Articles | Volume 19, issue 12
https://doi.org/10.5194/hess-19-4735-2015
© 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-19-4735-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
03 Dec 2015
Research article |
| 03 Dec 2015
Regime shifts in annual maximum rainfall across Australia – implications for intensity–frequency–duration (IFD) relationships
D. C. Verdon-Kidd
CORRESPONDING AUTHOR
Environmental and Climate Change Research Group, School of Environmental and Life Sciences, University of Newcastle, Callaghan, Australia
A. S. Kiem
Environmental and Climate Change Research Group, School of Environmental and Life Sciences, University of Newcastle, Callaghan, Australia
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Cited
23 citations as recorded by crossref.
- Spatial and Temporal Patterns of the Extreme Precipitation across the Tibetan Plateau (1986–2015) J. Xiong et al. 10.3390/w11071453
- Non-stationarity in extreme rainfalls across Australia L. Jayaweera et al. 10.1016/j.jhydrol.2023.129872
- Large floods in South East Queensland, Australia: Is it valid to assume they occur randomly? G. McMahon & A. Kiem 10.1080/13241583.2018.1446677
- Identification of the non-stationarity of extreme precipitation events and correlations with large-scale ocean-atmospheric circulation patterns: A case study in the Wei River Basin, China S. Liu et al. 10.1016/j.jhydrol.2017.03.012
- Statistical analysis of Indian rainfall and its relationship with the Southern Oscillation Index G. Akhoury & K. Avishek 10.1007/s12517-019-4415-z
- Design rainfall estimation: comparison between GEV and LP3 distributions and at-site and regional estimates E. Hajani & A. Rahman 10.1007/s11069-018-3289-9
- Exploration of Daily Rainfall Intensity Change in South Korea 1900–2010 Using Bias-Corrected ERA-20C D. Kim et al. 10.1061/(ASCE)HE.1943-5584.0001928
- Spatiotemporally varied extreme precipitation events simultaneously controlled by multiple circulation factors in China's Loess Plateau Y. Ren et al. 10.1002/joc.7593
- TIME SERIES TRENDS OF STREAMFLOW AND RAINFALL IN THE SANTO ANTÔNIO RIVER BASIN, BRAZIL F. Ferreira et al. 10.1590/1809-4430-eng.agric.v41n1p47-55/2021
- Influence of ENSO, ENSO Modoki, and the IPO on tropical cyclogenesis: a spatial analysis of the southwest Pacific region A. Magee et al. 10.1002/joc.5070
- Coincidence probability analysis of hydrologic low-flow under the changing environment in the Wei River Basin J. Yang et al. 10.1007/s11069-020-04051-3
- Techniques for assessing water infrastructure for nonstationary extreme events: a review J. Salas et al. 10.1080/02626667.2018.1426858
- A GIS-based procedure for preliminary mapping of pluvial flood risk at metropolitan scale C. Di Salvo et al. 10.1016/j.envsoft.2018.05.020
- Reconstructing a millennial‐scale record of flooding in a single valley setting: the 2011 flood‐affected Lockyer Valley, south‐east Queensland, Australia J. Croke et al. 10.1002/jqs.2919
- The re-greening of east coast Australian rivers: An unprecedented riparian transformation T. Cohen et al. 10.1016/j.scitotenv.2021.151309
- Defining the floodplain in hydrologically‐variable settings: implications for flood risk management J. Croke et al. 10.1002/esp.4014
- Probability Distribution and Risk of the First Occurrence of k Extreme Hydrologic Events J. Salas & J. Obeysekera 10.1061/(ASCE)HE.1943-5584.0001809
- Performance Evaluation of Stormwater Management Systems and Its Impact on Development Costing F. Akhter et al. 10.3390/w12020375
- Complexity confers stability: Climate variability, vegetation response and sand transport on longitudinal sand dunes in Australia’s deserts P. Hesse et al. 10.1016/j.aeolia.2017.02.003
- Regional maximum rainfall analysis using L-moments at the Titicaca Lake drainage, Peru C. Fernández-Palomino & W. Lavado-Casimiro 10.1007/s00704-016-1845-3
- Estimating the exceedance probability of extreme rainfalls up to the probable maximum precipitation R. Nathan et al. 10.1016/j.jhydrol.2016.10.044
- Sensitivity of Australian roof drainage structures to design rainfall variability and climatic change L. Verstraten et al. 10.1016/j.buildenv.2019.106230
- Contrasting response of rainfall extremes to increase in surface air and dewpoint temperatures at urban locations in India H. Ali & V. Mishra 10.1038/s41598-017-01306-1
19 citations as recorded by crossref.
