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By NASA
NASA Stennis Buffer ZoneNASA / Stennis NASA’s Stennis Space Center is widely known for rocket propulsion testing, especially to support the NASA Artemis program to send astronauts to the Moon to prepare for future human exploration of Mars.
What may not be so widely known is that the site also is a unique federal city, home to more than 50 federal, state, academic, and commercial tenants and serving as both a model of government efficiency and a powerful economic engine for its region.
“NASA Stennis is a remarkable story of vision and innovation,” Center Director John Bailey said. “That was the case 55 years ago when the NASA Stennis federal city was born, and it remains the case today as we collaborate and grow to meet the needs of a changing aerospace world.”
Apollo Years
Nearly four years after its first Saturn V stage test, NASA’s Stennis Space Center faced a crossroads to the future. Indeed, despite its frontline role in supporting NASA’s Apollo lunar effort, it was not at all certain a viable future awaited the young rocket propulsion test site.
In 1961, NASA announced plans to build a sprawling propulsion test site in south Mississippi to support Apollo missions to the Moon. The news was a significant development for the sparsely populated Gulf Coast area.
The new site, located near Bay St. Louis, Mississippi, conducted its first hot fire of a Saturn V rocket stage in April 1966. Saturn V testing progressed steadily during the next years. In fall 1969, however, NASA announced an end to Apollo-related testing, leading to an existential crisis for the young test site.
What was to become of NASA Stennis?
An Expanded Vision
Some observers speculated the location would close or be reduced to caretaker status, with minimal staffing. Either scenario would deliver a serious blow to the families who had re-located to make way for the site and the local communities who had heavily invested in municipal projects to support the influx of workforce personnel.
Such outcomes also would run counter to assurances provided by leaders that the new test site would benefit its surrounding region and involve area residents in “something great.”
For NASA Stennis manager Jackson Balch and others, such a result was unacceptable. Anticipating the crisis, Balch had been working behind the scenes to communicate – and realize – the vision of a multiagency site supporting a range of scientific and technological tenants and missions.
A Pivotal Year
The months following the Saturn V testing announcement were filled with discussions and planning to ensure the future of NASA Stennis. The efforts began to come to fruition in 1970 with key developments:
In early 1970, NASA Administrator Thomas Paine proposed locating a regional environmental center at NASA Stennis. U.S. Sen. John C. Stennis (Mississippi) responded with a message of the president, “urgently requesting” that a National Earth Resources and Environmental Data Program be established at the site. In May 1970, President Richard Nixon offered assurances that an Earth Resources Laboratory would be established at NASA Stennis and that at least two agencies are preparing to locate operations at the site. U.S. congressional leaders earmarked $10 million to enable the location of an Earth Resources Laboratory at NASA Stennis. On July 9, 1970, the U.S. Coast Guard’s National Data Buoy Project (now the National Data Buoy Center) announced it was relocating to NASA Stennis, making it the first federal city tenant. The project arrived onsite two months later on September 9. On Sept. 9, 1970, NASA officially announced establishment of an Earth Resources Laboratory at NASA Stennis. Time to Grow
By the end of 1970, Balch’s vision was taking shape, but it needed time to grow. The final Saturn V test had been conducted in October – with no new campaign scheduled.
A possibility was on the horizon, however. NASA was building a reusable space shuttle vehicle. It would be powered by the most sophisticated rocket engine ever designed – and the agency needed a place to conduct developmental and flight testing expected to last for decades.
Three sites vied for the assignment. Following presentations and evaluations, NASA announced its selection on March 1, 1971. Space shuttle engine testing would be conducted at NASA Stennis, providing time for the location to grow.
A Collaborative Model
By the spring of 1973, preparations for the space shuttle test campaign were progressing and NASA Stennis was on its way to realizing the federal city vision. Sixteen agencies and universities were now located at NASA Stennis.
The resident tenants followed a shared model in which they shared in the cost of basic site services, such as medical, security, and fire protection. The shared model freed up more funding for the tenants to apply towards innovation and assigned mission work. It was a model of government collaboration and efficiency.
