While the receiver function technique has been successfully applied to high‐resolution imaging of sharp discontinuities within and across the lithosphere, it suffers from severe limitations when applied to seafloor seismic recordings. This is because the water and sediment layer could strongly influence the receiver function traces, making detection and interpretation of crust and mantle layering difficult. This effect is often referred to as the singing phenomena in marine environments. We demonstrate, using analytical and synthetic modeling, that this singing effect can be reversed using a selective dereverberation filter tuned to match the elastic property of each layer. We apply the dereverberation filter to high‐quality earthquake records collected from the NoMelt seismic array deployed on normal, mature Pacific seafloor. An appropriate filter designed using the elastic properties of the underlying sediments, obtained from prior studies, greatly improves the detection of Ps conversions from the Moho (∼8.6 km) and from a sharp discontinuity (<∼5 km) across the lithosphere asthenosphere transition (∼72 km). Sensitivity tests show that the dereverberation filter is mostly sensitive to the two‐way travel time of the shear wave in sediment and is robust to seismic noise and small errors in the sediment properties. Our analysis suggests that selectively filtering out the sediment reverberations from ocean seismic data could make inferences on subsurface structure more robust. We expect that this study will enable high‐resolution receiver function imaging of the oceanic plate across the growing ocean bottom seismic arrays being deployed in the global oceans.

中文翻译：

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潜艇接收器功能上泥沙混响的签名和消除

尽管接收器功能技术已成功地应用于岩石圈内和整个岩石圈的不连续性的高分辨率成像，但是当应用于海底地震记录时，它受到了严重的限制。这是因为水和沉积物层可能强烈影响接收器的功能轨迹，从而使地壳和地幔分层的检测和解释变得困难。这种效应通常被称为海洋环境中的歌唱现象。我们通过分析和综合建模证明，可以使用经调整以匹配每一层弹性特性的选择性去混响滤波器来逆转这种歌唱效果。我们将混响过滤器应用于从正常，成熟的太平洋海底部署的NoMelt地震阵列收集的高质量地震记录。根据先前研究获得的，利用基础沉积物的弹性特性设计的合适过滤器，可以极大地改善对Moho（〜8.6 km）和整个岩石圈软流圈过渡（<〜5 km）的不连续性（<〜5 km）的Ps转换的探测（约72公里）。灵敏度测试表明，去混响滤波器对泥沙中剪切波的双向传播时间最敏感，并且对地震噪声和泥沙特性的小误差具有鲁棒性。我们的分析表明，有选择地从海洋地震数据中滤除沉积物的混响可以使对地下结构的推断更加可靠。我们希望这项研究将能够对全球海洋中正在部署的不断增长的海底地震阵列进行高分辨率的洋板块接收器成像。