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By NASA
4 min read
Preparations for Next Moonwalk Simulations Underway (and Underwater)
Ocean currents swirl around North America (center left) and Greenland (upper right) in this data visualization created using NASA’s ECCO model. Advanced computing is helping oceanographers decipher hot spots of phytoplankton growth.NASA’s Scientific Visualization Studio As Greenland’s ice retreats, it’s fueling tiny ocean organisms. To test why, scientists turned to a computer model out of JPL and MIT that’s been called a laboratory in itself.
Runoff from Greenland’s ice sheet is kicking nutrients up from the ocean depths and boosting phytoplankton growth, a new NASA-supported study has found. Reporting in Nature Communications: Earth & Environment, the scientists used state-of-the art-computing to simulate marine life and physics colliding in one turbulent fjord. Oceanographers are keen to understand what drives the tiny plantlike organisms, which take up carbon dioxide and power the world’s fisheries.
Greenland’s mile-thick ice sheet is shedding some 293 billion tons (266 billion metric tons) of ice per year. During peak summer melt, more than 300,000 gallons (1,200 cubic meters) of fresh water drain into the sea every second from beneath Jakobshavn Glacier, also known as Sermeq Kujalleq,the most active glacier on the ice sheet. The waters meet and tumble hundreds of feet below the surface.
Teal-colored phytoplankton bloom off the Greenland coast in this satellite image captured in June 2024 by NASA’s PACE (Plankton, Aerosol, Cloud, ocean Ecosystem) mission.NASA The meltwater plume is fresh and more buoyant than the surrounding saltwater. As it rises, scientists have hypothesized, it may be delivering nutrients like iron and nitrate — a key ingredient in fertilizer — to phytoplankton floating at the surface.
Researchers track these microscopic organisms because, though smaller by far than a pinhead, they’re titans of the ocean food web. Inhabiting every ocean from the tropics to the polar regions, they nourish krill and other grazers that, in turn, support larger animals, including fish and whales.
Previous work using NASA satellite data found that the rate of phytoplankton growth in Arctic waters surged 57% between 1998 and 2018 alone. An infusion of nitrate from the depths would be especially pivotal to Greenland’s phytoplankton in summer, after most nutrients been consumed by prior spring blooms. But the hypothesis has been hard to test along the coast, where the remote terrain and icebergs as big as city blocks complicate long-term observations.
“We were faced with this classic problem of trying to understand a system that is so remote and buried beneath ice,” said Dustin Carroll, an oceanographer at San José State University who is also affiliated with NASA’s Jet Propulsion Laboratory in Southern California. “We needed a gem of a computer model to help.”
Sea of Data
To re-create what was happening in the waters around Greenland’s most active glacier, the team harnessed a model of the ocean developed at JPL and the Massachusetts Institute of Technology in Cambridge. The model ingests nearly all available ocean measurements collected by sea- and satellite-based instruments over the past three decades. That amounts to billions of data points, from water temperature and salinity to pressure at the seafloor. The model is called Estimating the Circulation and Climate of the Ocean-Darwin (ECCO-Darwin for short).
Simulating “biology, chemistry, and physics coming together” in even one pocket along Greenland’s 27,000 miles (43,000 kilometers) of coastline is a massive math problem, noted lead author Michael Wood, a computational oceanographer at San José State University. To break it down, he said the team built a “model within a model within a model” to zoom in on the details of the fjord at the foot of the glacier.
Using supercomputers at NASA’s Ames Research Center in Silicon Valley, they calculated that deepwater nutrients buoyed upward by glacial runoff would be sufficient to boost summertime phytoplankton growth by 15 to 40% in the study area.
More Changes in Store
Could increased phytoplankton be a boon for Greenland’s marine animals and fisheries? Carroll said that untangling impacts to the ecosystem will take time. Melt on the Greenland ice sheet is projected to accelerate in coming decades, affecting everything from sea level and land vegetation to the saltiness of coastal waters.
“We reconstructed what’s happening in one key system, but there’s more than 250 such glaciers around Greenland,” Carroll said. He noted that the team plans to extend their simulations to the whole Greenland coast and beyond.
