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By NASA
NASA, on behalf of the National Oceanic and Atmospheric Administration (NOAA), has selected Johns Hopkins University’s Applied Physics Laboratory of Laurel, Maryland, to build the Suprathermal Ion Sensors for the Lagrange 1 Series project, part of NOAA’s Space Weather Next Program.
This cost-plus-fixed-fee contract is valued at approximately $20.5 million and includes the development of two Suprathermal Ion Sensor instruments. The anticipated period of performance for this contract will run through Jan. 31, 2034. The work will take place at the awardee’s facility in Maryland, NASA’s Goddard Space Flight Center in Greenbelt, Maryland, and Kennedy Space Center in Florida.
The contract scope includes design, analysis, development, fabrication, integration, test, verification, and evaluation of the Suprathermal Ion Sensor instruments, launch support, supply and maintenance of ground support equipment, and support of post-launch mission operations at the NOAA Satellite Operations Facility.
The Suprathermal Ion Sensors will provide critical data to NOAA’s Space Weather Prediction Center, which issues forecasts, warnings and alerts that help mitigate space weather impacts, including electric power outages and interruption to communications and navigation systems.
The instruments will measure suprathermal ions and electrons across a broad range of energies, and will provide real-time, continuous observations to ensure early warning of various space weather impacts. They also will monitor ions to characterize solar ejections including coronal mass ejections, co-rotating interaction regions, and interplanetary shocks. Analysis of these spectra aids in estimating the arrival time and strength of solar wind shocks.
NASA and NOAA oversee the development, launch, testing, and operation of all the satellites in the L1 Series project. NOAA is the program owner that provides funds and manages the program, operations, and data products and dissemination to users. NASA and commercial partners develop, build, and launch the instruments and spacecraft on behalf of NOAA.
For information about NASA and agency programs, please visit:
https://www.nasa.gov
-end-
Jeremy Eggers
Goddard Space Flight Center, Greenbelt, Md.
757-824-2958
jeremy.l.eggers@nasa.gov
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Last Updated Nov 26, 2024 EditorRob GarnerContactJeremy EggersLocationGoddard Space Flight Center Related Terms
NOAA (National Oceanic and Atmospheric Administration) Goddard Space Flight Center Heliophysics Heliophysics Division View the full article
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By NASA
4 min read
NASA AI, Open Science Advance Natural Disaster Research and Recovery
Hurricane Ida is pictured as a category 2 storm from the International Space Station as it orbited 264 miles above the Gulf of Mexico. In the foreground is the Canadarm2 robotic arm with Dextre, the fine-tuned robotic hand, attached. NASA By Lauren Perkins
When you think of NASA, disasters such as hurricanes may not be the first thing to come to mind, but several NASA programs are building tools and advancing science to help communities make more informed decisions for disaster planning.
Empowered by NASA’s commitment to open science, the NASA Disasters Program supports disaster risk reduction, response, and recovery. A core element of the Disasters Program is providing trusted, timely, and actionable data to aid organizations actively responding to disasters.
Hurricane Ida made landfall in Louisiana Aug. 21, 2021, as a category 4 hurricane, one of the deadliest and most destructive hurricanes in the continental United States on record. The effects of the storm were widespread, causing devastating damage and affecting the lives of millions of people.
During Hurricane Ida, while first responders and other organizations addressed the storm’s impacts from the ground, the NASA Disasters program was able to provide a multitude of remotely sensed products. Some of the products and models included information on changes in soil moisture, changes in vegetation, precipitation accumulations, flood detection, and nighttime lights to help identify areas of power outages.
Image Before/After The NASA team shared the data with its partners on the NASA Disasters Mapping Portal and began participating in cross-agency coordination calls to determine how to further aid response efforts. To further connect and collaborate using open science efforts, NASA Disasters overlaid publicly uploaded photos on their Damage Proxy Maps to provide situational awareness of on-the-ground conditions before, during, and after the storm.
