@Article{ChenDRCMSCP:2021:InUnSo,
               author = "Chen, Sony Su and Denardini, Clezio Marcos and Resende, Laysa 
                         Cristina Ara{\'u}jo and Chagas, Ronan Arraes Jardim and Moro, 
                         Juliano and Silva, R{\'e}gia Pereira da and Carmo, Carolina de 
                         Sousa do and Pican{\c{c}}o, Giorgio Arlan da Silva",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)} and {Instituto Nacional de Pesquisas Espaciais (INPE)} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)}",
                title = "Influence of the uncertainties in the Solar Quiet Reference Field 
                         (SQRF) model for deriving geomagnetic indices over South America",
              journal = "Journal of Atmospheric and Solar-Terrestrial Physics",
                 year = "2021",
               volume = "219",
                pages = "e105645",
                month = "Aug.",
             keywords = "Sq variation, Empirical model, Geomagnetic indices ,Space 
                         weather.",
             abstract = "In this work, we present the uncertainties of the empirical model 
                         developed to predict the solar quiet regular daily field variation 
                         (Sq) over the Brazilian sector called the Solar Quiet Reference 
                         Field (SQRF) model. The SQRF is based on the magnetic station 
                         records from the Embrace Magnetometer Network (Embrace MagNet) 
                         during the solar cycle 24. Although the prediction and the 
                         magnetic field records have a good agreement, we observe that each 
                         magnetic station shows a random error behavior, propagating small 
                         errors in the model. Also, some physical aspects, as tidal winds 
                         and ionospheric conductivity, may have influenced our predictions. 
                         Thus, these uncertainties in the Sq field can propagate errors and 
                         influence geomagnetic indices' calculation by erroneously scaling 
                         the geomagnetic disturbances. In this context, we introduce a new 
                         approach to derive a real-time geomagnetic index based on the SQRF 
                         model for the Sq-H field over the South American sector. We 
                         analyze one geomagnetic storm event to show that the results have 
                         a good representation of the geomagnetic indices. Finally, this 
                         analysis yields a new approach to derive the geomagnetic index for 
                         space weather applications and studies that requires an Sq field 
                         prediction.",
                  doi = "10.1016/j.jastp.2021.105645",
                  url = "http://dx.doi.org/10.1016/j.jastp.2021.105645",
                 issn = "1364-6826",
             language = "en",
           targetfile = "chen_influence.pdf",
        urlaccessdate = "01 maio 2024"
}