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NASA-Supported Team Discovers Aurora-Like Radio Bursts Above Sunspot


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NASA-Supported Team Discovers Aurora-Like Radio Bursts Above Sunspot

A NASA-funded team of scientists has discovered long-lasting radio signals emanating from the Sun that are similar to those associated with auroras – northern and southern lights – on Earth.

Detected about 25,000 miles (40,000 km) above a sunspot – a relatively cool, dark, and magnetically active region on the Sun – such radio bursts had previously been observed only on planets and other stars.

“This sunspot radio emission represents the first detection of its kind,” said Sijie Yu of the New Jersey Institute of Technology, Newark, who is the lead author of a paper reporting the discovery in the January 2024 issue of Nature Astronomy. The research was first published online in November 2023.

In this illustration, a small portion of the Sun appears in yellow at the bottom with a dark sunspot in the center. Above the sunspot, against a black background, appear several vertical, curved streaks of light that are light pink at the bottom, closest to the sunspot and darken to dark pink in the middle then purple at the top. The streaks also appear thinner at the top than at the bottom.
Scientists have discovered radio bursts above a sunspot that resemble radio emissions from auroras on Earth. The pink-purple streaks in this illustration represent the radio emissions, with higher-frequency radio signals in pink, closer to the sunspot, and lower frequencies in purple. The thin lines represent magnetic field lines above the sunspot. The sunspot is the dark region on the Sun at the bottom.
Sijie Yu, New Jersey Institute of Technology

The discovery could help us better understand our own star as well as the behavior of distant stars that produce similar radio emissions.

The Sun often emits short radio bursts that last for minutes or hours. But the radio bursts Yu’s team detected, using the Karl G. Jansky Very Large Array in New Mexico, persisted for over a week.

These sunspot radio bursts also have other characteristics – such as their spectra (or intensity at different wavelengths) and their polarization (the angle or direction of the radio waves) – that are much more like radio emissions produced in the polar regions of Earth and other planets with auroras.

On Earth (and other planets such as Jupiter and Saturn), auroras shimmer in the night sky when solar particles are caught up in the planet’s magnetic field and get pulled toward the poles, where magnetic field lines converge. As they accelerate poleward, the particles generate intense radio emissions at frequencies around a few hundred kilohertz and then smash into atoms in the atmosphere, causing them to emit light as auroras.

The analysis by Yu’s team suggests the radio bursts above the sunspot are likely produced in a comparable way – when energetic electrons get trapped and accelerated by converging magnetic fields above a sunspot. Unlike Earth’s auroras, though, the radio bursts from sunspots occur at much higher frequencies – hundreds of thousands of kilohertz to roughly 1 million kilohertz. “That’s a direct result of the sunspot’s magnetic field being thousands of times stronger than Earth’s,” Yu said.

An image shows the Sun as an orange disk. In the upper left is a large sunspot with a few smaller sunspots to the left and right of it.
Scientists detected aurora-like radio bursts above the large, dark sunspot seen in the upper left in this image of the Sun taken on April 11, 2016, by NASA’s Solar Dynamics Observatory.
NASA/Solar Dynamics Observatory

Similar radio emissions have previously been observed from some types of low-mass stars as well. This discovery introduces the possibility that aurora-like radio emissions may originate from large spots on those stars (called “starspots”) in addition to the previously proposed auroras in their polar regions.

“The discovery excites us as it challenges existing notions of solar radio phenomena and opens new avenues for exploring magnetic activities both in our Sun and in distant stellar systems,” Yu said.

“NASA’s growing heliophysics fleet is well suited to continue to investigate the source regions of these radio bursts,” said Natchimuthuk Gopalswamy, a heliophysicist and solar radio researcher at NASA’s Goddard Space Flight Center. “For example, the Solar Dynamics Observatory continually monitors the Sun’s active regions, which likely give rise to this phenomenon.”

In the meantime, Yu’s team plans to reexamine other solar radio bursts to see whether any appear to be similar to the aurora-like radio bursts they found. “We aim to determine if some of the previously recorded solar bursts could be instances of this newly identified emission,” Yu said.

The research by Yu’s team has been supported in part by a NASA Early Career Investigator Program (ECIP) grant awarded to the New Jersey Institute of Technology.

By Vanessa Thomas
NASA’s Goddard Space Flight Center, Greenbelt, Md.

