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By NASA
3 min read
Preparations for Next Moonwalk Simulations Underway (and Underwater)
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A 3D simulation showing the evolution of turbulent flows in the upper layers of the Sun. The more saturated and bright reds represent the most vigorous upward or downward twisting motions. Clear areas represent areas where there is only relatively slow up-flows, with very little twisting.NASA/Irina Kitiashvili and Timothy A. Sandstrom NASA supercomputers are shedding light on what causes some of the Sun’s most complex behaviors. Using data from the suite of active Sun-watching spacecraft currently observing the star at the heart of our solar system, researchers can explore solar dynamics like never before.
The animation shows the strength of the turbulent motions of the Sun’s inner layers as materials twist into its atmosphere, resembling a roiling pot of boiling water or a flurry of schooling fish sending material bubbling up to the surface or diving it further down below.
“Our simulations use what we call a realistic approach, which means we include as much as we know to-date about solar plasma to reproduce different phenomena observed with NASA space missions,” said Irina Kitiashvili, a scientist at NASA’s Ames Research Center in California’s Silicon Valley who helped lead the study.
Using modern computational capabilities, the team was able, for the first time to reproduce the fine structures of the subsurface layer observed with NASA’s Solar Dynamics Observatory.
“Right now, we don’t have the computational capabilities to create realistic global models of the entire Sun due to the complexity,” said Kitiashvili. “Therefore, we create models of smaller areas or layers, which can show us structures of the solar surface and atmosphere – like shock waves or tornado-like features measuring only a few miles in size; that’s much finer detail than any one spacecraft can resolve.”
Scientists seek to better understand the Sun and what phenomena drive the patterns of its activity. The connection and interactions between the Sun and Earth drive the seasons, ocean currents, weather, climate, radiation belts, auroras and many other phenomena. Space weather predictions are critical for exploration of space, supporting the spacecraft and astronauts of NASA’s Artemis campaign. Surveying this space environment is a vital part of understanding and mitigating astronaut exposure to space radiation and keeping our spacecraft and instruments safe.
This has been a big year for our special star, studded with events like the annular eclipse, a total eclipse, and the Sun reaching its solar maximum period. In December 2024, NASA’s Parker Solar Probe mission – which is helping researchers to understand space weather right at the source – will make its closest-ever approach to the Sun and beat its own record of being the closest human-made object to reach the Sun.
The Sun keeps surprising us. We are looking forward to seeing what kind of exciting events will be organized by the Sun."
Irina Kitiashvili
NASA Scientist
“The Sun keeps surprising us,” said Kitiashvili. “We are looking forward to seeing what kind of exciting events will be organized by the Sun.”
These simulations were run on the Pleaides supercomputer at the NASA Advanced Supercomputing facility at NASA Ames over several weeks of runtime, generating terabytes of data.
NASA is showcasing 29 of the agency’s computational achievements at SC24, the international supercomputing conference, Nov. 17-22, 2023, in Atlanta, Georgia. For more technical information, visit:
https://www.nas.nasa.gov/sc24
For news media: Members of the news media interested in covering this topic should reach out to the NASA Ames newsroom.
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Last Updated Nov 21, 2024 Related Terms
General Ames Research Center Heliophysics Solar Dynamics Observatory (SDO) Sunspots The Sun Explore More
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By NASA
2 min read
Preparations for Next Moonwalk Simulations Underway (and Underwater)
ESI24 Haghighi Quadchart
Azadeh Haghighi
University of Illinois, Chicago
In-space manufacturing and assembly are vital to NASA’s long-term exploration goals, especially for the Moon and Mars missions. Deploying welding technology in space enables the assembly and repair of structures, reducing logistical burdens and supply needs from Earth. The unique challenges and extreme conditions of space–high thermal variations, microgravity, and vacuum–require advanced welding techniques and computational tools to ensure reliability, repeatability, safety, and structural integrity in one-shot weld scenarios. For the first time, this project investigates these challenges by focusing on three key factors: (1) Very low temperatures in space degrade the weldability of high thermal conductivity materials, like aluminum alloys, making it harder to achieve strong, defect-free welds. (2) The extreme vacuum in space lowers the boiling points of alloying elements, altering the keyhole geometry during welding. This selective vaporization changes the weld’s final chemical composition, affecting its microstructure and properties. (3) Microgravity nearly eliminates buoyancy-driven flow of liquid metal inside the molten pool, preventing gas bubbles from escaping, which leads to porosity and defects in the welds. By examining these critical factors using multi-scale multi-physics models integrated with physics-informed machine learning, and forward/inverse uncertainty quantification techniques, this project provides the first-ever real-time digital twin platform to evaluate welding processes under extreme space/lunar conditions. The models are validated through Earth-based experiments, parabolic flight tests, and publicly available data from different databases and agencies worldwide. Moreover, the established models will facilitate extendibility to support in-situ resource utilization on the Moon, including construction and repair using locally sourced materials like regolith. The established fundamental scientific knowledge will minimize trial-and-error, enable high-quality one-shot welds in space, and reduce the need for reworks, significantly reducing the costs and time needed for space missions.
