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Sketch the Shape of the Sun for Science During the Solar Eclipse


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Sketch the Shape of the Sun for Science During the Solar Eclipse

Calling all eclipse admirers!

The SunSketcher team is looking for one million volunteers to capture photos on their cell phones during the April 8 total solar eclipse. These images will help scientists learn about the size, shape, and inner structure of the Sun.

This NASA-funded citizen science project invites anyone who will be within the path of totality in the U.S. to take photos of the Baily’s Beads effect, which occurs when little points of sunlight pass through the valleys in between the mountains on the edge of the Moon. It’s the last piece of the Sun seen before totality and the first to appear after totality. For a few seconds, these glimmers of light look like beads along the Moon’s edge.

Sunlight passes through the Moon’s rugged terrain creating the Baily’s Beads effect during the total solar eclipse Aug. 21, 2017
The Baily’s Beads effect is seen as the Moon makes its final move over the Sun during the total solar eclipse on Aug. 21, 2017, above Madras, Oregon. This effect occurs when gaps in the Moon’s rugged terrain allow sunlight to pass through in some places just before the total phase of the eclipse.
NASA/Aubrey Gemignani

The SunSketcher app will use smartphones to automatically take a sequence of images as Baily’s Beads appear. Volunteers will simply download a free app, activate it just before totality, set the phone down with the rear camera pointed at the Sun, and leave it alone. The app will use the phone’s GPS location to calculate when Baily’s Beads will be visible.

“All you need is a cell phone,” says Gordon Emslie, SunSketcher’s project lead and professor of physics and astronomy at Western Kentucky University. “How many science projects can you do with the equipment you already have in your pocket?”

Emslie says the cell phone images of Baily’s Beads will look fairly simple, but the tiny dots of light will provide crucial data about our star.

“It’s the precise timing of when these flashes appear and disappear that can tell you how big the Sun is and what shape it is,” Emslie says.

The rear camera of a cell phone faces towards a solar eclipse.
Citizen scientists will activate the Sunsketcher app before the eclipse and then prop their phone against a steady surface with the rear (back-facing) camera pointed at the Sun. The app will automatically take images of Baily’s Beads at the correct times.
SunSketcher/Tabby Cline

The SunSketcher team will merge the images collected from various viewpoints on the eclipse path to create an evolving pattern of beads. This pattern will be compared with 3D maps that show the exact locations and distances between lunar craters, mountains, and valleys on the surface of the Moon from NASA’s Lunar Reconnaissance Orbiter. The combined measurements will allow researchers to calculate the precise size and shape of the Sun based on the timing of the images captured over 90 minutes of eclipse observations.

“The fascinating thing about this is you can really only do this by having observers stretched over the whole eclipse path,” Emslie explains. “No one observer can monitor an eclipse for more than about four or five minutes.”

The Sun is round but not a perfect sphere. It bulges out slightly along the equator with a diameter of about 865,000 miles. Scientists suspect the shape of the Sun changes slightly as it goes through 11-year cycles of fluctuating solar activity. The Sun is a rotating ball of gas and plasma with complicated internal flows of material, energy, and magnetic fields beneath the surface that vary over that cycle and impact its overall shape.

“All of these flows connect to the surface somehow, and so the shape of the surface is determined by the details of the flows,” Emslie says. “If we can understand the subsurface flows, we can better understand the Sun’s internal structure.”

The Sun’s shape also determines its gravitational field, which affects the motions of the planets, so measuring the Sun’s precise shape will help scientists test theories of gravity.

A map of the contiguous U.S. shows the path of the 2024 total solar eclipse stretching on a narrow band from Texas to Maine.
This map shows the path of totality and partial contours crossing the U.S. for the 2024 total solar eclipse occurring on April 8, 2024.
NASA/Scientific Visualization Studio/Michala Garrison; Eclipse Calculations By Ernie Wright, NASA Goddard Space Flight Center

Participants in the SunSketcher project can be located anywhere in the eclipse’s path of totality in the U.S., which stretches from Texas to Maine, on April 8. Emslie says the more people involved, the more worthwhile the project will be. “Literally, we’re looking for a million people to play.”

For more info on SunSketcher, visit: https://sunsketcher.org/

How to Become a SunSketcher and Be a Part of History 

This animated tutorial from the SunSketcher team explains how volunteers can capture images during the total solar eclipse using a free cell phone app to help learn about the size, shape, and inner structure of the Sun.
Animation credit: SunSketcher/Tabby Cline

Before the Eclipse

  • Download the free app from your phone’s app store (available now on iOS and coming soon on Android).
  • Initiate the app around five minutes before totality. No internet connection is required.
  • If possible, turn on “Do Not Disturb” in your phone’s settings to prevent vibrations that could disturb the image sequence.
  • Prop the phone against a steady surface (such as a rock, book, phone stand, or tripod) with the rear (back-facing) camera pointed at the Sun.
  • Let it be! The app will automatically take images of Baily’s Beads at the correct times.
  • Enjoy the eclipse! Remember to use specialized eye protection for solar viewing except during the brief total phase of a total solar eclipse, when the Moon completely blocks the Sun.

After the Eclipse

  • The app will show a directory of images taken and will request user permission to share them. Only time and location data will be recorded with the images. No personally identifiable or private information will be collected.
  • Once an internet connection is established, the images will be automatically uploaded to a central server and a screen will appear with a thank-you message.