As the site grew, leaders then began to call for it to be granted independent status within NASA, a development not long in coming. On June 14, 1974, just more than a decade after site construction began, NASA Administrator James Fletcher announced the south Mississippi location would be renamed National Space Technology Laboratories and would enjoy equal, independent status alongside other NASA centers.
“Something Great”
For NASA Stennis leaders and supporters, independent status represented a milestone moment in their effort to ensure NASA Stennis delivered on its promise of greatness.
There still were many developments to come, including the first space shuttle main engine test and the subsequent 34-year test campaign, the arrival and growth of the U.S. Navy into the predominant resident presence onsite, the renaming of the center to NASA Stennis, and the continued growth of the federal city.
No one could have imagined it all at the time. However, even in this period of early development, one thing was clear – the future lay ahead, and NASA Stennis was on its way.
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Last Updated Sep 09, 2025 EditorNASA Stennis CommunicationsContactC. Lacy Thompsoncalvin.l.thompson@nasa.gov / (228) 688-3333LocationStennis Space Center Related Terms
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By NASA
6 min read
NASA, IBM’s ‘Hot’ New AI Model Unlocks Secrets of Sun
This image from June 20, 2013 shows the bright light of a solar flare and an eruption of solar material shooting through the sun’s atmosphere, called a prominence eruption. Shortly thereafter, this same region of the sun sent a coronal mass ejection out into space — a phenomenon which can cause magnetic storms that degrade communication signals and cause unexpected electrical surges in power grids on Earth. NASA’s new heliophysics AI foundation model, Surya, can help predict these storms. NASA/Goddard/SDO NASA is turning up the heat in solar science with the launch of the Surya Heliophysics Foundational Model, an artificial intelligence (AI) model trained on 14 years of observations from NASA’s Solar Dynamics Observatory.
Developed by NASA in partnership with IBM and others, Surya uses advances in AI to analyze vast amounts of solar data, helping scientists better understand solar eruptions and predict space weather that threatens satellites, power grids, and communication systems. The model can be used to provide early warnings to satellite operators and helps scientists predict how the Sun’s ultraviolet output affects Earth’s upper atmosphere.
Preliminary results show Surya is making strides in solar flare forecasting, a long-standing challenge in heliophysics. Surya, with its ability to generate visual predictions of solar flares two hours into the future, marks a major step towards the use of AI for operational space weather prediction. These initial results surpass existing benchmarks by 15%. By providing open access to the model on HuggingFace and the code on GitHub, NASA encourages the science and applications community to test and explore this AI model for innovative solutions that leverage the unique value of continuous, stable, long-duration datasets from the Solar Dynamics Observatory.
Illustrations of Solar Dynamics Observatory solar imagery used for training Surya: Solar coronal ultraviolet and extreme ultraviolet images from the Atmospheric Imaging Assembly (AIA) and solar surface velocity and magnetic field maps from the Helioseismic and Magnetic Imager (HMI). NASA/SDO The model’s success builds directly on the Solar Dynamics Observatory’s long-term database. Launched in 2010, NASA’s Solar Dynamics Observatory has provided an unbroken, high-resolution record of the Sun for nearly 15 years through capturing images every 12 seconds in multiple wavelengths, plus precise magnetic field measurements. This stable, well-calibrated dataset, spanning an entire solar cycle, is uniquely suited for training AI models like Surya, enabling them to detect subtle patterns in solar behavior that shorter datasets would miss.
Surya’s strength lies in its foundation model architecture, which learns directly from raw solar data. Unlike traditional AI systems that require extensive labeling, Surya can adapt quickly to new tasks and applications. Applications include tracking active regions, forecasting flare activity, predicting solar wind speed, and integrating data from other observatories including the joint NASA-ESA Solar and Heliospheric Observatory mission and NASA’s Parker Solar Probe.
“We are advancing data-driven science by embedding NASA’s deep scientific expertise into cutting-edge AI models,” said Kevin Murphy, chief science data officer at NASA Headquarters in Washington. “By developing a foundation model trained on NASA’s heliophysics data, we’re making it easier to analyze the complexities of the Sun’s behavior with unprecedented speed and precision. This model empowers broader understanding of how solar activity impacts critical systems and technologies that we all rely on here on Earth.”
