@Article{ChenDRCMSCP:2021:EvSoQu,
               author = "Chen, Sony Su and Denardini, Clezio Marcos and Resende, La{\'y}sa 
                         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 = "Evaluation of the Solar Quiet Reference Field (SQRF) model for 
                         space weather applications in the South America Magnetic Anomaly",
              journal = "Earth, Planets and Space",
                 year = "2021",
               volume = "73",
               number = "1",
                pages = "e61",
                month = "Dec.",
             keywords = "Geomagnetic quiet daily feld variation, Space weather, Predicting, 
                         Empirical mode.",
             abstract = "In the present work, we evaluate the accuracy of the Solar Quiet 
                         Reference Field (SQRF) model for estimating and predicting the 
                         geomagnetic solar quiet (Sq) daily field variation in the South 
                         America Magnetic Anomaly (SAMA) region. This model is based on the 
                         data set of fluxgate magnetometers from 12 magnetic stations of 
                         the Embrace Magnetometer Network (Embrace MagNet) from 2010 to 
                         2018. The model predicts the monthly average horizontal field of 
                         the geomagnetic quiet (Sq-H) daily variation solving a set of 
                         equations for the specified geographic coordinates in terms of the 
                         solar cycle activity, the day of the year, and the universal time. 
                         We carried out two comparisons between the prediction and 
                         observational data of the Sq-H field. The first part attempts to 
                         evaluate the accuracy for estimating the Sq-H field over 
                         Medianeira (MED, 25.30° S, 54.11° W, dip angle: \− 33.45°) 
                         by using linear interpolation on the SQRF coefficients and 
                         comparing it with the data collected from April to December in 
                         2018. None of the datasets collected at MED is part of the dataset 
                         used to build the SQRF model. The second part of the analysis 
                         attempts to evaluate the accuracy for predicting the quiet daily 
                         field variation over Cachoeira Paulista (CXP, 22.70° S, 45.01° W, 
                         dip angle: \− 38.48°). The dataset collected at CXP before 
                         the period analyzed in the present work is part of the dataset 
                         used to build the SQRF model. Thus, the prediction accuracy is 
                         tested using magnetic data outside the time interval considered in 
                         the model. The prediction results for both locations show that 
                         this empirical models outputs present a good agreement with the 
                         Sq-H field obtained from the ground-based magnetometer 
                         measurements. The accuracy of the SQRF model (high correlation, r 
                         > 0.9) indicates a high potential for estimating and predicting 
                         geomagnetic quiet daily field variation. Concerning space weather 
                         applications, the model improves the scientific insight and 
                         capability of space weather prediction centers to predict the 
                         variability of the regular solar quiet field variation as 
                         reference conditions, which may include areas with no 
                         measurements.",
                  doi = "10.1186/s40623-021-01382-8",
                  url = "http://dx.doi.org/10.1186/s40623-021-01382-8",
                 issn = "1343-8832",
             language = "en",
           targetfile = "chen_evaluation.pdf",
        urlaccessdate = "16 maio 2024"
}