Impact of the El Nino-Southern Oscillation, Indian Ocean Dipole, and Southern Annular Mode on Daily to Subdaily Rainfall Characteristics in East Australia

被引:53
|
作者
Pui, Alexander [1 ]
Sharma, Ashish [1 ]
Santoso, Agus [2 ]
Westra, Seth [3 ]
机构
[1] Univ New S Wales, Sch Civil & Environm Engn, Sydney, NSW 2032, Australia
[2] Univ New S Wales, Climate Change Res Ctr, Sydney, NSW 2032, Australia
[3] Univ Adelaide, Sch Civil Environm & Min Engn, Adelaide, SA, Australia
基金
澳大利亚研究理事会;
关键词
SEA-SURFACE TEMPERATURE; INTERANNUAL VARIABILITY; SOUTHEASTERN AUSTRALIA; LA-NINA; ENSO; PRECIPITATION; PATTERNS; CLIMATE; EVENTS; EXTREMES;
D O I
10.1175/MWR-D-11-00238.1
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
The relationship between seasonal aggregate rainfall and large-scale climate modes, particularly the El Nino-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.
引用
收藏
页码:1665 / 1682
页数:18
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