Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1002/joc.6107 |
Identifying strong signals between low-frequency climate oscillations and annual precipitation using correlation analysis | |
Giovannettone, Jason1; Zhang, Yu2 | |
2019-10-01 | |
发表期刊 | INTERNATIONAL JOURNAL OF CLIMATOLOGY
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ISSN | 0899-8418 |
EISSN | 1097-0088 |
出版年 | 2019 |
卷号 | 39期号:12页码:4883-4894 |
文章类型 | Article |
语种 | 英语 |
国家 | USA |
英文摘要 | Long-term changes in precipitation in California and North and South Carolina are correlated to low-frequency oscillations of several hydroclimate indices (HCIs) through correlation analysis that utilizes longer sliding window sizes compared to previous studies to reduce higher-frequency noise in each time series. HCIs that are considered include the El Nino/Southern Oscillation (ENSO), the Madden-Julian Oscillation (MJO), the North Atlantic Oscillation, the Pacific-Decadal Oscillation, among others. Multi-year accumulations of precipitation at several point locations were correlated to these HCIs temporally averaged over the same period. The sliding window size, lag time, and beginning month were varied to optimize the correlation for each site and HCI; a 60-month window size and 12-month lag time were found to result in the highest correlation. Correlation strength was characterized by the Pearson's r statistic, while correlation significance was estimated through a permutation experiment that employs a bootstrapping technique, resulting in a p-value between 0 and 1. Using a 60-month sliding window size and 12-month lag time, it was found that the MJO exhibited the strongest and the most significant correlation with accumulated precipitation throughout California, whereas similar correlation was found with ENSO throughout the Carolinas; correlation strength exceeded a Pearson's r of .80, while correlation significance was p < .05 at several sites. Optimal beginning months ranged from December to March for a majority of sites. This study underscores the potential of low-frequency climate oscillations that manifest themselves in the long-range dependence of precipitation on tropical disturbances. |
英文关键词 | climate variability ENSO hydroclimate indices low-frequency oscillations MJO precipitation |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000489003100021 |
WOS关键词 | MADDEN-JULIAN OSCILLATION ; CONTIGUOUS UNITED-STATES ; RAINFALL VARIABILITY ; EL-NINO ; CALIFORNIA RAINFALL ; AUSTRALIAN RAINFALL ; ATMOSPHERIC RIVERS ; SUMMER RAINFALL ; ENSO ; TEMPERATURE |
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/187408 |
专题 | 气候变化 |
作者单位 | 1.HydroMetriks, Res, Silver Spring, MD 20910 USA; 2.Univ Texas Arlington, Dept Civil Engn, Arlington, TX 76019 USA |
推荐引用方式 GB/T 7714 | Giovannettone, Jason,Zhang, Yu. Identifying strong signals between low-frequency climate oscillations and annual precipitation using correlation analysis[J]. INTERNATIONAL JOURNAL OF CLIMATOLOGY,2019,39(12):4883-4894. |
APA | Giovannettone, Jason,&Zhang, Yu.(2019).Identifying strong signals between low-frequency climate oscillations and annual precipitation using correlation analysis.INTERNATIONAL JOURNAL OF CLIMATOLOGY,39(12),4883-4894. |
MLA | Giovannettone, Jason,et al."Identifying strong signals between low-frequency climate oscillations and annual precipitation using correlation analysis".INTERNATIONAL JOURNAL OF CLIMATOLOGY 39.12(2019):4883-4894. |
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