Some changes appear to be impacting the carbon cycle both positively and negatively: The team calculated how runoff from the glacier alters the temperature and chemistry of seawater in the fjord, making it less able to dissolve carbon dioxide. That loss is canceled out, however, by the bigger blooms of phytoplankton taking up more carbon dioxide from the air as they photosynthesize.
Wood added: “We didn’t build these tools for one specific application. Our approach is applicable to any region, from the Texas Gulf to Alaska. Like a Swiss Army knife, we can apply it to lots of different scenarios.”
News Media Contacts
Jane J. Lee / Andrew Wang
Jet Propulsion Laboratory, Pasadena, Calif.
626-379-6874 / 818-354-0307
jane.j.lee@jpl.nasa.gov / andrew.wang@jpl.nasa.gov
Written by Sally Younger
2025-101
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Last Updated Aug 06, 2025 Related Terms
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By NASA
5 min read
Preparations for Next Moonwalk Simulations Underway (and Underwater)
Cloud cover can keep optical instruments on satellites from clearly capturing Earth’s surface. Still in testing, JPL’s Dynamic Targeting uses AI to avoid imaging clouds, yielding a higher proportion of usable data, and to focus on phenomena like this 2015 volcanic eruption in Indonesia Landsat 8 captured.NASA/USGS A technology called Dynamic Targeting could enable spacecraft to decide, autonomously and within seconds, where to best make science observations from orbit.
In a recent test, NASA showed how artificial intelligence-based technology could help orbiting spacecraft provide more targeted and valuable science data. The technology enabled an Earth-observing satellite for the first time to look ahead along its orbital path, rapidly process and analyze imagery with onboard AI, and determine where to point an instrument. The whole process took less than 90 seconds, without any human involvement.
Called Dynamic Targeting, the concept has been in development for more than a decade at NASA’s Jet Propulsion Laboratory in Southern California. The first of a series of flight tests occurred aboard a commercial satellite in mid-July. The goal: to show the potential of Dynamic Targeting to enable orbiters to improve ground imaging by avoiding clouds and also to autonomously hunt for specific, short-lived phenomena like wildfires, volcanic eruptions, and rare storms.
This graphic shows how JPL’s Dynamic Targeting uses a lookahead sensor to see what’s on a satellite’s upcoming path. Onboard algorithms process the sensor’s data, identifying clouds to avoid and targets of interest for closer observation as the satellite passes overhead.NASA/JPL-Caltech “The idea is to make the spacecraft act more like a human: Instead of just seeing data, it’s thinking about what the data shows and how to respond,” says Steve Chien, a technical fellow in AI at JPL and principal investigator for the Dynamic Targeting project. “When a human sees a picture of trees burning, they understand it may indicate a forest fire, not just a collection of red and orange pixels. We’re trying to make the spacecraft have the ability to say, ‘That’s a fire,’ and then focus its sensors on the fire.”
Avoiding Clouds for Better Science
This first flight test for Dynamic Targeting wasn’t hunting specific phenomena like fires — that will come later. Instead, the point was avoiding an omnipresent phenomenon: clouds.
Most science instruments on orbiting spacecraft look down at whatever is beneath them. However, for Earth-observing satellites with optical sensors, clouds can get in the way as much as two-thirds of the time, blocking views of the surface. To overcome this, Dynamic Targeting looks 300 miles (500 kilometers) ahead and has the ability to distinguish between clouds and clear sky. If the scene is clear, the spacecraft images the surface when passing overhead. If it’s cloudy, the spacecraft cancels the imaging activity to save data storage for another target.
“If you can be smart about what you’re taking pictures of, then you only image the ground and skip the clouds. That way, you’re not storing, processing, and downloading all this imagery researchers really can’t use,” said Ben Smith of JPL, an associate with NASA’s Earth Science Technology Office, which funds the Dynamic Targeting work. “This technology will help scientists get a much higher proportion of usable data.”
How Dynamic Targeting Works
The testing is taking place on CogniSAT-6, a briefcase-size CubeSat that launched in March 2024. The satellite — designed, built, and operated by Open Cosmos — hosts a payload designed and developed by Ubotica featuring a commercially available AI processor. While working with Ubotica in 2022, Chien’s team conducted tests aboard the International Space Station running algorithms similar to those in Dynamic Targeting on the same type of processor. The results showed the combination could work for space-based remote sensing.
