Aerospace & Defence

Earth becomes a laboratory for the study of distant worlds

2nd July 2018
Enaie Azambuja

The study of exoplanets could help scientists answer big questions about our place in the universe, and whether life exists beyond Earth. But, these distant worlds are extremely faint and difficult to image directly. A new study uses Earth as a stand-in for an exoplanet, and shows that even with very little light -- as little as one pixel -- it is still possible to measure key characteristics of distant worlds.

The new study uses data from NASA's Earth Polychromatic Imaging Camera (EPIC) instrument, which is onboard the National Oceanic and Atmospheric Administration's Deep Space Climate Observatory, or DSCOVR, satellite.

DSCOVR goes around the Sun at Lagrange point 1, a specific orbit that provides EPIC with a constant view of our home planet's sunlit surface. EPIC has been observing Earth continuously since June 2015, producing nuanced maps of the planet's surface in multiple wavelengths, and contributing to studies of climate and weather.

The EPIC instrument captures reflected light from Earth in 10 different wavelengths, or colors. So, each time EPIC "takes a picture" of Earth, it actually captures 10 images.

The new study averages each image into a single brightness value, or the equivalent of one "single-pixel" image for each wavelength. A single, one-pixel snapshot of the planet would provide very little information about the surface.

But in the new study, the authors analysed a data set containing single-pixel images taken multiple times per day, in 10 wavelengths, over an extended period. Despite the fact that the entire planet had been reduced to a single point of light, the authors were able to identify water clouds in the atmosphere and measure the planet's rotation rate (the length of its day).

The authors say the study, in the June 27 issue of the Astrophysical Journal, demonstrates that the same information could be derived from single-pixel observations of exoplanets.

"The benefit of using Earth as a proxy for an exoplanet is that we can verify our conclusions derived from the single-pixel data with the wealth of data that we actually have for Earth -- we can't do that if we're using data from a distant, actual exoplanet," said Jonathan Jiang, an atmospheric and climate scientist at NASA's Jet Propulsion Laboratory in Pasadena, California, and lead author on the new study.

When Jiang's daughter, Teresa, was in elementary school, he organised a star-observing event for her and her friends. Jiang pointed to the stars, and told his daughter that the Sun is also star, and that there are planets orbiting other stars just as planets orbit the Sun. She pressed her father for more information, asking how scientists could possibly learn about those distant worlds from such tiny points of light in the sky.

"Kids ask a lot of good questions," Jiang said. "And that question stuck in my mind -- if I can see an exoplanet as only a tiny point of light, can I see clouds and oceans and land?"

Jiang began his career in astrophysics, but for his PhD work, he decided to apply his computer and physical modeling skills to Earth's climate. Now, he's using climate data to assist the study of exoplanets. Exoplanets are significantly dimmer than stars and much more difficult to detect. Earth, for example, is about 10 billion times fainter than the Sun.

Only about 45 exoplanets have been discovered by direct imaging, all of which are much larger than Earth. The majority of known exoplanets (over 3,700 have been confirmed) were detected indirectly, using techniques such as the transit method, in which scientists observe the slight dimming of a star caused by the transit of an exoplanet across the face of the star.

The EPIC instrument captures reflected light from the sunlit side of Earth in 10 different wavelengths, or colors, because different materials reflect different wavelengths of light to different degrees -- plants, for example, reflect mostly green light. And a reddish planet like Mars, for example, would have a very different color profile compared to a planet covered in ice.

The new study shows that by observing a planet with distinct features over time -- such as oceans and continents -- it is possible to measure the planet's rotation rate by observing a repeating pattern in the reflected light. This pattern would arise from those planetary features moving into view with a regular cadence.

For example, every 24 hours, Australia and the Pacific Ocean fills EPIC's field of view, and about 12 hours later South America and the Atlantic fill the frame, with Africa and the Indian Ocean passing by in between.

This pattern of changing light would repeat day after day. In the new paper, the authors show that they can detect this repeating cycle and thus determine the rotation rate, or the length of the planet's day. The rotation rate of a planet can reveal information about how and when the planet formed, and is a particularly difficult property to measure with current methods.

"People have been talking for some time about using this approach to measure the rotation rate of exoplanets, but there's been no demonstration that it could work because we didn't have any real data," said Renyu Hu, an exoplanet scientist at JPL and a coauthor on the new study. "We've shown that in every wavelength, the 24-hour period appears, which means this approach to measuring planet rotation is robust."

The authors note, however, that the effectiveness of this method would depend on the unique features of the planet. A daily-cycle pattern might not be visible on a planet that is largely homogenous over its surface.

Venus, for example, is covered in thick clouds and has no oceans on its surface, so a recurring daylong pattern might not appear, or might not be distinct enough to observe in a one-pixel image.

Planets like Mercury and Mars would also be challenging, but Jiang said planetary features like craters could also contribute to a pattern that could be used to measure the rotation period.

Discover more here.

Image credit: NASA.

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