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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
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Parker Solar Probe
On a mission to “touch the Sun,” NASA’s Parker Solar Probe became the first spacecraft to fly through the corona…
Solar Storms and Flares
Solar storms and flares are eruptions from the Sun that can affect us here on Earth.
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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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By NASA
5 min read
30 Years On, NASA’s Wind Is a Windfall for Studying our Neighborhood in Space
An artist’s concept of NASA’s Wind spacecraft outside of Earth’s magnetosphere. NASA Picture it: 1994. The first World Wide Web conference took place in Geneva, the first Chunnel train traveled under the English Channel, and just three years after the end of the Cold War, the first Russian instrument on a U.S. spacecraft launched into deep space from Cape Canaveral. The mission to study the solar wind, aptly named Wind, held promise for heliophysicists and astrophysicists around the world to investigate basic plasma processes in the solar wind barreling toward Earth —key information for helping us understand and potentially mitigate the space weather environment surrounding our home planet.
Thirty years later, Wind continues to deliver on that promise from about a million miles away at the first Earth-Sun Lagrange Point (L1). This location is gravitationally balanced between Earth and the Sun, providing excellent fuel economy that requires mere puffs of thrust to stay in place.
According to Lynn Wilson, who is the Wind project scientist at NASA’s Goddard Space Flight Center in Greenbelt, Maryland, fuel is only one indicator of Wind’s life expectancy, however. “Based on fuel alone, Wind can continue flying until 2074,” he said. “On the other hand, its ability to return data hinges on the last surviving digital tape recorder onboard.”
An artist’s concept shows a closeup of the Wind spacecraft. NASA Wind launched with two digital tape recorders to record data from all the instruments on the spacecraft and provide reports on the spacecraft’s thermal conditions, orientation, and overall health. Each recorder has two tape decks, A and B, which Wilson affectionately refers to as “fancy eight-tracks.”
After six years of service, the first digital tape recorder failed in 2000 along with its two tape decks, forcing mission operators to switch to the second one. Tape Deck A on that one started showing signs of wear in 2016, so the mission operators now use Tape Deck B as the primary deck, with A as a backup.
“They built redundancy into the digital tape recorder system by building two of them, but you can never predict how technology will perform when it’s a million miles away, bathing in ionizing radiation,” said Wilson. “We’re fortunate that after 30 years, we still have two functioning tape decks.”
Wind launched on Nov. 1, 1994, on a Delta IV rocket from Cape Canaveral Air Force Station in Florida. NASA Bonus Science
When Wind launched on Nov. 1, 1994, nobody could have possibly predicted that exactly 30 years later, NASA would be kicking off “Bonus Science” month in the Heliophysics Big Year. Beyond the mission’s incredible track record of mesmerizing discoveries about the solar wind — some detailed on its 25th anniversary — Wind continues to deliver with bonus science abound.
Opportunity and Collaborative Discovery
Along its circuitous journey to L1, Wind dipped in and out of Earth’s magnetosphere more than 65 times, capturing the largest whistler wave — a low-frequency radio wave racing across Earth’s magnetic field — ever recorded in Earth’s Van Allen radiation belts. Wind also traveled ahead of and behind Earth — about 150 times our planet’s diameter in both directions, informing potential future missions that would operate in those areas with extreme exposure to the solar wind. It even took a side quest to the Moon, cruising through the lunar wake, a shadow devoid of solar wind on the far side of the Moon.
Later, from its permanent home at L1, Wind was among several corroborating spacecraft that helped confirm what scientists believe is the brightest gamma-ray burst to occur since the dawn of human civilization. The burst, GRB 221009A, was first detected by NASA’s Fermi Gamma-ray Space Telescope in October 2022. Although not in its primary science objectives, Wind carries two bonus instruments designed to observe gamma-ray bursts that helped scientists confirm the burst’s origin in the Sagitta constellation.
Academic Inspiration
More than 7,200 research papers have been published using Wind data, and the mission has supported more than 100 graduate and post-graduate degrees.
Wilson was one of those degree candidates. When Wind launched, Wilson was in sixth grade, on the football, baseball, and wrestling teams, with spare time spent playing video games and reading science fiction. He had a knack for science and considered becoming a medical doctor or an engineer before committing to his love of physics, which ultimately led to his current position as Wind’s project scientist. While pursuing his doctorate, he worked with Adam Szabo who was the Wind project scientist at NASA Goddard at the time and used Wind data to study interplanetary collisionless shock waves. Szabo eventually hired Wilson to work on the Wind mission team at Goddard.
Also in sixth grade at the time, Joe Westlake, NASA Heliophysics division director,was into soccer and music, and was a voracious reader consumed with Tolkein’s stories about Middle Earth. Now he leads the NASA office that manages Wind.
