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Dear colleagues,</div>
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The <u><a style="color: rgb(70, 120, 134);" class="OWAAutoLink" id="OWA134a0779-820a-f881-81c6-479a5b0917a4" href="https://www.asiaoceania.org/AOGS2026/Home">AOGS 2026 | Home</a></u> annual meeting will be held in Fukuoka, Japan, August 2nd – 7th, 2026. We
invite you to submit abstracts to the AS-19 session. The submission deadline is Jan 23, 2026. Below, please find the session description. We look forward to seeing you in Fukuoka.</div>
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<b>AS19- Advanced Topics in the Whole Atmosphere: Remote Sensing Applications for Atmospheric Processes from Lower/Middle Atmosphere to Ionospheric Dynamics</b><br>
Section(s) AS - Atmospheric Sciences (Primary)<br>
ST - Solar and Terrestrial Sciences</div>
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Session Description</div>
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Recent advances in atmospheric remote sensing—utilizing cutting-edge satellite, airborne, and ground-based instrumentation—have revolutionized our ability to observe the Earth's atmosphere. This session focuses on how these sophisticated techniques are enhancing
our understanding of the complex, coupled physical processes spanning the lower atmosphere all the way to the ionosphere. We invite presentations that use remote sensing data to investigate the drivers and effects of vertical atmospheric coupling. Of particular
interest are studies focusing on the transport of energy, momentum, and electricity from the troposphere and stratosphere upwards. Topics may include, but are not limited to: (i) Drivers of Coupling: Studies on large-scale hydrodynamic and electromagnetic
phenomena, such as thunderstorms, lightning, gravity waves, airglow, and extreme weather events, and their propagation into the middle and upper atmosphere; (ii) Ionospheric Effects: The remote sensing observation and modeling of resulting upper atmosphere
and ionospheric features, including atmospheric tides, plasma bubbles, and ionospheric irregularities; (iii) Data Fusion: While the proliferation of satellite sensors provides rich, multi-sensor Earth observations, individual instrument limitations persist.
Data fusion leveraging deep learning models offers a vital path toward a comprehensive solution, such as enhancing both the spatial and temporal resolution of observations. This session seeks to bridge the gap between atmospheric and space physics, highlighting
the critical role of advanced remote sensing in addressing open questions related to Extreme Weather/Space Weather originating from below.</div>
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Best,</div>
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Dr Cheng-Ling Kuo (National Central University)<br>
Prof Tai-Yin Huang (Penn State Lehigh Valley)<br>
Prof Iain Reid (ATRAD Pty Ltd)</div>
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<span style="font-family: Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);">Dr. Tai-Yin Huang, Professor of Physics</span></p>
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<span style="font-family: Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);">Penn State Lehigh Valley</span></p>
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<span style="font-family: Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);">IDEA,<a style="margin-top: 0px; margin-bottom: 0px;" class="OWAAutoLink" id="OWA54294f4b-9210-84ad-745a-bc7e7baca875" href="http://sites.psu.edu/idea"> http://sites.psu.edu/idea</a></span></p>
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<span style="font-family: Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);">IESE,<a style="margin-top: 0px; margin-bottom: 0px;" class="OWAAutoLink" id="OWAfb256d28-967e-d53a-416c-02b1620fa033" href="http://sites.psu.edu/iesepslv">http://sites.psu.edu/iesepslv</a></span></p>
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Distinguished Fellow, Institute of Data Science and Artificial Intelligence<br>
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