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By NASA
As part of NASA’s Artemis campaign, the Commercial Lunar Payload Services (CLPS) initiative, managed out of Johnson Space Center in Houston, is paving the way for conducting lunar science for the benefit of humanity.
Through CLPS, NASA teams worked closely with commercial companies to develop a new model for space exploration, enabling a sustainable return to the Moon. These commercial missions deliver NASA science and technology to the lunar surface, providing insights into the environment and demonstrating new technologies that will support future astronauts—on the Moon and, eventually, on Mars.
Carrying a suite of NASA science and technology, Firefly Aerospace’s Blue Ghost Mission 1 successfully landed at 3:34 a.m. EST on Sunday, March 2, 2025, near a volcanic feature called Mons Latreille within Mare Crisium, a more than 300-mile-wide basin located in the northeast quadrant of the Moon’s near side.Firefly Aerospace Intuitive Machines’ IM-2 captured an image March 6, 2025, after landing in a crater from the Moon’s South Pole. The lunar lander is on its side about 820 feet from the intended landing site, Mons Mouton. In the center of the image between the two lander legs is the Polar Resources Ice Mining Experiment 1 suite, which shows the drill deployed.Credit: Intuitive Machines 2025: A Year of Lunar Firsts
This year has already seen historic milestones. Firefly Aerospace’s Blue Ghost Mission 1 successfully delivered 10 science and technology instruments to the Moon on March 2, 2025. It touched down near a volcanic feature called Mons Latreille within Mare Crisium, a basin over 300 miles wide in the northeast quadrant of the Moon’s near side. Intuitive Machines’ IM-2 Mission, landed near the Moon’s South Pole on March 6, marking the southernmost lunar landing ever achieved.
The lunar deliveries for NASA have collected valuable insights and data to inform the next giant leap in humanity’s return to the Moon, helping scientists address challenges like lunar dust mitigation, resource utilization, and radiation tolerance.
Meet the Johnson employees contributing to lunar innovations that are helping to shape the future of human presence on the Moon.
Mark Dillard: Pioneering Payload Integration
Official NASA portrait of CLPS Payload Integration Manager Mark Dillard. NASA/James Blair Mark Dillard, Blue Ghost Mission 1 payload integration manager, has been at the forefront of space exploration for more than 40 years, including 28 years with the International Space Station Program. Beyond ensuring all NASA payloads are integrated onto the lunar landers, he oversees schedules, costs, and technical oversight while fostering strong partnerships with CLPS vendors and NASA science teams.
“I believe NASA is about to enter its next Golden Age,” said Dillard. “The enthusiasm of Firefly’s engineering team is contagious, and it has been a privilege to witness their success.”
Dillard’s career includes five years as NASA’s resident manager in Torino, Italy, where he oversaw the development of International Space Station modules, including three logistics modules, the European Space Agency’s Columbus module, and two space station nodes.
Mark Dillard in the clean room with Firefly Aerospace’s Blue Ghost Mission 1 lander behind him. “Like Apollo, Shuttle, and the International Space Station Programs, Artemis will add the next building block for space exploration,” said Dillard. “The CLPS initiative is a significant building block, aiming to establish reliable and long-term access to the lunar surface.”
Susan Lederer: Guiding Science in Real Time
Official portrait of CLPS Project Scientist Susan Lederer.NASA/Bill Stafford Susan Lederer, IM-2 project scientist, has spent years ensuring all the NASA instruments are fully prepared for lunar operations. She oversees real-time science operations from IM’s Nova Control Center, working to maximize the mission’s scientific return and prepare for the next generation of astronauts to explore the Moon, Mars, and beyond.
“We have done our best with remote data, but the only way to truly understand the Moon—how to drill for resources, how to live on another celestial body—is to go there and do the experiments,” she said. “Now, we get to do that.”
Lederer’s path to CLPS was shaped by a background in space exploration, astrophysics, and planetary science. She has contributed to multiple spacecraft missions, including NASA’s Deep Impact mission, which sent a projectile into Comet Tempel 1, and a separate mission that retrieved a sample from asteroid Itokawa.
On Ascension Island, a remote joint U.S. Air Force and Royal Air Force base, she co-led the construction of a 20,000-pound optical telescope to study space debris. Her work spans collaborations with the Defense Advanced Research Projects Agency, a tenure as a physics professor, and the design of impact experiments at NASA’s Experimental Impact Lab, where she used a vertical gun firing projectiles at speeds exceeding those of sniper rifles to study asteroid and comet collisions.
Lederer has logged hundreds of hours conducting observing runs at professional observatories worldwide, where she refined both her scientific precision and her ability to repair instruments while working alone on remote mountaintops.
As a private pilot and SciComm (the science equivalent of Capsule Communicator) for NASA’s Desert Research and Technology Studies, she honed her mission communication skills. She was also part of an international team that discovered two extrasolar planetary systems—one with a single Earth-sized planet and another with seven—orbiting ultracool red dwarf stars.
Her expertise has uniquely prepared her to oversee real-time science operations for lunar missions in high-intensity environments.
NASA and Intuitive Machines IM-1 lunar lander mission status press briefing. From left to right: Steve Altemus, Intuitive Machines’ chief executive officer and co-founder; Dr. Joel Kearns, NASA’s deputy associate administrator, Exploration, Science Mission Directorate; Dr. Tim Crain, Intuitive Machines’ chief technology officer and co-founder; and CLPS Project Scientist Susan Lederer. NASA/Robert Markowitz Lederer emphasizes the importance of both scientific discovery and the practical realities of living and working on another world—a challenge NASA is tackling for the first time in history.