“It’s amazing to think that Lynn Wilson and I were in middle school, and the original mission designers and scientists have long since retired,” said Westlake. “When a mission makes it to 30 years, you can’t help but be inspired by the role it has played not only in scientific discovery, but in the careers of multiple generations of scientists.”
By Erin Mahoney
NASA Headquarters, Washington
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Last Updated Nov 01, 2024 Related Terms
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By NASA
The Rocky Mountains in Colorado, as seen from the International Space Station. Snowmelt from the mountainous western United States is an essential natural resource, making up as much as 75% of some states’ annual freshwater supply. Summer heat has significant effects in the mountainous regions of the western United States. Melted snow washes from snowy peaks into the rivers, reservoirs, and streams that supply millions of Americans with freshwater—as much as 75% of the annual freshwater supply for some states.
But as climate change brings winter temperatures to new highs, these summer rushes of freshwater can sometimes slow to a trickle.
“The runoff supports cities most people wouldn’t expect,” explained Chris Derksen, a glaciologist and Research Scientist with Environment and Climate Change Canada. “Big cities like San Francisco and Los Angeles get water from snowmelt.”
To forecast snowmelt with greater accuracy, NASA’s Earth Science Technology Office (ESTO) and a team of researchers from the University of Massachusetts, Amherst, are developing SNOWWI, a dual-frequency synthetic aperture radar that could one day be the cornerstone of future missions dedicated to measuring snow mass on a global scale – something the science community lacks.
SNOWWI aims to fill this technology gap. In January and March 2024, the SNOWWI research team passed a key milestone, flying their prototype for the first time aboard a small, twin-engine aircraft in Grand Mesa, Colorado, and gathering useful data on the area’s winter snowfields.
“I’d say the big development is that we’ve gone from pieces of hardware in a lab to something that makes meaningful data,” explained Paul Siqueira, professor of engineering at the University of Massachusetts, Amherst, and principal investigator for SNOWWI.
SNOWWI stands for Snow Water-equivalent Wide Swath Interferometer and Scatterometer. The instrument probes snowpack with two Ku-band radar signals: a high-frequency signal that interacts with individual snow grains, and a low-frequency signal that passes through the snowpack to the ground.
The high-frequency signal gives researchers a clear look at the consistency of the snowpack, while the low-frequency signal helps researchers determine its total depth.
“Having two frequencies allows us to better separate the influence of the snow microstructure from the influence of the snow depth,” said Derksen, who participated in the Grand Mesa field campaign. “One frequency is good, two frequencies are better.”
The SNOWWI team in Grand Mesa, preparing to flight test their instrument. From an altitude of 4 kilometers (2.5 miles), SNOWWI can map 100 square kilometers (about 38 square miles) in just 30 minutes.
As both of those scattered signals interact with the snowpack and bounce back towards the instrument, they lose energy. SNOWWI measures that lost energy, and researchers later correlate those losses to features within the snowpack, especially its depth, density, and mass.
From an airborne platform with an altitude of 2.5 miles (4 kilometers), SNOWWI could map 40 square miles (100 square kilometers) of snowy terrain in just 30 minutes. From space, SNOWWI’s coverage would be even greater. Siqueira is working with Capella Space to develop a space-ready SNOWWI for satellite missions.
But there’s still much work to be done before SNOWWI visits space. Siqueira plans to lead another field campaign, this time in the mountains of Idaho. Grand Mesa is relatively flat, and Siqueira wants to see how well SNOWWI can measure snowpack tucked in the folds of complex, asymmetrical terrain.
For Derksen, who spends much of his time quantifying the freshwater content of snowpack in Canada, having a reliable database of global snowpack measurements would be game-changing.
“Snowmelt is money. It has intrinsic economic value,” he said. “If you want your salmon to run in mountain streams in the spring, you must have snowmelt. But unlike other natural resources, at this time, we really can’t monitor it very well.”
For information about opportunities to collaborate with NASA on novel, Earth-observing instruments, see ESTO’s catalog of open solicitations with its Instrument Incubator Program here.