These images compare the ground-truth data (right) with model output (center) for solar flares, which are the events behind most space weather. Surya’s prediction is very close to what happened in reality (right). These preliminary results suggest that Surya has learned enough solar physics to predict the structure and evolution of a solar flare by looking at its beginning phase. NASA/SDO/ODSI IMPACT AI Team Solar storms pose significant risks to our technology-dependent society. Powerful solar events energize Earth’s ionosphere, resulting in substantial GPS errors or complete signal loss to satellite communications. They also pose risks to power grids, as geomagnetically induced currents from coronal mass ejections can overload transformers and trigger widespread outages.
In commercial aviation, solar flares can disrupt radio communications and navigation systems while exposing high-altitude flights to increased radiation. The stakes are even higher for human spaceflight. Astronauts bound for the Moon or Mars may need to depend on precise predictions to shelter from intense radiation during solar particle events.
The Sun’s influence extends to the growing number of low Earth orbit satellites, including those that deliver global high-speed internet. As solar activity intensifies, it heats Earth’s upper atmosphere, increasing drag that slows satellites, pulls them from orbit, and causes premature reentry. Satellite operators often struggle to forecast where and when solar flares might affect these satellites.
The “ground truth” solar activity is shown on the top row. The bottom row shows solar activity predicted by Surya. NASA/SDO/ODSI IMPACT AI Team “Our society is built on technologies that are highly susceptible to space weather,” said Joseph Westlake, Heliophysics Division director at NASA Headquarters. “Just as we use meteorology to forecast Earth’s weather, space weather forecasts predict the conditions and events in the space environment that can affect Earth and our technologies. Applying AI to data from our heliophysics missions is a vital step in increasing our space weather defense to protect astronauts and spacecraft, power grids and GPS, and many other systems that power our modern world.”
While Surya is designed to study the Sun, its architecture and methodology are adaptable across scientific domains. From planetary science to Earth observation, the project lays the foundational infrastructure for similar AI efforts in diverse domains.
Surya is part of a broader NASA push to develop open-access, AI-powered science tools. Both the model and training datasets are freely available online to researchers, educators, and students worldwide, lowering barriers to participation and sparking new discoveries.
The process for creating Surya. Foundation models enhance the utility of NASA’s Solar Dynamics Observatory datasets and create a base for building new applications. NASA/ODSI IMPACT AI Team Surya’s training was supported in part by the National Artificial Intelligence Research Resource (NAIRR) Pilot, a National Science Foundation (NSF)-led initiative that provides researchers with access to advanced computing, datasets, and AI tools. The NAIRR Pilot brings together federal and industry resources, such as computing power from NVIDIA, to expand access to the infrastructure needed for cutting-edge AI research.
“This project shows how the NAIRR Pilot is uniting federal and industry AI resources to accelerate scientific breakthroughs,” said Katie Antypas, director of NSF’s Office of Advanced Cyberinfrastructure. “With support from NVIDIA and NSF, we’re not only enabling today’s research, we’re laying the groundwork for a national AI network to drive tomorrow’s discoveries.”
Surya is part of a larger effort championed and supported by NASA’s Office of the Chief Science Data Officer and Heliophysics Division, the NSF , and partnering universities to advance NASA’s scientific missions through innovative data science and AI models. Surya’s AI architecture was jointly developed by the Interagency Implementation and Advanced Concepts Team (IMPACT) under the Office of Data Science and Informatics at NASA’s Marshall Space Flight Center in Huntsville, Alabama; IBM; and a collaborative science team.
The science team, assembled by NASA Headquarters, consisted of experts from the Southwest Research Institute in San Antonio, Texas; the University of Alabama in Huntsville in Huntsville, Alabama; the University of Colorado Boulder in Boulder, Colorado; Georgia State University in Atlanta, Georgia; Princeton University in Princeton, New Jersey; NASA’s SMD’s Heliophysics Division; NASA’s Goddard Space Flight Center in Greenbelt, Maryland; NASA’s Jet Propulsion Laboratory in Pasadena, California; and the SETI Institute in Mountain View, California.
