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By NASA
Curiosity Navigation Curiosity Home Mission Overview Where is Curiosity? Mission Updates Science Overview Instruments Highlights Exploration Goals News and Features Multimedia Curiosity Raw Images Images Videos Audio Mosaics More Resources Mars Missions Mars Sample Return Mars Perseverance Rover Mars Curiosity Rover MAVEN Mars Reconnaissance Orbiter Mars Odyssey More Mars Missions Mars Home 2 min read
Curiosity Blog, Sols 4602-4603: On Top of the Ridge
NASA’s Mars rover Curiosity acquired this image looking along the ridge it is exploring during its planned activities for July 16, 2025. Curiosity acquired this image using its Left Navigation Camera on July 15 — Sol 4600, or Martian day 4,600 of the Mars Science Laboratory mission — at 17:12:14 UTC. NASA/JPL-Caltech Written by Alex Innanen, Atmospheric Scientist at York University
Earth planning date: Wednesday, July 16, 2025
As we hoped, we successfully climbed the 11-meter ramp (about 36 feet) and have arrived at the top of the ridge and the start of the main boxwork region. This means we’re moving into the next phase of the boxwork campaign, which is all about assessing these features and how we can navigate our way through them, and learning everything we can about their composition.
In support of that, we’re taking a good look around at the boxwork ridges with both ChemCam and Mastcam. Both instruments are taking mosaics of the more distant ridges to get a broader view of their features. A bit closer in, Mastcam has three more mosaics: two looking at different views of “El Corral” and “Chapare,” both of which we saw in Monday’s plan, and “Meson,” which is the ridge we’ll be heading for in today’s 15-meter drive (about 49 feet).
It’s not all looking ahead, though. The workspace in front of us has a lot to offer as well. Mastcam will be turning its sights to some nearby linear features. Our workspace is also full of nodular bedrock, which is getting lots of up-close attention. ChemCam will be turning its LIBS laser on a target called “Altamora,” and MAHLI and APXS will be examining another target called “Nocarane.”
With all the geological excitement, we can still manage to squeeze in some time to keep an eye on the environment. Though we don’t always mention them, REMS, RAD, and DAN are always there working steadily away to build up our understanding of Mars’ environment. We’ll also round out the plan with a suprahorizon cloud movie and a 360-degree dust-devil survey.
For more Curiosity blog posts, visit MSL Mission Updates
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Last Updated Jul 18, 2025 Related Terms
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By NASA
6 Min Read NASA’s TRACERS Studies Explosive Process in Earth’s Magnetic Shield
High above us, particles from the Sun hurtle toward Earth, colliding with the upper atmosphere and creating powerful explosions in a murky process called magnetic reconnection. A single magnetic reconnection event can release as much energy as the entire United States uses in a day.
NASA’s new TRACERS (Tandem Reconnection and Cusp Electrodynamics Reconnaissance Satellites) mission will study magnetic reconnection, answering key questions about how it shapes the impacts of the Sun and space weather on our daily lives.
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NASA’s TRACERS mission, or the Tandem Reconnection and Cusp Electrodynamics Reconnaissance Satellites, will fly in low Earth orbit through the polar cusps, funnel-shaped holes in the magnetic field, to study magnetic reconnection and its effects in Earth’s atmosphere. NASA’s Goddard Space Flight Center The TRACERS spacecraft are slated to launch no earlier than late July 2025 aboard a SpaceX Falcon 9 rocket from Space Launch Complex 4 East at Vandenberg Space Force Base in California. The two TRACERS spacecraft will orbit Earth to study how the solar wind — a continuous outpouring of electrically charged particles from the Sun — interacts with Earth’s magnetic shield, the magnetosphere.
What Is Magnetic Reconnection?
As solar wind flows out from the Sun, it carries the Sun’s embedded magnetic field out across the solar system. Reaching speeds over one million miles per hour, this soup of charged particles and magnetic field plows into planets in its path.
“Earth’s magnetosphere acts as a protective bubble that deflects the brunt of the solar wind’s force. You can think of it as a bar magnet that’s rotating and floating around in space,” said John Dorelli, TRACERS mission science lead at NASA’s Goddard Space Flight Center in Greenbelt, Maryland. “As the solar wind collides with Earth’s magnetic field, this interaction builds up energy that can cause the magnetic field lines to snap and explosively fling away nearby particles at high speeds — this is magnetic reconnection.”
