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Solar Radio Signals Could Be Used To Monitor Melting Ice Sheets: Study

Stanford University researchers find a new method for seeing through ice sheets using radio signals from the sun.

STANFORD, Calif. — Researchers at Stanford University revealed a new method for seeing through ice sheets using radio signals from the sun that could enable cheap, low-power, and widespread monitoring of ice sheet evolution and contribute to sea-level rise in a study.

The sun provides a daunting source of electromagnetic disarray — chaotic, random energy emitted by the massive ball of gas arrives on Earth in a wide spectrum of radio frequencies.

But in that randomness, Stanford researchers have discovered the makings of a powerful tool for monitoring ice and polar changes on Earth and across the solar system.

The technique, detailed in the journal of Geophysical Research Letters, could lead to cheaper, lower power, and more pervasive alternatives to current methods of collecting data, as per the researchers.

The advance may offer large-scale, prolonged insight into melting ice sheets and glaciers, which are among the dominant causes of sea-level rise threatening coastal communities worldwide.

Through their study, the team of glaciologists and electrical engineers showed how radio signals naturally emitted by the sun can be turned into a passive radar system for measuring the depth of ice sheets and successfully tested it on a glacier in Greenland.

Airborne ice-penetrating radar — the primary current means for collecting widespread information about the polar subsurface — involves flying airplanes containing a high-powered system that transmits its own “active” radar signal down through the ice sheet.

However, the undertaking is resource-intensive and only provides information about conditions at the time of the flight.

By contrast, the researchers’ proof of concept uses a battery-powered receiver with an antenna placed on the ice to detect the sun’s radio waves as they travel down to Earth through the ice sheet and the subsurface.

In other words, instead of transmitting its own signal, the system uses naturally occurring radio waves that are already traveling down from the sun, a nuclear-powered transmitter in the sky.

If this type of system were fully miniaturized and deployed in extensive sensor networks, it would offer an unprecedented look at the subsurface evolution of Earth’s quickly changing polar conditions, the researchers say.

“Our goal is to chart a course for the development of low-resource sensor networks that can monitor subsurface conditions on a really wide scale,” said Sean Peters, lead study author, who conducted research for the study as a graduate student at Stanford and now works at the MIT Lincoln Laboratory.

“That could be challenging with active sensors, but this passive technique gives us the opportunity to really take advantage of low-resource implementations.”

In addition to visible and other kinds of light, the sun is constantly emitting radio waves across a wide, random spectrum of frequencies. The researchers used this chaos to their advantage.

They recorded a snippet of the sun’s radioactivity, which is like an endless song that never repeats, then listened for that unique signature in the echo that’s created when the solar radio waves bounce off the bottom of an ice sheet.

Measuring the delay between the original recording and the echo allows them to calculate the distance between the surface receiver and the floor of the ice sheet and thus its thickness.

In their test on Store Glacier in West Greenland, the researchers computed an echo delay time of about 11 microseconds, which maps to an ice thickness of about 3,000 feet — a figure that matches measurements of the same site recorded from both ground-based and airborne radar.

“It’s one thing to do a bunch of math and physics and convince yourself something should be possible — it’s really something else to see an actual echo from the bottom of an ice sheet using the sun,” said Dustin Schroeder, senior author, an assistant professor of geophysics at Stanford’s School of Earth, Energy & Environmental Sciences (Stanford Earth).

The idea of using passive radio waves to collect geophysical measurements of ice thickness was initially proposed by the study’s co-author Andrew Romero-Wolf, a researcher with NASA’s Jet Propulsion Laboratory, as a way of investigating Jupiter’s icy moons.

As Schroeder and Romero-Wolf worked together with others on a mission, it became clear that radio waves generated by Jupiter itself would interfere with their active ice-penetrating radar systems.

At one point, Romero-Wolf realized that instead of a weakness, Jupiter’s erratic radio emissions might be a strength if they could be turned into a source for probing the subsurface of the moons.

“We started discussing it in the context of Jupiter’s moon Europa, but then we realized it should work for observing Earth’s ice sheets too if we replace Jupiter with the sun,” Schroeder said.

From there, the research team undertook the task of isolating the sun’s ambient radio emissions to see if it could be used to measure ice thickness. The method involved bringing a subset of the sun’s 200- to 400-megahertz radio frequency band above the noise of other celestial bodies, processing massive amounts of data, and eliminating man-made sources of electromagnetism like TV stations, FM radio, and electronic equipment.

While the system only works when the sun is above the horizon, the proof-of-concept opens the possibility of adapting to other naturally occurring and man-made radio sources in the future.

The co-authors are also still pursuing their original idea of applying this technique to space missions by harnessing the ambient energy emitted by other astronomical sources like the gas giant Jupiter.

“Pushing the frontiers of sensing technology for planetary research has enabled us to push the frontiers of sensing technology for climate change,” Schroeder said.

“Monitoring ice sheets under climate change and exploring icy moons at the outer planets are both extremely low-resource environments where you really need to design elegant sensors that don’t require a lot of power.”

(With inputs from ANI)

(Edited by Amrita Das and Pallavi Mehra)