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Martian auroras offer clues to how the red planet lost its water
Aurorae are a dazzling light spectacle often visible at high-latitude locations here on Earth. They’re colorful and mesmerizing, but most of all, they’re mysterious.
A new study has found that this same phenomenon also happens on Mars. In research presented last week at the American Geophysical Union’s annual Fall meeting, scientists revealed that the most common form of Martian aurorae is called the proton aurora.
Just like the auroras we see here on Earth, proton aurorae are formed when the solar wind—a stream of charged particles emanating from the Sun—interacts with the atmosphere. That interaction often manifests itself as a mesmerizing swirl of colored lights in the night sky.
On Mars, however, the auroras appear during the daytime and onlookers would need special ultraviolet glasses to see them. That’s because they’re invisible to the naked eye, but can be spotted with special UV instruments.
These auroras aren’t just a future Martian tourist attraction, they have a scientific value. We could better understand how Mars is losing water to space and more about how the planet’s climate is changing.
Proton auroras were first discovered in 2016 by NASA’s Mars Atmosphere and Volatile Evolution (MAVEN) spacecraft. MAVEN is investigating how the Red Planet lost its atmosphere and water, ultimately transforming its climate from one that may have supported life to one that is inhospitable.
The observed aurora can help researchers track the amount of water lost since the auroras are related to water loss.
“In this new study using MAVEN/IUVS data from multiple Mars years, the team has found that periods of increased atmospheric escape correspond with increases in proton aurora occurrence and intensity,” Andréa Hughes of Embry-Riddle Aeronautical University in Daytona Beach, Florida said in a news release.
Auroras on both planets start with the same source: the solar wind. On Earth, they appear when the solar wind slams into our planet’s magnetic field. High-energy collisions occur as the charged solar particles interact with particles of atmospheric gas. Each type of particle produces a different colored light in the sky.
Martian auroras start in much the same way, charged particles from the solar wind collide with a cloud of hydrogen that surrounds the red planet. When this happens, protons in the solar wind become neutral after stealing electrons from the hydrogen atoms. They then collide with other molecules in the Martian atmosphere, producing an ultraviolet glow.
Since the hydrogen cloud surrounding the planet is created in part by water being lost to space, this could give scientists a way to measure the amount of water lost over time.
When the MAVEN team first observed the proton aurora, they thought they were witnessing an unusual phenomenon. “At first, we believed that these events were rather rare because we weren’t looking at the right times and places,” Mike Chaffin, a research scientist at the University of Colorado Boulder’s Laboratory for Atmospheric and Space Physics (LASP) said in a statement.
After Chaffin’s team took a closer look, they discovered that the proton auroras occur quite frequently, especially in the summer. This is probably due to seasonal variation in the hydrogen cloud that surrounds Mars. The team noted that during the Martian summer, the cloud lines up just right to produce near-constant auroras.
But that’s not all. The researchers also discovered that as temperatures climb during the summer, rising dust clouds would carry water vapor away from the planet’s surface. That water vapor is then broken down into its components: hydrogen and oxygen. As more hydrogen escapes into space, it enhances the hydrogen cloud enveloping Mars and ultimately leads to more frequent (and brighter) proton auroras.
“Observations of proton auroras at Mars provides a unique perspective of hydrogen and, therefore, water loss from the planet,” physicist Edwin Mierkiewicz of Embry-Riddle Aeronautical University in Florida said in a statement.
“Through this research, we can gain a deeper understanding of the Sun’s interactions with the upper atmosphere of Mars and with similar bodies in our Solar System, or in another solar system, that lacks a global magnetic field.”
So, if we ever do make it to Mars, those first visitors are going to witness some truly out-of-this-world sights—as long as they packed their ultraviolet goggles.
Tesla has reached a notable benchmark in its autonomous driving program after its Robotaxi fleet surpassed one million miles of unsupervised operation. The company made the announcement during its Cybercab event in Austin on September 3.
Tesla Vice President of AI Ashok Elluswamy told attendees he was happy to report the fleet had achieved one million miles of unsupervised Robotaxi operation as a testament to safety.
The new total marked a sharp increase from the 380,000 unsupervised miles Tesla disclosed during its second-quarter 2026 earnings update in late July.
In roughly six weeks, the company added about 620,000 miles. That acceleration followed Tesla’s decision to remove in-vehicle safety monitors from most of its operations outside the San Francisco Bay Area.
Credit: Tesla
Tesla first launched Robotaxi service in Austin in June 2025 with safety drivers present. It later began fully unsupervised rides and expanded into Dallas, Houston, Miami, Orlando, and Tampa. The San Francisco Bay Area remains the exception, where a safety monitor still rides in the vehicle under California permitting rules.
The company has not released a city-by-city breakdown of the one million unsupervised miles.
The milestone arrived as Tesla began offering public Cybercab rides in Austin. The purpose-built vehicle has no steering wheel or pedals and is designed only for autonomous ride-hailing. Production versions joined the existing fleet of modified Tesla vehicles already operating in the service.
Tesla’s unsupervised mileage is growing at a double-digit weekly rate according to earlier company comments, yet its fleet size remains modest compared with established competitors. Waymo has accumulated more than 200 million fully autonomous rider-only miles. Tesla has described its own unsupervised operations as having recorded zero notable incidents in the period leading up to the July update.