Project Leads: Dr. Paul Siqueira, University of Massachusetts (Principal Investigator); Hans-Peter Marshall, University of Idaho (Co-Investigator)
Sponsoring Organizations: NASA’s Earth Science Technology Office (ESTO), Instrument Incubator Program (IIP)
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Last Updated Oct 29, 2024 Related Terms
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By NASA
4 min read
Preparations for Next Moonwalk Simulations Underway (and Underwater)
On Sept. 19, the imaging spectrometer on the Carbon Mapper Coalition’s Tanager-1 satellite detected this methane plume in Karachi, Pakistan, extending nearly 2½ miles (4 kilometers) from a landfill. The spectrometer was designed at NASA JPL.Carbon Mapper/Planet Labs PBC Extending about 2 miles (3 kilometers) from a coal-fired power plant, this carbon dioxide plume in Kendal, South Africa, was captured Sept. 19 by the imaging spectrometer on the Carbon Mapper Coalition’s Tanager-1 satellite.Carbon Mapper/Planet Labs PBC This methane plume was captured south of Midland, Texas, in the Permian Basin, one of the world’s largest oil fields. The imaging spectrometer on the Carbon Mapper Coalition’s Tanager-1 satellite made the detection on Sept. 24.Carbon Mapper/Planet Labs PBC The imaging spectrometer aboard the Carbon Mapper Coalition’s Tanager-1 satellite identified methane and carbon dioxide plumes in the United States and internationally.
Using data from an instrument designed by NASA’s Jet Propulsion Laboratory in Southern California, the nonprofit Carbon Mapper has released the first methane and carbon dioxide detections from the Tanager-1 satellite. The detections highlight methane plumes in Pakistan and Texas, as well as a carbon dioxide plume in South Africa.
The data contributes to Carbon Mapper’s goal to identify and measure greenhouse gas point-source emissions on a global scale and make that information accessible and actionable.
Enabled by Carbon Mapper and built by Planet Labs PBC, Tanager-1 launched from Vandenberg Space Force Base in California on Aug. 16 and has been collecting data to verify that its imaging spectrometer, which is based on technology developed at NASA JPL, is functioning properly. Both Planet Labs PBC and JPL are members of the philanthropically funded Carbon Mapper Coalition.
“The first greenhouse gas images from Tanager-1 are exciting and are a compelling sign of things to come,” said James Graf, director for Earth Science and Technology at JPL. “The satellite plays a crucial role in detecting and measuring methane and carbon dioxide emissions. The mission is a giant step forward in addressing greenhouse gas emissions.”
The data used to produce the Pakistan image was collected over the city of Karachi on Sept. 19 and shows a roughly 2.5-mile-long (4-kilometer-long) methane plume emanating from a landfill. Carbon Mapper’s preliminary estimate of the source emissions rate is more than 2,600 pounds (1,200 kilograms) of methane released per hour.
The image collected that same day over Kendal, South Africa, displays a nearly 2-mile-long (3-kilometer-long) carbon dioxide plume coming from a coal-fired power plant. Carbon Mapper’s preliminary estimate of the source emissions rate is roughly 1.3 million pounds (600,000 kilograms) of carbon dioxide per hour.
The Texas image, collected on Sept. 24, reveals a methane plume to the south of the city of Midland, in the Permian Basin, one of the largest oilfields in the world. Carbon Mapper’s preliminary estimate of the source emissions rate is nearly 900 pounds (400 kilograms) of methane per hour.
In the 1980s, JPL helped pioneer the development of imaging spectrometers with AVIRIS (Airborne Visible/Infrared Imaging Spectrometer), and in 2022, NASA installed the imaging spectrometer EMIT (Earth Surface Mineral Dust Source Investigation), developed at JPL, aboard the International Space Station.
A descendant of those instruments, the imaging spectrometer aboard Tanager-1 can measure hundreds of wavelengths of light reflected from Earth’s surface. Each chemical compound on the ground and in the atmosphere reflects and absorbs different combinations of wavelengths, which give it a “spectral fingerprint” that researchers can identify. Using this approach, Tanager-1 will help researchers detect and measure emissions down to the facility level.
Once in full operation, the spacecraft will scan about 116,000 square miles (300,000 square kilometers) of Earth’s surface per day. Methane and carbon dioxide measurements collected by Tanager-1 will be publicly available on the Carbon Mapper data portal.
More About Carbon Mapper
Carbon Mapper is a nonprofit organization focused on facilitating timely action to mitigate greenhouse gas emissions. Its mission is to fill gaps in the emerging global ecosystem of methane and carbon dioxide monitoring systems by delivering data at facility scale that is precise, timely, and accessible to empower science-based decision making and action. The organization is leading the development of the Carbon Mapper constellation of satellites supported by a public-private partnership composed of Planet Labs PBC, JPL, the California Air Resources Board, Arizona State University, and RMI, with funding from High Tide Foundation, Bloomberg Philanthropies, Grantham Foundation for the Protection of the Environment, and other philanthropic donors.
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Andrew Wang / Jane J. Lee
Jet Propulsion Laboratory, Pasadena, Calif.
626-379-6874 / 818-354-0307
andrew.wang@jpl.nasa.gov / jane.j.lee@jpl.nasa.gov
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Last Updated Oct 10, 2024 Related Terms
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