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Early Adopters of NASA’s PACE Data to Study Air Quality, Ocean Health
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By NASA
The crew of NASA’s SpaceX Crew-11 mission sit inside a Dragon training spacecraft at SpaceX in Hawthorne, California. Pictured from left: Roscosmos cosmonaut Oleg Platonov, NASA astronauts Mike Fincke and Zena Cardman, and JAXA (Japan Aerospace Exploration Agency) astronaut Kimiya Yui (Credit: SpaceX). NASA’s SpaceX Crew-11 mission is set to launch a four-person crew to the International Space Station later this summer. Some of the crew have volunteered to participate in a series of experiments to address health challenges astronauts may face on deep space missions during NASA’s Artemis campaign and future human expeditions to Mars.
The research during Crew-11 includes simulated lunar landings, tactics to safeguard vision, and other human physiology studies led by NASA’s Human Research Program.
Select crew members will participate in a series of simulated Moon landings, before, during, and after their flight. Using a handheld controller and multiple screens, the astronauts will fly through simulated scenarios created to resemble the lunar South Pole region that Artemis crews plan to visit. This experiment allows researchers to evaluate how different gravitational forces may disorient astronauts and affect their ability to pilot a spacecraft, like a lunar lander.
“Even though many landing tasks are automated, astronauts must still know how to monitor the controls and know when to take over to ensure a safe landing,” said Scott Wood, a neuroscientist at NASA’s Johnson Space Center in Houston coordinating the scientific investigation. “Our study assesses exactly how changes in gravity affect spatial awareness and piloting skills that are important for navigating these scenarios.”
A ground control group completing the same tasks over a similar timeframe will help scientists better understand gravitational effects on human performance. The experiment’s results could inform the pilot training needed for future Artemis crews.
“Experiencing weightlessness for months and then feeling greater levels of gravity on a planet like Mars, for example, may increase the risk of disorientation,” said Wood. “Our goal is to help astronauts adapt to any gravitational change, whether it’s to the Moon, a new planet, or landing back on Earth.”
Other studies during the mission will explore possible ways to treat or prevent a group of eye and brain changes that can occur during long-duration space travel, called spaceflight associated neuro-ocular syndrome (SANS).
Some researchers suspect the redistribution of bodily fluids in constant weightlessness may increase pressure in the head and contribute to SANS. One study will investigate fluid pressure on the brain while another will examine how the body processes B vitamins and whether supplements can affect how astronauts respond to bodily fluid shifts. Participating crew members will test whether a daily B vitamin supplement can eliminate or ease symptoms of SANS. Specific crew members also will wear thigh cuffs to keep bodily fluids from traveling headward.
Crew members also will complete another set of experiments, called CIPHER (Complement of Integrated Protocols for Human Exploration Research), which measures how multiple systems within the human body change in space. The study includes vision assessments, MRI scans, and other medical exams to provide a complete overview of the whole body’s response to long-duration spaceflight.
Several other studies involving human health and performance are also a part of Crew-11’s science portfolio. Crew members will contribute to a core set of measurements called Spaceflight Standard Measures, which collects physical data and biological samples from astronauts and stores them for other comparative studies. Participants will supply biological samples, such as blood and urine, for a study characterizing how spaceflight alters astronauts’ genetic makeup. In addition, volunteers will test different exercise regimens to help scientists explore what activities remain essential for long-duration journeys.
After landing, participating crew members will complete surveys to track any discomfort, such as scrapes or bruises, acquired from re-entry. The data will help clarify whether mission length increases injury risks and could help NASA design landing systems on future spacecraft as NASA prepares to travel to the Moon, Mars, and beyond.
NASA’s Human Research Program pursues methods and technologies to support safe, productive human space travel. Through science conducted in laboratories, ground-based analogs, and aboard the International Space Station, the program investigates how spaceflight affects human bodies and behaviors. Such research drives NASA’s quest to innovate ways that keep astronauts healthy and mission-ready.
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By NASA
The TRACERS (Tandem Reconnection and Cusp Electrodynamics Reconnaissance Satellites) mission will help scientists understand an explosive process called magnetic reconnection and its effects in Earth’s atmosphere. Credit: University of Iowa/Andy Kale NASA will hold a media teleconference at 11 a.m. EDT on Thursday, July 17, to share information about the agency’s upcoming Tandem Reconnection and Cusp Electrodynamics Reconnaissance Satellites, or TRACERS, mission, which is targeted to launch no earlier than late July.
