G5.2
Unsupervised Machine Learning for VLF Sferics Discovery Using CNNs and Dimensionality Reduction
Spencer Plep, Hunter Burch, Auburn University - Applied Radio Science Lab, United States
Session:
G5: Ionospheric Modeling and Data Assimilation II Lecture
Track:
Commission G: Ionospheric Radio and Propagation
Location:
Flatirons 4
Presentation Time:
Thu, 8 Jan, 10:40 - 11:00 MT (UTC -7)
Session Co-Chairs:
Joe Hughes, NorthWest Research Associates and Isaac Wright, University of Texas at Dallas
Presentation
Discussion
Resources
No resources available.
Session G5
G5.1: Revisiting Ionospheric Tomography Across Scales: Nonlinear Fitting with Electron Density Profiles and Gravity Wave Signatures
Maya McKean, Embry-Riddle Aeronautical University, United States; Enrique Rojas, MIT Haystack Observatory, United States
G5.2: Unsupervised Machine Learning for VLF Sferics Discovery Using CNNs and Dimensionality Reduction
Spencer Plep, Hunter Burch, Auburn University - Applied Radio Science Lab, United States
G5.3: Real-time ionospheric data assimilation using an automated oblique ionogram trace extractor
Matthew Hogan, Kelsey Kramer, Shawn Kraut, Sergey Fridman, L.J. Nickisch, NorthWest Research Associates, United States
G5.4: How Bad Could It Be? Quantifying the Errors in Quasi-Midpoint Mapping for Ingesting Oblique Ionograms
Joe Hughes, LJ Nickish, Matt Hogan, Kelsey Kramer, Sergey Fridman, NorthWest Research Associates, United States
G5.5: Investigating Spectral Features and Multiscale Structuring of Ionospheric Irregularities in the Auroral Region using Modeling
Pralay Raj Vaggu, Embry-Riddle Aeronautical University, United States; Gary Bust, Johns Hopkins University Applied Physics Laboratory, United States; Kshitija Deshpande, Embry-Riddle Aeronautical University, United States; Gytis Blinstrubas, Seebany Datta-Barua, Illinois Institute of Technology, United States; Matt Zettergren, Embry-Riddle Aeronautical University, United States
Contacts