G11*: Total Eclipse
Wed, 8 Jan, 15:30 - 17:10 MT (UTC -7)
Location: Room 200
Session Type: Lecture
Session Chair: Josemaria Socola, University of Texas at Dallas
Track: Special Sessions
Click the to view the manuscript on IEEE Xplore Open Preview
Wed, 8 Jan, 15:30 - 15:50 MT (UTC -7)

G11*.1: An Eclipse-Ballooning Study of Shadow Bands During the April 2024 Total Eclipse

Giana Deskevich, University of Pittsburgh, United States; Norris Bach, Carnegie Mellon University, United States; Jakob Bindas, Kristian Borysiak, Russell Clark, Louis Coban, Istvan Danko, Luke Docherty, Michael Hatridge, Howard Malc, Boris Mestis, Emma Moran, Mathilda Nilsson, University of Pittsburgh, United States; Jeffery Peterson, Carnegie Mellon University, United States; Edward Michael Potosky, Sandhya Rao, Peri Schindelheim, David Turnshek, Ryan Young, Ameya Velankar, University of Pittsburgh, United States
Wed, 8 Jan, 15:50 - 16:10 MT (UTC -7)

G11*.2: Comparative Analysis of the Great American Solar Eclipses Data Obtained with the Transportable Dynasonde System

Nikolay Zabotin, Liudmila Zabotina, NorthWest Research Associates, United States
Wed, 8 Jan, 16:10 - 16:30 MT (UTC -7)

G11*.3: VLF and ELF Remote Sensing of the Lower Ionosphere during Total Solar Eclipse Conditions

Mark Golkowski, University of Colorado Denver, United States; Oleksiy Agapitov, University of California Berkeley, United States; Ryan Eskola, Gabriel Da Silva, Favour Ogbinaka, Srivani Inturi, University of Colorado Denver, United States
Wed, 8 Jan, 16:30 - 16:50 MT (UTC -7)

G11*.4: Signatures of ionospheric G-condition observed during 2017 and 2021 Total Solar Eclipses

Shibaji Chakraborty, Virginia Tech, United States; Sebastijan Mrak, JHU/APL, United States; Naomi Maruyama, LASP, United States; Gareth Chisham, BAS, United Kingdom; Xueling Shi, Virginia Tech, United States; Evan Thomas, Dartmouth College, United States; Kevin Sterne, Virginia Tech, United States
Wed, 8 Jan, 16:50 - 17:10 MT (UTC -7)

G11*.5: Forecasting Global VTEC Data from VISTA with High Spatial and Temporal Resolution Using a Transformer-Based Deep Learning Model

Srivani Inturi, Mark Golkowski, Ashis Biswas, University of Colorado Denver, United States; Venkata Ratnam Devanaboyina, Koneru Lakshmaiah University, India; Anmol Singhal, University of Colorado Denver, United States