An Examination of SuperDARN Backscatter Modes Using Machine Learning Guided by Ray‐Tracing
Abstract The Super Dual Auroral Radar Network (SuperDARN) is a network of High Frequency (HF) radars that are typically used for monitoring plasma convection in the Earth's ionosphere. A majority of SuperDARN backscatter can broadly be divided into three categories: (a) ionospheric scatter due...
Saved in:
Main Authors: | B. S. R. Kunduri, J. B. H. Baker, J. M. Ruohoniemi, E. G. Thomas, S. G. Shepherd |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2022-09-01
|
Series: | Space Weather |
Subjects: | |
Online Access: | https://doi.org/10.1029/2022SW003130 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
On the Use of SuperDARN Ground Backscatter Measurements for Ionospheric Propagation Model Validation
by: Joshua J. Ruck, et al.
Published: (2024-09-01) -
Observations and Modeling Studies of Solar Eclipse Effects on Oblique High Frequency Radio Propagation
by: M. L. Moses, et al.
Published: (2021-03-01) -
A Model of High Latitude Ionospheric Convection Derived From SuperDARN EOF Model Data
by: M. M. Lam, et al.
Published: (2023-07-01) -
Development of the Chinese Dual Auroral Radar Network and Preliminary Results
by: Jiaojiao Zhang, et al.
Published: (2024-10-01) -
Data Assimilation of High‐Latitude Electric Fields: Extension of a Multi‐Resolution Gaussian Process Model (Lattice Kriging) to Vector Fields
by: Haonan Wu, et al.
Published: (2022-01-01)