The one-million-mile figure reflects Tesla’s shift from supervised testing to broader driverless service in multiple states. It also highlights the company’s strategy of using both existing Model Y vehicles and the new Cybercab to scale its network.
Credit: Tesla
Whether the rapid recent growth continues will depend on further city expansions, regulatory approvals, and the performance of the purpose-built Cybercab in everyday paid rides. Tesla has not specified how many of the latest miles involved the new vehicle versus the rest of the fleet.
The announcement underscores Tesla’s progress toward a larger robotaxi network while illustrating the remaining gap in total autonomous experience relative to longer-operating rivals.
Tesla AI lead Ashok Elluswamy said this week that 24-hour Robotaxi service is close. Replying on X to a rider who wanted Cybercab trips all night, he wrote that the capability would arrive “next month or so” once “the next tech to merge on the v15 plan” is ready.
The comment landed on September 4, one day after Tesla opened public Cybercab rides in Austin. It is the clearest near-term timeline yet for overnight unsupervised operation. Tesla’s paid Robotaxi network currently runs from 6 a.m. to 10 p.m. seven days a week across Austin, Dallas, Houston, Miami, Orlando, and Tampa.
next month or so. the next tech to merge on the v15 plan will enable it.
— Ashok Elluswamy (@aelluswamy) September 4, 2026
That 16-hour window is shorter than the 6 a.m. to 2 a.m. schedule the company used for much of the prior year.
Elluswamy did not name the specific feature or say whether the change would apply first to purpose-built Cybercabs, the existing Model Y fleet, or both. He also offered no city-by-city rollout list. The link to Full Self-Driving v15 is nevertheless significant.
Tesla has described v15 as a step-change architecture with seven parallel improvement tracks and roughly ten times more parameters than earlier builds. Early versions of that software already operate on the Robotaxi fleet and contain about 40 percent of the planned gains.
By July 2026, the unsupervised fleet had logged more than 380,000 miles across six cities in two states with what the company called an impeccable safety record and no notable incidents caused by the vehicles themselves. Tesla has repeatedly argued that camera-based end-to-end neural networks, rather than extra sensors, are the core of the solution.
Overnight service would test that claim in lower-light conditions and would also raise vehicle utilization, a key variable for Robotaxi unit economics. The company has already begun using public Superchargers at night and is building dedicated Robotaxi charging sites.
Riders have asked why software must change if the cars already drive in the dark. The practical answer appears to be reliability and scale: Tesla has held back mass expansion until more of the v15 stack is merged, citing the need for higher confidence before putting thousands of unoccupied vehicles on streets around the clock.
If the next module arrives on the timetable Elluswamy sketched, 24-hour service could begin in October 2026 in at least some markets.
That would mark a shift from a daytime-bounded pilot to a service that can run whenever demand exists, including the late-night hours that have so far remained out of reach.
Tesla is beginning to roll out Full Self-Driving Supervised v14.3.9 with a new active safety layer that can take control even when the driver is operating the car manually.
Tesla AI said the software can activate FSD on the driver’s behalf when an imminent collision is detected and Automatic Emergency Braking may not be enough. It may also engage if the system detects heavy distraction or an accidental FSD disengagement.
FSD Supervised v14.3.9 starting to roll out shortly
This release includes a new active safety feature set: FSD Supervised can now activate on your behalf when an imminent collision is detected and Automatic Emergency Braking (AEB) may not be enough.
It may also engage if we…
— Tesla AI (@Tesla_AI) September 4, 2026
The capability is essentially Automatic Collision Evasion. However, unlike conventional AEB, which mainly applies the brakes in a straight line, this feature can use steering, braking, and acceleration together if the car calculates that stopping alone will not prevent impact and a safer path exists. The system may change lanes or move toward a shoulder when conditions allow, then continue driving after the immediate threat is handled rather than simply coming to a stop.
The intervention is meant as a last-resort safety net, not a replacement for attentive driving.
Tesla Full Self-Driving v14.3.7 early review: FSD saved me from an accident
Tesla’s own description still frames FSD as supervised assistance. Secondary reports on internal release notes say the feature can fire while the car is being driven manually if cabin-camera monitoring suggests the driver is not sufficiently attentive, such as reaching toward the back seat, or if FSD appears to have been turned off unintentionally.
After the emergency maneuver, the car is expected to alert the driver and request a return to manual control.
The safety case is straightforward. Many collisions happen in the last second because a driver is looking away, fumbles a control, or faces an obstacle that braking cannot fully solve. A system that can both recognize that AEB is insufficient and execute a coordinated evasive path can reduce those remaining high-severity events.
Re-engaging after accidental disengagement also addresses a practical failure mode: a small steering nudge that drops FSD at the worst moment. The advantage is a background safety net that uses the same vision stack already running in v14, instead of leaving the car solely to emergency braking once the driver is no longer in command.
The feature still depends on FSD being enabled and, according to reports, an active FSD purchase or subscription. It does not make the vehicle unsupervised. Drivers remain responsible, and Tesla has not published how often the system is expected to intervene or how it will handle false positives.
If the rollout is conservative and the false-alarm rate stays low, the update is a meaningful step: FSD is no longer only a feature the driver turns on. In the rare moments when disaster is already forming, it can step in.
Tesla crosses major Unsupervised Self-Driving milestone
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