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@Article{GuarnieriTsViHaEcMaGo:2018:CoStRe,
               author = "Guarnieri, Fernando L. and Tsurutani, Bruce T. and Vieira, 
                         Lu{\'{\i}}s Eduardo Antunes and Hajra, Rajkumar and Echer, 
                         Ezequiel and Mannucci, Anthony J. and Gonzalez Alarcon, Walter 
                         Dem{\'e}trio",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {California 
                         Institute of Technology} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)} and {Instituto Nacional de Pesquisas Espaciais (INPE)} and 
                         {California Institute of Technology} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)}",
                title = "A correlation study regarding the AE index and ACE solar wind data 
                         for Alfv{\'e}nic intervals using wavelet decomposition and 
                         reconstruction",
              journal = "Nonlinear Processes in Geophysics",
                 year = "2018",
               volume = "25",
                pages = "67--76",
             abstract = "The purpose of this study is to present a wavelet interactive 
                         filtering and reconstruction technique and apply this to the solar 
                         wind magnetic field components detected at the L1 Lagrange point 
                         \∼ 0.01 AU upstream of the Earth. These filtered 
                         interplanetary magnetic field (IMF) data are fed into a model to 
                         calculate a time series which we call AE\∗ . This model was 
                         adjusted assuming that magnetic reconnection associated with 
                         southward-directed IMF Bz is the main mechanism transferring 
                         energy into the magnetosphere. The calculated AE\∗ was 
                         compared to the observed AE (auroral electrojet) index using 
                         cross-correlation analysis. The results show correlations as high 
                         as 0.90. Empirical removal of the high-frequency, short-wavelength 
                         Alfv{\'e}nic component in the IMF by wavelet decomposition is 
                         shown to dramatically improve the correlation between AE\∗ 
                         and the observed AE index. It is envisioned that this AE\∗ 
                         can be used as the main input for a model to forecast relativistic 
                         electrons in the Earths outer radiation belts, which are delayed 
                         by \∼ 1 to 2 days from intense AE events.",
                  doi = "10.5194/npg-25-67-2018",
                  url = "http://dx.doi.org/10.5194/npg-25-67-2018",
                 issn = "1023-5809",
                label = "self-archiving-INPE-MCTIC-GOV-BR",
             language = "en",
           targetfile = "guarnieri_correlation.pdf",
        urlaccessdate = "24 nov. 2020"
}


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