Articles | Volume 21, issue 12
https://doi.org/10.5194/hess-21-6461-2017
© 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-21-6461-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Does nonstationarity in rainfall require nonstationary intensity–duration–frequency curves?
Poulomi Ganguli
CORRESPONDING AUTHOR
Department of Civil Engineering, McMaster Water Resources and Hydrologic
Modelling Group, McMaster University, 1280 Main Street West, Hamilton, ON L8S 4L7, Canada
now at: GFZ German Research Centre for Geosciences, Sect. 5.4 Hydrology, 14473 Potsdam, Germany
Paulin Coulibaly
Department of Civil Engineering, McMaster Water Resources and Hydrologic
Modelling Group, McMaster University, 1280 Main Street West, Hamilton, ON L8S 4L7, Canada
Viewed
Total article views: 3,329 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 12 Jun 2017)
HTML | XML | Total | Supplement | BibTeX | EndNote | |
---|---|---|---|---|---|---|
1,898 | 1,362 | 69 | 3,329 | 395 | 60 | 69 |
- HTML: 1,898
- PDF: 1,362
- XML: 69
- Total: 3,329
- Supplement: 395
- BibTeX: 60
- EndNote: 69
Total article views: 2,384 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 18 Dec 2017)
HTML | XML | Total | Supplement | BibTeX | EndNote | |
---|---|---|---|---|---|---|
1,275 | 1,053 | 56 | 2,384 | 243 | 51 | 51 |
- HTML: 1,275
- PDF: 1,053
- XML: 56
- Total: 2,384
- Supplement: 243
- BibTeX: 51
- EndNote: 51
Total article views: 945 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 12 Jun 2017)
HTML | XML | Total | Supplement | BibTeX | EndNote | |
---|---|---|---|---|---|---|
623 | 309 | 13 | 945 | 152 | 9 | 18 |
- HTML: 623
- PDF: 309
- XML: 13
- Total: 945
- Supplement: 152
- BibTeX: 9
- EndNote: 18
Viewed (geographical distribution)
Total article views: 3,329 (including HTML, PDF, and XML)
Thereof 3,177 with geography defined
and 152 with unknown origin.
Total article views: 2,384 (including HTML, PDF, and XML)
Thereof 2,257 with geography defined
and 127 with unknown origin.
Total article views: 945 (including HTML, PDF, and XML)
Thereof 920 with geography defined
and 25 with unknown origin.
Country | # | Views | % |
---|
Country | # | Views | % |
---|
Country | # | Views | % |
---|
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
1
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
1
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
1
Cited
47 citations as recorded by crossref.
- Depth–Duration–Frequency Relationship Model of Extreme Precipitation in Flood Risk Assessment in the Upper Vistula Basin I. Markiewicz 10.3390/w13233439
- Effect of urbanisation on extreme precipitation based on nonstationary models in the Yangtze River Delta metropolitan region M. Lu et al. 10.1016/j.scitotenv.2019.03.413
- The Effect of Nonstationarity in Rainfall on Urban Flooding Based on Coupling SWMM and MIKE21 L. Yang et al. 10.1007/s11269-020-02522-7
- Nonoverlapping Block Stratified Random Sampling Approach for Assessment of Stationarity R. Teegavarapu & P. Sharma 10.1061/(ASCE)HE.1943-5584.0002098
- Technical guidelines for future intensity–duration–frequency curve estimation in Canada A. Requena et al. 10.1080/07011784.2021.1909501
- Improvement of Extreme Value Modeling for Extreme Rainfall Using Large-Scale Climate Modes and Considering Model Uncertainty H. Kim et al. 10.3390/w14030478
- Nonstationary weather and water extremes: a review of methods for their detection, attribution, and management L. Slater et al. 10.5194/hess-25-3897-2021
- Multivariate Hazard Assessment for Nonstationary Seasonal Flood Extremes Considering Climate Change P. Xu et al. 10.1029/2020JD032780
- Application of the non-stationary peak-over-threshold methods for deriving rainfall extremes from temperature projections O. Lee et al. 10.1016/j.jhydrol.2019.124318
- Updating intensity–duration–frequency curves for urban infrastructure design under a changing environment L. Yan et al. 10.1002/wat2.1519
- Assessing water system vulnerabilities under changing climate conditions using different representations of a hydrological system A. Sharifinejad et al. 10.1080/02626667.2021.2014057
- An ensemble approach for the analysis of extreme rainfall under climate change in Naples (Italy) R. Padulano et al. 10.1002/hyp.13449
- Assessment of temporal probability for rainfall-induced landslides based on nonstationary extreme value analysis H. Kim et al. 10.1016/j.enggeo.2021.106372
- Assessment of non-stationary IDF curves under a changing climate: Case study of different climatic zones in Canada D. Silva et al. 10.1016/j.ejrh.2021.100870
- Convection ‐permitting modeling with regional climate models: Latest developments and next steps P. Lucas‐Picher et al. 10.1002/wcc.731
- Investigation of Trends, Temporal Changes in Intensity-Duration-Frequency (IDF) Curves and Extreme Rainfall Events Clustering at Regional Scale Using 5 min Rainfall Data . Bezak & . Mikoš 10.3390/w11102167
