Denoised ambient noise cross-correlation for a linear array across Chenghai fault

In January 2018, a linear dense array was deployed and operated for approximately one month, crossing the central-to-southern portion of the Chenghai Fault (CHF) (Yang et al., 2020). The array comprised 158 short-period three-component sensors with an inter-station spacing of about 40–50 m, covering a distance of approximately 8 km. Situated beneath the center of the array is the Binchuan Basin. However, due to the low signal-to-noise ratio of surface waves in the ambient noise cross-correlation (ANC) data, the tomographic model based on the raw ANC data was overly smoothed, limiting its ability to resolve detailed lateral variations within the basin or features associated with the underlying CHF. To improve imaging resolution, we apply the three-station-interferometry-based denoising method (Qiu et al., 2021). This denoising process iteratively enhances the SNR of surface wave signals, particularly at high frequencies, and achieves clear convergence after three iterations. The denoised ANC data, along with a Python script demonstrating how to read it, is provided here. References Yang, H., Duan, Y., Song, J., Jiang, X., Tian, X., Yang, W., et al. (2020). Fine Structure of the Chenghai Fault Zone, Yunnan, China, Constrained From Teleseismic Travel Time and Ambient Noise Tomography. Journal of Geophysical Research: Solid Earth, 125(7), 1–14. https://doi.org/10.1029/2020JB019565 Qiu, H., Niu, F., & Qin, L. (2021). Denoising Surface Waves Extracted From Ambient Noise Recorded by 1-D Linear Array Using Three-Station Interferometry of Direct Waves. Journal of Geophysical Research: Solid Earth, 126(8), 1–18. https://doi.org/10.1029/2021JB0217122018年1月，一套线性密集台阵被布设并运行约1个月，横穿澄江断裂（Chenghai Fault, CHF）中南部区域（Yang等，2020）。该台阵包含158个短周期三分量传感器，台站间距约40–50 m，覆盖长度约8 km。台阵中心下方为宾川盆地。然而，由于环境噪声互相关（Ambient Noise Cross-Correlation, ANC）数据中的面波信噪比偏低，基于原始ANC数据得到的层析成像模型过于平滑，限制了其解析盆地内部精细横向变化以及与下伏澄江断裂相关构造特征的能力。 为提升成像分辨率，我们采用了基于三台站干涉法的去噪方法（Qiu等，2021）。该去噪过程可迭代增强面波信号的信噪比，尤其在高频段，并在3次迭代后实现清晰收敛。 本数据集提供了去噪后的ANC数据，以及一段用于演示数据读取方法的Python脚本。 参考文献 Yang, H., Duan, Y., Song, J., Jiang, X., Tian, X., Yang, W. 等. (2020). 中国云南澄江断裂带的精细结构：由远震走时与环境噪声层析成像约束. 《地球物理研究杂志：固体地球》, 125(7), 1–14. https://doi.org/10.1029/2020JB019565 Qiu, H., Niu, F., & Qin, L. (2021). 利用直达波三台站干涉法对一维线性台阵记录的环境噪声提取面波进行去噪. 《地球物理研究杂志：固体地球》, 126(8), 1–18. https://doi.org/10.1029/2021JB021712