Using Principal Component Analysis of Satellite and Ground Magnetic Data to Model the Equatorial Electrojet and Derive Its Tidal Composition

Soares, Gabriel; Yamazaki, Yosuke; Morschhauser, Achim; Matzka, Jürgen; Pinheiro, Katia J.; Stolle, Claudia; Alken, Patrick; Yoshikawa, Akimasa; Hozumi, Kornyanat; Kulkarni, Atul; Supnithi, Pornchai

doi:10.1029/2022ja030691

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Using Principal Component Analysis of Satellite and Ground Magnetic Data to Model the Equatorial Electrojet and Derive Its Tidal Composition

2022
By Soares, Gabriel ; Yamazaki, Yosuke ; Morschhauser, Achim ; ...
Source: Journal of Geophysical Research: Space Physics, 127(9)

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Journal Title:

Journal of Geophysical Research: Space Physics
Personal Author:

Soares, Gabriel ; Yamazaki, Yosuke ; Morschhauser, Achim ; Matzka, Jürgen ; Pinheiro, Katia J. ; ... More +

Soares, Gabriel ; Yamazaki, Yosuke ; Morschhauser, Achim ; Matzka, Jürgen ; Pinheiro, Katia J. ; Stolle, Claudia ; Alken, Patrick ; Yoshikawa, Akimasa ; Hozumi, Kornyanat ; Kulkarni, Atul ; Supnithi, Pornchai Less -
NOAA Program & Office:

NESDIS (National Environmental Satellite, Data, and Information Service) ; CIRES (Cooperative Institute for Research in Environmental Sciences) ; NCEI (National Centers for Environmental Information)

NESDIS (National Environmental Satellite, Data, and Information Service) ; CIRES (Cooperative Institute for Research in Environmental Sciences) ; NCEI (National Centers for Environmental Information) Less -
Description:

The intensity of the equatorial electrojet (EEJ) shows temporal and spatial variability that is not yet fully understood nor accurately modeled. Atmospheric solar tides are among the main drivers of this variability but determining different tidal components and their respective time series is challenging. It requires good temporal and spatial coverage with observations, which, previously could only be achieved by accumulating data over many years. Here, we propose a new technique for modeling the EEJ based on principal component analysis (PCA) of a hybrid ground-satellite geomagnetic data set. The proposed PCA-based model (PCEEJ) represents the observed EEJ better than the climatological EEJM-2 model, especially when there
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Geophysics Space And Planetary Science
Source:

Journal of Geophysical Research: Space Physics, 127(9)
DOI:

https://doi.org/10.1029/2022ja030691
ISSN:

2169-9380;2169-9402;
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PDF
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American Geophysical Union (AGU)
Document Type:

Journal Article
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https://creativecommons.org/licenses/by/4.0/
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CC BY
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urn:sha256:d4d4fa4cae192ae25e3ed1ebf3ee7c0715fbbe680ffde6d3200edf4e506dcc20
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https://repository.library.noaa.gov/view/noaa/54724/noaa_54724_DS1.pdf
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