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    • By NASA
      “I do evolutionary programming,” said NASA Goddard oceanographer Dr. John Moisan. “I see a lot of possibility in using evolutionary programming to solve many large problems we are trying to solve. How did life start and evolve? Can these processes be used to evolve intelligence or sentience?”Courtesy of John Moisan Name: John Moisan
      Formal Job Classification: Research oceanographer
      Organization: Ocean Ecology Laboratory, Hydrosphere, Biosphere, Geophysics (HBG), Earth Science Directorate (Code 616) – duty station at NASA’s Wallops Flight Facility on Virginia’s Eastern Shore
      What do you do and what is most interesting about your role here at Goddard? How do you help support Goddard’s mission?
      I develop ecosystem models and satellite algorithms to understand how the ocean’s ecology works. My work has evolved over time from when I coded ocean ecosystem models to the present where I now use artificial intelligence to evolve the ocean ecosystem models.
      How did you become an oceanographer?
      As a child, I watched a TV series called “Sea Hunt,” which involved looking for treasure in the ocean. It inspired me to want to spend my life scuba diving.
      I got a Bachelor of Science in marine biology from the University of New England in Biddeford, Maine, and later got a Ph.D. from the Center for Coastal Physical Oceanography at Old Dominion University in Norfolk, Virginia.
      Initially, I just wanted to do marine biology which to me meant doing lots of scuba diving, maybe living on a sailboat. Later, when I was starting my graduate schoolwork, I found a book about mathematical biology and a great professor who helped open my eyes to the world of numerical modeling. I found out that instead of scuba diving, I needed instead to spend my days behind a computer, learning how to craft ideas into equations and then code these into a computer to run simulations on ocean ecosystems.
      I put myself through my initial education. I went to school fulltime, but I lived at home and hitchhiked to college on a daily basis. When I started my graduate school, I worked to support myself. I was in school during the normal work week, but from Friday evening through Sunday night, I worked 40 hours at a medical center cleaning and sterilizing the operating room instrument carts. This was during the height of the AIDS epidemic.
      What was most exciting about your two field trips to the Antarctic?
      In 1987, I joined a six-week research expedition to an Antarctic research station to explore how the ozone hole was impacting phytoplankton. These are single-celled algae that are responsible for making half the oxygen we breathe. Traveling to Antarctica is like visiting another planet. There are more types of blue than I’ve ever seen. It is an amazingly beautiful place to visit, with wild landscapes, glaciers, mountains, sea ice, and a wide range of wildlife. After my first trip I returned home and went back in a few months later as a biologist on a joint Polish–U.S. (National Oceanic and Atmospheric Administration) expedition to carry out a biological survey and measure how much fast the phytoplankton was growing in different areas of the Southern Ocean. We used nets to measure the amounts of fish and shrimp and took water samples to measure salinity, the amount of algae and their growth rates. We ate well, for example the Polish cook made up a large batch of smoked ice fish.
      What other field work have you done?
      While a graduate student, I helped do some benthic work in the Gulf of Maine. This study was focused on understanding the rates of respiration in the muds on the bottom of the ocean and on understanding how much biomass was in the muds. The project lowered a benthic grab device to the bottom where it would push a box core device into the sediments to return it to the surface. This process is sort of like doing a biopsy of the ocean bottom.
      What is your goal as a research oceanographer at Goddard?
      Ocean scientists measure the amount and variability of chlorophyll a, a pigment in algae, in the ocean because it is an analogue to the amount of algae or phytoplankton in the ocean. Chlorophyll a is used to capture solar energy to make sugars, which the algae use for growth. Generally, areas of the ocean that have more chlorophyll are also areas where growth or primary production is higher. So, by estimating how much chlorophyll is in the ocean we can study how these processes are changing with an aim in understanding why. NASA uses the color of the ocean using satellites to estimate chlorophyll a because chlorophyll absorbs sunlight and changes the color of the ocean. Algae have other kinds of pigments, each of which absorbs light at different wavelengths. Because different groups of algae have different levels of pigments, they are like fingerprints that can reveal the type of algae in the water. Some of my research aims at trying to use artificial intelligence and mathematical techniques to create new ways to measure these pigments from space to understand how ocean ecosystems change.