Immediate post-storm response is critical to saving lives; just as making informed, long- term response decisions are critical to providing equitable recovery solutions for all. One example of how this data can be used is blue tarp detection in the aftermath of Hurricane Ida.
Using artificial intelligence (AI) with NASA satellite images, the Interagency Implementation and Advanced Concepts Team (IMPACT), based at NASA’s Marshall Space Flight Center in Huntsville, Alabama, conducted a study to detect the number of blue tarps on rooftops in the aftermath of hurricanes, such as Ida, as a way of characterizing the severity of damage in local communities.
An aerial photograph shows damaged roofs from Hurricane Maria in 2017 in Barrio Obrero, Puerto Rico. In the wake of the hurricane, the Federal Emergency Management Agency (FEMA) and United States Army Corps of Engineers distributed 126,000 blue tarps and nearly 60,000 temporary blue roofs to people awaiting repairs on damaged homes. NASA While disasters cannot be avoided altogether, timely and accessible information helps communities worldwide reduce risk, improve response, hasten recovery, and build disaster resilience.
Through an initiative led by NASA’s Office of the Chief Science Data Officer, NASA and IBM are developing five open-source artificial intelligence foundation models trained on NASA’s expansive satellite repositories. This effort will help make NASA’s vast, ever-growing amounts of data more accessible and usable. Leveraging NASA’s AI expertise allows users to make faster, more informed decisions. User applications of the Prithvi Earth Foundation Models could range from identifying flood risks and predicting crop yields to forecasting long range atmospheric weather patterns.
“NASA is dedicated to ensuring that our scientific data are accessible and beneficial to all. Our AI foundation models are scientifically validated and adaptable to new data, designed to maximize efficiency and lower technical barriers. This ensures that even in the face of challenging disasters, response teams can be swift and effective,” said Kevin Murphy, NASA’s chief science data officer. “Through these efforts, we’re not only advancing scientific frontiers, but also delivering tangible societal benefits, providing data that can safeguard lives and improve resilience against future threats.”
Hear directly from some of the data scientists building these AI models, the NASA disaster response team, as well as hurricane hunters that fly directly into these devastating storms on NASA’s Curious Universe podcast.
Learn more about NASA’s AI for Science models at https://science.nasa.gov/artificial-intelligence-science/.
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Last Updated Nov 26, 2024 Related Terms
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By NASA
6 min read
Preparations for Next Moonwalk Simulations Underway (and Underwater)
Research scientist Alfonso Delgado Bonal makes important discoveries about patterns in cloud movements while thriving within the NASA Goddard family.
Name: Alfonso Delgado Bonal
Formal Job Classification: Research scientist
Organization: Climate and Radiation Laboratory, Science Directorate (Code 613)
Alfonso Delgado Bonal is a research scientist for NASA’s Goddard Space Flight Center’s Climate and Radiation Laboratory in Greenbelt, Md.NASA What do you do and what is most interesting about your role here at Goddard?
As a theoretical physicist, I study data from the DSCOVR satellite to analyze daytime variability of cloud properties. We are discovering diurnal (daylight) cloud patterns using a single sensor.
What is your educational background?
I have an undergraduate degree in theoretical physics from the University of Salamanca, Spain. I have a master’s in astrophysics from the University of Valencia, Spain, and a second master’s in space technology from the University of Alcalá, Spain. In 2015, I received a doctorate in theoretical physics from the University of Salamanca.
From 2016–2018, I had a postdoctoral fellowship with the Spanish National Research Agency. From 2018–2020, I had a postdoctoral fellowship at Goddard’s Climate and Radiation Laboratory.
I also have an undergraduate degree in economics from the Spanish Open University and an undergraduate degree in law from the University of La Rioja, Spain. I am considering returning to school for a master’s in law to sit for the bar.
What fascinates you about clouds?
As a child, I remember watching clouds moving. I never questioned whether these clouds moved randomly or in a pattern. One day, Sasha Marshak, my supervisor and one of my mentors, asked me to determine if clouds move randomly or in a pattern.
