
| 20 Dec 2017
Precipitation extremes on multiple timescales – Bartlett–Lewis rectangular pulse model and intensity–duration–frequency curves
Christoph Ritschel
CORRESPONDING AUTHOR
Institut für Meteorologie, Freie Universität Berlin,
Carl-Heinrich-Becker-Weg 6–10, 12165 Berlin, Germany
Invited contribution by Christoph Ritschel, recipient of the EGU Hydrological Sciences Outstanding Student Poster Award 2015.
Uwe Ulbrich
Institut für Meteorologie, Freie Universität Berlin,
Carl-Heinrich-Becker-Weg 6–10, 12165 Berlin, Germany
Peter Névir
Institut für Meteorologie, Freie Universität Berlin,
Carl-Heinrich-Becker-Weg 6–10, 12165 Berlin, Germany
Henning W. Rust
Institut für Meteorologie, Freie Universität Berlin,
Carl-Heinrich-Becker-Weg 6–10, 12165 Berlin, Germany
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- Seasonal intensity-duration-frequency relationships for Pelotas, Rio Grande do Sul, Brazil E. Manke et al. 10.1590/1807-1929/agriambi.v26n2p85-90
- A simple scheme to adjust Poisson cluster rectangular pulse rainfall models for improved performance at sub-hourly timescales J. Park et al. 10.1016/j.jhydrol.2021.126296
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- Consistent intensity-duration-frequency curves by post-processing of estimated Bayesian posterior quantiles T. Roksvåg et al. 10.1016/j.jhydrol.2021.127000
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- Modeling Intensity‐Duration‐Frequency Curves for the Whole Range of Non‐Zero Precipitation: A Comparison of Models A. Haruna et al. 10.1029/2022WR033362
- A Transient Stochastic Rainfall Generator for Climate Changes Analysis at Hydrological Scales in Central Italy D. De Luca et al. 10.3390/atmos11121292
- Investigation of the Effect of Climate Change on Extreme Precipitation: Capital Ankara Case S. ORUC et al. 10.18400/tekderg.714980
- A Vine Copula‐Based Ensemble Projection of Precipitation Intensity–Duration–Frequency Curves at Sub‐Daily to Multi‐Day Time Scales B. Zhang et al. 10.1029/2022WR032658
20 citations as recorded by crossref.
- Estimating IDF Curves Consistently over Durations with Spatial Covariates J. Ulrich et al. 10.3390/w12113119
- Changing Pattern of Intensity–Duration–Frequency Relationship of Precipitation due to Climate Change S. Maity & R. Maity 10.1007/s11269-022-03313-y
- Stochastic generation of daily rainfall events: A single-site rainfall model with Copula-based joint simulation of rainfall characteristics and classification and simulation of rainfall patterns C. Gao et al. 10.1016/j.jhydrol.2018.06.073
- Modeling seasonal variations of extreme rainfall on different timescales in Germany J. Ulrich et al. 10.5194/hess-25-6133-2021
- Simulating multi-hazard event sets for life cycle consequence analysis L. Iannacone et al. 10.5194/nhess-24-1721-2024
- Geostatistical assessment of warm-season precipitation observations in Korea based on the composite precipitation and satellite water vapor data S. Park et al. 10.5194/hess-22-3435-2018
- Vulnerability Assessment of Dam Water Supply Capacity Based on Bivariate Frequency Analysis Using Copula C. Yoo & E. Cho 10.3390/w10091113
- Evaluating the Performance of a Max-Stable Process for Estimating Intensity-Duration-Frequency Curves O. Jurado et al. 10.3390/w12123314
- Investigation of rainfall disaggregation with flexible timescales based on point process models X. Qin & C. Dai 10.1016/j.jhydrol.2024.131101
- STORAGE (STOchastic RAinfall GEnerator): A User-Friendly Software for Generating Long and High-Resolution Rainfall Time Series D. De Luca & A. Petroselli 10.3390/hydrology8020076
- Seasonal intensity-duration-frequency relationships for Pelotas, Rio Grande do Sul, Brazil E. Manke et al. 10.1590/1807-1929/agriambi.v26n2p85-90
- A simple scheme to adjust Poisson cluster rectangular pulse rainfall models for improved performance at sub-hourly timescales J. Park et al. 10.1016/j.jhydrol.2021.126296
- Determinación de las curvas IDF en Igueldo-San Sebastián. Comparación de diferentes métodos J. López Rodríguez et al. 10.4995/ia.2018.9480
- Consistent intensity-duration-frequency curves by post-processing of estimated Bayesian posterior quantiles T. Roksvåg et al. 10.1016/j.jhydrol.2021.127000
- Comparative Evaluation of the Rainfall Erosivity in the Rieti Province, Central Italy, Using Empirical Formulas and a Stochastic Rainfall Generator A. Petroselli et al. 10.3390/hydrology8040171
- A hybrid stochastic rainfall model that reproduces some important rainfall characteristics at hourly to yearly timescales J. Park et al. 10.5194/hess-23-989-2019
- Modeling Intensity‐Duration‐Frequency Curves for the Whole Range of Non‐Zero Precipitation: A Comparison of Models A. Haruna et al. 10.1029/2022WR033362
- A Transient Stochastic Rainfall Generator for Climate Changes Analysis at Hydrological Scales in Central Italy D. De Luca et al. 10.3390/atmos11121292
- Investigation of the Effect of Climate Change on Extreme Precipitation: Capital Ankara Case S. ORUC et al. 10.18400/tekderg.714980
- A Vine Copula‐Based Ensemble Projection of Precipitation Intensity–Duration–Frequency Curves at Sub‐Daily to Multi‐Day Time Scales B. Zhang et al. 10.1029/2022WR032658
Latest update: 26 Jul 2024
Short summary
A stochastic model for precipitation is used to simulate an observed precipitation series; it is compared to the original series in terms of intensity–duration frequency curves. Basis for the latter curves is a parametric model for the duration dependence of the underlying extreme value model allowing a consistent estimation of one single duration-dependent distribution using all duration series simultaneously. The stochastic model reproduces the curves except for very rare extreme events.
A stochastic model for precipitation is used to simulate an observed precipitation series; it is...