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By NASA
When Ariel Vargas joined NASA in 2023, he knew he wanted to make an impact. Despite his relatively short tenure, he has earned the reputation of a Digital Transformer in his work as a Network and ICAM (Identity, Credential, and Access Management) Service Integrator at Johnson Space Center (JSC). No matter the task at hand, Ariel is motivated by measurable transformation. “I wanted to have my fingerprint on something no matter what it was, big or small. To be able to see an impact,” he says. “And a lot of the things that I’m doing, both within my role and within Digital Transformation, I can see really flourishing already.”
In his current role, Ariel oversees the integration and management of various network services to ensure compliance and smooth operation. This includes the modernization of NASA’s Voice over Internet Protocol (VoIP) to consolidate the agency’s telephone systems and enhance wireless communications. He is involved in rolling out wall-to-wall wireless and coverage improvements on campus at JSC. Ariel also spearheads efforts in streamlining communications across NASA by integrating new capabilities into familiar platforms like Microsoft Teams. With these projects in progress, he aims to foster a more flexible, collaborative work environment aligned with Digital Transformation’s goal of inclusive teaming.
Ariel appreciates the cultural side of Digital Transformation, particularly the challenges involved in pursuing constant innovation. He recognizes that growth “often requires a period of adjustment, especially for those encountering new tools or methods for the first time.” Ariel strives to ensure cohesive collaboration across teams and centers in establishing interoperable architectures, processes, and tools. His team measures the impact of their transformation efforts by several metrics, including increased network performance and adoption rates of new tools and technologies. For instance, the VoIP modernization initiative aims to remove 50% of telephones at NASA centers. Of the over 1300 users affected by the NASA-wide service shut-off of non-compliant phones at JSC, only 6% reported issues post-implementation. This reflected a positive and proactive collaboration with users on finding alternative solutions and embracing future innovations.
I really believe in embracing changes and innovation and driving impactful results, being able to see it.
Ariel Vargas
Network and ICAM (Identity, Credential, and Access Management) Service Integrator at Johnson Space Center (JSC)
Lynn Vernon, JSC’s Digital Transformation lead and Chief Engineer for IT, notes Ariel’s ability to engage with partners, understand their mission needs, and identify innovative solutions to barriers. “Ariel looks at things from a new perspective and is willing to ask ‘why’ or ‘why not.’ Why do we do it this way? Why not try this? He is consistently willing to explore new technologies and capabilities to transform the way we work,” says Lynn. Ariel’s passion for continuous improvement and learning positions him as a natural leader within the Digital Transformation community.
Ariel took a unique path to NASA and sees his prior experiences as building blocks toward becoming the Digital Transformer he is today. Although his upbringing in Florida near Cape Canaveral sparked an early interest in space, Ariel initially pursued pre-medicine after high school before transitioning into the Army. After his service, he joined NASA as an intern through the Department of Defense’s SkillBridge program, which offers career assistance to transitioning military personnel. His ability to learn NASA’s culture and demonstrate mission value quickly led to a full-time, civil servant position.
Between his initial interest in medicine, his service in the Army, and his current focus on digital transformation and technology, Ariel sees a common theme of problem-solving. “You have to figure out what the problem is, and you have to be up to date with the newest, the latest and greatest, to help solve these problems.” Ariel followed this thread to complete a master’s degree in computer science and is currently pursuing a doctorate in instructional design and performance technology. Even outside his work at NASA, Ariel pursues pathways that further his capacity as a champion of Digital Transformation initiatives.
Looking to the future, Ariel is excited by the possibility of supporting NASA’s space missions through AI and data integration. He is motivated by the prospect of seeing his current work make a difference in the near-term future. “I really believe in embracing changes and innovation and driving impactful results, being able to see it,” he says. Given his accomplishments of the past year, Ariel is well on his way to realizing the future he envisions.
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By NASA
NASA/Ben Smegelsky & Virgil Cameron In this image from Aug. 26, 2023, participants from the 14th First Nations Launch High-Power Rocket Competition watch NASA’s SpaceX Crew-7 launch at the agency’s Kennedy Space Center in Florida. Students and advisors from University of Washington, University of Colorado-Boulder, and an international team from Queens University – the 2023 First Nations Launch grand prize teams – traveled to Kennedy for a VIP tour, culminating in viewing the Crew-7 launch.
Grand prize teams also went on a guided tour of historic Hangar AE, led by James Wood (Osage Nation and Loyal Shawnee), chief engineer of NASA’s Launch Services Program, technical advisor for the Crew-7 launch, and First Nations mentor and judge.