      In 2024, NASA plans to launch the Plankton, Aerosol, Cloud, ocean Ecosystem (PACE) satellite, which will measure the color of the ocean at many different wavelengths. The data from this satellite can be used with results from my work on genetic programs and inverse modeling to estimate concentrations of different pigments and possibly concentrations of different types of algae in the ocean.
      You have been at Goddard over 22 years. What is most memorable to you?
      I develop ecosystem models. But ecosystems do not have laws in the same way that physics has laws. Equations need to be created so that the ecosystem models represent what is observed in the real world. Satellites have been a great source for those observations, but without a lot of other types of observations that are collected in the field, the ocean, it is difficult to develop these equations. In my time at NASA, I have only been able to develop models because of the great but often tedious work that ocean scientists around the world have been doing when they go on ocean expeditions to measure various ocean features, be it simple temperature or the more complicated measurements of algal growth rates. My experience with their willingness to collaborate and share data is especially memorable. This experience is also what I enjoyed with numerous scientists at NASA who have always been willing to support new ideas and point me in the right direction. It has made working at NASA a phenomenal experience.
      What are the philosophical implications of your work?
      The human capacity to think rapidly, to test and change our opinions based on what we learn, is slow compared to that of a computer. Computers can help us adapt more quickly. I can put 1,000 students in a room developing ecosystem model models. But I know that this process of developing ecosystem models is slow when compared what a computer can do using an artificial intelligence approach called genetic programming, it is a much faster way to generate ecosystem model solutions.
      Philosophically, there is no real ecosystem model that is the best. Life and ecosystems on Earth change and adapt at rates too fast for any present-day model to resolve, especially considering climate change. The only real ecosystem model is the reality itself. No computer model can perfectly simulate ecosystems. By utilizing the fast adaptability that evolutionary computer modeling techniques provide, simulating and ultimately predicting ecosystems can be improved greatly.
      How does your work have implications for scientists in general?
      I do evolutionary programming. I see a lot of possibility in using evolutionary programming to solve many large problems we are trying to solve. How did life start and evolve? Can these processes be used to evolve intelligence or sentience?
      The artificial intelligence (AI) work answers questions, but you need to identify the questions. This is the greater problem when it comes to working with AI. You cannot answer the question of how to create a sentient life if you do not know how to define it. If I cannot measure life, how can I model it? I do not know how to write that equation. How does life evolve? How did the evolutionary process start? These are big questions I enjoy discussing with friends. It can be as frustrating as contemplating “nothing.”
      Who inspires you?
      Many of the scientists that I was fortunate to work with at various research institutes, such as Scripps Institution of Oceanography at the University of California, San Diego. These are groups of scientists are open to always willing to share their ideas. These are individuals who enjoy doing science. I will always be indebted to them for their kindness in sharing of ideas and data.
      Do you still scuba dive?
      Yes, I wish I could dive daily, it is a very calming experience. I’m trying to get my kids to join me.
      What else do you do for fun?
      My wife and I bike and travel. Our next big bike trip will hopefully be to Shangri-La City in China. I also enjoy sailing and trying to grow tropical plants. But, most of all, I enjoy helping raise my children to be resilient, empathic, and intelligent beings.
      What are your words to live by?
      Life. So much to see. So little time.
      Conversations With Goddard is a collection of question and answer profiles highlighting the breadth and depth of NASA’s Goddard Space Flight Center’s talented and diverse workforce. The Conversations have been published twice a month on average since May 2011. Read past editions on Goddard’s “Our People” webpage. Conversations With Goddard is a collection of Q&A profiles highlighting the breadth and depth of NASA’s Goddard Space Flight Center’s talented and diverse workforce. The Conversations have been published twice a month on average since May 2011. Read past editions on Goddard’s “Our People” webpage.
