CubeSat-based Science Missions for Space Weather and Atmospheric Research
U.S. National Science Foundation · Opportunity 10-537
Full Proposal Deadline(s): May 18, 2010 May 18, Annually Thereafter
≈ 2 awards expected
Who can apply
- Unrestricted
About this opportunity
Lack of essential observations from space is currently a major limiting factor in space weather research. Recent advances in sensor and spacecraft technologies make it feasible to obtain key measurements from low-cost, small satellite missions. A particularly promising aspect of this development is the prospect for obtaining multi-point observations in space that are critical for addressing many outstanding problems in space science. Space-based measurements from small satellites also have great potential to advance discovery and understanding in other areas of atmospheric sciences. To take full advantage of these developments, NSF is soliciting research proposals centered on small satellite missions.The overarching goal of the program is to support the development, construction, launch, operation, and data analysis of small satellite science missions to advance space weather and atmospheric research. Equally important, it will provide essential opportunities to train the next generation of experimental space scientists and aerospace engineers.To facilitate launch of the satellites as secondary payloads on existing missions, the focus of the program is on CubeSat-based satellites. Launch of the satellites will be through the standardized CubeSat deployment system, the Poly Picosatellite Orbital Deployer (P-POD). Launch of the P-PODS will be as auxiliary payloads on DOD, NASA, or commercial launches. This will be arranged directly by NSF and is not part of this solicitation. Beginning in 2009, NSF expects to launch two to three P-PODs every year, accommodating at least as many (two to six) individual satellite missions. This solicitation covers proposals for science missions to include satellite development, construction, testing and operation as well as data distribution and scientific analysis.
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