The TRACERS mission is a pair of twin satellites that will study how Earth’s magnetic shield — the magnetosphere — protects our planet from the supersonic stream of material from the Sun called solar wind. As they fly pole to pole in a Sun-synchronous orbit, the two TRACERS spacecraft will measure how magnetic explosions send these solar wind particles zooming down into Earth’s atmosphere — and how these explosions shape the space weather that impacts our satellites, technology, and astronauts.
Also launching on this flight will be three additional NASA-funded payloads. The Athena EPIC (Economical Payload Integration Cost) SmallSat, led by NASA’s Langley Research Center in Hampton, Virginia, is designed to demonstrate an innovative, configurable way to put remote-sensing instruments into orbit faster and more affordably. The Polylingual Experimental Terminal technology demonstration, managed by the agency’s SCaN (Space Communications and Navigation) program, will showcase new technology that empowers missions to roam between communications networks in space, like cell phones roam between providers on Earth. Finally, the Relativistic Electron Atmospheric Loss (REAL) CubeSat, led by Dartmouth College in Hanover, New Hampshire, will use space as a laboratory to understand how high-energy particles within the bands of radiation that surround Earth are naturally scattered into the atmosphere, aiding the development of methods for removing these damaging particles to better protect satellites and the critical ground systems they support.
Audio of the teleconference will stream live on the agency’s website at:
nasa.gov/live
Participants include:
Joe Westlake, division director, Heliophysics, NASA Headquarters Kory Priestley, principal investigator, Athena EPIC, NASA Langley Greg Heckler, deputy program manager for capability development, SCaN, NASA Headquarters David Miles, principal investigator for TRACERS, University of Iowa Robyn Millan, REAL principal investigator, Dartmouth College To participate in the media teleconference, media must RSVP no later than 10 a.m. on July 17 to Sarah Frazier at: sarah.frazier@nasa.gov. NASA’s media accreditation policy is available online.
The TRACERS mission will launch on a SpaceX Falcon 9 rocket from Space Launch Complex 4 East at Vandenberg Space Force Base in California.
This mission is led by David Miles at the University of Iowa with support from the Southwest Research Institute in San Antonio. NASA’s Heliophysics Explorers Program Office at the agency’s Goddard Space Flight Center in Greenbelt, Maryland, manages the mission for the agency’s HeliophysicsDivision at NASA Headquarters in Washington. The University of Iowa, Southwest Research Institute, University of California, Los Angeles, and University of California, Berkeley, all lead instruments on TRACERS that will study changes in the Earth’s magnetic field and electric field. NASA’s Launch Services Program, based at the agency’s Kennedy Space Center in Florida, manages the Venture-class Acquisition of Dedicated and Rideshare contract.
To learn more about TRACERS, please visit:
nasa.gov/tracers
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Abbey Interrante / Karen Fox
Headquarters, Washington
301-201-0124 / 202-358-1600
abbey.a.interrante@nasa.gov / karen.c.fox@nasa.gov
Sarah Frazier
Goddard Space Flight Center, Greenbelt, Maryland
202-853-7191
sarah.frazier@nasa.gov
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Last Updated Jul 10, 2025 LocationNASA Headquarters Related Terms
Earth Heliophysics Science Mission Directorate Solar Wind TRACERS View the full article
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By NASA
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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By NASA
4 min read
Preparations for Next Moonwalk Simulations Underway (and Underwater)
Since launching in 2023, NASA’s Tropospheric Emissions: Monitoring of Pollution mission, or TEMPO, has been measuring the quality of the air we breathe from 22,000 miles above the ground. June 19 marked the successful completion of TEMPO’s 20-month-long initial prime mission, and based on the quality of measurements to date, the mission has been extended through at least September 2026. The TEMPO mission is NASA’s first to use a spectrometer to gather hourly air quality data continuously over North America during daytime hours. It can see details down to just a few square miles, a significant advancement over previous satellites.
“NASA satellites have a long history of missions lasting well beyond the primary mission timeline. While TEMPO has completed its primary mission, the life for TEMPO is far from over,” said Laura Judd, research physical scientist and TEMPO science team member at NASA’s Langley Research Center in Hampton, Virginia. “It is a big jump going from once-daily images prior to this mission to hourly data. We are continually learning how to use this data to interpret how emissions change over time and how to track anomalous events, such as smoggy days in cities or the transport of wildfire smoke.”