“Honestly, it’s when things don’t go as planned that you learn the most,” she said. “I’m looking forward to the surprises that we get to solve together as a team. That’s our greatest strength—the knowledge and teamwork that make this all happen.”
Lederer credits the success of CLPS lunar deliveries to the dedication of teams working on payloads like Polar Resources Ice Mining Experiment-1 and Lunar Retroreflector Array, as well as peers within NASA’s Science Mission Directorate, Space Technology Mission Directorate, and Intuitive Machines.
“What we do every day in CLPS creates a new world for exploration that is efficient in schedule, cost, and gaining science and technology knowledge in these areas like we’ve never done before,” said Lederer. “It feels very much like being a trailblazer for inspiring future generations of explorers – at least that’s my hope, to keep the next generation inspired and engaged in the wonders of our universe.”
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By NASA
This video sparkles with synthetic supernovae from the OpenUniverse project, which simulates observations from NASA’s upcoming Nancy Grace Roman Space Telescope. More than a million exploding stars flare into visibility and then slowly fade away. The true brightness of each transient event has been magnified by a factor of 10,000 for visibility, and no background light has been added to the simulated images. The pattern of squares shows Roman’s full field of view.Credit: NASA’s Goddard Space Flight Center and M. Troxel The universe is ballooning outward at an ever-faster clip under the power of an unknown force dubbed dark energy. One of the major goals for NASA’s upcoming Nancy Grace Roman Space Telescope is to help astronomers gather clues to the mystery. One team is setting the stage now to help astronomers prepare for this exciting science.
“Roman will scan the cosmos a thousand times faster than NASA’s Hubble Space Telescope can while offering Hubble-like image quality,” said Rebekah Hounsell, an assistant research scientist at the University of Maryland-Baltimore county working at NASA’s Goddard Space Flight Center in Greenbelt, Maryland, and a co-principal investigator of the Supernova Cosmology Project Infrastructure Team preparing for the mission’s High-Latitude Time-Domain Survey. “We’re going to have an overwhelming amount of data, and we want to make it so scientists can use it from day one.”
Roman will repeatedly look at wide, deep regions of the sky in near-infrared light, opening up a whole new view of the universe and revealing all sorts of things going bump in the night. That includes stars being shredded as they pass too close to a black hole, intense emissions from galaxy centers, and a variety of stellar explosions called supernovae.
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This data sonification transforms a vast simulation of a cosmic survey from NASA’s upcoming Nancy Grace Roman Space Telescope into a symphony of stellar explosions. Each supernova’s brightness controls its volume, while its color sets its pitch –– redder, more distant supernovae correspond to deep, low tones while bluer, nearer ones correspond to higher frequencies. The sound in stereo mirrors their locations in the sky. The result sounds like celestial wind chimes, offering a way to “listen” to cosmic fireworks. Credit: NASA’s Goddard Space Flight Center, M. Troxel, SYSTEM Sounds (M. Russo, A. Santaguida) Cosmic Radar Guns
Scientists estimate around half a dozen stars explode somewhere in the observable universe every minute. On average, one of them will be a special variety called type Ia that can help astronomers measure the universe.
These explosions peak at a similar intrinsic brightness, allowing scientists to find their distances simply by measuring how bright they appear.
Scientists can also study the light of these supernovae to find out how quickly they are moving away from us. By comparing how fast they’re receding at different distances, scientists will trace cosmic expansion over time.
Using dozens of type Ia supernovae, scientists discovered that the universe’s expansion is accelerating. Roman will find tens of thousands, including very distant ones, offering more clues about the nature of dark energy and how it may have changed throughout the history of the universe.
“Roman’s near-infrared view will help us peer farther because more distant light is stretched, or reddened, as it travels across expanding space,” said Benjamin Rose, an assistant professor at Baylor University in Waco, Texas, and a co-principal investigator of the infrastructure team. “And opening a bigger window, so to speak, will help us get a better understanding of these objects as a whole,” which would allow scientists to learn more about dark energy. That could include discovering new physics, or figuring out the universe’s fate.
The People’s Telescope
Members of the planning team have been part of the community process to seek input from scientists worldwide on how the survey should be designed and how the analysis pipeline should work. Gathering public input in this way is unusual for a space telescope, but it’s essential for Roman because each large, deep observation will enable a wealth of science in addition to fulfilling the survey’s main goal of probing dark energy.
Rather than requiring that many individual scientists submit proposals to reserve their own slice of space telescope time, Roman’s major surveys will be coordinated openly, and all the data will become public right away.
“Instead of a single team pursuing one science goal, everyone will be able to comb through Roman’s data for a wide variety of purposes,” Rose said. “Everyone will get to play right away.”
This animation shows a possible tiling pattern of part of NASA’s Nancy Grace Roman Space Telescope’s High Latitude Time-Domain Survey. The observing program, which is being designed by a community process, is expected to have two components: wide (covering 18 square degrees, a region of sky as large as about 90 full moons) and deep (covering about 5.5 square degrees, about as large as 25 full moons). This animation shows the deeper portion, which would peer back to when the universe was about 500 million years old, less than 4 percent of its current age of 13.8 billion years.Credit: NASA’s Goddard Space Flight Center This Is a Drill
NASA plans to announce the survey design for Roman’s three core surveys, including the High-Latitude Time-Domain Survey, this spring. Then the planning team will simulate it in its entirety.
“It’s kind of like a recipe,” Hounsell said. “You put in your observing strategy — how many days, which filters — and add in ‘spices’ like uncertainties, calibration effects, and the things we don’t know so well about the instrument or supernovae themselves that would affect our results. We can inject supernovae into the synthetic images and develop the tools we’ll need to analyze and evaluate the data.”
