GSTDTAP  > 气候变化
DOI10.1002/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
ISSN0899-8418
EISSN1097-0088
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
被引频次:5[WOS]   [WOS记录]     [WOS相关记录]
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
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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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