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Multivariate analysis of multiscale periodicity in North American annual mean sea level based on wavelet coherence and multiple wavelet coherence
Journal of Water & Climate Change ( IF 2.8 ) Pub Date : 2022-09-01 , DOI: 10.2166/wcc.2022.180
Chao Song 1, 2, 3 , Xiaohong Chen 1, 2, 3
Affiliation  

The relationships between sea levels and single climate indexes have been widely explored. However, sea level is controlled by multiple climate factors simultaneously with differences among places and time scales. Despite this, few studies have addressed the relationships between sea levels and multiple climate indexes. Here, the interrelations between the annual mean sea level (AMSL) and individual climate indexes and combinations of climate indexes were characterized by wavelet coherence (WTC) and multiple wavelet coherence (MWC). The results showed that six climate indexes had a significant correlation with AMSL, among which the Atlantic Multidecadal Oscillation (AMO) had the least significant correlation, but Niño3.4 had the significant correlation. The average significant coherence area (PASC) value for Niño3.4 was 14.03% and its average wavelet coherence (AWC) value was 0.79. By combining climate indexes, the average values of PASC and AWC can be significantly increased. The average PASC and AWC values of the five climate index combinations were the largest, 95.87% and 0.965, respectively, followed by four, three, and two index combinations. A single climate index is not sufficient to explain sea level change in North America. Sea level changes in North America require between three and five climate indexes to explain, depending on the region. By calculating PASC and AWC values, this study provides the possibility to understand the impact of the combined effects of multiple climate indexes on AMSL, is of great help to screen the best predictor of sea level, and provides a new method to reveal the complex mechanism of sea level change.



中文翻译:

基于小波相干性和多小波相干性的北美年平均海平面多尺度周期性多元分析

海平面与单一气候指数之间的关系已被广泛探索。然而,海平面受多种气候因素同时控制,地点和时间尺度存在差异。尽管如此,很少有研究涉及海平面与多个气候指数之间的关系。在这里,年平均海平面(AMSL)与单个气候指数和气候指数组合之间的相互关系用小波相干性(WTC)和多小波相干性(MWC)来表征。结果表明,6个气候指标与AMSL具有显着相关性,其中大西洋多年代际涛动(AMO)相关性最不显着,Niño3.4相关性显着。Niño3.4 的平均显着相干面积 (PASC) 值为 14。03%,其平均小波相干性 (AWC) 值为 0.79。通过结合气候指数,可以显着提高 PASC 和 AWC 的平均值。五个气候指数组合的平均 PASC 和 AWC 值最大,分别为 95.87% 和 0.965,其次是四个、三个和两个指数组合。单一的气候指数不足以解释北美的海平面变化。北美的海平面变化需要三到五个气候指数来解释,具体取决于地区。本研究通过计算PASC和AWC值,为了解多种气候指标的综合影响对AMSL的影响提供了可能,对筛选最佳海平面预测指标有很大帮助,并为揭示复杂机制提供了新方法。海平面变化。

更新日期:2022-09-01
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