Surveys in Geophysics ( IF 4.9 ) Pub Date : 2024-10-01 , DOI: 10.1007/s10712-024-09864-6 Hao Ding, WeiPing Jiang, Wei Luan, JianCheng Li, YuanJin Pan, Zhao Li
Intradecadal changes in GPS displacements have garnered significant attention within the research community; however, the existence of relatively stable intradecadal signals, as well as their characteristics and excitation sources, remains to be further confirmed. This study aims to comprehensively investigate this topic by reviewing relevant existing studies and analyzing over 50 diverse datasets. We first reanalyze two different GPS datasets, and based on those reanalyzed results, we unequivocally validate the existence of at least two intradecadal signals in GPS displacements, a significant ~ 5.9 yr periodic signal (with 4.2 ± 0.95 mm excitation amplitude and a Y2,2 spatial pattern) as some previous studies suggested and a relatively weak ~ 4.8–5.4 yr signal, and we explain why some previous studies cannot detect the ~ 5.9 yr signal or find its actual spatial pattern. Reevaluating the data from the surface air pressure records (and related records), loading displacements, hydrological records, global mean sea level (GMSL), global mean surface temperature (GMST), and various climate indices demonstrate that there are indeed similar 5–7 yr oscillations as previously suggested, but they have clear differences with the ~ 5.9 yr GPS signal. Additionally, the presence of a ~ 4.7–5.3 yr signal in the in situ hydrological records, as well as a ~ 4.5–5.7 yr signal in surface air pressure, contributes to the ~ 4.8–5.4 yr signal observed in the GPS data, thereby influencing the identification of the 5.9 yr signal. The contrasting outcomes derived from hydrological models and in situ hydrological records indicate that the low-frequency components of the hydrological models lack reliability. As for the precise physical mechanism underlying the ~ 5.9 yr GPS signal, although we have eliminated climate changes as potential sources, it is still difficult to deduce a physical mechanism that could reasonably explain it.
中文翻译:
GPS位移中的年代内周期信号及其可能的气候变化影响
GPS 位移的年代内变化引起了研究界的极大关注;但相对稳定的行业内信号的存在及其特征和激励来源还有待进一步证实。本研究旨在通过回顾相关现有研究并分析 50 多个不同的数据集来全面研究这一主题。我们首先重新分析两个不同的 GPS 数据集,并根据这些重新分析的结果,我们明确地验证了 GPS 位移中至少存在两个年代内信号,一个显着的 ~ 5.9 年周期信号(具有 4.2 ± 0.95 mm 激励幅度和Y 2, 2空间模式)正如之前的一些研究所表明的,并且相对较弱的〜4.8-5.4年信号,我们解释了为什么之前的一些研究无法检测到〜5.9年信号或找到其实际的空间模式。重新评估来自地表气压记录(及相关记录)、载荷位移、水文记录、全球平均海平面(GMSL)、全球平均地表温度(GMST)和各种气候指数的数据表明,确实存在类似的5-7 yr 振荡如前所述,但它们与 ~ 5.9 yr GPS 信号有明显差异。此外,原位水文记录中存在约 4.7–5.3 年的信号,以及地表气压中约 4.5–5.7 年的信号,有助于在 GPS 数据中观测到约 4.8–5.4 年的信号,从而影响5.9年信号的识别。水文模型和现场水文记录的对比结果表明,水文模型的低频分量缺乏可靠性。至于其背后的精确物理机制〜5。9年的GPS信号,虽然我们已经排除了气候变化作为潜在来源,但仍然很难推导出可以合理解释它的物理机制。