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Space-time analysis of sea level in the North Atlantic from TOPEX/Poseidon satellite altimetry

机译:来自Topex / Poseidon Satellite Altimetry北大西洋海平面的时空分析

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Spatial and temporal sea level variability in the North Atlantic is investigated from Topex/Poseidon (T/P) altimetry data. Time series of sea level anomalies on a regular 5° grid are analysed. Non-linear denoising through thresholding in the wavelet transform domain is carried out for each series in order to remove noise while preserving non-smooth features. Principal Component Analysis (PCA) is used to obtain a spatio-temporal description of the sea level field. To avoid modal mixing and improve interpretation of the principal modes, PCA is implemented separately for seasonal and trend components of the sea level field obtained from a wavelet-based multiresolution analysis. The leading pattern of the seasonal field reflects the dominance of a stable annual cycle over the study area and the change in the seasonal regime approaching the equator with contribution of the semi-annual cycle and phase-shift in the annual cycle in the tropical Atlantic. The leading pattern of the trend field is a broad spatial pattern associated with North Atlantic Oscillation (NAO), reflecting the influence of atmospheric conditions on interannual sea level variability.
机译:从Topex / Poseidon(T / P)的Altimetry数据研究了北大西洋的空间和时间海平面变异性。分析了常规5°网格上的海平面异常的时间序列。每个系列执行小波变换域中的阈值处理的非线性去噪,以便在保持非平滑功能的同时去除噪声。主要成分分析(PCA)用于获得海平面的时空描述。为避免模态混合和改善主模式的解释,PCA分别用于从基于小波的多分辨率分析获得的海平面场的季节性和趋势分量。季节性领域的领先模式反映了在研究区的稳定年度周期的主导地位,以及在热带大西洋的年度周期中的半年周期和阶段转移的季节性政权的变化。趋势领域的领先模式是与北大西洋振荡(NAO)相关的广泛空间模式,反映了大气条件对持久性海平面变异性的影响。

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