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      Last Updated Feb 10, 2025 EditorJessica EvansContactRob Garnerrob.garner@nasa.gov Related Terms
      Goddard Space Flight Center Artificial Intelligence (AI) People of Goddard Wallops Flight Facility Keep Exploring Discover More Topics From NASA
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    • By Space Force
      The DAF released guidance on defending women from gender ideology extremism and restoring biological truth to the federal government.
      View the full article
    • By NASA
      Webb Webb News Latest News Latest Images Blog (offsite) Awards X (offsite – login reqd) Instagram (offsite – login reqd) Facebook (offsite- login reqd) Youtube (offsite) Overview About Who is James Webb? Fact Sheet Impacts+Benefits FAQ Science Overview and Goals Early Universe Galaxies Over Time Star Lifecycle Other Worlds Observatory Overview Launch Orbit Mirrors Sunshield Instrument: NIRCam Instrument: MIRI Instrument: NIRSpec Instrument: FGS/NIRISS Optical Telescope Element Backplane Spacecraft Bus Instrument Module Multimedia About Webb Images Images Videos What is Webb Observing? 3d Webb in 3d Solar System Podcasts Webb Image Sonifications Team International Team People Of Webb More For the Media For Scientists For Educators For Fun/Learning 6 Min Read Webb Watches Carbon-Rich Dust Shells Form, Expand in Star System
      A portion of Webb’s 2023 observation of Wolf-Rayet 140. Credits:
      Image: NASA, ESA, CSA, STScI; Science: Emma Lieb (University of Denver), Ryan Lau (NSF NOIRLab), Jennifer Hoffman (University of Denver) Astronomers have long tried to track down how elements like carbon, which is essential for life, become widely distributed across the universe. Now, NASA’s James Webb Space Telescope has examined one ongoing source of carbon-rich dust in our own Milky Way galaxy in greater detail: Wolf-Rayet 140, a system of two massive stars that follow a tight, elongated orbit.
      As they swing past one another (within the central white dot in the Webb images), the stellar winds from each star slam together, the material compresses, and carbon-rich dust forms. Webb’s latest observations show 17 dust shells shining in mid-infrared light that are expanding at regular intervals into the surrounding space.
      Image A: Compare Observations of Wolf-Rayet 140 (MIRI Images)
      Two mid-infrared images from NASA’s James Webb Space Telescope of Wolf-Rayet 140 show carbon-rich dust moving in space. At right, the two triangles from the main images are matched up to show how much difference 14 months makes: The dust is racing away from the central stars at almost 1% the speed of light. These stars are 5,000 light-years away in our own Milky Way galaxy. Image: NASA, ESA, CSA, STScI; Science: Emma Lieb (University of Denver), Ryan Lau (NSF NOIRLab), Jennifer Hoffman (University of Denver) “The telescope not only confirmed that these dust shells are real, its data also showed that the dust shells are moving outward at consistent velocities, revealing visible changes over incredibly short periods of time,” said Emma Lieb, the lead author of the new paper and a doctoral student at the University of Denver in Colorado.
      Every shell is racing away from the stars at more than 1,600 miles per second (2,600 kilometers per second), almost 1% the speed of light. “We are used to thinking about events in space taking place slowly, over millions or billions of years,” added Jennifer Hoffman, a co-author and a professor at the University of Denver. “In this system, the observatory is showing that the dust shells are expanding from one year to the next.”
      Like clockwork, the stars’ winds generate dust for several months every eight years, as the pair make their closest approach during a wide, elongated orbit. Webb also shows how dust formation varies — look for the darker region at top left in both images.
      Video A: Fade Between 2022 and 2023 Observations of Wolf-Rayet 140
      This video alternates between two mid-infrared light observations from NASA’s James Webb Space Telescope of Wolf-Rayet 140. Over only 14 months, Webb showed the dust in the system has expanded. This two-star system has sent out more than 17 shells of dust over 130 years. Video: NASA, ESA, CSA, STScI.; Science: Emma Lieb (University of Denver), Ryan Lau (NSF NOIRLab), Jennifer Hoffman (University of Denver) Video B: Stars’ Orbits in Wolf-Rayet 140 (Visualization)
      When the two massive stars in Wolf-Rayet 140 swing past one another, their winds collide, material compresses, and carbon-rich dust forms. The stronger winds of the hotter star in the Wolf-Rayet system blow behind its slightly cooler (but still hot) companion. The stars create dust for several months in every eight-year orbit.