Since CogniSAT-6 lacks an imager dedicated to looking ahead, the spacecraft tilts forward 40 to 50 degrees to point its optical sensor, a camera that sees both visible and near-infrared light. Once look-ahead imagery has been acquired, Dynamic Targeting’s advanced algorithm, trained to identify clouds, analyzes it. Based on that analysis, the Dynamic Targeting planning software determines where to point the sensor for cloud-free views. Meanwhile, the satellite tilts back toward nadir (looking directly below the spacecraft) and snaps the planned imagery, capturing only the ground.
This all takes place in 60 to 90 seconds, depending on the original look-ahead angle, as the spacecraft speeds in low Earth orbit at nearly 17,000 mph (7.5 kilometers per second).
What’s Next
With the cloud-avoidance capability now proven, the next test will be hunting for storms and severe weather — essentially targeting clouds instead of avoiding them. Another test will be to search for thermal anomalies like wildfires and volcanic eruptions. The JPL team developed unique algorithms for each application.
“This initial deployment of Dynamic Targeting is a hugely important step,” Chien said. “The end goal is operational use on a science mission, making for a very agile instrument taking novel measurements.”
There are multiple visions for how that could happen — possibly even on spacecraft exploring the solar system. In fact, Chien and his JPL colleagues drew some inspiration for their Dynamic Targeting work from another project they had also worked on: using data from ESA’s (the European Space Agency’s) Rosetta orbiter to demonstrate the feasibility of autonomously detecting and imaging plumes emitted by comet 67P/Churyumov-Gerasimenko.
On Earth, adapting Dynamic Targeting for use with radar could allow scientists to study dangerous extreme winter weather events called deep convective ice storms, which are too rare and short-lived to closely observe with existing technologies. Specialized algorithms would identify these dense storm formations with a satellite’s look-ahead instrument. Then a powerful, focused radar would pivot to keep the ice clouds in view, “staring” at them as the spacecraft speeds by overhead and gathers a bounty of data over six to eight minutes.
Some ideas involve using Dynamic Targeting on multiple spacecraft: The results of onboard image analysis from a leading satellite could be rapidly communicated to a trailing satellite, which could be tasked with targeting specific phenomena. The data could even be fed to a constellation of dozens of orbiting spacecraft. Chien is leading a test of that concept, called Federated Autonomous MEasurement, beginning later this year.
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Melissa Pamer
Jet Propulsion Laboratory, Pasadena, Calif.
626-314-4928
melissa.pamer@jpl.nasa.gov
2025-094
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Last Updated Jul 24, 2025 Related Terms
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By NASA
2 min read
Preparations for Next Moonwalk Simulations Underway (and Underwater)
From Sunday, June 22 to Wednesday, July 2, two research aircraft will make a series of low-altitude atmospheric research flights near Philadelphia, Baltimore, and some Virginia cities, including Richmond, as well as over the Los Angeles Basin, Salton Sea, and Central Valley in California.
NASA’s P-3 Orion aircraft, based out of the agency’s Wallops Flight Facility in Virginia, along with Dynamic Aviation’s King Air B200 aircraft, will fly over parts of the East and West coasts during the agency’s Student Airborne Research Program. The science flights will be conducted between June 22 and July 2, 2025. NASA/Garon Clark Pilots will operate the aircraft at altitudes lower than typical commercial flights, executing specialized maneuvers such as vertical spirals between 1,000 and 10,000 feet, circling above power plants, landfills, and urban areas. The flights will also include occasional missed approaches at local airports and low-altitude flybys along runways to collect air samples near the surface.
The East Coast flights will be conducted between June 22 and Thursday, June 26 over Baltimore and near Philadelphia, as well as near the Virginia cities of Hampton, Hopewell, and Richmond. The California flights will occur from Sunday, June 29 to July 2.
The flights, part of NASA’s Student Airborne Research Program (SARP), will involve the agency’s Airborne Science Program’s P-3 Orion aircraft (N426NA) and a King Air B200 aircraft (N46L) owned by Dynamic Aviation and contracted by NASA. The program is an eight-week summer internship program that provides undergraduate students with hands-on experience in every aspect of a scientific campaign.