- Development of Monsoonal Rainfall Intensity-Duration-Frequency (IDF) Relationship and Empirical Model for Data-Scarce Situations: The Case of the Central-Western Hills (Panchase Region) of Nepal S. Devkota et al. 10.3390/hydrology5020027
- Stationary hydrological frequency analysis coupled with uncertainty assessment under nonstationary scenarios C. Vidrio-Sahagún et al. 10.1016/j.jhydrol.2020.125725
- Nonstationary bayesian modeling of precipitation extremes in the Beijing-Tianjin-Hebei Region, China X. Song et al. 10.1016/j.atmosres.2020.105006
- Uncertainty of Rate of Change in Korean Future Rainfall Extremes Using Non-Stationary GEV Model J. Seo et al. 10.3390/atmos12020227
- Uncertainty of stationary and nonstationary models for rainfall frequency analysis T. Ouarda et al. 10.1002/joc.6339
- Optimal design of low impact development practices in response to climate change S. Ghodsi et al. 10.1016/j.jhydrol.2019.124266
- An extension of data assimilation into the short-term hydrologic forecast for improved prediction reliability J. Leach & P. Coulibaly 10.1016/j.advwatres.2019.103443
- Will a nonstationary change in extreme precipitation affect dam security in China? H. Huang et al. 10.1016/j.jhydrol.2021.126859
- Estimation of Peak Discharges under Different Rainfall Depth–Duration–Frequency Formulations A. Gioia et al. 10.3390/hydrology8040150
- Flexible and consistent quantile estimation for intensity–duration–frequency curves F. Fauer et al. 10.5194/hess-25-6479-2021
- Addressing uncertainty in extreme rainfall intensity for semi-arid urban regions: case study of Delhi, India R. Chaudhuri & P. Sharma 10.1007/s11069-020-04273-5
- Extreme rainfall events in the Northeastern USA become more frequent with rising temperatures, but their intensity distribution remains stable H. Olafsdottir et al. 10.1175/JCLI-D-20-0938.1
- Web-Based Tool for the Development of Intensity Duration Frequency Curves under Changing Climate at Gauged and Ungauged Locations A. Schardong et al. 10.3390/w12051243
- Incorporation of non-stationarity in precipitation intensity-duration-frequency curves for Kerala, India R. Soumya et al. 10.1088/1755-1315/491/1/012013
- Reducing the uncertainty of time-varying hydrological model parameters using spatial coherence within a hierarchical Bayesian framework Z. Pan et al. 10.1016/j.jhydrol.2019.123927
- Intensity-Duration-Frequency Curves at Ungauged Sites in a Changing Climate for Sustainable Stormwater Networks P. Galiatsatou & C. Iliadis 10.3390/su14031229
- Projected Changes in the Frequency of Peak Flows along the Athabasca River: Sensitivity of Results to Statistical Methods of Analysis Y. Dibike et al. 10.3390/cli7070088
- Pooled frequency analysis for intensity–duration–frequency curve estimation A. Requena et al. 10.1002/hyp.13456
- Bivariate frequency analysis of seasonal runoff series under future climate change M. Li et al. 10.1080/02626667.2020.1817927
- Evaluating the Performance of a Max-Stable Process for Estimating Intensity-Duration-Frequency Curves O. Jurado et al. 10.3390/w12123314
- Time-varying copula and average annual reliability-based nonstationary hazard assessment of extreme rainfall events P. Xu et al. 10.1016/j.jhydrol.2021.126792
- Non‐stationary intensity‐duration‐frequency curves integrating information concerning teleconnections and climate change T. Ouarda et al. 10.1002/joc.5953
- Uncertainty in nonstationary frequency analysis of South Korea's daily rainfall peak over threshold excesses associated with covariates O. Lee et al. 10.5194/hess-24-5077-2020
- Methodology for holistic assessment of grey-green flood mitigation measures for climate change adaptation in urban basins I. Kourtis et al. 10.1016/j.jhydrol.2021.126885
- Evaluating next‐generation intensity–duration–frequency curves for design flood estimates in the snow‐dominated western United States H. Yan et al. 10.1002/hyp.13673
- Propagation of meteorological to hydrological drought for different climate regions in China Y. Ding et al. 10.1016/j.jenvman.2021.111980
- Pluvial flood risk and opportunities for resilience B. Rosenzweig et al. 10.1002/wat2.1302
- A simplified MEV formulation to model extremes emerging from multiple nonstationary underlying processes F. Marra et al. 10.1016/j.advwatres.2019.04.002
- Assessment of future changes in intensity-duration-frequency curves for Southern Ontario using North American (NA)-CORDEX models with nonstationary methods P. Ganguli & P. Coulibaly 10.1016/j.ejrh.2018.12.007
- Temporal change of extreme precipitation intensity–duration–frequency relationships in Thailand N. Yamoat et al. 10.2166/wcc.2021.348
- Bringing realism into a dynamic copula-based non-stationary intensity-duration model R. Vinnarasi & C. Dhanya 10.1016/j.advwatres.2019.06.009
46 citations as recorded by crossref.
