31 citations · 48 across the 12 of their papers we have counts for
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PCA-MRM model to forecast TEC at middle latitudes
Anna L. Morozova, Teresa Barata, Tatiana Barlyaeva
The total electron content (TEC) over the Iberian Peninsula was modelled using PCA-MRM models based on decomposition of the observed TEC series using the principal component analys…
Principal component analysis as a tool to extract Sq variation from the geomagnetic field observations: conditions of applicability
Anna Morozova, Rania Rebbah
In this paper, we analyze the applicability of the principal component analysis (PCA) as a tool to extract the Sq variation of the geomagnetic field. We tested different geomagneti…
Comparison of the solar variations of the geomagnetic field at the Coimbra Magnetic Observatory (COI) obtained by different methods: effect of the solar and geomagnetic activity
Anna Morozova, Rania Rebbah
Here we present the results of the comparative analysis of the regular daily variations of the geomagnetic field, Sq and SD, obtained from the observations with two methods: (1) us…
Datasets of the solar quiet (Sq) and solar disturbed (SD) variations of the geomagnetic field from the mid latitudinal Magnetic Observatory of Coimbra (Portugal) obtained by different methods
Anna Morozova, Rania Rebbah, Paulo Ribeiro
Here we present datasets of daily variation obtained from the geomagnetic field raw observations recorded at the Coimbra Magnetic Observatory (COI, Portugal) in 2007-2017, covering…
Variations of TEC over Iberian Peninsula in 2015 due to geomagnetic storms and solar flares
Anna L. Morozova, Tatiana V. Barlyaeva, Teresa Barata
The total ionospheric content (TEC) over the Iberian Peninsula was studied using data from two locations obtained both by GNSS receivers and an ionosonde. The principal component a…
Variability modes in core flows inverted from geomagnetic field models
Alexandra Pais, Anna Morozova, Nathanaël Schaeffer
The flow of liquid metal inside the Earth's core produces the geomagnetic field and its time variations. Understanding the variability of those deep currents is crucial to improve…