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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
3 min read
Preparations for Next Moonwalk Simulations Underway (and Underwater)
NASA employees Broderic J. Gonzalez, left, and David W. Shank install pieces of a 7-foot wing model in preparation for testing in the 14-by-22-Foot Subsonic Wind Tunnel at NASA’s Langley Research Center in Hampton, Virginia, in May 2025. The lessons learned will be shared with the public to support advanced air mobility aircraft development. NASA/Mark Knopp The advanced air mobility industry is currently working to produce novel aircraft ranging from air taxis to autonomous cargo drones, and all of those designs will require extensive testing – which is why NASA is working to give them a head-start by studying a special kind of model wing. The wing is a scale model of a design used in a type of aircraft called a “tiltwing,” which can swing its wing and rotors from vertical to horizontal. This allows the aircraft to take off, hover, and land like a helicopter, or fly like a fixed-wing airplane. This design enables versatility in a range of operating environments.
Several companies are working on tiltwings, but NASA’s research into the scale wing will also impact nearly all types of advanced air mobility aircraft designs.
“NASA research supporting advanced air mobility demonstrates the agency’s commitment to supporting this rapidly growing industry,” said Brandon Litherland, principal investigator for the test at NASA’s Langley Research Center in Hampton, Virginia. “Tool improvements in these areas will greatly improve our ability to accurately predict the performance of new advanced air mobility aircraft, which supports the adoption of promising designs. Gaining confidence through testing ensures we can identify safe operating conditions for these new aircraft.”
NASA researcher Norman W. Schaeffler adjusts a propellor, which is part of a 7-foot wing model that was recently tested at NASA’s Langley Research Center in Hampton, Virginia. In May and June, NASA researchers tested the wing in the 14-by-22-Foot Subsonic Wind Tunnel to collect data on critical propeller-wing interactions. The lessons learned will be shared with the public to support advanced air mobility aircraft development.NASA/Mark Knopp In May and June, NASA tested a 7-foot wing model with multiple propellers in the 14-by-22-Foot Subsonic Wind Tunnel at Langley. The model is a “semispan,” or the right half of a complete wing. Understanding how multiple propellers and the wing interact under various speeds and conditions provides valuable insight for the advanced air mobility industry. This information supports improved aircraft designs and enhances the analysis tools used to assess the safety of future designs.
This work is managed by the Revolutionary Vertical Lift Technology project under NASA’s Advanced Air Vehicles Program in support of NASA’s Advanced Air Mobility mission, which seeks to deliver data to guide the industry’s development of electric air taxis and drones.
“This tiltwing test provides a unique database to validate the next generation of design tools for use by the broader advanced air mobility community,” said Norm Schaeffler, the test director, based at Langley. “Having design tools validated for a broad range of aircraft will accelerate future design cycles and enable informed decisions about aerodynamic and acoustic performance.”
In May and June, NASA researchers tested a 7-foot wing model in the 14-by-22-Foot Subsonic Wind Tunnel at NASA’s Langley Research Center in Hampton, Virginia. The team collected data on critical propeller-wing interactions over the course of several weeks.NASA/Mark Knopp The wing is outfitted with over 700 sensors designed to measure pressure distribution, along with several other types of tools to help researchers collect data from the wing and propeller interactions. The wing is mounted on special sensors to measure the forces applied to the model. Sensors in each motor-propeller hub to measure the forces acting on the components independently.
The model was mounted on a turntable inside the wind tunnel, so the team could collect data at different wing tilt angles, flap positions, and rotation rates. The team also varied the tunnel wind speed and adjusted the relative positions of the propellers.
Researchers collected data relevant to cruise, hover, and transition conditions for advanced air mobility aircraft. Once they analyze this data, the information will be released to industry on NASA’s website.
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Last Updated Aug 07, 2025 EditorDede DiniusContactTeresa Whitingteresa.whiting@nasa.gov Related Terms
Armstrong Flight Research Center Advanced Air Mobility Advanced Air Vehicles Program Aeronautics Drones & You Langley Research Center Revolutionary Vertical Lift Technology Explore More
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By NASA
2 min read
Preparations for Next Moonwalk Simulations Underway (and Underwater)
NASA/Lori Losey
The best way to solve a mystery is by gathering evidence and building a case. That’s exactly what NASA researchers are doing with a series of research flights aimed at advancing a sensor for supersonic parachutes. The clues they find could help make these parachutes more reliable and safer for delivering scientific instruments and payloads to Mars.