Scientists will continue using the synthetic data even after Roman begins observing, tweaking all aspects of the simulation and correcting unknowns to see which resulting images best match real observations. Scientists can then fine-tune our understanding of the universe’s underlying physics.
“We assume that all supernovae are the same regardless of when they occurred in the history of the universe, but that might not be the case,” Hounsell said. “We’re going to look further back in time than we’ve ever done with type Ia supernovae, and we’re not completely sure if the physics we understand now will hold up.”
There are reasons to suspect they may not. The very first stars were made almost exclusively of hydrogen and helium, compared to stars today which contain several dozen elements. Those ancient stars also lived in very different environments than stars today. Galaxies were growing and merging, and stars were forming at a furious pace before things began calming down between about 8 and 10 billion years ago.
“Roman will very dramatically add to our understanding of this cosmic era,” Rose said. “We’ll learn more about cosmic evolution and dark energy, and thanks to Roman’s large deep view, we’ll get to do much more science too with the same data. Our work will help everyone hit the ground running after Roman launches.”
For more information about the Roman Space Telescope visit www.nasa.gov/roman.
The Nancy Grace Roman Space Telescope is managed at NASA’s Goddard Space Flight Center in Greenbelt, Maryland, with participation by NASA’s Jet Propulsion Laboratory and Caltech/IPAC in Southern California, the Space Telescope Science Institute in Baltimore, and a science team comprising scientists from various research institutions. The primary industrial partners are BAE Systems Inc. in Boulder, Colorado; L3Harris Technologies in Rochester, New York; and Teledyne Scientific & Imaging in Thousand Oaks, California.
By Ashley Balzer
NASA’s Goddard Space Flight Center, Greenbelt, Md.
Media contact:
Claire Andreoli
NASA’s Goddard Space Flight Center, Greenbelt, Md.
301-286-1940
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Last Updated Mar 11, 2025 EditorAshley BalzerContactAshley Balzerashley.m.balzer@nasa.govLocationGoddard Space Flight Center Related Terms
Nancy Grace Roman Space Telescope Dark Energy Goddard Space Flight Center Stars The Universe View the full article
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By Space Force
The Space Force landed the X-37B at Vandenberg Space Force Base, California, to exercise its rapid ability to launch and recover its systems across multiple sites. X-37B’s Mission 7 was the first launch on a SpaceX Falcon Heavy Rocket to a Highly Elliptical Orbit.
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By NASA
Explore This Section Earth Home Earth Observer Home Editor’s Corner Feature Articles Meeting Summaries News Science in the News Calendars In Memoriam More Archives 21 min read
Summary of the 10th DSCOVR EPIC and NISTAR Science Team Meeting
Introduction
The 10th Deep Space Climate Observatory (DSCOVR) Earth Polychromatic Camera (EPIC) and National Institute of Standards and Technology (NIST) Advanced Radiometer [NISTAR] Science Team Meeting (STM) was held October 16–18, 2024. Over 50 scientists attended, most of whom were from NASA’s Goddard Space Flight Center (GSFC), with several participating from other NASA centers, U.S. universities, and U.S. Department of Energy laboratories. There was one international participant – from Estonia. A full overview of DSCOVR’s Earth-observing instruments was published in a previous article in The Earth Observer and will not be repeated here. This article provides the highlights of the 2024 meeting. The meeting agenda and full presentations can be downloaded from GSFC’s Aura Validation Data Center.
Opening Presentations
The opening session of the 10th DSCOVR STM was special. Former U.S., Vice President Al Gore attended the opening session and gave a presentation at the panel discussion “Remote Sensing and the Future of Earth Observations” – see Photo. Gore was involved in the early days of planning the DSCOVR mission, which at that time was known as Triana. He reminisced about his involvement and praised the team for the work they’ve done over the past decade to launch and maintain the DSCOVR mission. Following the STM Opening Session, Gore spoke at a GSFC Engage session in Building 3 later that afternoon on the same topic, but before a wider audience. [Link forthcoming.]
Following Gore’s remarks, the remainder of the opening session consisted of a series of presentations from DSCOVR mission leaders and representatives from GSFC and National Oceanic and Atmospheric Administration (NOAA). Thomas Neumann [GSFC, Earth Sciences Division (ESD)—Deputy Director] opened the meeting and welcomed Vice President Gore and the STM participants on behalf of the ESD. Adam Szabo [GSFC—DSCOVR Project Scientist] briefly reported that the spacecraft was still in “good health.” The EPIC and NISTAR instruments on DSCOVR continue to return their full science observations. He also gave an update on DSCOVR Space Weather research. Alexander Marshak [GSFC—DSCOVR Deputy Project Scientist] briefly described DSCOVR mission history and the science results based on DSCOVR observations from the first Sun–Earth Lagrange point (hereinafter, the L1 point). He also summarized the major EPIC and NISTAR results to date. At this time, more than 125 papers related to DSCOVR are listed on the EPIC website. Elsayed Talaat [NOAA, Office of Space Weather observations—Director] discussed the future of Earth and space science studies from the L1 point.
Photo. Former U.S. Vice President Al Gore spoke at the opening session of the 10th DSCOVR Science Team Meeting. This photo shows Gore together with Makenzie Lystrup [NASA’s Goddard Space Flight Center (GSFC)—Center Director], Christa Peters-Lidard [GSFC, Director of the Science and Exploration Directorate], Elsayed Talaat [National Oceanic and Atmospheric Administration (NOAA)—Director of the Office of Space Weather Observations], Dalia Kirschbaum [GSFC—Director of Earth Sciences], other GSFC management, and members of the DSCOVR Science Team. Photo credit: Katy Comber (GSFC) Updates on DSCOVR Operations
The DSCOVR mission components continue to function nominally. The meeting was an opportunity to update participants on progress over the past year on several fronts, including data acquisition, processing, and archiving, and release of new versions of several data products. The number of people using DSCOVR data continues to increase, with a new Science Outreach Team having been put in place to aid users in several aspects of data discovery, access, and user friendliness.