Openings in Earth’s magnetic field at the North and South Poles, called polar cusps, act as funnels allowing charged particles to stream down towards Earth and collide with atmospheric gases. These phenomena are pieces of the space weather system that is in constant motion around our planet — whose impacts range from breathtaking auroras to disruption of communications systems and power grids. In May 2024, Earth experienced the strongest geomagnetic storm in over 20 years, which affected high-voltage power lines and transformers, forced trans-Atlantic flights to change course, and caused GPS-guided tractors to veer off-course.
How Will TRACERS Study Magnetic Reconnection?
The TRACERS mission’s twin satellites, each a bit larger than a washing machine, will fly in tandem, one behind the other, in a relatively low orbit about 360 miles above Earth. Traveling over 16,000 mph, each satellite hosts a suite of instruments to measure different aspects of extremely hot, ionized gas called plasma and how it interacts with Earth’s magnetosphere.
An artist’s concept of the twin TRACERS satellites in orbit above Earth. NASA’s Goddard Space Flight Center The satellites will focus where Earth’s magnetic field dips down to the ground at the North polar cusp. By placing the twin TRACERS satellites in a Sun-synchronous orbit, they always pass through Earth’s dayside polar cusp, studying thousands of reconnection events at these concentrated areas.
This will build a step-by-step picture of how magnetic reconnection changes over time and from Earth’s dayside to its nightside.
NASA’s TRICE-2 mission also studied magnetic reconnection near Earth, but with a pair of sounding rockets launched into the northern polar cusp over the Norwegian Sea in 2018.
“The TRICE mission took great data. It took a snapshot of the Earth system in one state. It proved that these instruments could make this kind of measurement and achieve this kind of science,” said David Miles, TRACERS principal investigator at the University of Iowa. “But the system’s more complicated than that. The TRACERS mission demonstrates how you can use multi-spacecraft technology to get a picture of how things are moving and evolving.”
The TRACERS mission demonstrates how you can use multi-spacecraft technology to get a picture of how things are moving and evolving.
DAVID MILES
TRACERS principal investigator, University of Iowa
Since previous missions could only take one measurement of an event per launch, too many changes in the region prevented forming a full picture. Following each other closely in orbit, the twin TRACERS satellites will provide multiple snapshots of the same area in rapid succession, spaced as closely as 10 seconds apart from each other, reaching a record-breaking 3,000 measurements in one year. These snapshots will build a picture of how the whole Earth system behaves in reaction to space weather, allowing scientists to better understand how to predict space weather in the magnetosphere.
Working Across Missions in Solar Harmony
The TRACERS mission will collaborate with other NASA heliophysics missions, which are strategically placed near Earth and across the solar system. At the Sun, NASA’s Parker Solar Probe closely observes our closest star, including magnetic reconnection there and its role in heating and accelerating the solar wind that drives the reconnection events investigated by TRACERS.
Data from recently launched NASA missions, EZIE (Electrojet Zeeman Imaging Explorer), studying electrical currents at Earth’s nightside, and PUNCH (Polarimeter to Unify the Corona and Heliosphere) studying the solar wind and interactions in Earth’s atmosphere, can be combined with observations from TRACERS. With research from these missions, scientists will be able to get a more complete understanding of how and when Earth’s protective magnetic shield can suddenly connect with solar wind, allowing the Sun’s material into Earth’s system.
“The TRACERS mission will be an important addition to NASA’s heliophysics fleet.” said Reinhard Friedel, TRACERS program scientist at NASA Headquarters in Washington. “The missions in the fleet working together increase understanding of our closest star to improve our ability to understand, predict, and prepare for space weather impacts on humans and technology in space.”
The TRACERS mission is led by David Miles at the University of Iowa with support from the Southwest Research Institute in San Antonio, Texas. NASA’s Heliophysics Explorers Program Office at NASA’s Goddard Space Flight Center in Greenbelt, Maryland, manages the mission for the agency’s Heliophysics Division at NASA Headquarters in Washington. The University of Iowa, Southwest Research Institute, University of California, Los Angeles, and the University of California, Berkeley, all lead instruments on TRACERS that study changes in the magnetic field and electric field. NASA’s Launch Services Program, based at the agency’s Kennedy Space Center in Florida, manages the VADR (Venture-class Acquisition of Dedicated and Rideshare) contract.
by Desiree Apodaca
NASA’s Goddard Space Flight Center, Greenbelt, Md.
Header Image:
An artist’s concept of the TRACERS mission, which will help research magnetic reconnection and its effects in Earth’s atmosphere.