By Rose Brunning
Communications Lead, NASA Heliophysics Digital Resource Library (HDRL)

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Last Updated
Mar 19, 2024

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      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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    • By NASA
      Researchers demonstrated the feasibility of 3D bioprinting a meniscus or knee cartilage tissue in microgravity. This successful result advances technology for bioprinting tissue to treat musculoskeletal injuries on long-term spaceflight or in extraterrestrial settings where resources and supply capacities are limited.

      BFF Meniscus-2 evaluated using the BioFabrication Facility to 3D print knee cartilage tissue using bioinks and cells. The meniscus is the first engineered tissue of an anatomically relevant shape printed on the station. Manufactured human tissues have potential as alternatives to donor organs, which are in short supply. Bioprinting in microgravity overcomes some of the challenges present in Earth’s gravity, such as deformation or collapse of tissue structures.
      A human knee meniscus 3D bioprinted in space using the International Space Station’s BioFabrication Facility.Redwire Complex cultures of central nervous system cells known as brain organoids can be maintained in microgravity for long periods of time and show faster development of neurons than cultures on Earth. These findings could help researchers develop treatments for neurodegenerative diseases on Earth and address potential adverse neurological effects of spaceflight.

      Cosmic Brain Organoids examined growth and gene expression in 3D organoids created with neural stem cells from individuals with primary progressive multiple sclerosis and Parkinson’s disease. Results could improve understanding of these neurological diseases and support development of new treatments. Researchers plan additional studies on the underlying causes of the accelerated neuron maturation.
      Neural growth in brain organoids that spent more than a month in space. Jeanne Frances Loring, National Stem Cell Foundation Researchers demonstrated that induced pluripotent stem cells (iPSCs) can be processed in microgravity using off the-shelf cell culture materials. Using standard laboratory equipment and protocols could reduce costs and make space-based biomedical research accessible to a broader range of scientists and institutions.

      Stellar Stem Cells Ax-2 evaluated how microgravity affects methods used to generate and grow stem cells into a variety of tissue types on the ground. iPSCs can give rise to any type of cell or tissue in the human body, and insight into processing in space could support their use in regenerative medicine and future large-scale biomanufacturing of cellular therapeutics in space.
      NASA astronaut Peggy Whitson, an Axiom Mission 2 crew member, works on stem cell research on a previous mission. NASA/Shane KimbroughView the full article
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    • By NASA
      Learn Home Integrating Relevant Science… Earth Science Overview Learning Resources Science Activation Teams SME Map Opportunities More Science Activation Stories Citizen Science   3 min read
      Integrating Relevant Science Investigations into Migrant Children Education
      For three weeks in August, over 100 migrant children (ages 3-15) got to engage in hands-on activities involving blueberries, pollinators, and eDNA as part of their time with The Blueberry Harvest School (BHS). BHS is a summer school program for migrant children whose families work in Washington County, Maine during the wild blueberry harvest season. The program is hosted by Mano en Mano in Milbridge, Maine. This summer, University of Maine 4-H (part of the NASA Science Activation Program’s Learning Ecosystems Northeast team) was invited to deliver enrichment programs during the school day alongside a seasoned BHS employee – an educator from the Mi’kmaq community in what is now known as Nova Scotia.
      The goal of BHS is to meet the needs of youth by providing “culturally responsive, project-based learning while preventing summer learning loss and compensating for school disruptions among students” (Mano en Mano). Migrant families come to Downeast from Mi’kmaq First Nation communities in Nova Scotia and New Brunswick, southern states, and from within Maine, including Passamoquoddy communities in eastern Washington County and a Latino community in the western part of the county. Families stay to harvest blueberries anywhere from two to five weeks. With support from 4-H educators, youth surveyed the schoolyard for pollinators, investigated the parts of pollinators and flowers, and learned why blueberries are an important part of Wabanaki culture.
      “BHS really becomes a home for the children while they are here. I think one of the reasons is because they are encouraged to be proud of their identity and who they are – they get to be their authentic selves. It’s a neat space where teachers and youth are speaking Mi’kmaq, Passamaquoddy, Spanish and English while supporting each other, and learning and experiencing new things.” — Gabrielle Brodek, 4-H Professional
      “After completing my second year helping at Blueberry Harvest School, I loved seeing the returning faces of the kids who have been coming year after year – the kids remember you and hug you and are sad when the season is over and BHS ends.” — Jason Palomo, 4-H Professional
      Resources and inspiration for these activities came from NASA Climate Kids, Gulf of Maine Research Institute’s Bees, Blueberries, and Climate Change learning module, National 4-H and ME Ag in the Classroom. On the last day youth experienced how to make a natural dye out of blueberries, a long-standing tradition in Native American culture. Our organizations continue to work together year-round, building stronger relationships and planning for Summer 2025!
      The Learning Ecosystems Northeast project is supported by NASA under cooperative agreement award number NNX16AB94A and is part of NASA’s Science Activation Portfolio. Learn more about how Science Activation connects NASA science experts, real content, and experiences with community leaders to do science in ways that activate minds and promote deeper understanding of our world and beyond: https://science.nasa.gov/learn
      Educator assisting two youth with paper folding instructions. Share








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