One of NASA’s Artemis Student Challenges, the First Nations Launch competition comprises students from tribal colleges and universities, Native American-Serving Nontribal Institutions, and collegiate chapters of the American Indian Science and Engineering Society who design, build, and launch a high-powered rocket from a launch site in Kansasville, Wisconsin.
Explore more Minority University Research and Education Project opportunities and resources here.
Image credit: NASA/Ben Smegelsky & Virgil Cameron
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By NASA
At NASA, high-end computing is essential for many agency missions. This technology helps us advance our understanding of the universe – from our planet to the farthest reaches of the cosmos. Supercomputers enable projects across diverse research, such as making discoveries about the Sun’s activity that affects technologies in space and life on Earth, building artificial intelligence-based models for innovative weather and climate science, and helping redesign the launch pad that will send astronauts to space with Artemis II.
These projects are just a sample of the many on display in NASA’s exhibit during the International Conference for High Performance Computing, Networking, Storage and Analysis, or SC24. NASA’s Dr. Nicola “Nicky” Fox, associate administrator for the agency’s Science Mission Directorate, will deliver the keynote address, “NASA’s Vision for High Impact Science and Exploration,” on Tuesday, Nov. 19, where she’ll share more about the ways NASA uses supercomputing to explore the universe for the benefit of all. Here’s a little more about the work NASA will share at the conference:
1. Simulations Help in Redesign of the Artemis Launch Environment
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This simulation of the Artemis I launch shows how the Space Launch System rocket's exhaust plumes interact with the air, water, and the launchpad. Colors on surfaces indicate pressure levels—red for high pressure and blue for low pressure. The teal contours illustrate where water is present. NASA/Chris DeGrendele, Timothy Sandstrom Researchers at NASA Ames are helping ensure astronauts launch safely on the Artemis II test flight, the first crewed mission of the Space Launch System (SLS) rocket and Orion spacecraft, scheduled for 2025. Using the Launch Ascent and Vehicle Aerodynamics software, they simulated the complex interactions between the rocket plume and the water-based sound suppression system used during the Artemis I launch, which resulted in damage to the mobile launcher platform that supported the rocket before liftoff.
Comparing simulations with and without the water systems activated revealed that the sound suppression system effectively reduces pressure waves, but exhaust gases can redirect water and cause significant pressure increases.
The simulations, run on the Aitken supercomputer at the NASA Advanced Supercomputing facility at Ames, generated about 400 terabytes of data. This data was provided to aerospace engineers at NASA’s Kennedy Space Center in Florida, who are redesigning the flame deflector and mobile launcher for the Artemis II launch.
2. Airplane Design Optimization for Fuel Efficiency
In this comparison of aircraft designs, the left wing models the aircraft’s initial geometry, while the right wing models an optimized shape. The surface is colored by the air pressure on the aircraft, with orange surfaces representing shock waves in the airflow. The optimized design modeled on the right wing reduces drag by 4% compared to the original, leading to improved fuel efficiency. NASA/Brandon Lowe To help make commercial flight more efficient and sustainable, researchers and engineers at NASA’s Ames Research Center in California’s Silicon Valley are working to refine aircraft designs to reduce air resistance, or drag, by fine-tuning the shape of wings, fuselages, and other aircraft structural components. These changes would lower the energy required for flight and reduce the amount of fuel needed, produce fewer emissions, enhance overall performance of aircraft, and could help reduce noise levels around airports.
Using NASA’s Launch, Ascent, and Vehicle Aerodynamics computational modeling software, developed at Ames, researchers are leveraging the power of agency supercomputers to run hundreds of simulations to explore a variety of design possibilities – on existing aircraft and future vehicle concepts. Their work has shown the potential to reduce drag on an existing commercial aircraft design by 4%, translating to significant fuel savings in real-world applications.
3. Applying AI to Weather and Climate
This visualization compares the track of the Category 4 hurricane, Ida, from MERRA-2 reanalysis data (left) with a prediction made without specific training, from NASA and IBM’s Prithvi WxC foundation model (right). Both models were initialized at 00 UTC on 2021-08-27.The University of Alabama in Huntsville/Ankur Kumar; NASA/Sujit Roy Traditional weather and climate models produce global and regional results by solving mathematical equations for millions of small areas (grid boxes) across Earth’s atmosphere and oceans. NASA and partners are now exploring newer approaches using artificial intelligence (AI) techniques to train a foundation model.
Foundation models are developed using large, unlabeled datasets so researchers can fine-tune results for different applications, such as creating forecasts or predicting weather patterns or climate changes, independently with minimal additional training.
