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        <identifier>oai:www.ideals.illinois.edu:2142/16193</identifier>
        <datestamp>2023-07-10</datestamp>
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        <thesis xmlns="http://www.ndltd.org/standards/metadata/etdms/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/" xsi:schemaLocation="http://www.ndltd.org/standards/metadata/etdms/1.1/ http://www.ndltd.org/standards/metadata/etdms/1.1/etdms11.xsd http://purl.org/dc/elements/1.1/ http://www.ndltd.org/standards/metadata/etdms/1.1/etdmsdc.xsd">
          <dc:contributor>Makela, Jonathan J.</dc:contributor>
          <dc:creator>Hedlund, Peter R.</dc:creator>
          <dc:date>2010-05-19T18:40:15Z</dc:date>
          <dc:date>2010-05-19T18:40:15Z</dc:date>
          <dc:date>2010-05-19T18:40:15Z</dc:date>
          <dc:description>One significant cause of disruption in the propagation of low-power, trans-
atmospheric radio waves is equatorial spread F (ESF). The Rayleigh-Taylor
instability (RTI) causes the development of many types of ESF events. It
has been theorized that thermospheric winds have a substantial e ect on the
growth rate of the RTI, but very little data has been gathered to verify or
disprove this idea.
This thesis proposes a method for synchronously using two ground-based
Fabry-Perot interferometers (FPI) to estimate thermospheric winds. When
a single FPI is used, assumptions must be made to obtain meaningful wind
data, but there are inherent limitations to the usefulness of the data caused
by the use of these assumptions. It must be assumed that either the vertical
wind speed is zero or the vertical and horizontal winds are uniform for the
entire 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 wind  eld. However, a bistatic FPI system (BFPIS) can be used
to obtain full vector wind information in two or more locations. This observa-
tion methodology also has potential for reducing the number of assumptions
that must be made. For a BFPIS, it need only be assumed that the vertical
wind is uniform for the observation area.
We begin with a review of the physical principles and typical methods for
using an FPI to estimate thermospheric winds and temperatures. We then
propose a method for using a BFPIS to improve collected data, as compared
to using a single FPI, and present simulations that validate this method.</dc:description>
          <dc:description>Item withdrawn by Mark Zulauf (zulauf@illinois.edu) on 2010-04-26T21:30:12Z
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          <dc:identifier>http://hdl.handle.net/2142/16193</dc:identifier>
          <dc:language>en</dc:language>
          <dc:rights>Copyright 2010 Peter Hedlund</dc:rights>
          <dc:subject>Fabry-Perot Interferometer</dc:subject>
          <dc:subject>ionosphere</dc:subject>
          <dc:subject>thermosphere</dc:subject>
          <dc:subject>thermospheric winds</dc:subject>
          <dc:subject>atmospheric science</dc:subject>
          <dc:title>Using a bistatic Fabry-Perot interferometer system to improve the estimation of thermospheric winds</dc:title>
          <dc:date>2010-5</dc:date>
          <degree>
            <department>Electrical &amp; Computer Eng</department>
            <departmentCode>1933</departmentCode>
            <discipline>Electrical &amp; Computer Engr</discipline>
            <disciplineCode>1200</disciplineCode>
            <grantor>University of Illinois at Urbana-Champaign</grantor>
            <level>Thesis</level>
            <name>M.S.</name>
            <program>MS:Electr &amp; Computer Eng-UIUC</program>
            <programCode>10KS1200MS</programCode>
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