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\begin{document}

\title{Comparison of the performance of PCA-NN and PCA-MRM models for TEC over
the Iberian Peninsula}



\author[1]{Anna Morozova}%
\author[1]{Teresa Barata}%
\author[1]{Tatiana Barlyaeva}%
\affil[1]{University of Coimbra}%


\vspace{-1em}



  
  \date{June 14, 2024}


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\begin{abstract}
The total electron content (TEC) over the Iberian Peninsula was modeled
using a PCA-based models based on the decomposition of the observed TEC
series using the principal component analysis (PCA) and reconstruction
of the daily modes' amplitudes either by a multiple linear regression
model (MRM) or neural networks (NN) using several types of space weather
parameters as regressors/predictors: proxies for the solar UV and XR
fluxes, number of the solar flares of different types, parameters of the
solar wind and of the interplanetary magnetic field, and geomagnetic
indices. Lags of 1 and 2 days between the TEC and space weather
parameters are used. The general performance of the PCA-MRM and PCA-NN
models is tested for different months and in different space weather
conditions.%
\end{abstract}%



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