Amanda Raab [NOAA, DSCOVR Mission Operations and Systems] reported on the current status of the DSCOVR mission. She also discussed spacecraft risks and issues such as memory fragmentation and data storage task anomalies but indicated that both these issues have been resolved.
Hazem Mahmoud [NASA’s Langley Research Center (LaRC)] discussed the work of the Atmospheric Science Data Center (ASDC), which is based at LaRC. He showed DSCOVR mission metrics since 2015, focusing on data downloads and the global outreach of the mission. He noted that there has been a significant rise in the number of downloads and an increasing diversity of countries accessing ozone (O3), aerosol, and cloud data products. Mahmoud also announced that the ASDC is transitioning to the Amazon Web Services cloud, which will further enhance global access and streamline DSCOVR data processing.
Karin Blank [GSFC] covered the discovery of a new type of mirage that can only be seen in deep space from EPIC. The discussion included the use of a ray tracer in determining the origin of the phenomenon, and under what conditions it can be seen.
Alexander Cede [SciGlob] and Ragi Rajagopalan [LiftBlick OG] gave an overview of the stability of the EPIC Level-1A (L1A) data over the first decade of operation. They explained that the only observable changes in the EPIC calibration are to the dark count and flat field can – and that these changes can be entirely attributed to the temperature change of the system in orbit compared to prelaunch conditions. No additional hot or warm pixels have emerged since launch and no significant sensitivity drifts have been observed. The results that Cede and Rajagopalan showed that EPIC continues to be a remarkably stable instrument, which is attributed to a large extent to its orbit around the L1 point, which is located outside the Earth’s radiation belts and thus an extremely stable temperature environment. Consequently, in terms of stability, the L1 point is far superior to other Earth observation points, e.g., ground-based, low-Earth orbit (LEO), polar orbit, or geostationary Earth orbit (GEO).
Marshall Sutton [GSFC] discussed the state of the DSCOVR Science Operation Center (DSOC). He also talked about processing EPIC Level-1 (L1) data into L2 science products, daily images available on the EPIC website, and special imaging opportunities, e.g., volcanic eruptions.
EPIC Calibration
After 10 years of operation in space, the EPIC instrument on DSCOVR continues to be a remarkably stable instrument. The three presentations describe different ways that are used to verify the EPIC measurements remain reliable.
Conor Haney [LaRC] reported on anomalous outliers during February and March 2023 from the broadband shortwave (SW) flux using EPIC L1B channel radiances. To ensure that these outliers were not a result of fluctuations in the EPIC L1B channel radiances, both the EPIC radiance measurements and coincident, ray-matched radiance measurements from the Visible Infrared Imaging Radiometer Suite (VIIRS), on the Suomi National Polar-orbiting Partnership (Suomi NPP) platform, were processed using the same deep convective cloud invariant target (DCC-IT) algorithm. This analysis confirmed that the anomalous behavior was due to the DCC-IT algorithm – and not because of fluctuations in the EPIC L1B channel radiances. The improved DCC-IT methodology was also applied to the EPIC L1B radiances. The results indicate that the EPIC record is quite stable with a lower uncertainty than when processed using the previous DCC-IT methodology.
Igor Geogdzhaev [NASA’s Goddard Institute for Space Studies (GISS)/Columbia University] reported that EPIC Visible–Near Infrared (VIS-NIR) calibration based on VIIRS (on Suomi NPP) data has showed excellent stability, while VIIRS (on NOAA-20 and -21) derived gains agree to within 1–2%. Preliminary analysis showed continuity in the gains derived from Advanced Baseline Imager (ABI) data. (ABI flies on NOAA’s two operational Geostationary Operational Environmental Satellite–Series R satellites – GOES-17 and GOES-18.
Liang–Kang Huang [Science Systems and Applications, Inc. (SSAI)] reported on updates to the EPIC ultraviolet (UV) channel sensitivity time dependences using Sun-normalized radiance comparisons between EPIC and measurements from the Ozone Mapping and Profiler Suite (OMPS) Nadir Mapper (NM) on Suomi NPP, with coinciding footprints and solar/satellite angles. Huang’s team determined vignetting factors in the sensitivity calibration between 2021–2024, as a function of charge coupled device (CCD) pixel radius and pixel polar angles, using special lunar measurement sequences.
NISTAR Status and Science with Its Observations
The NISTAR instrument remains fully functional and continues its uninterrupted data record. The NISTAR-related presentations during this meeting included more details on specific topics related to NISTAR as well as on efforts to combine information from both EPIC and NISTAR.
Steven Lorentz [L-1 Standards and Technology, Inc.] reported that the NISTAR on DSCOVR has been measuring the irradiance from the sunlit Earth in three bands for more than nine years. The three bands measure the outgoing total and reflected-solar radiation from Earth at a limited range of solar angles. To compare the long-term stability of EPIC and NISTAR responses, researchers developed a narrowband to wideband conversion model to allow the direct comparison of the EPIC multiband imagery and NISTAR SW – see Figure 1 – and silicon photodiode channels. Lorentz presented daily results spanning several years. The comparison employed different detectors from the same spacecraft – but with the same vantage point – thereby avoiding any model dependent orbital artifacts.
