NASA Logo

NTRS

NTRS - NASA Technical Reports Server

Collections About News Help Login
Back to Results
Automated High‐Frequency Geomagnetic Disturbance Classifier: A Machine Learning Approach to Identifying Noise While Retaining High‐Frequency Components of the Geomagnetic Field
External Source
chorus
Document Type
Accepted Manuscript
Authors
Brett A. McCuen (Department of Climate and Space Sciences and Engineering University of Michigan Ann Arbor MI USA)
Mark B. Moldwin (Department of Climate and Space Sciences and Engineering University of Michigan Ann Arbor MI USA)
Erik S. Steinmetz (Department of Physics Augsburg University Minneapolis MN USA)
Mark J. Engebretson (Department of Physics Augsburg University Minneapolis MN USA)
Date Acquired
February 10, 2024
Publication Date
February 13, 2023
Publication Information
Publication: Journal of Geophysical Research: Space Physics
Publisher: American Geophysical Union (AGU)
Volume: 128
Issue: 2
Issue Publication Date: February 1, 2023
ISSN: 2169-9380
e-ISSN: 2169-9402
DOI: 10.1029/2022ja030842
Funding Number(s)
funding: 2013433
funding: 80NSSC20K1779
Distribution Limits
Public
Keywords
space and planetary science
geophysics

Available Downloads

There are no available downloads for this record.

Related Records

There are no records associated with this record.
Document Not Available for PreviewClick to Access Document