Influence of climate drivers on variability and trends in seasonal rainfall in the Onkaparinga catchment in South Australia: a wavelet approach
Paper
Paper/Presentation Title | Influence of climate drivers on variability and trends in |
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Presentation Type | Paper |
Authors | Rashid, Md Mamunur (Author), Beecham, Simon (Author) and Chowdhury, Rezaul Kabir (Author) |
Journal or Proceedings Title | Proceedings of the 13th International Conference on Urban Drainage (ICUD 2014) |
Number of Pages | 8 |
Year | 2014 |
Place of Publication | Malaysia |
Digital Object Identifier (DOI) | https://doi.org/10.13140/2.1.3527.5203 |
Web Address (URL) of Paper | https://www.researchgate.net/publication/267695003_Influence_of_climate_drivers_on_variability_and_trends_in_seasonal_rainfall_in_the_Onkaparinga_catchment_in_South_Australia_A_wavelet_approach |
Conference/Event | 13th International Conference on Urban Drainage (ICUD 2014) |
Event Details | Rank A A A A |
Event Details | 13th International Conference on Urban Drainage (ICUD 2014) Parent International Conference on Urban Drainage Delivery In person Event Date 07 to end of 12 Sep 2014 Event Location Sarawak, Malaysia |
Abstract | Understanding the influence of climate drivers on the variability and trends of rainfall is useful for rainfall modelling. Previous research studies have identified various climate drivers associated with the variability of rainfall in Australia. Most of these studies have used traditional correlation techniques for this purpose, while in this study a relatively new technique termed the square wavelet coherence (WTC) has been used to identify the most influencing climate drivers for seasonal rainfall in the Onkaparinga catchment in South Australia. Moreover, the sequential Mann-Kendall test was used to assess the changes of trend over the period 1960 to 2010. The Southern Oscillation Index (SOI), Dipole Mode Index (DMI) and Niño3.4 were observed to be significantly associated with seasonal rainfall. The influence of climate drivers on rainfall variability varies with season, time and periodicity. For example, the wavelet coherence between SOI and winter rainfall indicates 2-to 3-year co-variability over the periods 1960 to 1985 and 1995 to 2010. For spring rainfall, 4- to 7-year fluctuations were significantly (at the 5% level) correlated with the DMI over the periods 1960 to 1980 and 2000 to 2010. This study shows that there is a strong non-stationary relationship between rainfall and climate drivers and these findings will be useful for understanding the non-stationary relationship between seasonal rainfall and climate drivers and hopefully will also help in stochastic rainfall generation and in the development of statistical downscaling models. |
Keywords | climate driver, El Niño Southern Oscillation (ENSO), non-stationarity, continuous wavelet transforms, square wavelet coherence |
ANZSRC Field of Research 2020 | 400513. Water resources engineering |
Byline Affiliations | University of South Australia |
United Arab Emirates University, United Arab Emirates | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q4vv8/influence-of-climate-drivers-on-variability-and-trends-in-seasonal-rainfall-in-the-onkaparinga-catchment-in-south-australia-a-wavelet-approach
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