Figure 1. NISTAR daily average shortwave (SW) radiance plotted for each year from 2017–2024. The results indicated a 10% increase in the shortwave radiance as the backscattering angle approaches 178° in December 2020. A 6% increase is noted in September of the same year. Figure credit: Steven Lorentz (L-1 Standards and Technology) Clark Weaver [University of Maryland, College Park (UMD)] used spectral information from the SCanning Imaging Absorption spectroMeter for Atmospheric CartograpHY (SCIAMACHY), which flew on the European Space Agency’s (ESA) Envisat satellite from 2002–2012, to fill EPIC spectral gaps. He reported on construction of a composite height resolution spectrum that was spectrally integrated to produce SW energy. Weaver explained that he compared the EPIC reflected SW with four-hour averages from Band 4 on NISTAR. He used spectral information from SCIAMACHY to fill in gaps. Weaver also discussed results of a comparison of area integrated EPIC SW energy with observations from NISTAR .
Andrew Lacis [GISS] reported on results of analysis of seven years of EPIC-derived planetary albedo for Earth, which reveal global-scale longitudinal variability occurring over a wide range of frequencies – with strong correlation between nearby longitudes and strong anticorrelation between diametrically opposed longitudes. This behavior in the Earth’s global-scale energy budget variability is fully corroborated by seven years of NISTAR silicon photodiode measurements, which view the Earth with 1º longitudinal resolution. This analysis establishes the DSCOVR mission EPIC/NISTAR measurements as a new and unmatched observational data source for evaluating global climate model performance– e.g., see Figure 2.
Figure 2. This graph shows the diurnal variation in planetary albedo as measured by EPIC for five different eight-day-Blurred Meridians relative to Global Mean for 2021 [left] and 2022 [right]. Figure credit: Andrew Lacis [GISS] Wenying Su [LaRC] discussed global daytime mean SW fluxes within the EPIC field of view produced from January 2016–June 2024. These quasi-hourly SW fluxes agree very well with the Synoptic data product from the Clouds and the Earth’s Radiant Energy System (CERES) instruments (currently flying on the Terra and Aqua, Suomi NPP, and NOAA-20 platforms) with the root mean square errors (rmse) less than 3 W/m2. This SW flux processing framework will be used to calculate NISTAR SW flux when Version 4 (V4) of the NISTAR radiance becomes available. Su noted that SW fluxes from EPIC are not suitable to study interannual variability as the magnitude of EPIC flux is sensitive to the percentage of daytime area visible to EPIC.
Update on EPIC Products and Science Results
EPIC has a suite of data products available. The following subsections summarize content during the DSCOVR STM related to these products. The updates focus on several data products and the related algorithm improvements.
Total Column Ozone
Jerry Ziemke [Morgan State University (MSU), Goddard Earth Sciences Technology and Research–II (GESTAR II)] and Natalya Kramarova [GSFC] reported that tropospheric O3 from DSCOVR EPIC shows anomalous reductions of ~10% throughout the Northern Hemisphere (NH) starting in Spring 2020 that continues to the present. The EPIC data, along with other satellite-based (e.g., Ozone Monitoring Instrument (OMI) on NASA’s Aura platform) and ground-based (e.g., Pandora) data, indicate that the observed NH reductions in O3 are due to combined effects from meteorology and reduced pollution, including reduced shipping pollution in early 2020 (during COVID) – see Figure 3. EPIC 1–2 hourly data are also used to evaluate hourly total O3 and derived tropospheric O3 from NASA’s Tropospheric Emissions: Monitoring of Pollution (TEMPO) geostationary instrument. Ziemke explained that comparison of TEMPO data with EPIC data has helped the researchers characterize a persistent latitude-dependent offset in TEMPO total O3 data of ~10–15% from south to north over the North American continent.
Figure 3. This dataset combines input from EPIC, OMPS, and OMI from 2004–2022. The onset of the COVID-19 pandemic in 2020 can be seen clearly in the data as it corresponds to a sudden drop in tropospheric column ozone by ~3 Dobson Units in the Northern Hemisphere. Figure credit: Jerry Ziemke (Morgan State University, GESTAR-II) Algorithm Improvement for Ozone and Sulfur Dioxide Products
Kai Yang [UMD] presented a comprehensive evaluation of total and tropospheric O3 retrievals, highlighting the long-term stability and high accuracy of EPIC measurements. He also validated EPIC’s volcanic sulfur dioxide (SO2) retrievals by comparing them with ground-based Brewer spectrophotometer measurements and summarized EPIC’s observations of SO2 from recent volcanic eruptions.
Simon Carn [University of Michigan] showed the first comparisons between the EPIC L2 volcanic SO2 product and SO2 retrievals from the Geostationary Environment Monitoring Spectrometer (GEMS) on the Korean GEO-Kompsat-2B satellite. GEMS observes East Asia as part of the new geostationary UV air quality (GEO-AQ) satellite constellation (which also includes TEMPO that observes North America and will include the Ultraviolet–Visible–Near Infrared (UVN) instrument on the European Copernicus Sentinel-4 mission, that will be launched in 2025 to observe Europe and surrounding areas) – but is not optimized for measurements of high SO2 columns during volcanic eruptions. EPIC SO2 data for the 2024 eruption of Ruang volcano in Indonesia are being used to validate a new GEMS volcanic SO2 product. Initial comparisons show good agreement between EPIC and GEMS before volcanic cloud dispersal and confirm the greater sensitivity of the hyperspectral GEMS instrument to low SO2 column amounts.
