Thunder + fiber-optic cabling used for seismic imaging - Ars Technica
Skip to content
AI
Biz & IT
Cars
Culture
Gaming
Health
Policy
Science
Security
Space
Tech
Forum
Subscribe
Story text
Size
Small<br>Standard<br>Large
Width
Standard<br>Wide
Links
Standard<br>Orange
* Subscribers only
Learn more
Pin to story
Theme
Search
Sign In
Sign in dialog...
Text<br>settings
Story text
Size
Small<br>Standard<br>Large
Width
Standard<br>Wide
Links
Standard<br>Orange
* Subscribers only
Learn more
Minimize to nav
Most of what we know about the Earth’s interior comes from observing seismic waves. These travel at somewhat different speeds depending on the details of the rock they’re moving through—whether it’s solid or semi-molten, how much water is present, whether it’s fractured or solid material, and so on. Get enough data from enough seismic events, and you can start piecing together a picture of what’s present at different depths below the surface.
In many cases, we can get this data from naturally occurring events like earthquakes. In others, we intentionally create waves using things like explosives, providing the opportunity to do imaging in specific areas without needing to wait for an earthquake. Now, a team of scientists at Penn State suggests there’s a potential option that sits between waiting for an earthquake and triggering your own seismic event: thunderstorms.
Some of the energy carried by thunder enters the Earth’s upper crust, triggering what are termed “thunderquakes.” But, for various physical reasons, the seismic signals are extremely complex, making it difficult to extract clear signals from them. The Penn State team says it has finally constructed a model that can help make sense of this complexity and used it to reconstruct the terrain under the local campus.
Managing complexity
Why are thunderquakes so hideously complex? It starts with the phenomenon that creates thunder in the first place. Lightning creates thunder by forming superheated bubbles of plasma along its path, creating a structure that has been compared to a string of beads. Each of those beads has the potential to generate an acoustic shock wave, leading to a chain of expanding shock waves that trace the lightning’s path through the area, which is anything but a straight line. These waves also have the potential to interfere with each other as they expand. And, while these shock waves first hit the Earth at a single point, they rapidly expand from there, albeit with decreasing power.
Things don’t get less complex once the Earth gets involved. The acoustic shock waves may strike soft soil, hard rock, various forms of human infrastructure, and so on, each of which will affect how energy gets transmitted. Some of the energy gets converted into what are called Rayleigh waves, where the energy is transmitted as a wave that moves along the Earth’s surface. The rest go deeper, forming waves that may move through some combination of loose material or the underlying bedrock.
To extract information about the Earth’s structure, you have to understand what the seismic waves from a thunderclap would normally look like. Which, to an extent, requires modeling all of the above processes. Since each thunderquake is going to be unique due to the different locations and conditions, this model is going to be, at best, an approximation. The fear that any approximation wouldn’t be good enough to generate usable data probably kept people from trying to analyze thunderquakes sooner.
To get their approximation, the team started with a software package called SPECFEM3D Cartesian, which is dedicated to 3D reconstructions of seismic waves. Already, that choice necessitates a few compromises. For example, the software treats the atmosphere as a 3.6 km-thick homogeneous layer, even though the atmosphere near a thunderstorm is anything but. The model also updates events at a frequency that’s slower than the waves moving through the Earth-air interface. So, to compensate for that, the researchers simply stretched the top 20 meters of Earth out to cover 200 meters.
These and other factors mean that there were plenty of reasons to think that the model wouldn’t be sufficient to handle real-world data. So, the people who developed it tested it against the real world, using thunderstorms that passed by their campus.
Passing the test
One of the nicer discoveries in seismology has been the realization that the same fiber-optic cables that rush cat pics to your LAN can act as seismometers. And, conveniently, the Penn State campus has a 4 kilometer fiber line that has been set aside for seismic sensing running under the campus. And said campus happens to be located in a part of the US where summer thunderstorms are a regular occurrence.
Two years of data netted them 458 well-resolved thunderquakes, each of which was confirmed using records from the US’s National Lightning Detection Network (something I had not realized existed). These quakes were...