- Depth–Duration–Frequency Relationship Model of Extreme Precipitation in Flood Risk Assessment in the Upper Vistula Basin I. Markiewicz 10.3390/w13233439
- Effect of urbanisation on extreme precipitation based on nonstationary models in the Yangtze River Delta metropolitan region M. Lu et al. 10.1016/j.scitotenv.2019.03.413
- The Effect of Nonstationarity in Rainfall on Urban Flooding Based on Coupling SWMM and MIKE21 L. Yang et al. 10.1007/s11269-020-02522-7
- Nonoverlapping Block Stratified Random Sampling Approach for Assessment of Stationarity R. Teegavarapu & P. Sharma 10.1061/(ASCE)HE.1943-5584.0002098
- Technical guidelines for future intensity–duration–frequency curve estimation in Canada A. Requena et al. 10.1080/07011784.2021.1909501
- Improvement of Extreme Value Modeling for Extreme Rainfall Using Large-Scale Climate Modes and Considering Model Uncertainty H. Kim et al. 10.3390/w14030478
- Nonstationary weather and water extremes: a review of methods for their detection, attribution, and management L. Slater et al. 10.5194/hess-25-3897-2021
- Multivariate Hazard Assessment for Nonstationary Seasonal Flood Extremes Considering Climate Change P. Xu et al. 10.1029/2020JD032780
- Application of the non-stationary peak-over-threshold methods for deriving rainfall extremes from temperature projections O. Lee et al. 10.1016/j.jhydrol.2019.124318
- Updating intensity–duration–frequency curves for urban infrastructure design under a changing environment L. Yan et al. 10.1002/wat2.1519
- Assessing water system vulnerabilities under changing climate conditions using different representations of a hydrological system A. Sharifinejad et al. 10.1080/02626667.2021.2014057
- An ensemble approach for the analysis of extreme rainfall under climate change in Naples (Italy) R. Padulano et al. 10.1002/hyp.13449
- Assessment of temporal probability for rainfall-induced landslides based on nonstationary extreme value analysis H. Kim et al. 10.1016/j.enggeo.2021.106372
- Assessment of non-stationary IDF curves under a changing climate: Case study of different climatic zones in Canada D. Silva et al. 10.1016/j.ejrh.2021.100870
- Convection ‐permitting modeling with regional climate models: Latest developments and next steps P. Lucas‐Picher et al. 10.1002/wcc.731
- Investigation of Trends, Temporal Changes in Intensity-Duration-Frequency (IDF) Curves and Extreme Rainfall Events Clustering at Regional Scale Using 5 min Rainfall Data . Bezak & . Mikoš 10.3390/w11102167
- Development of Monsoonal Rainfall Intensity-Duration-Frequency (IDF) Relationship and Empirical Model for Data-Scarce Situations: The Case of the Central-Western Hills (Panchase Region) of Nepal S. Devkota et al. 10.3390/hydrology5020027
- Stationary hydrological frequency analysis coupled with uncertainty assessment under nonstationary scenarios C. Vidrio-Sahagún et al. 10.1016/j.jhydrol.2020.125725
- Nonstationary bayesian modeling of precipitation extremes in the Beijing-Tianjin-Hebei Region, China X. Song et al. 10.1016/j.atmosres.2020.105006
- Uncertainty of Rate of Change in Korean Future Rainfall Extremes Using Non-Stationary GEV Model J. Seo et al. 10.3390/atmos12020227
- Uncertainty of stationary and nonstationary models for rainfall frequency analysis T. Ouarda et al. 10.1002/joc.6339
- Optimal design of low impact development practices in response to climate change S. Ghodsi et al. 10.1016/j.jhydrol.2019.124266
- An extension of data assimilation into the short-term hydrologic forecast for improved prediction reliability J. Leach & P. Coulibaly 10.1016/j.advwatres.2019.103443
- Will a nonstationary change in extreme precipitation affect dam security in China? H. Huang et al. 10.1016/j.jhydrol.2021.126859
- Estimation of Peak Discharges under Different Rainfall Depth–Duration–Frequency Formulations A. Gioia et al. 10.3390/hydrology8040150