These investigative research flights are led by the EPIC (Enhancing Parachutes by Instrumenting the Canopy) team at NASA’s Armstrong Fight Research Center in Edwards, California. During a June flight test, a quadrotor aircraft, or drone, air-launched a capsule that deployed a parachute equipped with a sensor. The flexible, strain-measuring sensor attached to the parachute did not interfere with the canopy material, just as the EPIC team had predicted. The sensors also provided data, a bonus for planning upcoming tests.
“Reviewing the research flights will help inform our next steps,” said Matt Kearns, project manager for EPIC at NASA Armstrong. “We are speaking with potential partners to come up with a framework to obtain the data that they are interested in pursuing. Our team members are developing methods for temperature testing the flexible sensors, data analysis, and looking into instrumentation for future tests.”
The flight tests were a first step toward filling gaps in computer models to improve supersonic parachutes. This work could also open the door to future partnerships, including with the aerospace and auto racing industries.
NASA’s Space Technology Mission Directorate (STMD) funds the EPIC work through its Entry Systems Modeling project at NASA’s Ames Research Center in California’s Silicon Valley. The capsule and parachute system were developed by NASA’s Langley Research Center in Hampton, Virginia. NASA Armstrong interns worked with Langley to build and integrate a similar system for testing at NASA Armstrong. An earlier phase of the work focused on finding commercially available flexible strain sensors and developing a bonding method as part of an STMD Early Career Initiative project.
NASA researchers Paul Bean, center, and Mark Hagiwara, right, attach the capsule with parachute system to the Enhancing Parachutes by Instrumenting the Canopy test experiment on June 4, 2025, at NASA’s Armstong Flight Research Center in Edwards, California. NASA researchers are developing technology to make supersonic parachutes safer and more reliable for delivering science instruments and payloads to Mars.NASA/Christopher LC Clark Derek Abramson, left, and Justin Link, right, attach an Alta X drone to the Enhancing Parachutes by Instrumenting the Canopy test experiment on June 4, 2025, at NASA’s Armstong Flight Research Center in Edwards, California. Abramson is NASA chief engineer at the center’s Dale Reed Subscale Flight Research Laboratory, where Link also works as a pilot for small uncrewed aircraft systems. NASA researchers are developing technology to make supersonic parachutes safer and more reliable for delivering science instruments and payloads to Mars.NASA/Christopher LC Clark An Alta X drone is positioned at altitude for an air launch of the Enhancing Parachutes by Instrumenting the Canopy test experiment on June 4, 2025, at NASA’s Armstong Flight Research Center in Edwards, California. NASA researchers are developing technology to make supersonic parachutes safer and more reliable for delivering science instruments and payloads to Mars.NASA/Christopher LC Clark The parachute of the Enhancing Parachutes by Instrumenting the Canopy test experiment deploys following an air launch from an Alta X drone on June 4, 2025, at NASA’s Armstong Flight Research Center in Edwards, California. NASA researchers are developing technology to make supersonic parachutes safer and more reliable for delivering science instruments and payloads to Mars.NASA/Christopher LC Clark The Enhancing Parachutes by Instrumenting the Canopy project team examines a capsule and parachute following an air launch from an Alta X drone on June 4, 2025, at NASA’s Armstong Flight Research Center in Edwards, California. NASA researchers are developing technology to make supersonic parachutes safer and more reliable for delivering science instruments and payloads to Mars.NASA/Christopher LC Clark Share
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Last Updated Jul 29, 2025 EditorDede DiniusContactJay Levinejay.levine-1@nasa.gov Related Terms
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By NASA
2 min read
Preparations for Next Moonwalk Simulations Underway (and Underwater)
NASA/Jacob Shaw
NASA’s X-59 quiet supersonic research aircraft has officially begun taxi tests, marking the first time this one-of-a-kind experimental aircraft has moved under its own power.
NASA test pilot Nils Larson and the X-59 team, made up of NASA and contractor Lockheed Martin personnel, completed the aircraft’s first low-speed taxi test at U.S. Air Force Plant 42 in Palmdale, California, on July 10, 2025.
