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Using principal component analysis of satellite and ground magnetic data to model the equatorial electrojet and derive its tidal composition

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Soares,  Gabriel Brando
2.3 Geomagnetism, 2.0 Geophysics, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

Yamazaki,  Yosuke
External Organizations;

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Morschhauser,  Achim
2.3 Geomagnetism, 2.0 Geophysics, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

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Matzka,  J.
2.3 Geomagnetism, 2.0 Geophysics, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

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Pinheiro,  Katia
2.3 Geomagnetism, 2.0 Geophysics, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

Stolle,  Claudia
External Organizations;

Alken,  Patrick
External Organizations;

Yoshikawa,  Akimasa
External Organizations;

Hozumi,  Kornyanat
External Organizations;

Kulkarni,  Atul
External Organizations;

Supnithi,  Pornchai
External Organizations;

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5013252.pdf
(Verlagsversion), 11MB

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Zitation

Soares, G. B., Yamazaki, Y., Morschhauser, A., Matzka, J., Pinheiro, K., Stolle, C., Alken, P., Yoshikawa, A., Hozumi, K., Kulkarni, A., Supnithi, P. (2022): Using principal component analysis of satellite and ground magnetic data to model the equatorial electrojet and derive its tidal composition. - Journal of Geophysical Research: Space Physics, 127, 9, e2022JA030691.
https://doi.org/10.1029/2022JA030691


Zitierlink: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5013252
Zusammenfassung
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 is good local-time separation among the satellites involved. The amplitudes of various solar tidal modes are determined from PCEEJ based tidal equation fitting. This allows to evaluate inter- and intra-annual changes of solar tidal signatures in the EEJ. On average, the obtained time series of migrating and non-migrating tides agree with the average climatology available from earlier work. A comparison of tidal signatures in the EEJ with tides derived from neutral atmosphere temperature observations show a remarkable correlation for non-migrating tides such as DE3, DE2, DE4 and SW4. The results indicate that it is possible to obtain a meaningful EEJ spectrum related to solar tides for a relatively short time interval of 70 days.