NASA Shares Views of August Solar Eclipse from Ground, Air, Space
This composite image shows the progression of a total solar eclipse as the Sun sets over San Millán de los Caballeros, Spain, on Wednesday, Aug. 12, 2026.
Credits: NASA/Bill Ingalls
On Aug. 12, a total solar eclipse darkened skies over Greenland, Iceland, and Spain. As the Moon covered the Sun, it briefly revealed the Sun’s wispy outer atmosphere — the corona — to those in the path of totality who were lucky enough to have clear skies. NASA researchers and photographers were along the eclipse path to study the corona, capture the phenomenon, and observe how the eclipse affected our planet.
One NASA photographer in Spain captured the total solar eclipse as well as the partial phases before and after, until the Sun set below the horizon.
This composite image shows the progression of a total solar eclipse over a field of sunflowers in San Millán de los Caballeros, Spain, on Aug. 12, 2026. Credit: NASA/Bill Ingalls
The solar corona appears in this photograph of a total solar eclipse captured from San Millán de los Caballeros, Spain, on Aug. 12, 2026. Credit: NASA/Bill Ingalls
A solar prominence, a plume of electrically charged gas suspended above the Sun by strong magnetic forces, appears as a pink feature along the left edge of the eclipsed Sun in this photograph taken from San Millán de los Caballeros, Spain, on Aug. 12, 2026. Credit: NASA/Bill Ingalls
This composite image shows the progression of a total solar eclipse as the Sun sets in San Millán de los Caballeros, Spain, on Aug. 12, 2026. Credit: NASA/Bill Ingalls
In northern Maine, where only a partial eclipse was visible, another NASA photographer captured the International Space Station, with its crew of seven aboard, speeding past the partially eclipsed Sun.
In this image of a partial solar eclipse, which is veiled by clouds, the International Space Station, with a crew of seven aboard, appears in silhouette as it transits at roughly five miles per second on Aug. 12, 2026, as seen near Hodgdon, Maine. Aboard the station as part of Expedition 75 are NASA astronauts Jessica Meir, Anil Menon, and Jack Hathaway; ESA (European Space Agency) astronaut Sophie Adenot; and Roscosmos cosmonauts Pyotr Dubrov, Andrey Fedyaev, and Anna Kikina. Credit: NASA/Joel Kowsky
Twelve frames assembled in sequence show the International Space Station, with a crew of seven aboard, in silhouette as it transits the Sun at roughly five miles per second during a partial solar eclipse on Aug. 12, 2026, as seen near Hodgdon, Maine. Clouds partially obscure the view of the Sun. Aboard the station as part of Expedition 75 are NASA astronauts Jessica Meir, Anil Menon, and Jack Hathaway; ESA (European Space Agency) astronaut Sophie Adenot; and Roscosmos cosmonauts Pyotr Dubrov, Andrey Fedyaev, and Anna Kikina. Credit: NASA/Joel Kowsky
Meanwhile, from about 250 miles above the ground, a NASA astronaut aboard the International Space Station snapped a few photos of the partial eclipse from their perspective as well.
NASA astronaut Jessica Meir captured this photo of the partial solar eclipse from the International Space Station on Aug. 12, 2026, as the orbital outpost soared 262 miles above southern Quebec, Canada. From the station, the Moon covered about 18% of the Sun at the peak of the eclipse. Credit: NASA/Jessica Meir
Between the ground and the space station, NASA pilots flew NASA’s WB-57F research jet at an altitude of 50,000 feet, passing through the eclipse’s shadow to lengthen their time in the eclipse. The jet carried a suite of cameras that captured high-resolution images of the corona and prominences, plumes of electrically charged gas rising off the Sun, in several different wavelengths of light.
The total solar eclipse on Aug. 12, 2026, was captured by a camera mounted inside the cockpit window of NASA’s WB-57F aircraft as it flew around 50,000 feet altitude off the coast of Iceland.
NASA
A suite of cameras installed on NASA’s WB-57F aircraft captured images of the solar corona and prominences in different wavelengths of visible and infrared light during the total solar eclipse on Aug. 12, 2026. A science team led by the Southwest Research Institute in Boulder, Colorado, will analyze the images to learn more about complex and dynamic features in the Sun’s outer atmosphere. Credit: NASA/SwRI/Will Ashfield
In both Iceland and Spain, teams of students participating in the NASA-funded Nationwide Eclipse Ballooning Project launched scientific balloons that carried instruments to capture images of the eclipse’s shadow and study the eclipse’s effects on our atmosphere. Even though clouds obscured the view of the eclipse from the ground in Iceland, the weather did not interfere with the balloon-borne instruments’ ability to gather information about how the brief loss of light and heat affected the lower atmosphere.