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      These three GEO AC missions, along with the upcoming ESA/EUMETSAT/Copernicus LEO (morning orbit, 9:30 a.m.) Sentinel-5 (S5) mission, will complete a LEO–GEO satellite constellation that will enable monitoring of the most industrialized and polluted regions in the Northern Hemisphere into the 2030s. Sentinel-5 will not continue the OMI–TROPOMI data record in the early afternoon; however, it will be placed in the morning orbit and follow ESA’s Global Ozone Monitoring Experiment (GOME) and EUMETSAT GOME-2 missions. By contrast, GEO AC observations over the Southern Hemisphere are currently not available. Several presenters described ongoing projects for capacity building for LEO satellite air quality data uptake and emission monitoring in Africa and advocated for the new geostationary measurements.
      Synergy with Other Current or Upcoming Missions
      Attendees discussed the synergy between upcoming AC, GHG, and ocean color missions. Current trends in satellite AC measurements are toward increased spatial resolution and combined observations of short-lived reactive trace gases – which are important for air quality (AQ) monitoring – and long-lived GHG – which are important for climate monitoring and carbon cycle assessments. Some trace gases (e.g., O3 and CH4) are both polluters and GHG agents. Others [e.g., NO2 and sulfur dioxide (SO2 )] are aerosol [particulate matter (PM)] and O3 precursors and are used as proxies and spatial indicators for anthropogenic CO2 and CH4 emissions.
      Yasjka Meijer [ESA—Copernicus Anthropogenic Carbon Dioxide Monitoring (CO2M) Mission Scientist]) reviewed the plans for CO2M, which includes high-resolution measurements [~4 km2 (~1.5 mi2)] of CO2 , CH4 , and NO2.
      Jochen Landgraf [SRON] described ESA’s new Twin Anthropogenic Greenhouse Gas Observers (TANGO) mission, which has the objective to measure CO2 , CH4 , and NO2 at even higher spatial resolution [~300 m (~984 ft)] using two small CubeSat spectrometers flying in formation.
      Hiroshi Tanimoto [National Institute for Environmental Studies, Japan] described the Japan Aerospace Exploration Agency’s (JAXA) Global Observing SATellite for greenhouse gases and water cycle (GOSAT-GW) mission, which includes the Total Anthropogenic and Natural Emission mapping SpectrOmeter (TANSO-3) spectrometer to simultaneously measure CO2 , CH4, and NO2 with ~1–3 km (~0.6–1.8 mi) spatial resolution in focus mode. GOSAT-GW will also fly the Advanced Microwave Scanning Radiometer 3 (AMSR3).
      Joanna Joiner [GSFC—Geostationary Extended Operations (GeoXO) Project Scientist and ACX Instrument Scientist] described the plans for the next-generation U.S. geosynchronous satellite constellation, which will consist of three satellites covering the full Earth disk: GEO-East, GEO-West, and GEO-Central. (By contrast, the current Geostationary Operational Environmental Satellite (GOES) series has two satellites: GOES–East and GOES–West.) GEO-Central will carry an advanced infrared sounder (GXS) for measuring vertical profiles of many trace gases, temperature and humidity, and a new UV-VIS spectrometer (ACX), which is a follow-on to TEMPO for AQ applications. Both GXS and ACX instruments will be built by BAE Systems, which acquired Ball Aerospace and Technology, and will also build the GeoXO ocean color spectrometer (OCX).
      Andrew Sayer [UMBC] described NASA’s Plankton, Aerosols, Clouds, and ocean Ecosystem (PACE), which launched on February 8, 2024. The PACE payload includes a high-spatial resolution [~1 km (~0.6 mi) at nadir] Ocean Color Instrument (OCI), which is a UV-Vis-NIR spectrometer with discrete SWIR bands presenting additional opportunities for synergistic observations with the AC constellation. Sayer presented OCI “first light” aerosol data processed using the unified retrieval algorithm developed by Lorraine Remer [UMBC].
      The second day concluded with a joint crossover session with NASA’s Health and Air Quality Applied Sciences Team (HAQAST) followed by a poster session. Several OMI–TROPOMI STM participants presented on a variety of topics that illustrate how OMI and TROPOMI data are being used to support numerous health and AQ applications. Duncan, who is also a member of HAQAST team, presented “20 years of health and air quality applications enabled by OMI data.” He highlighted OMI contributions to AQ and health applications, including NO2 trend monitoring, inferring trends of co-emitted species [e.g., CO2, CO, some Volatile Organic Compounds (VOCs)], validation of new satellite missions (e.g., TEMPO, PACE), and burden of disease studies.
      DAY THREE