For a behind-the-scenes dive into Surya’s architecture, industry and academic collaborations, challenges behind developing the model, read the blog post on NASA’s Science Data Portal:
https://science.data.nasa.gov/features-events/inside-surya-solar-ai-model
For more information about NASA’s strategy of developing foundation models for science, visit:
https://science.nasa.gov/artificial-intelligence-science
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Last Updated Aug 20, 2025 Related Terms
Science & Research Artificial Intelligence (AI) Heliophysics Solar Dynamics Observatory (SDO) The Sun The Sun & Solar Physics Explore More
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By NASA
2 min read
Preparations for Next Moonwalk Simulations Underway (and Underwater)
Here you see the X-59 scaled model inside the JAXA supersonic wind tunnel during critical tests related to sound predictions.JAXA Researchers from NASA and the Japanese Aerospace Exploration Agency (JAXA) recently tested a scale model of the X-59 experimental aircraft in a supersonic wind tunnel located in Chofu, Japan, to assess the noise audible underneath the aircraft.
The test was an important milestone for NASA’s one-of-a-kind X-59, which is designed to fly faster than the speed of sound without causing a loud sonic boom.
When the X-59 flies, sound underneath it – a result of its pressure signature – will be a critical factor for what people hear on the ground.
The X-59 is 99.7 feet long, with a wingspan of 29.7 feet. The JAXA wind tunnel, on the other hand, is just over 3 feet long by 3 feet wide.
So, researchers used a model scaled to just 1.62% of the actual aircraft – about 19 inches nose-to-tail. They exposed it to conditions mimicking the X-plane’s planned supersonic cruising speed of Mach 1.4, or approximately 925 miles per hour.
The series of tests performed at JAXA allowed NASA researchers to gather critical experimental data to compare to their predictions derived through Computational Fluid Dynamics modeling, which include how air will flow around the aircraft.
This marked the third round of wind tunnel tests for the X-59 model, following a previous test at JAXA and at NASA’s Glenn Research Center in Ohio.
The data will help researchers understand the noise level that will be created by the shock waves the X-59 produces at supersonic speeds.
The shock waves from traditional supersonic aircraft typically merge together, producing a loud sonic boom. The X-59’s unique design works to keep shock waves from merging, will result in a quieter sonic thump.
The X-59 was built in Palmdale, California at contractor Lockheed Martin Skunk Works and is undergoing final ground tests en route to its historic first flight this year.
NASA’s Quesst mission aims to help change the future of quiet supersonic travel using the X-59. The experimental aircraft allow the Quesst team to gather public feedback on acceptable sound levels for quiet supersonic flight.
Through Quesst’s development of the X-59, NASA will deliver design tools and technology for quiet supersonic airliners that will achieve the high speeds desired by commercial operators without creating disturbance to people on the ground.
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Last Updated Jul 11, 2025 EditorLillian GipsonContactJim Bankejim.banke@nasa.gov Related Terms
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By NASA
2 min read
Preparations for Next Moonwalk Simulations Underway (and Underwater)
NASA’s Sustainable Flight Demonstrator project concluded wind tunnel testing in the fall of 2024. Tests on a Boeing-built X-66 model were completed at NASA’s Ames Research Center in California’s Silicon Valley in its 11-Foot Transonic Unitary Plan Facility. The model underwent tests representing expected flight conditions to obtain engineering information to influence design of the wing and provide data for flight simulators.NASA/Brandon Torres Navarrete NASA’s Sustainable Flight Demonstrator (SFD) project recently concluded wind tunnel tests of its X-66 semi-span model in partnership with Boeing. The model, designed to represent half the aircraft, allows the research team to generate high-quality data about the aerodynamic forces that would affect the actual X-66.
Test results will help researchers identify areas where they can refine the X-66 design – potentially reducing drag, enhancing fuel efficiency, or adjusting the vehicle shape for better flying qualities.
Tests on the Boeing-built X-66 semi-span model were completed at NASA’s Ames Research Center in California’s Silicon Valley in its 11-Foot Transonic Unitary Plan Facility. The model underwent tests representing expected flight conditions so the team could obtain engineering information to influence the design of the aircraft’s wing and provide data for flight simulators.