Students participating in the NASA-funded Nationwide Eclipse Ballooning Project prepare to launch a scientific balloon in Mosfellsbær, Iceland, during the total solar eclipse on Aug. 12, 2026. Credit: NASA/Abbey Interrante
The Moon’s shadow passes over the atmosphere during the total solar eclipse on Aug. 12, 2026. The video was taken by a camera carried by a scientific balloon launched from Spain by a student team from Montana State University participating in the NASA-funded Nationwide Eclipse Ballooning Project. The video captures about six minutes of time but is sped up to play at four times real speed. Passing through the foreground are some other science instruments carried by the same balloon.
Nationwide Eclipse Ballooning Project/Montana State University
Before the eclipse, scientists at Predictive Science Inc., with support from NASA grants and supercomputers, used observations of the Sun from NASA spacecraft and ground-based telescopes to predict what the corona would look like during the eclipse. Below, their corona prediction is compared to a composite image of the corona, which combines multiple images captured by the NASA-supported DEB Initiative project during the total eclipse near León, Spain.
prediction
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This image shows a prediction from the morning of Aug. 12, 2026, of what the solar corona would look like to the human eye during the total solar eclipse that day.
Predictive Science Inc.
This processed, composite image of the corona combines multiple images captured near León, Spain, during the total solar eclipse on Aug. 12, 2026.
DEB Initiative Team/Zack Stockbridge
This image shows a prediction from the morning of Aug. 12, 2026, of what the solar corona would look like to the human eye during the total solar eclipse that day.
Predictive Science Inc.
This processed, composite image of the corona combines multiple images captured near León, Spain, during the total solar eclipse on Aug. 12, 2026.
DEB Initiative Team/Zack Stockbridge
prediction
image
The left image shows a prediction from the morning of Aug. 12, 2026, of what the solar corona would look like to the human eye during the total solar eclipse that day. The right image is processed, composite image of the corona that combines multiple images captured near León, Spain, during the total solar eclipse on Aug. 12, 2026. Left image credit: Predictive Science Inc.; right image credit: DEB Initiative Team/Zack Stockbridge
Over the coming months, scientists will analyze the observations and images captured during the solar eclipse on Aug. 12 and present what they have learned about the Sun and its effects on our home planet. These observations will also help prepare science teams to investigate future solar eclipses, such as a much longer total solar eclipse that will be visible from southern Spain and northern Africa on Aug. 2, 2027.
NASA’s COFFIES Uses AI to Predict Storm-Causing Active Regions on Sun
As humanity looks to the Moon and stars for future exploration, predicting space weather — conditions in space primarily driven by the Sun — is more important than ever.
Now, a team of astrophysicists and data scientists with NASA’s COFFIES (Consequence Of Fields and Flows in the Interior and Exterior of the Sun) has developed a novel machine-learning model capable of predicting the emergence of active regions on the Sun up to 12 hours before they appear.
The Sun is constantly churning. Intense concentrations of localized magnetic fields can suddenly break through the solar surface, forming sunspots. Space weather forecasters then collectively number and track sunspots since they are visible manifestations of active regions, which serve as the main engines behind severe space weather events such as solar flares and coronal mass ejections. These eruptions send waves of high-energy radiation and charged particles across space, creating storms that can threaten astronauts, disable satellites, and disrupt radio communications on Earth.
NASA’s Solar Dynamics Observatory captured this image of a solar flare — seen as the bright flash in the upper right — on June 30, 2026. The image shows a subset of extreme ultraviolet light that highlights the extremely hot material in flares and which is colorized in teal.
NASA’s Goddard Space Flight Center/SDO
By bridging expertise across different scientific institutions, COFFIES, a NASA DRIVE (Diversify, Realize, Integrate, Venture, Educate) Science Center, brought together a team of researchers from New Jersey Institute of Technology (NJIT), Princeton University, and NASA’s Ames Research Center in California’s Silicon Valley. The team turned to advanced artificial intelligence architectures — which dictate how data is processed and used to produce reliable predictions or actions — to capture subtle, time-based pattern changes on the solar surface before an active region took shape. By analyzing data captured by the agency’s Solar Dynamics Observatory and using NASA Ames’ supercomputing resources, this new approach, published in the Journal of Geophysical Research: Machine Learning and Computation, looks at fluctuations in acoustic waves caused by sunspot regions when the regions form beneath the solar surface and begin the journey upward to emerge on the surface.
