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Dear Colleagues,</div>
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You are cordially invited to submit abstracts to the 2024 AGU Fall Meeting session (SA008) - Composition, Wind, and Temperature Variability in the Mesosphere and Ionosphere/Thermosphere.</div>
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****Session Details**** </div>
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Session Title: SA008 - Composition, Wind, and Temperature Variability in the Mesosphere and Ionosphere/Thermosphere</div>
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Section: SPA-Aeronomy</div>
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Session Link: <span style="color: blue;"><u><a href="https://agu.confex.com/agu/agu24/prelim.cgi/Session/227460" id="OWAad9305cb-3ad5-cc1f-0e64-a0453d98b3a5" class="OWAAutoLink" style="color: blue;">https://agu.confex.com/agu/agu24/prelim.cgi/Session/227460</a></u></span></div>
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Primary Convener: Sovit Khadka, Orion Space Solutions</div>
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Conveners: McArthur Jones, US Naval Research Laboratory</div>
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Liying Qian, National Center for Atmospheric Research</div>
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Andrew J Kavanagh, NERC British Antarctic Survey</div>
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Lilias Claire Gasque, University of California, Berkeley </div>
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Session Description:</div>
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The composition, winds, and temperatures of Earth’s mesosphere and ionosphere/thermosphere are determined by the complex interplay of chemical, dynamical, and thermodynamic processes driven by forcing from both above and below. The forcing of these regions
and the many different processes involved vary over a wide range of spatial and temporal scales, hindering accurate determination of these fundamental parameters critical to satellite operations and radio communications. Past and current space missions, field
campaigns, as well as theoretical and modeling advances, have led to a new understanding of how and why the dominant drivers of upper atmospheric composition, winds, and temperatures in these regions change over different spatial and temporal scales. This
session, therefore, seeks to highlight various topics surrounding middle and upper atmospheric composition, wind, and temperature measurements, their variability, and the prominent mechanisms that drive their spatial, seasonal, and inter-annual variability
from theoretical, observational, and modeling perspectives.</div>
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We look forward to your contribution to our AGU session. </div>
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Please note that the abstract submission deadline is <b>Wednesday, 31 July 2024 at 23:59 EDT/03:59+1 GMT</b>.</div>
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Thank you.</div>
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Sincerely,</div>
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Sovit Khadka, McArthur Jones, Liying Qian, Andrew Kavanagh, Lilias Claire Gasque</div>
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