Date of Award:

5-2013

Document Type:

Thesis

Degree Name:

Master of Science (MS)

Department:

Electrical and Computer Engineering

Committee Chair(s)

Charles Swenson

Committee

Charles Swenson

Committee

Alan Marchant

Committee

Todd Moon

Abstract

In the same way that mariners desire to know the weather their ships are about to encounter, satellite owners would like to know the conditions along their satellites' orbits. Accurate forecasts would allow operators to secure sensitive components prior to passing through a storm to reduce the risk of damage. Large solar arrays, which can act like sails, can be re-oriented to prevent the satellite from being moved out of its desired orbit. While terrestrial weather forecasters have thousands of sensors with continuous data streams available to generate weather models, very few sensors exist for space weather. Cost of sensing systems has been a major barrier for the space weather community. This thesis presents two sensors to measure weather in the thermosphere that can be produced and operated at a cost an order of magnitude lower than current systems.

High spatial and temporal resolution data on temperatures and winds in the thermosphere are needed by both the space weather and earth climate modeling communities. To address this need, Space Dynamics Laboratory (SDL) started the Profiling Oxygen Emissions of the Thermosphere (POET) program, which is the focus of this thesis. POET consists of a series of sensors designed to fly on sounding rockets, CubeSats, or larger platforms, such as IridiumNEXT SensorPODS. While each sensor design is different, they all use characteristics of oxygen optical emissions to measure space weather properties.

The POET program builds upon the work of the RAIDS, Odin, and UARS programs. Our intention is to dramatically reduce the costs of building, launching, and operating spectrometers in space, thus allowing for more sensors to be in operation. Continuous long-term data from multiple sensors is necessary to understand the underlying physics required to accurately model and predict weather in the thermosphere.

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