Articles | Volume 28, issue 5
https://doi.org/10.5194/hess-28-1251-2024
https://doi.org/10.5194/hess-28-1251-2024
Review article
 | 
15 Mar 2024
Review article |  | 15 Mar 2024

A systematic review of climate change science relevant to Australian design flood estimation

Conrad Wasko, Seth Westra, Rory Nathan, Acacia Pepler, Timothy H. Raupach, Andrew Dowdy, Fiona Johnson, Michelle Ho, Kathleen L. McInnes, Doerte Jakob, Jason Evans, Gabriele Villarini, and Hayley J. Fowler

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Cited articles

Afzali-Gorouh, Z., Faridhosseini, A., Bakhtiari, B., Mosaedi, A., and Salehnia, N.: Monitoring and projection of climate change impact on 24-h probable maximum precipitation in the Southeast of Caspian Sea, Nat. Hazards, 114, 77–99, https://doi.org/10.1007/s11069-022-05380-1, 2022. 
Agilan, V. and Umamahesh, N. V.: Detection and attribution of non-stationarity in intensity and frequency of daily and 4-h extreme rainfall of Hyderabad, India, J. Hydrol., 530, 677–697, https://doi.org/10.1016/j.jhydrol.2015.10.028, 2015. 
Agilan, V. and Umamahesh, N. V.: What are the best covariates for developing non-stationary rainfall Intensity–Duration–Frequency relationship?, Adv. Water Resour., 101, 11–22, https://doi.org/10.1016/j.advwatres.2016.12.016, 2017. 
Ahmed, A., Yildirim, G., Haddad, K., and Rahman, A.: Regional Flood Frequency Analysis: A Bibliometric Overview, Water (Switzerland), 15, 658, https://doi.org/10.3390/w15091658, 2023. 
Alexander, L. V. and Arblaster, J. M.: Historical and projected trends in temperature and precipitation extremes in Australia in observations and CMIP5, Weather Clim. Extrem., 15, 34–56, https://doi.org/10.1016/j.wace.2017.02.001, 2017. 
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Short summary
In response to flood risk, design flood estimation is a cornerstone of infrastructure design and emergency response planning, but design flood estimation guidance under climate change is still in its infancy. We perform the first published systematic review of the impact of climate change on design flood estimation and conduct a meta-analysis to provide quantitative estimates of possible future changes in extreme rainfall.