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@Article{LimaSPBARAD:2014:CoAnTh,
               author = "Lima, G. R. T. De and Stephany, Stephan and Paula, Eurico 
                         Rodrigues de and Batista, Inez Staciarini and Abdu, M. A. and 
                         Rezende, Luiz Felipe Campos de and Aquino, Maria Goreti dos Santos 
                         and Dutra, A. P. S.",
          affiliation = "{} and {Instituto Nacional de Pesquisas Espaciais (INPE)} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)}",
                title = "Correlation analysis between the occurrence of ionospheric 
                         scintillation at the magnetic equator and at the southern peak of 
                         the Equatorial Ionization Anomaly",
              journal = "Space Weather",
                 year = "2014",
               volume = "12",
               number = "6",
                pages = "406--416",
                month = "June",
             abstract = "Ionospheric scintillation refers to amplitude and phase 
                         fluctuations in radio signals due to electron density 
                         irregularities associated to structures named ionospheric plasma 
                         bubbles. The phenomenon is more pronounced around the magnetic 
                         equator where, after sunset, plasma bubbles of varying sizes and 
                         density depletions are generated by plasma instability mechanisms. 
                         The bubble depletions are aligned along Earth's magnetic field 
                         lines, and they develop vertically upward over the magnetic 
                         equator so that their extremities extend in latitude to north and 
                         south of the dip equator. Over Brazil, developing bubbles can 
                         extend to the southern peak of the Equatorial Ionization Anomaly, 
                         where high levels of ionospheric scintillation are common. 
                         Scintillation may seriously affect satellite navigation systems, 
                         such as the Global Navigation Satellite Systems. However, its 
                         effects may be mitigated by using a predictive model derived from 
                         a collection of extended databases on scintillation and its 
                         associated variables. This work proposes the use of a 
                         classification and regression decision tree to perform a study on 
                         the correlation between the occurrence of scintillation at the 
                         magnetic equator and that at the southern peak of the equatorial 
                         anomaly. Due to limited size of the original database, a novel 
                         resampling heuristic was applied to generate new training 
                         instances from the original ones in order to improve the accuracy 
                         of the decision tree. The correlation analysis presented in this 
                         work may serve as a starting point for the eventual development of 
                         a predictive model suitable for operational use. Key Points 
                         Analyzes correlation between scintillation occurrence at different 
                         stations Includes the selection of attributes for the proposed 
                         correlation analysis Employs decision tree to analyze the 
                         correlation of scintillation occurrences 2014. American 
                         Geophysical Union. All Rights Reserved.",
                  doi = "10.1002/2014SW001041",
                  url = "http://dx.doi.org/10.1002/2014SW001041",
                 issn = "1542-7390",
                label = "scopus 2014-11 LimaSPBARAD:2014:CoAnTh",
             language = "en",
           targetfile = "swe20153lima.pdf",
        urlaccessdate = "29 nov. 2020"
}


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