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By measuring nitrogen dioxide (NO2) and formaldehyde (HCHO), TEMPO can derive the presence of near-surface ozone. On Aug. 2, 2024 over Houston, TEMPO observed exceptionally high ozone levels in the area. On the left, NO2 builds up in the atmosphere over the city and over the Houston Ship Channel. On the right, formaldehyde levels are seen reaching a peak in the early afternoon. Formaldehyde is largely formed through the oxidation of hydrocarbons, an ingredient of ozone production, such as those that can be emitted by petrochemical facilities found in the Houston Ship Channel. Trent Schindler/NASA's Scientific Visualization Studio When air quality is altered by smog, wildfire smoke, dust, or emissions from vehicle traffic and power plants, TEMPO detects the trace gases that come with those effects. These include nitrogen dioxide, ozone, and formaldehyde in the troposphere, the lowest layer of Earth’s atmosphere.
“A major breakthrough during the primary mission has been the successful test of data delivery in under three hours with the help of NASA’s Satellite Needs Working Group. This information empowers decision-makers and first responders to issue timely air quality warnings and help the public reduce outdoor exposure during times of higher pollution,” said Hazem Mahmoud, lead data scientist at NASA’s Atmospheric Science Data Center located at Langley Research Center.
…the substantial demand for TEMPO's data underscores its critical role…
hazem mahmoud
NASA Data Scientist
TEMPO data is archived and distributed freely through the Atmospheric Science Data Center. “The TEMPO mission has set a groundbreaking record as the first mission to surpass two petabytes, or 2 million gigabytes, of data downloads within a single year,” said Mahmoud. “With over 800 unique users, the substantial demand for TEMPO’s data underscores its critical role and the immense value it provides to the scientific community and beyond.” Air quality forecasters, atmospheric scientists, and health researchers make up the bulk of the data users so far.
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On April 14, strong winds triggered the formation of a huge dust storm in the U.S. central plains and fueled the ignition of grassland fires in Oklahoma. On the left, the NO2 plumes originating from the grassland fires are tracked hour-by-hour by TEMPO. Smoke can be discerned from dust as a source since dust is not a source of NO2. The animation on the right shows the ultraviolet (UV) aerosol index, which indicates particulates in the atmosphere that absorb UV light, such as dust and smoke. Trent Schindler/NASA's Scientific Visualization Studio The TEMPO mission is a collaboration between NASA and the Smithsonian Astrophysical Observatory, whose Center for Astrophysics Harvard & Smithsonian oversees daily operations of the TEMPO instrument and produces data products through its Instrument Operations Center.
Datasets from TEMPO will be expanded through collaborations with partner agencies like the National Oceanic and Atmospheric Administration (NOAA), which is deriving aerosol products that can distinguish between smoke and dust particles and offer insights into their altitude and concentration.
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On May 5, TEMPO measured NO2 emissions over the Twin Cities in the center of Minnesota during morning rush hour. The NO2 increases seen mid-day through the early evening hours are illustrated by the red and black shaded areas at the Red River Valley along the North Dakota state line. These levels are driven by emissions from the soils in agriculturally rich areas. Agricultural soil emissions are influenced by environmental factors like temperature and moisture as well as fertilizer application. Small fires and enhancements from mining activities can also be seen popping up across the region through the afternoon.Trent Schindler/NASA's Scientific Visualization Studio “These datasets are being used to inform the public of rush-hour pollution, air quality alerts, and the movement of smoke from forest fires,” said Xiong Liu, TEMPO’s principal investigator at the Center for Astrophysics Harvard & Smithsonian. “The library will soon grow with the important addition of aerosol products. Users will be able to use these expanded TEMPO products for air quality monitoring, improving forecast models, deriving pollutant amounts in emissions and many other science applications.”
The TEMPO mission detects and highlights movement of smoke originating from fires burning in Manitoba on June 2. Seen in purple hues are observations made by TEMPO in the ultraviolet spectrum compared to Advanced Baseline Imagers (ABIs) on NOAA’s GOES-R series of weather satellites that do not have the needed spectral coverage. The NOAA GOES-R data paired with NASA’s TEMPO data enhance state and local agencies’ ability to provide near-real-time smoke and dust impacts in local air quality forecasts.NOAA/NESDIS/Center for Satellite Applications and Research “The TEMPO data validation has truly been a community effort with over 20 agencies at the federal and international level, as well as a community of over 200 scientists at research and academic institutions,” Judd added. “I look forward to seeing how TEMPO data will help close knowledge gaps about the timing, sources, and evolution of air pollution from this unprecedented space-based view.”
