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Factors driving bottom salinity variability in the Chesapeake Bay

机译:切萨皮克湾海底盐度变异性的驱动因素

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The long-term variability of bottom salinity in the Chesapeake Bay is examined using observations from 1985 to 2004. Simple linear regression analysis based on annual mean data shows that the bottom salinity is significantly correlated with both the Susquehanna River discharge and the Gulf Stream (GS) index, which represents shelf and slope water salinity. This suggests that local forcings as well as external processes affect the variation of bottom salinity on interannual to decadal time scales. Empirical orthogonal function (EOF) analysis is used to extract patterns among 21 sampling stations along the bay. The first seven EOF modes explain approximately 85% of total variance, and consequently they are combined to represent the variability of bottom salinity anomaly in the bay. The wavelet transform of the bottom salinity anomaly reveals significant areas centered at the periods of 2 and 7.5 years, which is consistent with the results from Fourier spectral analysis. The significant powers in the bottom salinity anomaly exhibit spectral correspondences to the wavelet power spectra of both the river discharge and the GS index, suggesting possible connections between them. Wavelet coherence is employed to determine whether relationship in power spectra between two time series is statistically significant. Our results clearly demonstrate that the interannual variability of the bottom salinity is forced by the freshwater discharge, and the quasi-decadal variability is associated with shelf-slope water condition through horizontal exchange. No evidence is found to indicate that there is influence of the El Nino Southern Oscillation (ENSO) on the variability of the river discharge, but the North Atlantic Oscillation (NAO) may be related to it at decadal or longer time scales.
机译:切萨皮克湾底部盐度的长期变化使用1985年至2004年的观测数据进行检验。基于年均数据的简单线性回归分析显示,底部盐度与萨斯奎哈纳河流量和墨西哥湾流(GS)均显着相关。 )指数,代表架子和斜坡的水盐度。这表明本地强迫和外部过程会影响年际至年代际时间尺度上底部盐度的变化。经验正交函数(EOF)分析用于提取沿海湾的21个采样站之间的模式。前七个EOF模式解释了大约85%的总方差,因此将它们组合起来以表示海湾底部盐度异常的变化。底部盐度异常的小波变换揭示了以2年和7.5年为中心的重要区域,这与傅里叶光谱分析的结果一致。底部盐度异常中的显着功率与河流流量和GS指数的小波功率谱具有频谱对应关系,表明它们之间可能存在联系。小波相干性用于确定两个时间序列之间的功率谱之间的关系在统计上是否有意义。我们的结果清楚地表明,底部盐度的年际变化是由淡水排放引起的,准年代际变化与通过水平交换的陆架坡水条件有关。没有证据表明厄尔尼诺南方涛动(ENSO)对河流流量的变化有影响,但是北大西洋涛动(NAO)可能与年代际或更长时间有关。

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