The taxiing represents the X-59’s last series of ground tests before first flight. Over the coming weeks, the aircraft will gradually increase its speed, leading up to a high-speed taxi test that will take the aircraft just short of the point where it would take off.
During the low-speed tests, engineers and flight crews monitored how the X-59 handled as it moved across the runway, working to validate critical systems like steering and braking. These checks help ensure the aircraft’s stability and control across a range of conditions, giving pilots and engineers confidence that all systems are functioning as expected.
The X-59 is the centerpiece of NASA’s Quesst mission, which aims to demonstrate quiet supersonic flight by reducing the loud sonic boom to a quieter “thump.” Data gathered from the X-59 will be shared with U.S. and international regulators to inform the establishment of new, data-driven acceptable noise thresholds related to supersonic commercial flight over land.
NASA’s X-59 quiet supersonic research aircraft taxis across the runway during a low-speed taxi test at U.S. Air Force Plant 42 in Palmdale, California, on July 10, 2025. The test marks the start of taxi tests and the last series of ground tests before first flight.NASA/Carla Thomas NASA’s X-59 quiet supersonic research aircraft moves under its own power for the first time at Lockheed Martin’s Skunk Works facility in Palmdale, California, on July 10, 2025. Guided by the aircraft’s crew chief, the event marks the beginning of taxi tests – a key milestone and the final series of ground tests before first flight.NASA/Carla Thomas Share
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Last Updated Jul 17, 2025 Related Terms
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By NASA
5 Min Read NASA 3D Wind Measuring Laser Aims to Improve Forecasts from Air, Space
3D wind measurements from NASA's Aerosol Wind Profiler instrument flying on board a specially mounted aircraft along the East Coast of the U.S. and across the Great Lakes region on Oct. 15, 2024. Credits: NASA/Scientific Visualization Studio Since last fall, NASA scientists have flown an advanced 3D Doppler wind lidar instrument across the United States to collect nearly 100 hours of data — including a flight through a hurricane. The goal? To demonstrate the unique capability of the Aerosol Wind Profiler (AWP) instrument to gather extremely precise measurements of wind direction, wind speed, and aerosol concentration – all crucial elements for accurate weather forecasting.
Weather phenomena like severe thunderstorms and hurricanes develop rapidly, so improving predictions requires more accurate wind observations.
“There is a lack of global wind measurements above Earth’s surface,” explained Kris Bedka, the AWP principal investigator at NASA’s Langley Research Center in Hampton, Virginia. “Winds are measured by commercial aircraft as they fly to their destinations and by weather balloons launched up to twice per day from just 1,300 sites across the globe. From space, winds are estimated by tracking cloud and water vapor movement from satellite images.”
However, in areas without clouds or where water vapor patterns cannot be easily tracked, there are typically no reliable wind measurements. The AWP instrument seeks to fill these gaps with detailed 3D wind profiles.
The AWP instrument (foreground) and HALO instrument (background) was integrated onto the floorboard of NASA’s G-III aircraft. Kris Bedka, project principal investigator, sitting in the rear of the plane, monitored the data during a flight on Sept. 26, 2024. NASA/Maurice Cross Mounted to an aircraft with viewing ports underneath it, AWP emits 200 laser energy pulses per second that scatter and reflect off aerosol particles — such as pollution, dust, smoke, sea salt, and clouds — in the air. Aerosol and cloud particle movement causes the laser pulse wavelength to change, a concept known as the Doppler effect.
The AWP instrument sends these pulses in two directions, oriented 90 degrees apart from each other. Combined, they create a 3D profile of wind vectors, representing both wind speed and direction.
We are measuring winds at different altitudes in the atmosphere simultaneously with extremely high detail and accuracy.
Kris bedka
NASA Research Physical Scientist
“The Aerosol Wind Profiler is able to measure wind speed and direction, but not just at one given point,” Bedka said. “Instead, we are measuring winds at different altitudes in the atmosphere simultaneously with extremely high detail and accuracy.”
Vectors help researchers and meteorologists understand the weather, so AWP’s measurements could significantly advance weather modeling and forecasting. For this reason, the instrument was chosen to be part of the National Oceanic and Atmospheric Administration’s (NOAA) Joint Venture Program, which seeks data from new technologies that can fill gaps in current weather forecasting systems. NASA’s Weather Program also saw mutual benefit in NOAA’s investments and provided additional support to increase the return on investment for both agencies.
