M
María Paula Natali
Researcher at National University of La Plata
Publications - 21
Citations - 186
María Paula Natali is an academic researcher from National University of La Plata. The author has contributed to research in topics: Total electron content & Earth's magnetic field. The author has an hindex of 8, co-authored 21 publications receiving 158 citations. Previous affiliations of María Paula Natali include National Scientific and Technical Research Council.
Papers
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Journal ArticleDOI
Multi-year GNSS monitoring of atmospheric IWV over Central and South America for climate studies
Clara Bianchi,Clara Bianchi,Luciano Pedro Oscar Mendoza,Luciano Pedro Oscar Mendoza,Laura Fernández,Laura Fernández,María Paula Natali,María Paula Natali,Amalia Meza,Amalia Meza,Juan Moirano +10 more
TL;DR: In this paper, the authors performed a regional, 7-year-long and homogeneous analysis, comprising 136 ground-based global navigation satellite system (GNSS) tracking stations, obtaining high-rate and continuous observations of column-integrated water vapour and troposphere zenith total delay.
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Annual and semiannual variations of vertical total electron content during high solar activity based on GPS observations
TL;DR: In this article, the authors used Global IGS VTEC maps and principal component analysis to study spatial and temporal ionospheric variability at two-hour periods, at noon and at night.
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Estimation of precipitable water vapour from GPS measurements in Argentina: Validation and qualitative analysis of results
Laura Fernández,Laura Fernández,P. Salio,María Paula Natali,María Paula Natali,Amalia Meza,Amalia Meza +6 more
TL;DR: In this paper, the authors presented PWV estimates from GPS data computed at four continuously operated GPS stations in Argentina established at Buenos Aires, Cordoba, Rosario and Salta over a 1 year period (2006-2007).
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Analysis of the winter and semiannual ionospheric anomalies in 1999–2009 based on GPS global International GNSS Service maps
TL;DR: In this article, the analysis of seasonal and semiannual ionospheric anomalies using vertical total electron content (VTEC) measurements obtained by the International GNSS Service (IGS) is focused on the analysis using principal component analysis (PCA) and wavelet transform (WT).
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Comparison of adaptive neuro-fuzzy inference system and recurrent neural network in vertical total electron content forecasting
Dinibel Perez Bello,Dinibel Perez Bello,María Paula Natali,María Paula Natali,Amalia Meza,Amalia Meza +5 more
TL;DR: A comparison between two different artificial neural networks: an adaptive neuro-fuzzy inference system and nonlinear autoregressive neural network applied to TEC shows NAR-NN shows a slightly better performance, being the higher difference during the greater perturbations.