Aerosols
Alexei Lyapustin [GSFC] reported that the latest EPIC aerosols algorithm (V3) simultaneously retrieves aerosol optical depth, aerosol spectral absorption, and aerosol layer height (ALH) – achieving high accuracy. He showed that global validation of the single scattering albedo in the blue and red shows 66% and 81–95% agreement respectively, with Aerosol Robotic Network (AERONET) observations – which is within the expected error of 0.03 for smoke and dust aerosols. Lyapustin also reported on a comparison of EPIC aerosol data collected from 2015–2023 by the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP), which flew on the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) mission. The results show that ALH is retrieved with rmse ~1.1 km (0.7 mi). ALH is unbiased over the ocean and is underestimated by 450 m (1470 ft) for the smoke and by 750 m (2460 ft) for the dust aerosols over land.
Myungje Choi and Sujung Go [both from University of Maryland, Baltimore County’s (UMBC), GESTAR II] presented results from a global smoke and dust characterization using Multi-Angle Implementation of Atmospheric Correction (MAIAC) algorithm. This study characterized smoke and dust aerosol properties derived from MAIAC EPIC processing, examining spectral absorption, ALH, and chemical composition (e.g., black and brown carbon). Regions with smoldering wildfires, e.g., North America and Siberia, exhibited high ALH and a significant fraction of brown carbon, while Central Africa showed lower ALH with higher black carbon emissions.
Omar Torres [GSFC] discussed how L1 DSCOVR-EPIC observations are being used to study air quality (i.e., tropospheric O3 and aerosols) globally. Torres noted that this application of EPIC-L1 observations is of particular interest in the Southern Hemisphere (SH) where, unlike over the NH, there are currently no space GEO-based air quality measurements – and no plans for them in the foreseeable future.
Hiren Jethva [MSU, GESTAR II] presented the new results of the aerosol optical centroid height retrieved from the EPIC Oxygen-B band observations. He described the algorithm details, showed retrieval maps, and reviewed the comparative analysis against CALIOP backscatter-weighted measurements. The analysis showed a good level of agreement with more than 70% of matchup data within 1–1.5 km (0.6–0.9 mi) difference.
Jun Wang [University of Iowa] presented his team’s work on advancing the second generation of the aerosol optical centroid height (AOCH) algorithm for EPIC. Key advancements included: constraining surface reflectance in aerosol retrieval using an EPIC-based climatology of surface reflectance ratios between 442–680 nm; incorporating a dynamic aerosol model to characterize aged smoke particles; and employing a spectral slope technique to distinguish thick smoke plumes from clouds. Results show that both atmospheric optical depth (AOD) and AOCH retrievals are improved in the second generation of AOCH algorithm.
Olga Kalashnikova [NASA/Jet Propulsion Laboratory (JPL)] reported on improving brown carbon evolution processes in the Weather Research and Forecasting model coupled with Chemistry (WRF-Chem) model with EPIC products. She indicated that DSCOVR product evaluation, using lidar aerosol height measurements from CALIOP, led to an improved operational brown carbon product. To better resolve the temporal evolution of brown carbon, chemical transport models need to include more information about near-source fires.
Mike Garay [NASA/Jet Propulsion Laboratory (JPL)] discussed constraining near-source brown carbon emissions from 2024 Canadian ‘zombie’ fires with EPIC products. He reported that fires in British Columbia, Canada showed differences in brown carbon emission near the sources. Garay explained that their investigation has revealed that these differences were related to fire intensity and variations in vegetation/soil content.
Yuekui Yang [GSFC] presented work that examined the impact of Earth’s curvature consideration on EPIC cloud height retrievals. Biases under the Plane Parallel (PPL) assumption is studied by comparing results using the improved pseudo-spherical shell approximation. PPL retrievals in general bias high and for a cloud with height of 5 km (3 mi), the bias is about 6%.
Alfonso Delgado Bonal [UMBC] stated that the EPIC vantage point offers a unique opportunity to observe not only the current state of the Earth but also its temporal evolution. By capturing multiple observations of the planet throughout the day, EPIC enables statistical reconstruction of diurnal patterns in clouds and other atmospheric parameters. Bonal’s team focused their research on O3 (primarily tropospheric) over the U.S. to demonstrate the presence of a diurnal cycle in the western regions of the continental U.S. However, ground-based data from PANDORA for specific locations do not support these diurnal variations – underscoring the critical role of space-based O3 retrievals. The proposed methodology is not limited to clouds or O3 but is broadly applicable to other EPIC measurements for the dynamic nature of our planet.
Elizabeth Berry [Atmospheric and Environmental Research (AER)] presented results from a coincident DSCOVR–CloudSat dataset [covering 2015–2020]. Cloud properties (e.g., cloud height and optical depth) from DSCOVR and CloudSat are moderately correlated and show quite good agreement given differences in the instruments sensitivities and footprints. Berry explained that a machine-learning model trained on the coincident data demonstrates high accuracy at predicting the presence of vertical cloud layers. However, precision and recall metrics highlight the challenge of predicting the precise location of cloud boundaries.
Anthony Davis [JPL] presented a pathway toward accurate estimation of the cloud optical thickness (COT) of opaque clouds and cloud systems, e.g., supercells, mesoscale convective complexes, and tropical cyclones (TCs). He described the approach, which uses differential oxygen absorption spectroscopy (DOAS) that has resolving power greater than 104 – which is comparable to that of the high-resolution spectrometers on NASA’s Orbiting Carbon Observatory–2 (OCO-2) – but is based upon the cloud information content of EPIC’s O2 A- and B-band radiances. Unlike the current operational retrieval of COT – which uses data from the Moderate Resolution Imaging Spectroradiometer (MODIS) on Terra and Aqua – the DOAS-based technique does not saturate at COT exceeding ~60. According to a popular TC model with two-moment microphysics, COT in a tropical storm or hurricane can reach well into the hundreds, sometimes exceeding 1000. Davis said that once the new COT estimates become available, they will provide new observational constraints on process and forecast models for TCs.