      Discussions on the third day focused on advanced retrieval algorithms, leading to new products and new applications for OMI and TROPOMI data. Several presentations described applications of TROPOMI CH4 data and synergy with small satellites.
      Advanced Retrieval Algorithms and New Data Products
      Ilse Aben [SRON] described TROPOMI global detection of CH4 super-emitters using an automated system based on Machine Learning (ML) techniques – see Figure 6. Berend Schuit [SRON] provided additional detail on these methods. He introduced the TROPOMI CH4 web site to the meeting participants. He explained how TROPOMI global CH4 measurements use “tip-and-cue” dedicated satellites with much higher spatial resolution instruments [e.g., GHGSat with ~25-m (~82-ft) resolution] to scan for individual sources and estimate emission rates. Most CH4 super-emitters are related to urban areas and/or landfills, followed by plumes from gas and oil industries and coal mines.
      Figure 6. Methane plume map produced by SRON shows TROPOMI large CH4 emission plumes for the week of the OMI–TROPOMI meeting (June 3–6, 2024). Figure credit: Itse Aben/Stichting Ruimte Onderzoek Nederland (SRON) Alba Lorente [Environmental Defense Fund—Methane Scientist] introduced a new MethaneSAT satellite launched in March 2024, which aims to fill the gap in understanding CH4 emissions on a regional scale [200 x 200 km2 (~77 x 77 mi2)] from at least 80% of global oil and gas production, agriculture, and urban regions. Alex Bradley [University of Colorado, Boulder] described improvements to TROPOMI CH4 retrievals that were achieved by correcting seasonal effects of changing surface albedo.
      Daniel Jacob [Harvard University] presented several topics, including the highest resolution [~30 m (~98 ft)] NO2 plume retrievals from Landsat-8 – see Figure 7 – and Sentinel-2 imagers. He also discussed using a ML technique trained with TROPOMI data to improve NO2 retrievals from GEMS and modeling NO2 diurnal cycle and emission estimates. He introduced the ratio of ammonia (NH3) to NO2 (NH3/NO2) as an indicator of particulate matter with diameters less than 2.5 µm (PM2.5) nitrate sensitivity regime. Jacob emphasized the challenges related to satellite NO2 retrievals (e.g., accounting for a free-tropospheric NO2 background and aerosols).
      Figure 7. Landsat Optical Land Imager (OLI) image, obtained on October 17, 2021 over Saudi Arabia, shows power plant exhaust, which contains nitrogen dioxide (NO2) drifting downwind from the sources (the two green circles are the stacks). The ultra-blue channel (430–450 nm) on OLI enables quantitative detection of NO2 in plumes from large point sources at 30-m (~98-ft) resolution. This provides a unique ability for monitoring point-source emissions of oxides of nitrogen (NOx). The two stacks in the image are separated by 2 km (~1.2 mi). Figure credit: Daniel Jacob – repurposed from a 2024 publication in Proceedings of the National Academies of Sciences (PNAS) Steffen Beirle [Max Planck Institute for Chemistry, Germany] explained his work to fit TROPOMI NO2 column measurements to investigate nitric oxide (NO) to NO2 processing in power plant plumes. Debra Griffin [Environment and Climate Change Canada (ECCC)] used TROPOMI NO2 observations and ML random forest technique to estimate NO2 surface concentrations. Sara Martinez-Alonso [NCAR] investigated geographical and seasonal variations in NO2 diurnal cycle using GEMS and TEMPO data.  Ziemkecombined satellite O3 data to confirm a persistent low anomaly (~5–15%) in tropospheric O3 after 2020.  Jethva presented advanced OMI and TROPOMI absorbing aerosol products. Yu described improved OMI and TROPOMI cloud datasets using the O2-O2 absorption band at 477 nm. Nicholas Parazoo [Jet Propulsion Laboratory (JPL)] described TROPOMI Fraunhofer line retrievals of red solar-induced chlorophyll fluorescence (SIF) near O2-B band (663–685 nm) to improve mapping of ocean primary productivity. Liyin He [Duke University] described using satellite terrestrial SIF data to study the effect of particulate pollution on ecosystem productivity.
      New Applications
