@Article{KlausnerLaOjMaCâPrCe:2021:PrCoAn,
               author = "Klausner, Virginia and Lamin, Isabelle Cristine Pellegrini Lamin 
                         and Ojeda-Gonz{\'a}alez, Arian and Macedo, Humberto Gimenes and 
                         C{\^a}ndido, Claudia Maria Nicoli and Prestes, Alan and Cezarini, 
                         Marina Vedelago",
          affiliation = "{Universidade do Vale do Para{\'{\i}}ba (UNIVAP)} and 
                         {Universidade do Vale do Para{\'{\i}}ba (UNIVAP)} and 
                         {Universidade do Vale do Para{\'{\i}}ba (UNIVAP)} and 
                         {Universidade do Vale do Para{\'{\i}}ba (UNIVAP)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Universidade do Vale 
                         do Para{\'{\i}}ba (UNIVAP)} and {Universidade do Vale do 
                         Para{\'{\i}}ba (UNIVAP)}",
                title = "Principal component analysis in the modeling of HILDCAAs during 
                         the Solar Minimum of Cycle 23/24",
              journal = "Journal of Atmospheric and Solar-Terrestrial Physics",
                 year = "2021",
               volume = "213",
                pages = "e105516",
                month = "Feb.",
             keywords = "HILDCAA, Principal component analysis (PCA), Alfv{\'e}nicity, 
                         Solar minimum of cycle 23/24, CIRs.",
             abstract = "In this article, we propose a new approach to model the 
                         high-intensity, long-duration, continuous AE (Auroral Electrojet) 
                         activity (HILDCAA) by relaxing one of the criteria originally 
                         designed, based on the interplanetary features during the unusual 
                         Solar Minimum of Cycle 23/24 (SMC23/24). This relaxation does not 
                         intend to suppress or modify the original HILDCAAs conception, but 
                         propose a new view of the same phenomena by enlarging the sample 
                         of events, which in turn may improve space weather monitoring and 
                         prediction programs. To assess and classify the Alfv{\'e}nity 
                         associated with HILDCAAs, the values of 4h-Windowed Pearson 
                         Cross-Correlation (4WPCC) between the IMF components and the solar 
                         wind speed components observed in situ at the Lagrangian point L1 
                         (1 AU) were evaluated. The principal component analysis (PCA) was 
                         performed on the dataset and, from the first three principal 
                         components, which represent ~65% of the accumulative percent 
                         variance, we applied principal component regression (PCR) in each 
                         of the following parameters: the AE index, the Interplanetary 
                         Magnetic Field (IMF) components, the plasma density, the solar 
                         wind speed, the temperature, the IMF magnitude, and the SYM-H 
                         geomagnetic index. Furthermore, we applied Multiple Linear 
                         Regression (MLR) to establish a linear model to express the AE 
                         index in terms of the PCR-based model parameters. The AE MLR-based 
                         model demonstrated to hold a prognosis potential for HILDCAAs. 
                         Despite that, this model is only suitable for the SMC23/24. In 
                         this sense, this model might be implemented a real-time analysis 
                         for short-term HILDCAA prognosis in the near future.",
                  doi = "10.1016/j.jastp.2020.105516",
                  url = "http://dx.doi.org/10.1016/j.jastp.2020.105516",
                 issn = "1364-6826",
             language = "en",
           targetfile = "klausner_principal.pdf",
        urlaccessdate = "11 maio 2024"
}