Clouds have a profound impact on our planet. They regulate the Earth’s energy budget. Some clouds reflect radiation that cools our planet while other clouds trap radiation which warms our planet. Cloud behavior is one of the most important factors in regulating climate change.
What is the data from the DSCOVR satellite telling you?
DSCOVR is the only satellite capturing data that shows the entire sunlit part of the Earth at once. The left part of an image is early morning and the right part of an image is nearing sunset. For the first time, we can see how clouds evolve throughout the entire day. Other satellites only capture either a fixed time or a small region of the planet.
We discovered that clouds do not move randomly, they move in patterns. We measure these patterns in terms of cloud fraction (the amount of sky covered by clouds), cloud height and cloud optical thickness. In general, at noon we have the maximum cloud coverage over land and the minimum cloud coverage over sea. Also, at noon, clouds are generally lower and thicker. There is some predictability in the general pattern of cloud movement.
Coming from Spain, what was the most unusual cultural aspect you had to adjust to when you joined your lab?
When I arrived from Spain, my English was not great and I did not understand the cultural aspects. My first email was from Headquarters thanking the whole NASA family. The idea of a work family was something unfamiliar. To me, family meant blood relatives.
After one or two years, I felt that members of my lab were indeed my family. They really care about me as a person and I feel the same about them. We have parties where we do not talk about work, we talk about ourselves and our families. Our lab has people from all over the world, and we all share the same feeling about being part of the NASA family. We have a family at home and also a family at NASA.
Every time I see Sasha, he always asks about my family and about myself before talking about the work. Lazaros Oreopoulos, Sasha’s supervisor, does the same. They really inspire me.
As your mentors, how did Sasha and Lazaros made you feel welcome?
I came here from a different world. I was doing theoretical physics in Spain but my NASA post doc involved data analysis, which is what I am doing now. Sasha also came from a different county and also had a strong mathematical background. I felt that he understood me and the challenges before me. He made me feel extremely welcome and explained some cultural aspects. He made sure that I understood how the lab worked, introduced me to everyone, and invited my wife and me to dinner at his home. He really made me feel part of the NASA family.
Lazaros strikes the perfect balance between being a respected supervisor and acting like family. He always has a winter party for the entire office where everyone brings in homemade food from their country. Our lab has people from many different countries. Lazaros always checks in with me to see how I am doing. He has created a marvelous place where we all feel like family and do great work.
Lazaros and Sasha gave me a chance when they invited me to join their lab. I do not have words to thank them enough for believing in me when I was just a post doc and for guiding me through my career and, most of all, for their incredible advice about life. They are now both family to me.
What advice have your mentors given you?
Both Sasha and Lazaros taught me creativity. They both always ask questions. Even if a question seems at first impossible to answer, eventually you will develop the tools to answer the questions. It was Sasha who asked me if clouds have random behavior or move in patterns. It has taken me a few years to answer his question and now we are making unexpected and important discoveries about clouds.
What do you do for fun?
Now that I have two young children, my fun now is spending as much time as I can with my wife and children. My wife is a biologist and I have learned a lot from her.
What book are you currently reading?
I love reading. I am rereading the “Iliad,” one of my favorites. My favorite book is “The Little Prince.” I read my children a bedtime story every night and now that they are a little older, sometimes they read one to me.
What is your one big dream?
To see my kids have great lives and be happy.
What is your motto?
“If you’re going to try, go all the way.” —Charles Bukowski
By Elizabeth M. Jarrell
NASA’s Goddard Space Flight Center, Greenbelt, Md.
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 Nov 26, 2024 EditorJamie AdkinsContactRob Garnerrob.garner@nasa.govLocationGoddard Space Flight Center Related Terms
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By Space Force
The Air Force Research Laboratory, or AFRL, launched the Space Power InfraRed Regulation and Analysis of Lifetime, or SPIRRAL, experiment, Nov. 4. SPIRRAL, flown by AFRL through the DOD Space Test Program, will characterize the performance of Variable Emissivity Materials, or VEMs, an approach toward solving thermal challenges for space vehicles while on-orbit.
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