      Zachary Fasnacht [SSAI] used OMI and TROPOMI spectra to train a neural network to gap-fill MODIS and Visible Infrared Imaging Radiometer Suite (VIIRS) ocean color data under aerosol, sun glint, and partly cloudy conditions. This ML method can also be applied to PACE OCI spectra. Anu-Maija Sundström [Finnish Meteorological Institute (FMI)] used OMI and TROPOMI SO2 and O3 data as proxies to study new particle formation events. Lindsey Anderson [University of Colorado, Boulder] described how she used TROPOMI NO2 and CO measurements to estimate the composition of wildfire emissions and their effect on forecasted air quality. Heesung Chong [SAO] applied OMI bromine oxide (BrO) retrievals to the NOAA operational Ozone Mapping and Profiling Suite Nadir Mapper (OMPS-NM) on joint NOAA–NASA Suomi-National Polar-orbiting Partnership (Suomi NPP) satellite with the possibility to continue afternoon measurements using similar OMPS-NM instruments on the four Joint Polar Satellite System missions (JPSS-1,-2,-3,-4) into the 2030s. (JPSS-1 and -2 are now in orbit and known as NOAA-20 and -21 respectively; JPSS-4 is planned for launch in 2027, with JPSS-3 currently targeted for 2032.)
      Kim demonstrated the potential for using satellite NO2 and SO2 emissions as a window into socioeconomic issues that are not apparent by other methods. For example, she showed how OMI and TROPOMI data were widely used to monitor air quality improvements in the aftermath of COVID-19 lockdowns. (Brad Fisher [SSAI] presented a poster on a similar topic.)
      Cathy Clerbaux [Center National d’Études Spatiale (CNES), or French Space Agency] showed how her team used TROPOMI NO2 data to trace the signal emitted by ships and used this information to determine how the shipping lanes through the Suez Canal changed in response to unrest in the Middle East. Iolanda Ialongo [FMI] showed a similar drop of NO2 emissions over Donetsk region due to the war in Ukraine. Levelt showed how OMI and TROPOMI NO2 data are used for capacity-building projects and for air quality reporting in Africa. She also advocated for additional geostationary AQ measurements over Africa.
      DAY FOUR
      Discussions on the final day focused on various methods of assimilating satellite data into air quality models for emission inversions and aircraft TEMPO validation campaigns. The meeting ended with Levelt giving her unique perspective on the OMI mission, as she reflected on more than two decades being involved with the development, launch, operation, and maintenance of OMI.  
      Assimilating Satellite Data into Models for Emissions
      Brian McDonald [CSL] described advance chemical data assimilation of satellite data for emission inversions and the GReenhouse gas And Air Pollutants Emissions System (GRA2PES). He showed examples of assimilations using TROPOMI and TEMPO NO2 observations to adjust a priori emissions. He also showed that when TEMPO data are assimilated, NOx emissions adjust faster and tend to perform better at the urban scale. Adrian Jost [Max Planck Institute for Chemistry] described the ESA-funded World Emission project to improve pollutant and GHG emission inventories using satellite data. He showed examples of TROPOMI SO2 emissions from large-point sources and compared the data with bottom-up and NASA SO2 emissions catalogue.
      Ivar van der Velde [SRON] presented a method to evaluate fire emissions using new satellite imagery of burned area and TROPOMI CO. Helene Peiro [SRON] described her work to combine TROPOMI CO and burned area information to compare the impact of prescribed fires versus wildfires on air quality in the U.S. She concluded that prescribed burning reduces CO pollution. Barbara Dix [University of Colorado, Boulder, Cooperative Institute for Research in Environmental Sciences] derived NOx emissions from U.S. oil and natural gas production using TROPOMI NO2 data and flux divergence method. She estimated TROPOMI CH4 emissions from Denver–Julesburg oil and natural gas production. Dix explained that the remaining challenge is to separate oil and gas emissions from other co-located CH4 sources. Ben Gaubert [NCAR, Atmospheric Chemistry Observations and Modeling] described nonlinear and non-Gaussian ensemble assimilation of MOPITT CO using the data assimilation research testbed (DART).
      Andrew (Drew) Rollings [CSL] presented first TEMPO validation results from airborne field campaigns in 2023 (AGES+ ), including NOAA CSL Atmospheric Emissions and Reactions observed from Megacities to Marine Aeras (AEROMMA) and NASA’s Synergistic TEMPO Air Quality Science (STAQS) campaigns.
      A Reflection on Twenty Years of OMI Observations
      Levelt gave a closing presentation in which she reflected on her first involvement with the OMI mission as a young scientist back in 1998. This led to a collaboration with the international ST to develop the instrument, which was included as part of Aura’s payload when it launched in July 2004. She reminisced about important highlights from 2 decades of OMI, e.g., the 10-year anniversary STM at KNMI in 2014 (see “Celebrating Ten Years of OMI Observations,” The Earth Observer, May–Jun 2014, 26:3, 23–30), and the OMI ST receiving the NASA/U.S. Geological Survey Pecora award in 2018 and the American Meteorological Society’s Special award in 2021.