NASA developed the open source, publicly available Prithvi Weather-Climate foundation model (Prithvi WxC), in collaboration with IBM Research. Prithvi WxC was pretrained using 160 variables from NASA’s Modern-era Retrospective analysis for Research and Applications (MERRA-2) dataset on the newest NVIDIA A100 GPUs at the NASA Advanced Supercomputing facility.
Armed with 2.3 billion parameters, Prithvi WxC can model a variety of weather and climate phenomena – such as hurricane tracks – at fine resolutions. Applications include targeted weather prediction and climate projection, as well as representing physical processes like gravity waves.
4. Simulations and AI Reveal the Fascinating World of Neutron Stars
3D simulation of pulsar magnetospheres, run on NASA’s Aitken supercomputer using data from the agency‘s Fermi space telescope. The red arrow shows the direction of the star’s magnetic field. Blue lines trace high-energy particles, producing gamma rays, in yellow. Green lines represent light particles hitting the observer’s plane, illustrating how Fermi detects pulsar gamma rays. NASA/Constantinos Kalapotharakos To explore the extreme conditions inside neutron stars, researchers at NASA’s Goddard Space Flight Center in Greenbelt, Maryland, are using a blend of simulation, observation, and AI to unravel the mysteries of these extraordinary cosmic objects. Neutron stars are the dead cores of stars that have exploded and represent some of the densest objects in the universe.
Cutting-edge simulations, run on supercomputers at the NASA Advanced Supercomputing facility, help explain phenomena observed by NASA’s Fermi Gamma-ray Space Telescope and Neutron star Interior Composition Explorer (NICER) observatory. These phenomena include the rapidly spinning, highly magnetized neutron stars known as pulsars, whose detailed physical mechanisms have remained mysterious since their discovery. By applying AI tools such as deep neural networks, the scientists can infer the stars’ mass, radius, magnetic field structure, and other properties from data obtained by the NICER and Fermi observatories.
The simulations’ unprecedented results will guide similar studies of black holes and other space environments, as well as play a pivotal role in shaping future scientific space missions and mission concepts.
5. Modeling the Sun in Action – From Tiny to Large Scales
Image from a 3D simulation showing the evolution of flows in the upper layers of the Sun, with the most vigorous motions shown in red. These turbulent flows can generate magnetic fields and excite sound waves, shock waves, and eruptions. NASA/Irina Kitiashvili and Timothy A. Sandstrom The Sun’s activity, producing events such as solar flares and coronal mass ejections, influences the space environment and cause space weather disturbances that can interfere with satellite electronics, radio communications, GPS signals, and power grids on Earth. Scientists at NASA Ames produced highly realistic 3D models that – for the first time – allow them to examine the physics of solar plasma in action, from very small to very large scales. These models help interpret observations from NASA spacecraft like the Solar Dynamics Observatory (SDO).
Using NASA’s StellarBox code on supercomputers at NASA’s Advanced Supercomputing facility, the scientists improved our understanding of the origins of solar jets and tornadoes – bursts of extremely hot, charged plasma in the solar atmosphere. These models allow the science community to address long-standing questions of solar magnetic activity and how it affects space weather.
6. Scientific Visualization Makes NASA Data Understandable
This global map is a frame from an animation showing how wind patterns and atmospheric circulation moved carbon dioxide through Earth’s atmosphere from January to March 2020. The DYAMOND model’s high resolution shows unique sources of carbon dioxide emissions and how they spread across continents and oceans.NASA/Scientific Visualization Studio NASA simulations and observations can yield petabytes of data that are difficult to comprehend in their original form. The Scientific Visualization Studio (SVS), based at NASA Goddard, turns data into insight by collaborating closely with scientists to create cinematic, high-fidelity visualizations.
Key infrastructure for these SVS creations includes the NASA Center for Climate Simulation’s Discover supercomputer at Goddard, which hosts a variety of simulations and provides data analysis and image-rendering capabilities. Recent data-driven visualizations show a coronal mass ejection from the Sun hitting Earth’s magnetosphere using the Multiscale Atmosphere-Geospace Environment (MAGE) model; global carbon dioxide emissions circling the planet in the DYnamics of the Atmospheric general circulation Modeled On Non-hydrostatic Domains (DYAMOND) model; and representations of La Niña and El Niño weather patterns using the El Niño-Southern Oscillation (ENSO) model.
For more information about NASA’s virtual exhibit at the International Conference for High Performance Computing, Networking, Storage and Analysis, being held in Atlanta, Nov. 17-22, 2024, visit:
https://www.nas.nasa.gov/SC24
For more information about supercomputers run by NASA High-End Computing, visit:
https://hec.nasa.gov
For news media:
Members of the news media interested in covering this topic should reach out to the NASA Ames newsroom.
Authors: Jill Dunbar, Michelle Moyer, and Katie Pitta, NASA’s Ames Research Center; and Jarrett Cohen, NASA’s Goddard Space Flight Center
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