      Video: NASA, ESA, CSA, Joseph Olmsted (STScI). The telescope’s mid-infrared images detected shells that have persisted for more than 130 years. (Older shells have dissipated enough that they are now too dim to detect.) The researchers speculate that the stars will ultimately generate tens of thousands of dust shells over hundreds of thousands of years.
      “Mid-infrared observations are absolutely crucial for this analysis, since the dust in this system is fairly cool. Near-infrared and visible light would only show the shells that are closest to the star,” explained Ryan Lau, a co-author and astronomer at NSF NOIRLab in Tuscon, Arizona, who led the initial research about this system. “With these incredible new details, the telescope is also allowing us to study exactly when the stars are forming dust — almost to the day.”
      The dust’s distribution isn’t uniform. Though this isn’t obvious at first glance, zooming in on the shells in Webb’s images reveals that some of the dust has “piled up,” forming amorphous, delicate clouds that are as large as our entire solar system. Many other individual dust particles float freely. Every speck is as small as one-hundredth the width of a human hair. Clumpy or not, all of the dust moves at the same speed and is carbon rich.
      The Future of This System
      What will happen to these stars over millions or billions of years, after they are finished “spraying” their surroundings with dust? The Wolf-Rayet star in this system is 10 times more massive than the Sun and nearing the end of its life. In its final “act,” this star will either explode as a supernova — possibly blasting away some or all of the dust shells — or collapse into a black hole, which would leave the dust shells intact.
      Though no one can predict with any certainty what will happen, researchers are rooting for the black hole scenario. “A major question in astronomy is, where does all the dust in the universe come from?” Lau said. “If carbon-rich dust like this survives, it could help us begin to answer that question.”
      “We know carbon is necessary for the formation of rocky planets and solar systems like ours,” Hoffman added. “It’s exciting to get a glimpse into how binary star systems not only create carbon-rich dust, but also propel it into our galactic neighborhood.”
      These results have been published in the Astrophysical Journal Letters and were presented in a press conference at the 245th meeting of the American Astronomical Society in National Harbor, Maryland.
      The James Webb Space Telescope is the world’s premier space science observatory. Webb will solve mysteries in our solar system, look beyond to distant worlds around other stars, and probe the mysterious structures and origins of our universe and our place in it. Webb is an international program led by NASA with its partners, ESA (European Space Agency) and the Canadian Space Agency.
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      View/Download all image products at all resolutions for this article from the Space Telescope Science Institute.
      View/Download the research results from the Astrophysical Journal Letters.
      Media Contacts
      Laura Betz – laura.e.betz@nasa.gov
      NASA’s Goddard Space Flight Center, Greenbelt, Md.
      Claire Blome – cblome@stsci.edu, Christine Pulliam – cpulliam@stsci.edu
      Space Telescope Science Institute, Baltimore, Md.
      Science – Emma Lieb (University of Denver)
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      Last Updated Jan 13, 2025 Editor Marty McCoy Contact Laura Betz laura.e.betz@nasa.gov Related Terms
      Astrophysics Binary Stars Goddard Space Flight Center James Webb Space Telescope (JWST) Nebulae Science & Research Stars The Milky Way The Universe View the full article
    • By USH
      The ongoing mystery and debate surrounding UFO and drone sightings across the U.S. continue to captivate public attention. The lack of transparency and definitive answers from government agencies combined with the apparent absence of military action against these drones, has fueled speculation about possible cover-ups or incompetence. 

      Local, county, and state governments seem to have no knowledge of who is operating these drones, where they originate, or their purpose. Despite this, officials confidently assert that "there is no credible threat." This raises the question: how can they be so certain? The reality suggests they cannot. 
      Recently, the Pentagon issued a statement following claims by a New Jersey congressman that Iran had deployed a "mothership" off the U.S. East Coast, launching drones. The Pentagon denied any military origin for the drones and ruled out links to known foreign entities, but questions persist about whether critical information is being withheld. 
