Estuarine, Coastal and Shelf Science (1997) 44, 285–300
Estuarine, Coastal and Shelf Science (1997) 44, 285–300
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发表时间：
2013
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通讯作者：
E. Nogueira;F. F. Pérèz-F.;A. Ríos
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作者：
E. Nogueira;F. F. Pérèz-F.;A. Ríos
自 1987 年以来，每周两次在维戈河口（西班牙西北部）的固定站监测水文变量，旨在检查变化的时间尺度及其与气象条件的关系。本文分析：（1）Box-Jenkins 传递函数（TF）模型（单输出-多输入）这种线性随机模型在描述系统动态行为方面的优势； (2) Ría 与受伊比利亚沿海上升流影响的该沿海入口自主时间尺度上的气象事件之间的耦合，大约每两周一次。为了实现这些目标，温盐特性被用来表征河口生态系统（输出变量），而风势、流域径流和传入的太阳辐射被视为主要强迫变量（输入变量）。振幅时间序列的使用，源自应用于去季节化气象变量的主成分分析（PCA），也被探索为一组不同的输入变量。
Since 1987, twice weekly, hydrological variables have been monitored at a fixed station in the Ría de Vigo (NW Spain), aiming to examine the time scales of variability and the relationships to meteorological conditions. The present paper analyses: (1) the advantage of Box-Jenkins transfer function (TF) models (single output–multiple input), a type of linear stochastic model, to describe the dynamic behaviour of the system; and (2) the coupling between the Ría and meteorological events at the time scale of autonomy of this coastal inlet affected by the Iberian coastal upwelling, approximately a fortnightly period. In order to achieve these objectives, thermohaline properties have been used to characterize the estuarine ecosystem (output variables), while wind regime, runoff in the drainage basin and incoming solar radiation have been considered as the main forcing variables (input variables). The use of the amplitude time series, derived from principal component analysis (PCA) applied to the deseasonalized meteorological variables, is also explored as a different set of input variables.