An agency review will take place in the fall to assess TEMPO’s achievements and extended mission goals and identify lessons learned that can be applied to future missions.
The TEMPO mission is part of NASA’s Earth Venture Instrument program, which includes small, targeted science investigations designed to complement NASA’s larger research missions. The instrument also forms part of a virtual constellation of air quality monitors for the Northern Hemisphere which includes South Korea’s Geostationary Environment Monitoring Spectrometer and ESA’s (European Space Agency) Sentinel-4 satellite. TEMPO was built by BAE Systems Inc., Space & Mission Systems (formerly Ball Aerospace). It flies onboard the Intelsat 40e satellite built by Maxar Technologies. The TEMPO Instrument Operations Center and the Science Data Processing Center are operated by the Smithsonian Astrophysical Observatory, part of the Center for Astrophysics | Harvard & Smithsonian in Cambridge.
For more information about the TEMPO instrument and mission, visit:
https://science.nasa.gov/mission/tempo/
About the Author
Charles G. Hatfield
Science Public Affairs Officer, NASA Langley Research Center
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Last Updated Jul 03, 2025 LocationNASA Langley Research Center Related Terms
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By NASA
Lisa Pace knows a marathon when she sees one. An avid runner, she has participated in five marathons and more than 50 half marathons. Though she prefers to move quickly, she also knows the value of taking her time. “I solve most of my problems while running – or realize those problems aren’t worth worrying about,” she said.
She has learned to take a similar approach to her work at NASA’s Johnson Space Center in Houston. “Earlier in my career, I raced to get things done and felt the need to do as much as possible on my own,” she said. “Over time, I’ve learned to trust my team and pause to give others an opportunity to contribute. There are times when quick action is needed, but it is often a marathon, not a sprint.”
Official portrait of Lisa Pace.NASA/Josh Valcarcel Pace is chief of the Exploration Development Integration Division within the Exploration Architecture, Integration, and Science Directorate at Johnson. In that role, she leads a team of roughly 120 civil servants and contractors in providing mission-level system engineering and integration services that bring different architecture elements together to achieve the agency’s goals. Today that team supports Artemis missions, NASA’s Commercial Lunar Payload Services initiative and other areas as needed.
Lisa Pace, seated at the head of the table, leads an Exploration Development Integration Division team meeting at NASA’s Johnson Space Center in Houston. NASA/James Blair “The Artemis missions come together through multiple programs and projects,” Pace explained. “We stitch them together to ensure the end-to-end mission meets its intended requirements. That includes verifying those requirements before flight and ensuring agreements between programs are honored and conflicts resolved.” The division also manages mission-level review and flight readiness processes from planning through execution, up to the final certification of flight readiness.
Leading the division through the planning, launch, and landing of Artemis I was a career highlight for Pace, though she feels fortunate to have worked on many great projects during her time with NASA. “My coolest and most rewarding project involved designing and deploying an orbital debris tracking telescope on Ascension Island about 10 years ago,” she said. “The engineers, scientists, and military personnel I got to work and travel with on that beautiful island is tough to top!”
Pace says luck and great timing led her to NASA. Engineering jobs were plentiful when she graduated from Virginia Tech in 2000, and she quickly received an offer from Lockheed Martin to become a facility engineer in Johnson’s Astromaterials Research and Exploration Science Division, or ARES. “I thought working in the building where they keep the Moon rocks would be cool – and it was! Twenty-five years later, I’m still here,” Pace said.
During that time, she has learned a lot about problem-solving and team building. “I often find that when we disagree over the ‘right’ way to do something, there is no one right answer – it just depends on your perspective,” she said. “I take the time to listen to people, understand their side, and build relationships to find common ground.”
Lisa Pace, right, participates in a holiday competition hosted by her division.Image courtesy of Lisa Pace She also emphasizes the importance of getting to know your colleagues. “Relationships are everything,” she said. “They make the work so much more meaningful. I carry that lesson over to my personal life and value my time with family and friends outside of work.”
Investing time in relationships has given Pace another unexpected skill – that of matchmaker. “I’m responsible for setting up five couples who are now married, and have six kids between them,” she said, adding that she knew one couple from Johnson.
She hopes that strong relationships transfer to the Artemis Generation. “I hope to pass on a strong NASA brand and the family culture that I’ve been fortunate to have, working here for the last 25 years.”
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