Iteration Empirical Mode Decomposition to reduce the north-south striping noise in GRACE post-processing

Zhao Wu
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Abstract

Considering that the traditional EMD method cannot be used to sufficiently extract true geophysical signals during GRACE time-varying gravity field postprocessing, a novel iterative empirical mode decomposition (EMD) processing strategy was proposed. The proposed iterative EMD method fully considers the inadequacy of the traditional EMD method in extracting geophysical signals and filtering noise. In this research, a 14-yr spherical harmonic (SH) time series of GRACE CSR RL06 data truncated to degree and order 60 was analysed by the iterative EMD method, and the results were compared with those of the traditional EMD method. To gain insight into the extracted signals, we analysed them from two perspectives: the spectral domain and the spatial domain. The results showed that the correlation coefficients between the filtered SH coefficients obtained by the iterative EMD method and the original SH coefficients are lower than those obtained by the traditional EMD method; for example, the correlation coefficients of C 12,12 and C 60,60 were 0.95 and 0.88 and 0.72 and 0.58, respectively. The spatial domain results indicated that compared with the traditional EMD method, the iterative EMD method could effectively retain the signal intensity while filtering north ‒ south stripe noise. Moreover, to evaluate the noise filtering efficiency, the ratios of the latitude-weighted RMS over land and ocean were adopted, and the mean RMS ratios for all available months obtained via the iterative and traditional EMD methods were 3.54 and 3.34, respectively, representing a relative improvement of 6.17 %. Finally, to verify the accuracy of the iterative EMD method in extracting geophysical signals, two river basins were analysed via comprehensive comparison with GRACE mascon data, and the results showed that the estimated regional mean mass change series obtained via the iterative EMD method is closer to that obtained from the GRACE mascon data. Thus, it can be concluded that the iterative EMD method can be employed to effectively suppress noise and more accurately extract real geophysical signals relative to the traditional EMD method.
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迭代经验模式分解以减少 GRACE 后处理中的南北条纹噪声
考虑到在 GRACE 时变重力场后处理过程中,传统的 EMD 方法无法充分提取真实的地球物理信号,因此提出了一种新颖的迭代经验模式分解(EMD)处理策略。所提出的迭代 EMD 方法充分考虑了传统 EMD 方法在提取地球物理信号和过滤噪声方面的不足。在这项研究中,利用迭代 EMD 方法分析了 GRACE CSR RL06 数据截断到度和阶 60 的 14 年球面谐波(SH)时间序列,并将结果与传统 EMD 方法进行了比较。为了深入了解提取的信号,我们从两个角度对其进行了分析:频谱域和空间域。结果表明,迭代 EMD 方法得到的滤波 SH 系数与原始 SH 系数之间的相关系数低于传统 EMD 方法得到的相关系数;例如,C 12,12 和 C 60,60 的相关系数分别为 0.95 和 0.88 以及 0.72 和 0.58。空间域结果表明,与传统的 EMD 方法相比,迭代 EMD 方法在过滤南北条纹噪声的同时,还能有效地保留信号强度。此外,为了评估噪声过滤效率,采用了陆地和海洋的纬度加权有效值比,迭代式 EMD 方法和传统 EMD 方法得到的所有可用月份的平均有效值比分别为 3.54 和 3.34,相对提高了 6.17%。最后,为了验证迭代 EMD 方法在提取地球物理信号方面的准确性,通过与 GRACE mascon 数据进行综合比较,对两个流域进行了分析,结果表明,通过迭代 EMD 方法得到的区域平均质量变化序列估计值更接近于从 GRACE mascon 数据中得到的估计值。因此,可以得出结论,相对于传统的 EMD 方法,迭代 EMD 方法可以有效抑制噪声,更准确地提取真实的地球物理信号。
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