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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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The Canadarm2 removes materials science samples from the Kibo laboratory module's airlock. NASA The Materials ISS Experiment Flight Facility mounted on the outside of the International Space Station allows researchers to test the performance and durability of materials and devices. This is done by exposing items of interest to everything that makes the space environment harsh, including radiation, highly reactive atomic oxygen, microgravity, and extreme temperatures.
Currently, one suite on the platform holds MISSE-20-Commercial, an investigation conducting 12 experiments from different research teams. Among MISSE-20-Commercial is the Space Entanglement and Annealing Quantum Experiment (SEAQUE) which tests two technologies that could advance the field of quantum communications. The first technology is a novel method to transmit quantum data. This method could make way for a scalable quantum information network and provide the foundation of quantum cloud computing, a technology that holds the promise of operating millions of times faster than conventional computers. SEAQUE will also validate technology to “self-heal” its sensitive detectors against radiation damage using laser annealing, prolonging the life of these quantum tools in a space environment.
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By NASA
NASA/JPL-Caltech A 16.5-inch-long prototype of a robot designed to explore subsurface oceans of icy moons is reflected in the water’s surface during a test in a competition swimming pool in September 2024. Conducted by NASA’s Jet Propulsion Laboratory, the testing showed the feasibility of a mission concept called SWIM, short for Sensing With Independent Micro-swimmers. The project envisions a swarm of dozens of self-propelled, cellphone-size robots looking for signs of life on ocean worlds. SWIM is funded by NASA’s Innovative Advanced Concepts program under the agency’s Space Technology Mission Directorate.
Learn more about the next generation of robotic concepts that could potentially plunge into the watery depths of Europa and other ocean worlds.
Image credit: NASA/JPL-Caltech
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