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首页> 外文期刊>Pure and Applied Geophysics >The Temporal Morphology of Infrasound Propagation
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The Temporal Morphology of Infrasound Propagation

机译：次声传播的时间形态

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Expert knowledge suggests that the performance of automated infrasound event association and source location algorithms could be greatly improved by the ability to continually update station travel-time curves to properly account for the hourly, daily, and seasonal changes of the atmospheric state. With the goal of reducing false alarm rates and improving network detection capability we endeavor to develop, validate, and integrate this capability into infrasound processing operations at the International Data Centre of the Comprehensive Nuclear Test-Ban Treaty Organization. Numerous studies have demonstrated that incorporation of hybrid ground-to-space (G2S) enviromental specifications in numerical calculations of infrasound signal travel time and azimuth deviation yields significantly improved results over that of climatological atmospheric specifications, specifically for tropospheric and stratospheric modes. A robust infrastructure currently exists to generate hybrid G2S vector spherical harmonic coefficients, based on existing operational and emperical models on a real-time basis (every 3- to 6-hours) (Drob et al., 2003). Thus the next requirement in this endeavor is to refine numerical procedures to calculate infrasound propagation characteristics for robust automatic infrasound arrival identification and network detection, location, and characterization algorithms. We present results from a new code that integrates the local (range-independent) τp ray equations to provide travel time, range, turning point, and azimuth deviation for any location on the globe given a G2S vector spherical harmonic coefficient set. The code employs an accurate numerical technique capable of handling square-root singularities. We investigate the seasonal variability of propagation characteristics over a five-year time series for two different stations within the International Monitoring System with the aim of understanding the capabilities of current working knowledge of the atmosphere and infrasound propagation models. The statistical behaviors or occurrence frequency of various propagation configurations are discussed. Representative examples of some of these propagation configuration states are also shown.
机译：专家知识表明，通过不断更新电台旅行时间曲线以适当考虑大气状态的每小时，每日和季节性变化的能力，可以大大提高自动次声事件关联和源定位算法的性能。为了降低误报率并提高网络检测能力，我们努力开发，验证该功能并将其集成到全面禁止核试验条约组织国际数据中心的次声处理操作中。大量研究表明，在次声信号传播时间和方位角偏差的数值计算中结合使用地面对空间（G2S）环境规范，与气候大气规范相比，特别是对流层和平流层模式，可显着改善结果。当前，存在一个强大的基础架构，可以基于现有的运行和经验模型，实时（每3至6小时一次）生成混合G2S矢量球谐系数（Drob等，2003）。因此，这项工作的下一个要求是完善数字过程，以计算用于强大的自动次声波到达识别和网络检测，定位和表征算法的次声波传播特性。我们给出了一个新代码的结果，该代码集成了本地（与范围无关）的τp射线方程，以在给定G2S矢量球谐系数的情况下为地球上任何位置提供行进时间，范围，转折点和方位角偏差。该代码采用了能够处理平方根奇点的精确数字技术。我们研究了国际监测系统内两个不同台站在五年时间序列内传播特性的季节性变化，目的是了解当前大气工作知识和次声传播模型的能力。讨论了各种传播配置的统计行为或出现频率。还显示了其中一些传播配置状态的代表示例。

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