NASA’s Sustainable Flight Demonstrator project concluded wind tunnel testing in the fall of 2024. Tests on a Boeing-built X-66 model were completed at NASA’s Ames Research Center in California’s Silicon Valley in its 11-Foot Transonic Unitary Plan Facility. Pressure points, which are drilled holes with data sensors attached, are installed along the edge of the wing and allow engineers to understand the characteristics of airflow and will influence the final design of the wing.NASA/Brandon Torres Navarrete Semi-span tests take advantage of symmetry. The forces and behaviors on a model of half an aircraft mirror those on the other half. By using a larger half of the model, engineers increase the number of surface pressure measurements. Various sensors were placed on the wing to measure forces and movements to calculate lift, drag, stability, and other important characteristics.
The semi-span tests follow earlier wind tunnel work at NASA’s Langley Research Center in Hampton, Virginia, using a smaller model of the entire aircraft. Engineers will study the data from all of the X-66 wind tunnel tests to determine any design changes that should be made before fabrication begins on the wing that will be used on the X-66 itself.
The SFD project is NASA’s effort to develop more efficient aircraft configurations as the nation moves toward aviation that’s more economically, societally, and environmentally sustainable. The project seeks to provide information to inform the next generation of single-aisle airliners, the most common aircraft in commercial aviation fleets around the world. Boeing and NASA are partnering to develop the X-66 experimental demonstrator aircraft.
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Last Updated Feb 05, 2025 EditorDede DiniusContactSarah Mannsarah.mann@nasa.govLocationArmstrong Flight Research Center Related Terms
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By NASA
At Goddard Space Flight Center, the GSFC Data Science Group has completed the testing for their SatVision Top-of-Atmosphere (TOA) Foundation Model, a geospatial foundation model for coarse-resolution all-sky remote sensing imagery. The team, comprised of Mark Carroll, Caleb Spradlin, Jordan Caraballo-Vega, Jian Li, Jie Gong, and Paul Montesano, has now released their model for wide application in science investigations.
Foundation models can transform the landscape of remote sensing (RS) data analysis by enabling the pre-training of large computer-vision models on vast amounts of remote sensing data. These models can be fine-tuned with small amounts of labeled training and applied to various mapping and monitoring applications. Because most existing foundation models are trained solely on cloud-free satellite imagery, they are limited to applications of land surface or require atmospheric corrections. SatVision-TOA is trained on all-sky conditions which enables applications involving atmospheric variables (e.g., cloud or aerosol).
SatVision TOA is a 3 billion parameter model trained on 100 million images from Moderate Resolution Imaging Spectroradiometer (MODIS). This is, to our knowledge, the largest foundation model trained solely on satellite remote sensing imagery. By including “all-sky” conditions during pre-training, the team incorporated a range of cloud conditions often excluded in traditional modeling. This enables 3D cloud reconstruction and cloud modeling in support of Earth and climate science, offering significant enhancement for large-scale earth observation workflows.
With an adaptable and scalable model design, SatVision-TOA can unify diverse Earth observation datasets and reduce dependency on task-specific models. SatVision-TOA leverages one of the largest public datasets to capture global contexts and robust features. The model could have broad applications for investigating spectrometer data, including MODIS, VIIRS, and GOES-ABI. The team believes this will enable transformative advancements in atmospheric science, cloud structure analysis, and Earth system modeling.
The model architecture and model weights are available on GitHub and Hugging Face, respectively. For more information, including a detailed user guide, see the associated white paper: SatVision-TOA: A Geospatial Foundation Model for Coarse-Resolution All-Sky Remote Sensing Imagery.
Examples of image reconstruction by SatVision-TOA. Left: MOD021KM v6.1 cropped image chip using MODIS bands [1, 3, 2]. Middle: The same images with randomly applied 8×8 mask patches, masking 60% of the original image. Right: The reconstructed images produced by the model, along with their respective Structural Similarity Index Measure (SSIM) scores. These examples illustrate the model’s ability to preserve structural detail and reconstruct heterogeneous features, such as cloud textures and land-cover transitions, with high fidelity.NASAView the full article
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