- Flexible and consistent quantile estimation for intensity–duration–frequency curves F. Fauer et al. 10.5194/hess-25-6479-2021
- Addressing uncertainty in extreme rainfall intensity for semi-arid urban regions: case study of Delhi, India R. Chaudhuri & P. Sharma 10.1007/s11069-020-04273-5
- Extreme rainfall events in the Northeastern USA become more frequent with rising temperatures, but their intensity distribution remains stable H. Olafsdottir et al. 10.1175/JCLI-D-20-0938.1
- Web-Based Tool for the Development of Intensity Duration Frequency Curves under Changing Climate at Gauged and Ungauged Locations A. Schardong et al. 10.3390/w12051243
- Incorporation of non-stationarity in precipitation intensity-duration-frequency curves for Kerala, India R. Soumya et al. 10.1088/1755-1315/491/1/012013
- Reducing the uncertainty of time-varying hydrological model parameters using spatial coherence within a hierarchical Bayesian framework Z. Pan et al. 10.1016/j.jhydrol.2019.123927
- Intensity-Duration-Frequency Curves at Ungauged Sites in a Changing Climate for Sustainable Stormwater Networks P. Galiatsatou & C. Iliadis 10.3390/su14031229
- Projected Changes in the Frequency of Peak Flows along the Athabasca River: Sensitivity of Results to Statistical Methods of Analysis Y. Dibike et al. 10.3390/cli7070088
- Pooled frequency analysis for intensity–duration–frequency curve estimation A. Requena et al. 10.1002/hyp.13456
- Bivariate frequency analysis of seasonal runoff series under future climate change M. Li et al. 10.1080/02626667.2020.1817927
- Evaluating the Performance of a Max-Stable Process for Estimating Intensity-Duration-Frequency Curves O. Jurado et al. 10.3390/w12123314
- Time-varying copula and average annual reliability-based nonstationary hazard assessment of extreme rainfall events P. Xu et al. 10.1016/j.jhydrol.2021.126792
- Non‐stationary intensity‐duration‐frequency curves integrating information concerning teleconnections and climate change T. Ouarda et al. 10.1002/joc.5953
- Uncertainty in nonstationary frequency analysis of South Korea's daily rainfall peak over threshold excesses associated with covariates O. Lee et al. 10.5194/hess-24-5077-2020
- Methodology for holistic assessment of grey-green flood mitigation measures for climate change adaptation in urban basins I. Kourtis et al. 10.1016/j.jhydrol.2021.126885
- Evaluating next‐generation intensity–duration–frequency curves for design flood estimates in the snow‐dominated western United States H. Yan et al. 10.1002/hyp.13673
- Propagation of meteorological to hydrological drought for different climate regions in China Y. Ding et al. 10.1016/j.jenvman.2021.111980
- Pluvial flood risk and opportunities for resilience B. Rosenzweig et al. 10.1002/wat2.1302
- A simplified MEV formulation to model extremes emerging from multiple nonstationary underlying processes F. Marra et al. 10.1016/j.advwatres.2019.04.002
- Assessment of future changes in intensity-duration-frequency curves for Southern Ontario using North American (NA)-CORDEX models with nonstationary methods P. Ganguli & P. Coulibaly 10.1016/j.ejrh.2018.12.007
- Temporal change of extreme precipitation intensity–duration–frequency relationships in Thailand N. Yamoat et al. 10.2166/wcc.2021.348
1 citations as recorded by crossref.
Saved (final revised paper)
Latest update: 21 Mar 2023
Short summary
Using statistical models, we test whether nonstationary versus stationary models show any significant differences in terms of design storm intensity at different durations across Southern Ontario. We find that detectable nonstationarity in rainfall extremes does not necessarily lead to significant differences in design storm intensity, especially for shorter return periods. An update of 2–44 % is required in current design standards to mitigate the risk of storm-induced urban flooding.
Using statistical models, we test whether nonstationary versus stationary models show any...