      If these drones are not linked to Iran, the U.S., Russia, China, or any other nation, some experts propose they may be part of clandestine "deep state" programs. These programs could involve advanced aerospace technologies being tested by private companies under classified initiatives. 
      Witness accounts, including those from a New Jersey sheriff and Coast Guard officials, suggest the drones exhibit highly unusual behaviors. These include emerging from the ocean and performing movements like abrupt 90-degree turns—characteristics that could imply the use of advanced propulsion systems not publicly known. 
      Another theory posits that the drones may not be physical objects at all but rather holographic projections, akin to the controversial "Project Blue Beam" concept. If true, this would explain why attempts to intercept them could fail—they might not physically exist. 
      The sheer number, endurance, and sophistication of these drones hint at a coordinated operation. Some theorists believe this might be part of a psychological operation designed to distract from pressing political, economic, or social issues. The timing of such events often appears suspiciously aligned with periods of public, economic unrest or uncertainty. 
      In the event that the "deep state" is orchestrating these phenomena, some fear it could be a prelude to a false flag operation, with motives and consequences yet to be revealed. 
      The situation remains shrouded in speculation, leaving the public to grapple with more questions than answers.
        View the full article
    • By NASA
      6 min read
      Preparations for Next Moonwalk Simulations Underway (and Underwater)
      This animation shows data taken by NASA’s PACE and the international SWOT satellites over a region of the North Atlantic Ocean. PACE captured phytoplankton data on Aug. 8, 2024; layered on top is SWOT sea level data taken on Aug. 7 and 8, 2024. NASA’s Scientific Visualization Studio One Earth satellite can see plankton that photosynthesize. The other measures water surface height. Together, their data reveals how sea life and the ocean are intertwined.
      The ocean is an engine that drives Earth’s weather patterns and climate and sustains a substantial portion of life on the planet. A new animation based on data from two recently launched missions — NASA’s Plankton, Aerosol, Cloud, ocean Ecosystem (PACE) and the international Surface Water and Ocean Topography (SWOT) satellites — gives a peek into the heart of that engine.
      Physical processes, including localized swirling water masses called eddies and the vertical movement of water, can drive nutrient availability in the ocean. In turn, those nutrients determine the location and concentration of tiny floating organisms known as phytoplankton that photosynthesize, converting sunlight into food. These organisms have not only contributed roughly half of Earth’s oxygen since the planet formed, but also support economically important fisheries and help draw carbon out of the atmosphere, locking it away in the deep sea.
      “We see great opportunity to dramatically accelerate our scientific understanding of our oceans and the significant role they play in our Earth system,” said Karen St. Germain, director of the Earth Science Division at NASA Headquarters in Washington. “This visualization illustrates the potential we have when we begin to integrate measurements from our separate SWOT and PACE ocean missions. Each of those missions is significant on its own. But bringing their data together — the physics from SWOT and the biology from PACE — gives us an even better view of what’s happening in our oceans, how they are changing, and why.”
      A collaboration between NASA and the French space agency CNES (Centre National d’Études Spatiales), the SWOT’ satellite launched in December 2022 to measure the height of nearly all water on Earth’s surface. It is providing one of the most detailed, comprehensive views yet of the planet’s ocean and its freshwater lakes, reservoirs, and rivers.
      Launched in February 2024, NASA’s PACE satellite detects and measures the distribution of phytoplankton communities in the ocean. It also provides data on the size, amount, and type of tiny particles called aerosols in Earth’s atmosphere, as well as the height, thickness, and opacity of clouds.
      “Integrating information across NASA’s Earth System Observatory and its pathfinder missions SWOT and PACE is an exciting new frontier in Earth science,” said Nadya Vinogradova Shiffer, program scientist for SWOT and the Integrated Earth System Observatory at NASA Headquarters.