The P-3, operated out of NASA’s Wallops Flight Facility in Virginia, is a four-engine turboprop aircraft outfitted with a six-instrument science payload to support a combined 40 hours of SARP science flights on each U.S. coast. The King Air B200 will fly at the same time as the P-3 but in an independent flight profile. Students will assist in the operation of the science instruments on the aircraft to collect atmospheric data.
“The SARP flights have become mainstays of NASA’s Airborne Science Program, as they expose highly competitive STEM students to real-world data gathering within a dynamic flight environment,” said Brian Bernth, chief of flight operations at NASA Wallops.
“Despite SARP being a learning experience for both the students and mentors alike, our P-3 is being flown and performing maneuvers in some of most complex and restricted airspace in the country,” said Bernth. “Tight coordination and crew resource management is needed to ensure that these flights are executed with precision but also safely.”
For more information about Student Airborne Research Program, visit:
https://science.nasa.gov/earth-science/early-career-opportunities/student-airborne-research-program/
By Olivia Littleton
NASA’s Wallops Flight Facility, Wallops Island, Va.
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Last Updated Jun 20, 2025 Related Terms
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By NASA
3 min read
Preparations for Next Moonwalk Simulations Underway (and Underwater)
When most people think of NASA, they picture rockets, astronauts, and the Moon. But behind the scenes, a group of inventors is quietly rewriting the rules of what’s possible — on Earth, in orbit, and beyond. Their groundbreaking inventions eventually become technology available for industry, helping to shape new products and services that improve life around the globe. For their contributions to NASA technology, we welcome four new inductees into the 2024-2025 NASA Inventors Hall of Fame
A robot for space and the workplace
Myron (Ron) Diftler led the team behind Robonaut 2 (R2), a humanoid robot developed with General Motors. The goal was to create a robot that could help humans both in space and on the factory floor. The R2 robot became the first humanoid robot in space aboard the International Space Station, and part of its technology was licensed for use on Earth, leading to a grip-strengthening robotic glove to help humans with strenuous, repetitive tasks. From factories to space exploration, Diftler’s work has real-world impact.
Some of the toughest electronic chips on and off Earth
Technology developed to one day explore the surface of Venus has to be tough enough to survive the planet where temperatures hit 860°F and the atmosphere is akin to battery acid. Philip Neudeck’s silicon carbide integrated circuits don’t just work — they ran for over 60 days in simulated Venus-like conditions. On Earth, these chips can boost efficiency in wireless communication systems, help make drilling for oil safer, and enable more practical electric vehicles.
From developing harder chip materials to unlocking new planetary missions, Neudeck is proving that the future of electronics isn’t just about speed — it’s about survival.
Hydrogen sensors that could go the distance on other worlds
Gary Hunter helped develop a hydrogen sensor so advanced it’s being considered for a future mission to Titan, Saturn’s icy moon. These and a range of other sensors he’s helped developed have applications that go beyond space exploration, such as factory floors here on Earth.
With new missions on the horizon and smarter sensors in development, Hunter is still pushing the boundaries of what NASA technology can do. Whether it’s Titan, the surface of Venus, or somewhere we haven’t dreamed of yet, this work could help shape the way to get there.
Advanced materials research to make travel safer
Advanced materials, such as foams and composites, are key to unlocking the next generation of manufacturing. From space exploration to industry, Erik Weiser spent years contributing his expertise to the development of polymers, ceramics, metals, nanomaterials, and more. He is named on more than 20 patents. During this time, he provided his foam expertise to the Space Shuttle Columbia accident investigation, the Shuttle Discovery Return-to-Flight Investigation and numerous teams geared toward improving the safety of the shuttle.
Today, Weiser serves as director of the Facilities and Real Estate Division at NASA Headquarters, overseeing the foundation of NASA’s missions. Whether it’s advancing research or optimizing real estate across the agency, he’s helping launch the future, one facility at a time.
Want to learn more about NASA’s game changing innovations? Visit the NASA Inventors Hall of Fame.
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Last Updated May 09, 2025 Related Terms
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