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Monitoring Space Weather: Using Automated, Accurate Neural Network Based Whistler Segmentation for W...

Monitoring Space Weather: Using Automated, Accurate Neural Network Based Whistler Segmentation for W...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_eda0965c6ea3475f8ec4a5d62ee4fc7a

Monitoring Space Weather: Using Automated, Accurate Neural Network Based Whistler Segmentation for Whistler Inversion

About this item

Full title

Monitoring Space Weather: Using Automated, Accurate Neural Network Based Whistler Segmentation for Whistler Inversion

Publisher

Washington: John Wiley & Sons, Inc

Journal title

Space Weather, 2022-02, Vol.20 (2), p.n/a

Language

English

Formats

Publication information

Publisher

Washington: John Wiley & Sons, Inc

More information

Scope and Contents

Contents

It is challenging, yet important, to measure the—ever‐changing—cold electron density in the plasmasphere. The cold electron density inside and outside of the plasmapause is a key parameter for radiation belt dynamics. One indirect measurement is through finding the velocity dispersion relation exhibited by lightning induced whistlers. The main diff...

Alternative Titles

Full title

Monitoring Space Weather: Using Automated, Accurate Neural Network Based Whistler Segmentation for Whistler Inversion

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_eda0965c6ea3475f8ec4a5d62ee4fc7a

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_eda0965c6ea3475f8ec4a5d62ee4fc7a

Other Identifiers

ISSN

1542-7390,1539-4964

E-ISSN

1542-7390

DOI

10.1029/2021SW002981

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