GSTDTAP  > 地球科学
DOI10.1016/j.atmosres.2018.11.006
Granger causal predictors for maximum rainfall in Australia
Kamruzzaman, Mohammad1; Beecham, Simon1; Metcalfe, Andrew V.2; Cai, Wenju3
2019-04-01
发表期刊ATMOSPHERIC RESEARCH
ISSN0169-8095
EISSN1873-2895
出版年2019
卷号218页码:1-11
文章类型Article
语种英语
国家Australia
英文摘要

We describe a novel approach for investigating changes in regional rainfall patterns from short records and for identifying potential causes of these changes. We focus on the predictive potential of past values of the Indian Ocean Dipole (IOD), the Southern Oscillation Index (SOI), and their interactions on rainfall in South Australia and Western Australia. A measure of annual rainfall anomaly based on a signed version of the Hotelling statistic, is proposed. This modified statistic is calculated for rainfall anomaly at 7 sites in South Australia over a period of 59 years. Various plots of rainfall anomaly provide evidence of outlying values and increasing variability over the period. There is no evidence that the rainfall anomaly is associated with past values of temperature or the Southern Oscillation Index or their interaction. In contrast, there is evidence that past values of the IOD have Granger predictive value for rainfall and this is evidence for a Granger causal relationship, A physical explanation for the influence of the IOD on rainfall in South and West Australia is presented.


英文关键词Granger causal Rainfall anomaly Indian Ocean Dipole Southern Oscillation Index
领域地球科学
收录类别SCI-E
WOS记录号WOS:000457814600001
WOS关键词INDIAN-OCEAN DIPOLE ; NINO-SOUTHERN OSCILLATION ; EL-NINO ; VARIABILITY ; MONSOON ; IMPACTS
WOS类目Meteorology & Atmospheric Sciences
WOS研究方向Meteorology & Atmospheric Sciences
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文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/15246
专题地球科学
作者单位1.Univ South Australia, Sch Nat & Built Environm, Ctr Water Management & Reuse, Mawson Lakes, SA 5095, Australia;
2.Univ Adelaide, Sch Math Sci, Adelaide, SA 5000, Australia;
3.CSIRO Marine & Atmospher Res, Aspendale, Vic 3195, Australia
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GB/T 7714
Kamruzzaman, Mohammad,Beecham, Simon,Metcalfe, Andrew V.,et al. Granger causal predictors for maximum rainfall in Australia[J]. ATMOSPHERIC RESEARCH,2019,218:1-11.
APA Kamruzzaman, Mohammad,Beecham, Simon,Metcalfe, Andrew V.,&Cai, Wenju.(2019).Granger causal predictors for maximum rainfall in Australia.ATMOSPHERIC RESEARCH,218,1-11.
MLA Kamruzzaman, Mohammad,et al."Granger causal predictors for maximum rainfall in Australia".ATMOSPHERIC RESEARCH 218(2019):1-11.
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