      Where Physics and Biology Meet
      The animation above starts by depicting the orbits of SWOT (orange) and PACE (light blue), then zooms into the North Atlantic Ocean. The first data to appear was acquired by PACE on Aug. 8. It reveals concentrations of chlorophyll-a, a vital pigment for photosynthesis in plants and phytoplankton. Light green and yellow indicate higher concentrations of chlorophyll-a, while blue signals lower concentrations.
      Next is sea surface height data from SWOT, taken during several passes over the same region between Aug. 7 and 8. Dark blue represents heights that are lower than the mean sea surface height, while dark orange and red represent heights higher than the mean. The contour lines that remain once the color fades from the SWOT data indicate areas of the ocean with the same height, much like the lines on a topographic map indicate areas with the same elevation.
      The underlying PACE data then cycles through several groups of phytoplankton, starting with picoeukaryotes. Lighter green indicates greater concentrations of this group. The final two groups are cyanobacteria — some of the smallest and most abundant phytoplankton in the ocean — called Prochlorococcus and Synechococcus. For Prochlorococcus, lighter raspberry colors represent higher concentrations. Lighter teal colors for Synechococcus signal greater amounts of the cyanobacteria.
      The animation shows that higher phytoplankton concentrations on Aug. 8 tended to coincide with areas of lower water height. Eddies that spin counterclockwise in the Northern Hemisphere tend to draw water away from their center. This results in relatively lower sea surface heights in the center that draw up cooler, nutrient-rich water from the deep ocean. These nutrients act like fertilizer, which can boost phytoplankton growth in sunlit waters at the surface.
      Overlapping SWOT and PACE data enables a better understanding of the connections between ocean dynamics and aquatic ecosystems, which can help improve the management of resources such as fisheries, since phytoplankton form the base of most food chains in the sea. Integrating these kinds of datasets also helps to improve calculations of how much carbon is exchanged between the atmosphere and the ocean. This, in turn, can indicate whether regions of the ocean that absorb excess atmospheric carbon are changing.
      More About SWOT
      The SWOT satellite was jointly developed by NASA and CNES, with contributions from the Canadian Space Agency (CSA) and the UK Space Agency. NASA’s Jet Propulsion Laboratory, managed for the agency by Caltech in Pasadena, California, leads the U.S. component of the project. For the flight system payload, NASA provided the Ka-band radar interferometer (KaRIn) instrument, a GPS science receiver, a laser retroreflector, a two-beam microwave radiometer, and NASA instrument operations.  The Doppler Orbitography and Radioposition Integrated by Satellite system, the dual frequency Poseidon altimeter (developed by Thales Alenia Space), the KaRIn radio-frequency subsystem (together with Thales Alenia Space and with support from the UK Space Agency), the satellite platform, and ground operations were provided by CNES. The KaRIn high-power transmitter assembly was provided by CSA.
      To learn more about SWOT, visit:
      https://swot.jpl.nasa.gov
      More About PACE
      The PACE mission is managed by NASA Goddard Space Flight Center, which also built and tested the spacecraft and the Ocean Color Instrument, which collected the data shown in the visualization. The satellite’s Hyper-Angular Rainbow Polarimeter #2  was designed and built by the University of Maryland, Baltimore County, and the Spectro-polarimeter for Planetary Exploration  was developed and built by a Dutch consortium led by Netherlands Institute for Space Research, Airbus Defence, and Space Netherlands.
      To learn more about PACE, visit:
      https://pace.gsfc.nasa.gov
      News Media Contacts
      Jacob Richmond (for PACE)
      NASA’s Goddard Space Flight Center, Greenbelt, Md.
      jacob.a.richmond@nasa.gov
      Jane J. Lee / Andrew Wang (for SWOT)
      Jet Propulsion Laboratory, Pasadena, Calif.
      818-354-0307 / 626-379-6874
      jane.j.lee@jpl.nasa.gov / andrew.wang@jpl.nasa.gov
      2024-169
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      Last Updated Dec 09, 2024 Related Terms
      PACE (Plankton, Aerosol, Cloud, Ocean Ecosystem) Climate Science Oceans SWOT (Surface Water and Ocean Topography) Explore More
      7 min read Six Ways Supercomputing Advances Our Understanding of the Universe
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