Credits: Andy Kale
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Last Updated Jul 16, 2025 Related Terms
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Curiosity Navigation Curiosity Home Mission Overview Where is Curiosity? Mission Updates Science Overview Instruments Highlights Exploration Goals News and Features Multimedia Curiosity Raw Images Images Videos Audio Mosaics More Resources Mars Missions Mars Sample Return Mars Perseverance Rover Mars Curiosity Rover MAVEN Mars Reconnaissance Orbiter Mars Odyssey More Mars Missions Mars Home 2 min read
Curiosity Blog, Sols 4600-4601: Up and Over the Sand Covered Ramp
NASA’s Mars rover Curiosity acquired this image using its Left Navigation Camera on July 13, 2025 — Sol 4598, or Martian day 4,598 of the Mars Science Laboratory mission — at 15:24:10 UTC. NASA/JPL-Caltech Written by Sharon Wilson Purdy, Planetary Geologist at the Smithsonian National Air and Space Museum
Earth planning date: Monday, July 14, 2025
The Curiosity rover continues to navigate through the region of Mount Sharp characterized by the boxwork terrain. After successfully completing a drive of about 34 meters over the weekend (about 112 feet), the rover parked near the edge of a smooth, sandy stretch at the base of a ridge that leads to the most prominent and complex network of boxwork structures seen so far.
Due to the lack of exposed bedrock in the immediate workspace, the science team opted to give some of the rover’s contact science instruments a break. With the dust removal tool (DRT) and APXS instruments stowed, the extra energy allowed the Mars Hand Lens Imager (MAHLI) to take high resolution images of “Playa de la Gallina” to survey the uniform, smooth surface consisting of sand and pebble-sized material.
The ChemCam and Mastcam teams scheduled several observations in this two-sol plan that further investigated the rocks and structures in our immediate vicinity and surroundings. ChemCam LIBS was used to target “El Olivo” to determine the chemistry of the bumpy textured bedrock near the rover, which was also imaged by a Mastcam stereo mosaic. Additional Mastcam stereo mosaics include fractures at “El Corral” and linear troughs at “Chapare.” Further away, ChemCam’s Remote Micro Imager (RMI) will provide insight into an intriguing section of scoured features within the Mishe Mokwa butte.
The environmental working group continues to keep an eye in the sky and planned a supra-horizon movie and a dust-devil survey as part of their ongoing monitoring campaign of the atmospheric conditions in Gale Crater.
The 21-meter-long drive (about 69 feet) at the end of this plan will maneuver the rover past the sandy ramp to the top of the main boxwork region. From here, the science team will be able to explore this fascinating area of particularly large boxwork structures. Stay tuned as Curiosity continues to climb higher and delve deeper into the geologic history of Mars!
For more Curiosity blog posts, visit MSL Mission Updates
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By Space Force
Colorado Springs is playing host to the DOD Warrior Games July 18-26, and for the first time, Guardians are among the nearly 200 wounded, ill and injured athletes competing in 11 adaptive sports over nine days.
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6 min read
Smarter Searching: NASA AI Makes Science Data Easier to Find
Image snapshot taken from NASA Worldview of NASA’s Global Precipitation Measurement (GPM) mission on March 15, 2025 showing heavy rain across the southeastern U.S. with an overlay of the GCMD Keyword Recommender for Earth Science, Atmosphere, Precipitation, Droplet Size. NASA Worldview Imagine shopping for a new pair of running shoes online. If each seller described them differently—one calling them “sneakers,” another “trainers,” and someone else “footwear for exercise”—you’d quickly feel lost in a sea of mismatched terminology. Fortunately, most online stores use standardized categories and filters, so you can click through a simple path: Women’s > Shoes > Running Shoes—and quickly find what you need.
Now, scale that problem to scientific research. Instead of sneakers, think “aerosol optical depth” or “sea surface temperature.” Instead of a handful of retailers, it is thousands of researchers, instruments, and data providers. Without a common language for describing data, finding relevant Earth science datasets would be like trying to locate a needle in a haystack, blindfolded.
That’s why NASA created the Global Change Master Directory (GCMD), a standardized vocabulary that helps scientists tag their datasets in a consistent and searchable way. But as science evolves, so does the challenge of keeping metadata organized and discoverable.
To meet that challenge, NASA’s Office of Data Science and Informatics (ODSI) at the agency’s Marshall Space Flight Center (MSFC) in Huntsville, Alabama, developed the GCMD Keyword Recommender (GKR): a smart tool designed to help data providers and curators assign the right keywords, automatically.
