Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/72142
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Type: Journal article
Title: Impact of the El Niño-Southern Oscillation, Indian Ocean Dipole, and Southern Annular Mode on Daily to Subdaily Rainfall Characteristics in East Australia
Other Titles: Impact of the El Nino-Southern Oscillation, Indian Ocean Dipole, and Southern Annular Mode on Daily to Subdaily Rainfall Characteristics in East Australia
Author: Pui, A.
Sharma, A.
Santoso, A.
Westra, S.
Citation: Monthly Weather Review, 2012; 140(5):1665-1682
Publisher: Amer Meteorological Soc
Issue Date: 2012
ISSN: 0027-0644
1520-0493
Statement of
Responsibility: 
Alexander Pui, Ashish Sharma, Agus Santoso and Seth Westra
Abstract: The relationship between seasonal aggregate rainfall and large-scale climate modes, particularly the El Niño–Southern Oscillation (ENSO), has been the subject of a significant and ongoing research effort. However, relatively little is known about how the character of individual rainfall events varies as a function of each of these climate modes. This study investigates the change in rainfall occurrence, intensity, and storm interevent time at both daily and subdaily time scales in east Australia, as a function of indices for ENSO, the Indian Ocean dipole (IOD), and the southern annular mode (SAM), with a focus on the cool season months. Long-record datasets have been used to sample a large variety of climate events for better statistical significance. Results using both the daily and subdaily rainfall datasets consistently show that it is the occurrence of rainfall events, rather than the average intensity of rainfall during the events, which is most strongly influenced by each of the climate modes. This is shown to be most likely associated with changes to the time between wet spells. Furthermore, it is found that despite the recent attention in the research literature on other climate modes, ENSO remains the leading driver of rainfall variability over east Australia, particularly farther inland during the winter and spring seasons. These results have important implications for how water resources are managed, as well as how the implications of large-scale climate modes are included in rainfall models to best capture interannual and longer-scale variability.
Keywords: Atmosphere-ocean interaction; climate variability; ENSO; regression analysis
Rights: © 2012 American Meteorological Society
RMID: 0020119122
DOI: 10.1175/MWR-D-11-00238.1
Appears in Collections:Civil and Environmental Engineering publications
Environment Institute publications

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