“We cannot directly see the magnetic structure while it is still rising through the solar interior. Instead, we must look for indirect effects — very small changes in the magnetic field and in the pattern of acoustic waves continually traveling through the Sun,” said Alexander Kosovichev, a COFFIES co-investigator at NJIT. “The developed technique identifies precursors associated with an emerging active region in slight changes of the Sun’s acoustic power — more like a slight change in rhythm within a very noisy orchestra.”
This video is an example of what scientists use when analyzing the solar surface. This particular time frame tracks the magnetic field on the Sun’s surface during the emergence of active region AR11158 in February 2011. The blue square grid highlights a target area on the Sun. The squares on the right side translates the data from the target grid area to show opposing magnetic polarities, indicated by the warm and cool-colored tones. The first column of blocks shows targeted areas at original resolution, the middle column displays data as 2D maps, and the right column plots changes in magnetic polarity over time as 1D curves. By watching these blocks, scientists can see signs of active region emergence, such as drops in acoustic waves and rises in magnetic fields.
NASA’s COFFIES DRIVE Science Center/Irina Kitiashvili and Spiridon Kasapis
To develop current operational forecasts, the National Oceanic and Atmospheric Administration’s Space Weather Prediction Center and the United States Air Force monitor active regions that are already visible on the Sun to analyze the regions’ characteristics and estimate the probability of solar flares.
The COFFIES team aims to revolutionize this process. The AI model the team developed a specialized early detection system to handle very long sequences of data — called sliding-window transformer architecture — to use observations to find tiny reductions in the Sun’s acoustic activity and magnetic field, signals that scientists struggled to capture until now. These reductions form patterns that the AI model uses to predict active regions several hours before they become visible on the solar surface. Instead of looking at all activity on the solar surface at once, like earlier deep learning approaches have done, this new model moves a fixed-size “viewing window” across a long timeline of the Sun’s activity to focus on recent data while remembering overall patterns. This method allows forecasters the ability to predict approximate locations of emerging sunspots, rather than relying on counting already visible sunspots.
This promising AI architecture shows how deep machine learning can contribute to heliophysics — the field studying the nature of the Sun and how it influences the very nature of space and the planets that exist there. While the model is not ready for operational real-time forecasting, the team plans to validate the approach across many more known solar events to fine-tune the model.
NASA’s real-time space weather monitoring
As NASA focuses on sending humans to explore the Moon with the Artemis missions and sending the first crewed missions to Mars, monitoring and forecasting space weather is important for ensuring the safety of our astronauts and the equipment they rely on. This predictive leap from the COFFIES team could prove vital for safeguarding technology and deep-space explorers from the volatile environment of our solar system.
NASA’s Moon to Mars Space Weather Analysis Office monitors space weather 7 days a week. This important work helps decision makers not only protect people and equipment but maintain the services our modern society relies on every day. NASA’s space weather monitoring is also critical for safeguarding astronauts as they journey to the Moon and onward to Mars.
NASA/Lacey Young
Teams across NASA and NOAA collaborate to transition research capabilities into actual 360-degree space weather monitoring operational tools — including NASA’s Space Radiation Analysis Group, Moon to Mars Space Weather Analysis Office (M2M SWAO), and Community Coordinated Modeling Center as well as NOAA’s Space Weather Prediction Center. Sunspot region emergence prediction capabilities, especially of the Sun’s far side, could provide new information that supplements current models used by these teams.
“The COFFIES AI model is exciting to our team because it could provide us with new capabilities towards predicting potential flaring locations ahead of time,” said Michelangelo Romano, M2M SWAO deputy director. “With this heads up, we can provide additional support to NASA missions.”
NASA’s COFFIES is one of three DRIVE Science Centers created to encourage collaborative science by establishing centers that are made of multidisciplinary teams from several institutions across the U.S. These pioneering facilities employ modelers, theoreticians, computer scientists, and observers to study important mysteries of our star and its influence, a branch of science known as heliophysics.
The COFFIES team focuses on the interconnected processes behind the Sun’s activity. Understanding the Sun’s interior and magnetic variability is key to advancing our understanding of the Sun’s 11-year activity cycle and fine-tuning space weather forecasting tools.
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