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Storm Warning: JWST Detects Violent Weather on Nearby Substars

by nasaspacenews
May 7, 2025
in Astronomy, Astrophysics, Cosmology, JWST, News, Others
0
A storm is pictured in the Arabian Sea less than 700 miles off the coast of Oman as the International Space Station orbited 260 miles above. NASA / Jasmin Moghbeli

A storm is pictured in the Arabian Sea less than 700 miles off the coast of Oman as the International Space Station orbited 260 miles above. NASA / Jasmin Moghbeli

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The James Webb Space Telescope (JWST) has delivered one of its most fascinating insights yet—real-time weather reports from not one, but two brown dwarfs orbiting just 6.5 light-years from Earth. These cosmic objects, Luhman 16A and Luhman 16B, have become the focus of groundbreaking research revealing swirling clouds, temperature swings, and chemical storms like nothing seen in our own Solar System.


Luhman 16: Our Celestial Neighbors

Luhman 16, also cataloged as WISE 1049AB, is the closest brown dwarf binary system to the Sun. Discovered in 2013, it quickly gained popularity as an ideal target for infrared observations due to its proximity and brightness. The system features two brown dwarfs—one classified as L-type, the other on the boundary between L-type and T-type—each offering a different view into the evolving chemistry of substellar atmospheres.

What makes brown dwarfs unique is their ambiguous status in the cosmic hierarchy. They are more massive than gas giant planets, but not quite stars, as they lack the mass to sustain hydrogen fusion. Instead, they slowly cool and emit faint infrared light, making them prime candidates for study with instruments like JWST.


Peering into Alien Atmospheres with JWST

The success of JWST’s observations comes from its ability to see infrared light across a broad spectrum, from 1 to 14 microns. For this study, two key instruments were used: the Near Infrared Spectrograph (NIRSpec) and the Mid-Infrared Instrument (MIRI). These tools provided an unprecedented view of Luhman 16’s atmosphere—layer by layer, molecule by molecule.

Previous missions could only scratch the surface of brown dwarf weather. But with JWST, scientists conducted time-resolved spectroscopic observations over a seven-month period, making it the longest baseline weather study ever performed on a brown dwarf system. This allowed astronomers to track how features evolved over time, rather than capturing just a fleeting snapshot.

The use of both low- and mid-resolution data gave researchers a multidimensional view of how temperature, cloud composition, and chemical activity varied with depth and rotation. These are precisely the kinds of details needed to build reliable atmospheric models for both brown dwarfs and distant gas giants.


Silicate Clouds: The Skies are Not Clear

One of the most significant discoveries in this campaign was the detection of silicate clouds. These clouds consist of small mineral grains—akin to tiny bits of sand—that condense at high temperatures and create layered cloud decks in brown dwarf atmospheres. Observations revealed the presence of these grains at mid-infrared wavelengths for the first time, particularly in Luhman 16A.

What makes silicate clouds so intriguing is how they influence a brown dwarf’s brightness and thermal signature. As the clouds shift or dissipate, the light emitted changes, creating fluctuations in the observed data. In essence, scientists were watching clouds form, move, and vanish on alien worlds—just as meteorologists track cloud cover and storms here on Earth.

These cloud patterns were not uniform. Light curves showed dramatic variability, hinting at patchy and evolving cloud coverage. In the lower atmosphere, the shapes of these curves pointed to turbulent weather driven by deep atmospheric processes.


Molecular Hotspots and Storm Systems

Higher up in the atmosphere, researchers observed chemical signals from carbon monoxide and methane—two molecules that play important roles in the thermal regulation of brown dwarfs. These molecular hotspots appeared in specific wavelength ranges, rotating in and out of view as the brown dwarfs spun on their axes.

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What’s striking is that these atmospheric layers seemed to exhibit their own independent behaviors. The lower atmosphere was dominated by silicate clouds, while the middle and upper layers were influenced by molecular chemistry and radiative heating. This vertical layering mirrors what we see in gas giants like Jupiter or Saturn, where different layers are shaped by different forces.

Even though the two brown dwarfs exist in the same system, their atmospheres didn’t behave identically. Silicates were detected in one (Luhman 16A) but not in its companion (16B), suggesting that even within binary systems, atmospheric evolution can diverge significantly based on small differences in temperature or rotation.


Patterns in the Chaos

Despite the dynamic changes, researchers found consistency in how each atmospheric layer behaved over time. That is, even as clouds shifted and hotspots moved, the underlying processes governing those changes remained stable. The silicate clouds always appeared in the same spectral region. The molecular signatures did not drift outside their expected bands.

This is an important observation because it shows that even in chaotic environments, there is structure and predictability. It’s a crucial step toward building accurate climate models for brown dwarfs and, by extension, gas giant exoplanets. These models rely on understanding how different atmospheric layers interact, how long features persist, and what causes variability over days, weeks, or months.


Why This Matters for Exoplanet Research

What makes this study truly transformative is how applicable it is to the study of exoplanets. Brown dwarfs share many traits with gas giants—temperature ranges, atmospheric pressure, and molecular composition—without the complications of orbiting stars that can interfere with observations.

The insights gathered from Luhman 16 help refine General Circulation Models (GCMs), which simulate how heat and chemicals move through planetary atmospheres. These models are essential for understanding whether an exoplanet can hold onto its atmosphere, how energy is distributed across its surface, and whether it could be habitable.

Understanding cloud dynamics and chemical variability also helps in the search for biosignatures—chemical indicators of life. If we don’t understand the baseline behavior of planetary atmospheres, we risk misinterpreting what we see on planets light-years away.


Looking Ahead: Building a Cosmic Climate Atlas

The team behind the Luhman 16 study emphasized that this is just the beginning. They advocate for expanded JWST monitoring across a wider range of brown dwarfs, including cooler Y-type and hotter L-type objects. This broader dataset will help determine which atmospheric behaviors are universal and which are unique to certain temperatures or masses.

By comparing a variety of substellar atmospheres, scientists can begin to create a framework for predicting weather and climate on newly discovered exoplanets. It’s a massive step toward building what could be called a “cosmic climate atlas.”

Luhman 16 now serves as a benchmark—an anchor in our understanding of how weather works beyond Earth, beyond the Solar System, and into the realm of star-like planets and planet-like stars.


Conclusion: Our First Interstellar Forecast

The James Webb Space Telescope’s work on Luhman 16 represents a monumental achievement in space science. For the first time, we have a time-lapse of weather patterns on another world—or rather, two worlds—only a few light-years away. We’ve seen clouds drift, molecules rise and fall, and heat move through alien skies.

Reference:

The JWST weather report from the nearest brown dwarfs II: Consistent variability mechanisms over 7 months revealed by 1-14 m NIRSpec + MIRI monitoring of WISE 1049AB

Tags: exoplanet atmospheresgas giant modelingInfrared AstronomyJames Webb brown dwarf studyJWST brown dwarfsLuhman 16 weatherMIRI instrumentNIRSpec weather dataplanetary weather patternssilicate clouds

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