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dc.contributor.authorHerath, S.
dc.contributor.authorSarukkalige, Priyantha Ranjan
dc.contributor.authorNguyen, V.
dc.date.accessioned2017-04-28T13:58:37Z
dc.date.available2017-04-28T13:58:37Z
dc.date.created2017-04-28T09:06:04Z
dc.date.issued2017
dc.identifier.citationHerath, S. and Sarukkalige, P.R. and Nguyen, V. 2017. Evaluation of empirical relationships between extreme rainfall and daily maximum temperature in Australia. Journal of Hydrology.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/52396
dc.identifier.doi10.1016/j.jhydrol.2017.01.060
dc.description.abstract

© 2017 Elsevier B.V.Understanding the relationships between extreme daily and sub-daily rainfall events and their governing factors is important in order to analyse the properties of extreme rainfall events in a changing climate. Atmospheric temperature is one of the dominant climate variables which has a strong relationship with extreme rainfall events. In this study, a temperature-rainfall binning technique is used to evaluate the dependency of extreme rainfall on daily maximum temperature. The Clausius-Clapeyron (C-C) relation was found to describe the relationship between daily maximum temperature and a range of rainfall durations from 6. min up to 24. h for seven Australian weather stations, the stations being located in Adelaide, Brisbane, Canberra, Darwin, Melbourne, Perth and Sydney. The analysis shows that the rainfall - temperature scaling varies with location, temperature and rainfall duration. The Darwin Airport station shows a negative scaling relationship, while the other six stations show a positive relationship. To identify the trend in scaling relationship over time the same analysis is conducted using data covering 10. year periods. Results indicate that the dependency of extreme rainfall on temperature also varies with the analysis period. Further, this dependency shows an increasing trend for more extreme short duration rainfall and a decreasing trend for average long duration rainfall events at most stations. Seasonal variations of the scale changing trends were analysed by categorizing the summer and autumn seasons in one group and the winter and spring seasons in another group. Most of 99th percentile of 6. min, 1. h and 24. h rain durations at Perth, Melbourne and Sydney stations show increasing trend for both groups while Adelaide and Darwin show decreasing trend. Furthermore, majority of scaling trend of 50th percentile are decreasing for both groups.

dc.publisherElsevier BV
dc.titleEvaluation of empirical relationships between extreme rainfall and daily maximum temperature in Australia
dc.typeJournal Article
dcterms.source.issn0022-1694
dcterms.source.titleJournal of Hydrology
curtin.departmentDepartment of Civil Engineering
curtin.accessStatusFulltext not available


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