Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1016/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
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ISSN | 0169-8095 |
EISSN | 1873-2895 |
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 |
引用统计 | |
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 |
推荐引用方式 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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