Retracing the Path of a Meteor: Insights from Taiwan’s Seismic and Infrasound Networks

On December 5, 2013, a mysterious series of booms startled Tamsui residents in Taiwan. Using seismic and infrasound data, we uncovered the event’s origin—a meteor shockwave. This rare phenomenon allowed us to reconstruct the meteor’s trajectory and estimate its energy, highlighting the value of geophysical monitoring in studying atmospheric events.

On the evening of December 5, 2013, residents of Tamsui, a picturesque coastal town in northern Taiwan, reported hearing three loud, explosion-like sounds in quick succession. The source of these mysterious booms baffled everyone. Despite searches and speculation, no clear explanation emerged. However, as a researcher studying geophysical phenomena, I found these unexplained sounds deeply intriguing. This curiosity led to the research project that lead to our 2017 paper, “A meteor shockwave event recorded at seismic and infrasound stations in northern Taiwan.”

A Rare Opportunity

Meteor events like these are incredibly fascinating but rarely captured with sufficient data for thorough analysis. Fortunately, Taiwan’s robust network of seismic and infrasound stations recorded the event. We analyzed data from 12 seismic stations and 3 infrasound sensors, uncovering clear signals tied to the explosions. These signals exhibited a velocity of approximately 330 m/s, which indicated that the shockwaves propagated through the atmosphere, ruling out traditional seismic sources like earthquakes.

The waveform characteristics we observed were distinct, bearing the signature of meteor-generated shockwaves. This realization set the stage for a deeper dive into reconstructing the meteor’s trajectory.

The waveforms record at the seismic (Red CWB; Blue BATS) and infrasound (Magenta IES) stations used in the study. (Source: Kumar et. al., 2017)

Reconstructing the Meteor’s Trajectory

Determining the meteor’s path required integrating innovative analytical methods. We used both a graphical method and a Genetic Algorithm (GA)-based optimization approach to precisely reconstruct its trajectory. This dual-method analysis allowed us to pinpoint the meteor’s termination point at coordinates 25.33°N, 121.26°E, roughly 20 kilometers offshore from Tamsui.

The trajectory parameters revealed that the meteor entered the atmosphere at a steep elevation angle of 70° and followed an azimuth of 303°—moving northwest. This high-elevation angle suggested a near-vertical descent, likely producing the distinctive sonic booms heard across Tamsui.

The time-compressed schematic of the meteor trajectory. (Source: Kumar et. al., 2017)

Estimating the Meteor’s Impact Energy

In addition to its path, we estimated the meteor’s energy. Using infrasound signal characteristics, specifically the signal period at maximum amplitude, we applied a scaling law originally developed for nuclear tests. The impact energy was calculated to be around 5 \times 10^10joules, equivalent to a magnitude 4 earthquake. This corresponds to a meteor approximately 0.5 meters in diameter and an estimated pre-atmospheric mass of 250 kilograms.

Broader Implications

Our findings underscore the importance of integrated geophysical monitoring networks for capturing and analyzing atmospheric phenomena. The combination of seismic and infrasound data provided a comprehensive picture of this event, highlighting the potential for such networks to study other rare, high-energy atmospheric events.

This research also emphasizes the need for interdisciplinary methods. By combining geophysical techniques with optimization algorithms, we reconstructed a detailed picture of an event that lasted mere seconds but left a lasting impression.

References

Kumar, U., Chao, B. F., Hsieh, Y., & Chang, E. T. Y. (2017). A meteor shockwave event recorded at seismic and infrasound stations in northern Taiwan. Geoscience Letters, 4(1). https://doi.org/https://doi.org/10.1186/s40562-017-0079-2
Utpal Kumar
Utpal Kumar

Geophysicist | Geodesist | Seismologist | Open-source Developer
I am a geophysicist with a background in computational geophysics, currently working as a postdoctoral researcher at UC Berkeley. My research focuses on seismic data analysis, structural health monitoring, and understanding deep Earth structures. I have had the opportunity to work on diverse projects, from investigating building characteristics using smartphone data to developing 3D models of the Earth's mantle beneath the Yellowstone hotspot.

In addition to my research, I have experience in cloud computing, high-performance computing, and single-board computers, which I have applied in various projects. This includes working with platforms like AWS, GCP, Linode, DigitalOcean, as well as supercomputing environments such as STAMPEDE2, ANVIL, Savio and PERLMUTTER (and CORI). My work involves developing innovative solutions for structural health monitoring and advancing real-time seismic response analysis. I am committed to applying these skills to further research in computational seismology and structural health monitoring.

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