Explosion-generated infrasound recorded on ground and airborne microbarometers at regional distances
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Recent work in deploying infrasound (low frequency sound) sensors on aerostats and free flying balloons has shown them to be viable alternatives to ground stations. However, no study to date has compared the performance of surface and free floating infrasound microbarometers with respect to acoustic events at regional (100s of kilometers) range. The prospect of enhanced detection of aerial explosions at similar ranges, such as those from bolides, has not been investigated either. We examined infrasound signals from three 1 ton TNT equivalent explosions using microbarometers on two separate balloons at ranges of 280 to 400 km and ground stations at ranges of 6.3 to 350 km. Signal celerities were consistent with acoustic waves traveling in the stratospheric duct. However, significant differences were noted between the observed arrival patterns and those predicted by an acoustic propagation model. Very low background noise levels on the balloons were consistent with previous studies ..., Download the data file, unzip it, and then run the following shell commands to concatenate and then uncompress the files:
cat usie.tgz.* | tar xzv, , # Data from: Explosion-generated infrasound recorded on ground and airborne microbarometers at regional distances
[https://doi.org/10.5061/dryad.354kg7d](https://doi.org/10.5061/dryad.354kg7d)
Give a brief summary of dataset contents, contextualized in experimental procedures and results.
## Description of the data and file structure
The data come in four tar archives that must be downloaded and combined using the following shell commands:
There are two types of data included in this repository: raw digitizer output files in a proprietary format, and data converted into physical units (Pascals) in Seismic Analysis Code (SAC) format. Both types are provided for traceability purposes.
The Seismic Analysis Code (SAC) file format is one of the most commonly used formats used in seismic studies. It can be read by a variety of programming languages, including the Obspy library in Python and RSEIS in R. It also has a standalone interactive program. A good reference for SAC is here:
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创建时间:
2025-07-24