Ocean
Robert Frouin [Scripps Institution of Oceanography, University of California] discussed ocean surface radiation products derived from EPIC data. He explained that significant advancements have been achieved in processing and evaluating ocean biology and biogeochemistry products derived from EPIC imagery. V1 updates enhanced accuracy by integrating Modern-Era Retrospective analysis for Research and Applications V2 (MERRA-2) ancillary data and refining calculations for atmospheric and surface parameters. Frouin introduced several diurnal products, including hourly photosynthetically active radiation (PAR) fluxes, spectral water reflectance, and chlorophyll-a concentrations. He said that these new MODIS-derived products have been validated through comparisons with data from the Advanced Himawari Imager on the Japanese Himawar–8 and –9 satellites. In order to address the gaps in these diurnal products, Frouin explained that the team developed a convolutional neural network that has been used effectively to reconstruct missing PAR values with high accuracy.
Vegetation
Yuri Knyazikhin [Boston University] reported on the status of the Vegetation Earth System Data Record (VESDR) that provides a variety of parameters including: Leaf Area Index (LAI), diurnal courses of Normalized Difference Vegetation Index (NDVI), Sunlit LAI (SLAI), Fraction of incident Photosynthetically Active Radiation (FPAR) absorbed by the vegetation, Directional Area Scattering Function (DASF), Earth Reflector Type Index (ERTI), and Canopy Scattering Coefficient (CSC). Knyazikhin discussed analysis of the diurnal and seasonal variations of these quantities. EPIC LAI and FPAR are consistent with MODIS-derived measurements of the same parameters.
Jan Pisek [University of Tartu/Tartu Observatory, Estonia] discussed efforts to derive leaf inclination information from EPIC data. The very first evaluation over Tumbarumba site (in New South Wales, Australia) showed that the angular variation in parameters obtained from EPIC reflects the expected variations due to the erectophile vegetation present at the site.
Sun Glint
Tamás Várnai [UMBC, JCET] discussed EPIC observations of Sun glint from ice clouds. The cloud glints come mostly from horizontally oriented ice crystals and have strong impact in EPIC cloud retrievals. Várnai reported that the EPIC glint product is available from the ASDC – see Figure 4. Glint data can help reduce the uncertainties related to horizontally oriented ice crystals and yield additional new insights about the microphysical and radiative properties of ice clouds.
Figure 4. [top row] EPIC glint mask examples over land in [left to right] Paraguay, Sudan, Thailand, and Brazil. [bottom row] The corresponding EPIC glint mask for each image on the top row indicates the band (red, green and blue) and the size of sun glint for each of them. Figure credit: Tamás Várnai (University of Maryland, Baltimore County) Alexander Kostinski [Michigan Technology University] explained that because they detected climatic signals (i.e., longer-term changes and semi-permanent features, e.g., ocean glitter), they developed a technique to suppress geographic “noise” in EPIC images that involves introducing temporally (monthly) and conditionally (classifying by surface/cover type, e.g., land, ocean, clouds) averaged reflectance images – see Figure 5. The resulting images display seasonal dependence in a striking manner. Additionally, cloud-free, ocean-only images highlight prominent regions of ocean glitter.
Figure 5. Monthly reflectances for clear land pixels. Earth masquerading as Jupiter; latitudinal bright bands are caused by features such as the Sahara and Antarctica. Black spots are due to the lack or dearth of clear land pixels at that latitude. Repeated spots within latitudinal bands reflect roughly bi-hourly image sampling. Figure credit: Alexander Kostinski (Michigan Technology University); from a 2024 paper published in Frontiers of Remote Sensing Jiani Yang [Caltech] reported that spatially resolving light curves from DSCOVR is crucial for evaluating time-varying surface features and the presence of an atmosphere. Both of these features are essential for sustaining life on Earth – and thus can be used to assess the potential habitability of exoplanets. Using epsilon machine reconstruction, the statistical complexity from the time series data of these light curves can be calculated. The results show that statistical complexity serves as a reliable metric for quantifying the intricacy of planetary features. Higher levels of planetary complexity qualitatively correspond to increased statistical complexity and Shannon entropy, illustrating the effectiveness of this approach in identifying planets with the most dynamic characteristics.
Other EPIC Science Results
Guoyong Wen [MSU, GESTAR II] analyzed the variability of global spectral reflectance from EPIC and the integrated broadband reflectance on different timescales. He reported that on a diurnal timescale, the global reflectance variations in UV and blue bands are statistically similar – and drastically different from those observed in longer wavelength bands (i.e., green to NIR). The researchers also did an analysis of monthly average results and found that temporal averaging of the global reflectance reduces the variability across the wavelength and that the variability of broadband reflectance is similar to that for the red band on both timescales. These results are mainly due to the rotation of the Earth on diurnal timescale and the change of the Earth’s tilt angle.
Nick Gorkavyi [Science Systems and Applications, Inc. (SSAI)] reported that EPIC – located at the L1 point, 1.5 million km (0.9 million mi) away from Earth – can capture images of the far side of the Moon in multiple wavelengths. These images, taken under full solar illumination, can be used to calibrate photographs obtained by lunar artificial satellites. Additionally, he discussed the impact of lunar libration – the changing view of the Moon from Earth, or it’s apparent “wobble” – on Earth observations from the Moon.