On board NASA’s Gulfstream III (G-III) aircraft, AWP was paired with the agency’s High-Altitude Lidar Observatory (HALO) that measures water vapor, aerosols, and cloud properties through a combined differential absorption and high spectral resolution lidar.
Working together for the first time, AWP measured winds, HALO collected water vapor and aerosol data, and NOAA dropsondes (small instruments dropped from a tube in the bottom of the aircraft) gathered temperature, water vapor, and wind data.
The AWP and HALO instrument teams observing incoming data on board NASA’s G-III aircraft over Tennessee while heading south to observe Hurricane Helene. Sept. 26, 2024. NASA/Maurice Cross “With our instrument package on board small, affordable-to-operate aircraft, we have a very powerful capability,” said Bedka. “The combination of AWP and HALO is NASA’s next-generation airborne weather remote sensing package, which we hope to also fly aboard satellites to benefit everyone across the globe.”
The combination of AWP and HALO is NASA's next-generation airborne weather remote sensing package.
kris bedka
NASA Research Physical Scientist
The animation below, based on AWP data, shows the complexity and structure of aerosol layers present in the atmosphere. Current prediction models do not accurately simulate how aerosols are organized throughout the breadth of the atmosphere, said Bedka.
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This visualization shows AWP 3D measurements gathered on Oct. 15, 2024, as NASA’s G-III aircraft flew along the East Coast of the U.S. and across the Great Lakes region. Laser light that returns to AWP as backscatter from aerosol particles and clouds allows for measurement of wind direction, speed, and aerosol concentration as seen in the separation of data layers. NASA/Scientific Visualization Studio “When we took off on this particular day, I thought that we would be finding a clear atmosphere with little to no aerosol return because we were flying into what was the first real blast of cool Canadian air of the fall,” described Bedka. “What we found was quite the opposite: an aerosol-rich environment which provided excellent signal to accurately measure winds.”
During the Joint Venture flights, Hurricane Helene was making landfall in Florida. The AWP crew of two pilots and five science team members quickly created a flight plan to gather wind measurements along the outer bands of the severe storm.
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This video shows monitors tracking the AWP science team’s location in the western outer bands of Hurricane Helene off the coast of Florida with views outside of the aircraft looking at turbulent storm clouds on Sept. 26, 2024. NASA/Kris Bedka “A 3D wind profile can significantly improve weather forecasts, particularly for storms and hurricanes,” said Harshesh Patel, NOAA’s acting Joint Venture Program manager. “NASA Langley specializes in the development of coherent Doppler wind lidar technology and this AWP concept has potential to provide better performance for NOAA’s needs.”
The flight plan of NASA’s G-III aircraft – outfitted with the Aerosol Wind Profiler – as it gathered data across the Southeastern U.S. and flew through portions of Hurricane Helene on Sept. 26, 2024. The flight plan is overlaid atop a NOAA Geostationary Operational Environmental Satellite-16 (GOES) satellite image from that day. NASA/John Cooney The flights of the AWP lidar are serving as a proving ground for possible integration into a future satellite mission.
“The need to improve global 3D wind models requires a space-based platform,” added Patel. “Instruments like AWP have specific space-based applications that potentially align with NOAA’s mission to provide critical data for improving weather forecasting.”
A view of the outer bands of Hurricane Helene off the coast of Florida during NASA’s science flights demonstrating the Aerosol Wind Profiler instrument on Sept. 26, 2024.NASA/Maurice Cross After the NOAA flights, AWP and HALO were sent to central California for the Westcoast & Heartland Hyperspectral Microwave Sensor Intensive Experiment and the Active Passive profiling Experiment, which was supported by NASA’s Planetary Boundary Layer Decadal Survey Incubation Program and NASA Weather Programs. These missions studied atmospheric processes within the planetary boundary layer, the lowest part of the atmosphere, that drives the weather conditions we experience on the ground.
To learn more about lidar instruments at NASA visit:
NASA Langley Research Center: Generations of Lidar Expertise
About the Author
Charles G. Hatfield
Science Public Affairs Officer, NASA Langley Research Center
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Last Updated Apr 28, 2025 LocationNASA Langley Research Center Related Terms
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