Seismic bulletins, with trustworthy phase picks, origin times, and source locations are key for regional seismic studies, such as travel‐time (TT) tomography, attenuation tomography, and anisotropy studies. To lay the groundwork for such studies in Israel, we revised the seismic bulletin of Israel and the surrounding area and obtained a trustworthy TT data set. From the earthquake and explosion bulletins of the Geophysical Institute of Israel, we compiled a starting data set of about 123,000 earthquakes and explosions that occurred during the past 40 yr. After screening out the poorly recorded events, we were left with a data set of ∼38,000 well‐recorded events. We then revised the remaining data set in two consecutive steps. In the first, we reviewed and updated station metadata, including changes in station metadata parameters over time. In the second step, we jointly relocated a list of selected seismic events, using the Bayesian hierarchical location software package (BayesLoc) of Myers et al. (2007) that performs joint relocation of multiple events. We observed striking dissimilarities between the spatial distributions of the newly relocated catalog and the initial locations. Although the depth distribution of the starting catalog is trimodal with peaks at 0, 5, and 10 km, the distribution in this study is unimodal, with a broad peak between 7.5 and 12.5 km. By differencing the observed arrival times and the origin times obtained through relocation with BayesLoc, we obtained a revised TT database that consists of 261,336 Pg, 132,876 Pn, 114,816 Sg, and 60,394 Sn arrivals, from a set of 30,458 jointly relocated seismic sources. We compared prerevision and postrevision TTs as a function of epicentral distance and concluded that the revised data set contains far fewer outliers and inconsistencies than the original data set. The revised TT data set may be used for seismic studies, such as TT tomography, attenuation tomography, and anisotropy studies.

中文翻译：

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以色列地震公报的高质量修订

具有值得信赖的相位选择、起源时间和震源位置的地震公报是区域地震研究的关键，例如走时 (TT) 层析成像、衰减层析成像和各向异性研究。为在以色列开展此类研究奠定基础，我们修订了以色列及周边地区的地震公报，获得了值得信赖的TT数据集。从以色列地球物理研究所的地震和爆炸公报中，我们编制了过去 40 年发生的大约 123,000 次地震和爆炸的起始数据集。在筛选出记录不佳的事件后，我们得到了大约 38,000 个记录良好的事件的数据集。然后我们分两个连续的步骤修改剩余的数据集。首先，我们审查并更新了台站元数据，包括台站元数据参数随时间的变化。在第二步中，我们使用 Myers 等人的贝叶斯分层定位软件包 (BayesLoc) 联合重新定位选定地震事件的列表。(2007) 执行多个事件的联合重定位。我们观察到新重新定位的目录与初始位置的空间分布之间存在显着差异。虽然起始目录的深度分布是三峰的，峰值在 0、5 和 10 公里，但本研究中的分布是单峰的，在 7.5 和 12.5 公里之间有一个宽峰。通过将观测到的到达时间与通过使用 BayesLoc 重定位获得的原点时间进行区分，我们获得了一个修订的 TT 数据库，该数据库由 261,336 个 Pg、132,876 个 Pn、114,816 个 Sg 和 60,394 个 Sn 到达，来自一组 30,458 个联合重定位的震源。我们将修订前和修订后 TT 作为震中距离的函数进行了比较，并得出结论，修订后的数据集包含的异常值和不一致性比原始数据集少得多。修订后的 TT 数据集可用于地震研究，例如 TT 断层扫描、衰减断层扫描和各向异性研究。