Jay Herman [UMBC] discussed a comparison of EPIC O3 with TEMPO satellite and Pandora ground-based measurement. The results show that total column O3 does not have a significant photochemical diurnal variation. Instead, the daily observed diurnal variation is caused by weather changes in atmospheric pressure. This measurement result agrees with model calculations.
Conclusion
Alexander Marshak, Jay Herman, and Adam Szabo led a closing discussion with ST participants on how to make the EPIC and NISTAR instruments more visible in the community. It was noted that the EPIC website now allows visitors to observe daily fluctuations of aerosol index, cloud fraction, cloud height, and the ocean surface – as observed from the L1 point. More daily products, (e.g., aerosol height and sunlit leaf area index) will be added soon, which should attract more users to the website.
Overall, the 2023 DSCOVR EPIC and NISTAR STM was successful. It provided an opportunity for participants to learn the status of DSCOVR’s Earth-observing instruments, EPIC and NISTAR, the status of recently released L2 data products, and the science results being achieved from the L1 point. As more people use DSCOVR data worldwide, the ST hopes to hear from users and team members at its next meeting. The latest updates from the mission can be found on the EPIC website.
Alexander Marshak
NASA’s Goddard Space Flight Center
alexander.marshak@nasa.gov
Adam Szabo
NASA’s Goddard Space Flight Center
adam.szabo@nasa.gov
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Last Updated Feb 14, 2025 Related Terms
Earth Science View the full article
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By NASA
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Preparations for Next Moonwalk Simulations Underway (and Underwater)
A team at JPL packed up three small Moon rovers, delivering them in February to the facility where they’ll be attached to a commercial lunar lander in preparation for launch. The rovers are part of a project called CADRE that could pave the way for potential future multirobot missions.. NASA/JPL-Caltech A trio of suitcase-size rovers and their base station have been carefully wrapped up and shipped off to join the lander that will deliver them to the Moon’s surface.
Three small NASA rovers that will explore the lunar surface as a team have been packed up and shipped from the agency’s Jet Propulsion Laboratory in Southern California, marking completion of the first leg of the robots’ journey to the Moon.
The rovers are part of a technology demonstration called CADRE (Cooperative Autonomous Distributed Robotic Exploration), which aims to show that a group of robots can collaborate to gather data without receiving direct commands from mission controllers on Earth. They’ll use their cameras and ground-penetrating radars to send back imagery of the lunar surface and subsurface while testing out the novel software that enables them to work together autonomously.
The CADRE rovers will launch to the Moon aboard IM-3, Intuitive Machines’ third lunar delivery, which has a mission window that extends into early 2026, as part of NASA’s CLPS (Commercial Lunar Payload Services) initiative. Once installed on Intuitive Machines’ Nova-C lander, they’ll head to the Reiner Gamma region on the western edge of the Moon’s near side, where the solar-powered, suitcase-size rovers will spend the daylight hours of a lunar day (the equivalent of about 14 days on Earth) carrying out experiments. The success of CADRE could pave the way for potential future missions with teams of autonomous robots supporting astronauts and spreading out to take simultaneous, distributed scientific measurements.
Members of a JPL team working on NASA’s CADRE technology demonstration use temporary red handles to move one of the project’s small Moon rovers to prepare it for transport to Intuitive Machines’ Houston facility, where it will be attached to the company’s third lunar lander. Construction of the CADRE hardware — along with a battery of rigorous tests to prove readiness for the journey through space — was completed in February 2024.
To get prepared for shipment to Intuitive Machines’ Houston facility, each rover was attached to its deployer system, which will lower it via tether from the lander onto the dusty lunar surface. Engineers flipped each rover-deployer pair over and attached it to an aluminum plate for safe transit. The rovers were then sealed in protective metal-frame enclosures that were fitted snuggly into metal shipping containers and loaded onto a truck. The hardware arrived safely on Sunday, Feb. 9.
“Our small team worked incredibly hard constructing these robots and putting them to the test, and we have been eagerly waiting for the moment where we finally see them on their way,” said Coleman Richdale, the team’s assembly, test, and launch operations lead at JPL. “We are all genuinely thrilled to be taking this next step in our journey to the Moon, and we can’t wait to see the lunar surface through CADRE’s eyes.”
The rovers, the base station, and a camera system that will monitor CADRE experiments on the Moon will be integrated with the lander — as will several other NASA payloads — in preparation for the launch of the IM-3 mission.
More About CADRE
A division of Caltech in Pasadena, California, JPL manages CADRE for the Game Changing Development program within NASA’s Space Technology Mission Directorate. The technology demonstration was selected under the agency’s Lunar Surface Innovation Initiative, which was established to expedite the development of technologies for sustained presence on the lunar surface. NASA’s Science Mission Directorate manages the CLPS initiative. The agency’s Glenn Research Center in Cleveland and its Ames Research Center in Silicon Valley, California, both supported the project. Motiv Space Systems designed and built key hardware elements at the company’s Pasadena facility. Clemson University in South Carolina contributed research in support of the project.
For more about CADRE, go to:
https://go.nasa.gov/cadre
News Media Contact
Melissa Pamer
Jet Propulsion Laboratory, Pasadena, Calif.
626-314-4928
melissa.pamer@jpl.nasa.gov
2025-018
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Last Updated Feb 11, 2025 Related Terms
CADRE (Cooperative Autonomous Distributed Robotic Exploration) Commercial Lunar Payload Services (CLPS) Earth's Moon Game Changing Development Program Jet Propulsion Laboratory Space Technology Mission Directorate Technology Technology Demonstration Explore More
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