Smarter Tagging, Accelerated Discovery
The upgraded GKR model isn’t just a technical improvement; it’s a leap forward in how we organize and access scientific knowledge. By automatically recommending precise, standardized keywords, the model reduces the burden on human curators while ensuring metadata quality remains high. This makes it easier for researchers, students, and the public to find exactly the datasets they need.
It also sets the stage for broader applications. The techniques used in GKR, like applying focal loss to rare-label classification problems and adapting pre-trained transformers to specialized domains, can benefit fields well beyond Earth science.
Metadata Matchmaker
The newly upgraded GKR model tackles a massive challenge in information science known as extreme multi-label classification. That’s a mouthful, but the concept is straightforward: Instead of predicting just one label, the model must choose many, sometimes dozens, from a set of thousands. Each dataset may need to be tagged with multiple, nuanced descriptors pulled from a controlled vocabulary.
Think of it like trying to identify all the animals in a photograph. If there’s just a dog, it’s easy. But if there’s a dog, a bird, a raccoon hiding behind a bush, and a unicorn that only shows up in 0.1% of your training photos, the task becomes far more difficult. That’s what GKR is up against: tagging complex datasets with precision, even when examples of some keywords are scarce.
And the problem is only growing. The new version of GKR now considers more than 3,200 keywords, up from about 430 in its earlier iteration. That’s a sevenfold increase in vocabulary complexity, and a major leap in what the model needs to learn and predict.
To handle this scale, the GKR team didn’t just add more data; they built a more capable model from the ground up. At the heart of the upgrade is INDUS, an advanced language model trained on a staggering 66 billion words drawn from scientific literature across disciplines—Earth science, biological sciences, astronomy, and more.
NASA ODSI’s GCMD Keyword Recommender AI model automatically tags scientific datasets with the help of INDUS, a large language model trained on NASA scientific publications across the disciplines of astrophysics, biological and physical sciences, Earth science, heliophysics, and planetary science. NASA “We’re at the frontier of cutting-edge artificial intelligence and machine learning for science,” said Sajil Awale, a member of the NASA ODSI AI team at MSFC. “This problem domain is interesting, and challenging, because it’s an extreme classification problem where the model needs to differentiate even very similar keywords/tags based on small variations of context. It’s exciting to see how we have leveraged INDUS to build this GKR model because it is designed and trained for scientific domains. There are opportunities to improve INDUS for future uses.”
This means that the new GKR isn’t just guessing based on word similarities; it understands the context in which keywords appear. It’s the difference between a model knowing that “precipitation” might relate to weather versus recognizing when it means a climate variable in satellite data.
And while the older model was trained on only 2,000 metadata records, the new version had access to a much richer dataset of more than 43,000 records from NASA’s Common Metadata Repository. That increased exposure helps the model make more accurate predictions.
The Common Metadata Repository is the backend behind the following data search and discovery services:
Earthdata Search International Data Network Learning to Love Rare Words
One of the biggest hurdles in a task like this is class imbalance. Some keywords appear frequently; others might show up just a handful of times. Traditional machine learning approaches, like cross-entropy loss, which was used initially to train the model, tend to favor the easy, common labels, and neglect the rare ones.
To solve this, NASA’s team turned to focal loss, a strategy that reduces the model’s attention to obvious examples and shifts focus toward the harder, underrepresented cases.
The result? A model that performs better across the board, especially on the keywords that matter most to specialists searching for niche datasets.
From Metadata to Mission
Ultimately, science depends not only on collecting data, but on making that data usable and discoverable. The updated GKR tool is a quiet but critical part of that mission. By bringing powerful AI to the task of metadata tagging, it helps ensure that the flood of Earth observation data pouring in from satellites and instruments around the globe doesn’t get lost in translation.
In a world awash with data, tools like GKR help researchers find the signal in the noise and turn information into insight.
Beyond powering GKR, the INDUS large language model is also enabling innovation across other NASA SMD projects. For example, INDUS supports the Science Discovery Engine by helping automate metadata curation and improving the relevancy ranking of search results.The diverse applications reflect INDUS’s growing role as a foundational AI capability for SMD.
The INDUS large language model is funded by the Office of the Chief Science Data Officer within NASA’s Science Mission Directorate at NASA Headquarters in Washington. The Office of the Chief Science Data Officer advances scientific discovery through innovative applications and partnerships in data science, advanced analytics, and artificial intelligence.
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Last Updated Jul 09, 2025 Related Terms
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