      Levelt pointed out that in this combined OMI–TROPOMI meeting the movement towards using air pollution and GHG data together became apparent. She ended by saying that the OMI instrument continues to “age gracefully” and its legacy continues with the TROPOMI and LEO–GEO atmospheric composition constellation of satellites that were discussed during the meeting.
      Conclusion
      Overall, the second OMI–TROPOMI STM acknowledged OMI’s pioneering role and TROPOMI’s unique enhancements in measurements of atmospheric composition: 
      Ozone Layer Monitoring: Over the past two decades, OMI has provided invaluable data on the concentration and distribution of O3 in the Earth’s stratosphere. This data has been crucial for understanding and monitoring the recovery of the O3 layer following international agreements, such as the Montreal Protocol. Air Quality Assessment: OMI’s high-resolution measurements of air pollutants, such as NO2, SO2, and HCHO, have significantly advanced our understanding of air quality. This information has been vital for tracking pollution sources, studying their transport and transformation, and assessing their impact on human health and the environment. Climate Research: The data collected by OMI has enhanced our knowledge of the interactions between atmospheric chemistry and climate change. These insights have been instrumental in refining climate models and improving our predictions of future climate scenarios. Global Impact: The OMI instrument has provided near-daily global coverage of atmospheric data, which has been essential for scientists and policymakers worldwide. The comprehensive and reliable data from OMI has supported countless research projects and informed decisions aimed at protecting and improving our environment. OMI remains one of the most stable UV/Vis instruments over its two decades of science and trend quality data collection. The success of the OMI and TROPOMI instruments is a testament to the collaboration, expertise, and dedication of both teams.
      Nickolay Krotkov
      NASA’s Goddard Space Flight Center
      Nickolay.a.krotkov@nasa.gov
      Pieternel Levelt
      National Center for Atmospheric Research, Atmospheric Chemistry Observations & Modeling
      levelt@ucar.edu
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      Details
      Last Updated Nov 12, 2024 Related Terms
      Earth Science View the full article
    • By NASA
      Curiosity Navigation Curiosity Home Mission Overview Where is Curiosity? Mission Updates Science Overview Instruments Highlights Exploration Goals News and Features Multimedia Curiosity Raw Images Images Videos Audio Mosaics More Resources Mars Missions Mars Sample Return Mars Perseverance Rover Mars Curiosity Rover MAVEN Mars Reconnaissance Orbiter Mars Odyssey More Mars Missions The Solar System The Sun Mercury Venus Earth The Moon Mars Jupiter Saturn Uranus Neptune Pluto & Dwarf Planets Asteroids, Comets & Meteors The Kuiper Belt The Oort Cloud 2 min read
      Sols 4350-4351: A Whole Team Effort
      NASA’s Mars rover Curiosity acquired this image using its Right Navigation Camera on sol 4348 — Martian day 4,348 of the Mars Science Laboratory mission — on Oct. 29, 2024, at 14:20:08 UTC. NASA/JPL-Caltech Earth planning date: Wednesday, Oct. 30, 2024
      Just like you and me, the Curiosity rover has a few idiosyncratic tendencies — special ways that the rover behaves that we, the team on Earth, have come to understand to be harmless but still throw a curveball to our planning. 
      Unfortunately, the set of activities that were planned to execute on Monday behaved in one of these special ways — leaving the rover’s arm down on the ground without completing the planned set of activities, including the remainder of our contact science, remote sensing, or drive. 
      When this happens the whole team gets together to review the information Curiosity sends to us, and we ensure as a team that we understand the quirky way the rover acted and that we are good to proceed. While not ideal for keeping up with our scientific cadence, I appreciate these moments because they remind me of all the experts we have evaluating the rover’s health and safety day in and day out.
      So for today’s plan — we completed the contact science observations of “Reds Meadow” that had been planned on Monday and picked up a second suite of contact science measurements of “Ladder Lake.” Both of these are bedrock targets and the APXS and MAHLI observations we make will continue our characterization of changes in bedrock composition and morphology in this area. We also repeated the remote sensing observations planned on Monday that did not execute.
