学位论文详细信息
Using a bistatic Fabry-Perot interferometer system to improve the estimation of thermospheric winds
Fabry-Perot Interferometer;ionosphere;thermosphere;thermospheric winds;atmospheric science
Hedlund, Peter R. ; Makela ; Jonathan J.
关键词: Fabry-Perot Interferometer;    ionosphere;    thermosphere;    thermospheric winds;    atmospheric science;   
Others  :  https://www.ideals.illinois.edu/bitstream/handle/2142/16193/Hedlund_Peter.pdf?sequence=9&isAllowed=y
美国|英语
来源: The Illinois Digital Environment for Access to Learning and Scholarship
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【 摘 要 】

One significant cause of disruption in the propagation of low-power, trans-atmospheric radio waves is equatorial spread F (ESF). The Rayleigh-Taylorinstability (RTI) causes the development of many types of ESF events. Ithas been theorized that thermospheric winds have a substantial e ect on thegrowth rate of the RTI, but very little data has been gathered to verify ordisprove this idea.This thesis proposes a method for synchronously using two ground-basedFabry-Perot interferometers (FPI) to estimate thermospheric winds. Whena single FPI is used, assumptions must be made to obtain meaningful winddata, but there are inherent limitations to the usefulness of the data causedby the use of these assumptions. It must be assumed that either the verticalwind speed is zero or the vertical and horizontal winds are uniform for theentire observation area in order to obtain meaningful wind speed estimates.In addition, data from a single FPI cannot be used to identify complex struc-tures in the windeld. However, a bistatic FPI system (BFPIS) can be usedto obtain full vector wind information in two or more locations. This observa-tion methodology also has potential for reducing the number of assumptionsthat must be made. For a BFPIS, it need only be assumed that the verticalwind is uniform for the observation area.We begin with a review of the physical principles and typical methods forusing an FPI to estimate thermospheric winds and temperatures. We thenpropose a method for using a BFPIS to improve collected data, as comparedto using a single FPI, and present simulations that validate this method.

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