- Spatial and Temporal Patterns of the Extreme Precipitation across the Tibetan Plateau (1986–2015) J. Xiong et al. 10.3390/w11071453
- Non-stationarity in extreme rainfalls across Australia L. Jayaweera et al. 10.1016/j.jhydrol.2023.129872
- Large floods in South East Queensland, Australia: Is it valid to assume they occur randomly? G. McMahon & A. Kiem 10.1080/13241583.2018.1446677
- Identification of the non-stationarity of extreme precipitation events and correlations with large-scale ocean-atmospheric circulation patterns: A case study in the Wei River Basin, China S. Liu et al. 10.1016/j.jhydrol.2017.03.012
- Statistical analysis of Indian rainfall and its relationship with the Southern Oscillation Index G. Akhoury & K. Avishek 10.1007/s12517-019-4415-z
- Design rainfall estimation: comparison between GEV and LP3 distributions and at-site and regional estimates E. Hajani & A. Rahman 10.1007/s11069-018-3289-9
- Exploration of Daily Rainfall Intensity Change in South Korea 1900–2010 Using Bias-Corrected ERA-20C D. Kim et al. 10.1061/(ASCE)HE.1943-5584.0001928
- Spatiotemporally varied extreme precipitation events simultaneously controlled by multiple circulation factors in China's Loess Plateau Y. Ren et al. 10.1002/joc.7593
- TIME SERIES TRENDS OF STREAMFLOW AND RAINFALL IN THE SANTO ANTÔNIO RIVER BASIN, BRAZIL F. Ferreira et al. 10.1590/1809-4430-eng.agric.v41n1p47-55/2021
- Influence of ENSO, ENSO Modoki, and the IPO on tropical cyclogenesis: a spatial analysis of the southwest Pacific region A. Magee et al. 10.1002/joc.5070
- Coincidence probability analysis of hydrologic low-flow under the changing environment in the Wei River Basin J. Yang et al. 10.1007/s11069-020-04051-3
- Techniques for assessing water infrastructure for nonstationary extreme events: a review J. Salas et al. 10.1080/02626667.2018.1426858
- A GIS-based procedure for preliminary mapping of pluvial flood risk at metropolitan scale C. Di Salvo et al. 10.1016/j.envsoft.2018.05.020
- Reconstructing a millennial‐scale record of flooding in a single valley setting: the 2011 flood‐affected Lockyer Valley, south‐east Queensland, Australia J. Croke et al. 10.1002/jqs.2919
- The re-greening of east coast Australian rivers: An unprecedented riparian transformation T. Cohen et al. 10.1016/j.scitotenv.2021.151309
- Defining the floodplain in hydrologically‐variable settings: implications for flood risk management J. Croke et al. 10.1002/esp.4014
- Probability Distribution and Risk of the First Occurrence of k Extreme Hydrologic Events J. Salas & J. Obeysekera 10.1061/(ASCE)HE.1943-5584.0001809
- Performance Evaluation of Stormwater Management Systems and Its Impact on Development Costing F. Akhter et al. 10.3390/w12020375
- Complexity confers stability: Climate variability, vegetation response and sand transport on longitudinal sand dunes in Australia’s deserts P. Hesse et al. 10.1016/j.aeolia.2017.02.003
4 citations as recorded by crossref.
- Regional maximum rainfall analysis using L-moments at the Titicaca Lake drainage, Peru C. Fernández-Palomino & W. Lavado-Casimiro 10.1007/s00704-016-1845-3
- Estimating the exceedance probability of extreme rainfalls up to the probable maximum precipitation R. Nathan et al. 10.1016/j.jhydrol.2016.10.044
- Sensitivity of Australian roof drainage structures to design rainfall variability and climatic change L. Verstraten et al. 10.1016/j.buildenv.2019.106230
- Contrasting response of rainfall extremes to increase in surface air and dewpoint temperatures at urban locations in India H. Ali & V. Mishra 10.1038/s41598-017-01306-1
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Latest update: 18 Apr 2024
Short summary
Rainfall intensity-frequency-duration (IFD) relationships are required for the design and planning of water supply and management systems around the world. Currently IFD information is based on the "stationary climate assumption". However, this paper provides evidence of regime shifts in annual maxima rainfall time series using 96 daily rainfall stations and 66 sub-daily rainfall stations across Australia. Importantly, current IFD relationships may under- or overestimate the design rainfall.
Rainfall intensity-frequency-duration (IFD) relationships are required for the design and...