      With a fresh set of Rover Planner eyes, we reassessed if the drive planned on Monday was still the best we could do and, impressively, today’s RP agreed. So the drive remains the same, making excellent progress toward our next imaging waypoint.
      The remainder of the plan contained our usual atmospheric measurements!
      We’ll see what Friday holds!
      Written by Elena Amador-French, Science Operations Coordinator at NASA’s Jet Propulsion Laboratory
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      Earlier this year, the agency commissioned design studies from the NASA community and eight selected industry teams on how to return Martian samples to Earth in the 2030s while lowering the cost, risk, and mission complexity. The new strategy review team will assess 11 studies conducted by industry, a team across NASA centers, the agency’s Jet Propulsion Laboratory in Southern California, and the Johns Hopkins Applied Physics Laboratory. The team will recommend to NASA a primary architecture for the campaign, including associated cost and schedule estimates.
      “Mars Sample Return will require a diversity of opinions and ideas to do something we’ve never done before: launch a rocket off another planet and safely return samples to Earth from more than 33 million miles away,” said NASA Administrator Bill Nelson. “It is critical that Mars Sample Return is done in a cost-effective and efficient way, and we look forward to learning the recommendations from the strategy review team to achieve our goals for the benefit of humanity.”
      Returning samples from Mars has been a major long-term goal of international planetary exploration for more than three decades, and the Mars Sample Return Program is jointly planned with ESA (European Space Agency). NASA’s Perseverance rover is collecting compelling science samples that will help scientists understand the geological history of Mars, the evolution of its climate, and potential hazards for future human explorers. Retrieval of the samples also will help NASA’s search for signs of ancient life.
      The team’s report is anticipated by the end of 2024 and will examine options for a complete mission design, which may be a composite of multiple studied design elements. The team will not recommend specific acquisition strategies or partners. The strategy review team has been chartered under a task to the Cornell Technical Services contract. The team may request input from a NASA analysis team that consists of government employees and expert consultants. The analysis team also will provide programmatic input such as a cost and schedule assessment of the architecture recommended by the strategy review team.
      The Mars Sample Return Strategy Review Team is led by Jim Bridenstine, former NASA administrator, and includes the following members:
      Greg Robinson, former program director, James Webb Space Telescope Lisa Pratt, former planetary protection officer, NASA Steve Battel, president, Battel Engineering; Professor of Practice, University of Michigan, Ann Arbor Phil Christensen, regents professor, School of Earth and Space Exploration, Arizona State University, Tempe Eric Evans, director emeritus and fellow, MIT Lincoln Lab Jack Mustard, professor of Earth, Environmental, and Planetary Science, Brown University Maria Zuber, E. A. Griswold professor of Geophysics and presidential advisor for science and technology policy, MIT The NASA Analysis Team is led by David Mitchell, chief program management officer at NASA Headquarters, and includes the following members:
      John Aitchison, program business manager (acting), Mars Sample Return Brian Corb, program control/schedule analyst, NASA Headquarters Steve Creech, assistant deputy associate administrator for Technical, Moon to Mars Program Office, NASA Headquarters Mark Jacobs, senior systems engineer, NASA Headquarters Rob Manning, chief engineer emeritus, NASA JPL Mike Menzel, senior engineer, NASA Goddard Fernando Pellerano, senior advisor for Systems Engineering, NASA Goddard Ruth Siboni, chief of staff, Moon to Mars Program Office, NASA Headquarters Bryan Smith, director of Facilities, Test and Manufacturing, NASA Glenn Ellen Stofan, under secretary for Science and Research, Smithsonian For more information on NASA’s Mars Sample Return, visit:
      https://science.nasa.gov/mission/mars-sample-return

      Dewayne Washington
      Headquarters, Washington
      202-358-1100
      dewayne.a.washington@nasa.gov 
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