Evaluation of empirical relationships between extreme rainfall and daily maximum temperature in Australia
© 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...
| Main Authors: | , , |
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| Format: | Journal Article |
| Published: |
Elsevier BV
2017
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| Online Access: | http://hdl.handle.net/20.500.11937/52396 |
| _version_ | 1848758916979097600 |
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| author | Herath, S. Sarukkalige, Priyantha Ranjan Nguyen, V. |
| author_facet | Herath, S. Sarukkalige, Priyantha Ranjan Nguyen, V. |
| author_sort | Herath, S. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | © 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. |
| first_indexed | 2025-11-14T09:51:36Z |
| format | Journal Article |
| id | curtin-20.500.11937-52396 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T09:51:36Z |
| publishDate | 2017 |
| publisher | Elsevier BV |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-523962017-09-13T15:39:22Z Evaluation of empirical relationships between extreme rainfall and daily maximum temperature in Australia Herath, S. Sarukkalige, Priyantha Ranjan Nguyen, V. © 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. 2017 Journal Article http://hdl.handle.net/20.500.11937/52396 10.1016/j.jhydrol.2017.01.060 Elsevier BV restricted |
| spellingShingle | Herath, S. Sarukkalige, Priyantha Ranjan Nguyen, V. Evaluation of empirical relationships between extreme rainfall and daily maximum temperature in Australia |
| title | Evaluation of empirical relationships between extreme rainfall and daily maximum temperature in Australia |
| title_full | Evaluation of empirical relationships between extreme rainfall and daily maximum temperature in Australia |
| title_fullStr | Evaluation of empirical relationships between extreme rainfall and daily maximum temperature in Australia |
| title_full_unstemmed | Evaluation of empirical relationships between extreme rainfall and daily maximum temperature in Australia |
| title_short | Evaluation of empirical relationships between extreme rainfall and daily maximum temperature in Australia |
| title_sort | evaluation of empirical relationships between extreme rainfall and daily maximum temperature in australia |
| url | http://hdl.handle.net/20.500.11937/52396 |