@InProceedings{ChenDenResMorPic:2021:QuDaVa,
               author = "Chen, Sony Su and Denardini, Clezio Marcos and Resende, Laysa 
                         Cristina Ara{\'u}jo and Moro, Juliano 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)}",
                title = "Quiet daily variation model of the geomagnetic field over 
                         Cachoeira Paulista",
                 year = "2021",
         organization = "Simp{\'o}sio Brasileiro de Geof{\'{\i}}sica Espacial e 
                         Aeronomia, 8. (SBGEA)",
             abstract = "In the present work, we perform an empirical model of the 
                         geomagnetic field quiet daily variation from the years 2010 to 
                         2019 in Cachoeira Paulista (22.7oS, 45.0oW). We obtained the 
                         magnetic field data from the Brazilian Space Weather Program, 
                         called Embrace MagNet. Thus, we constructed a model to calculate 
                         the quiet daily variations of the geomagnetic field for each month 
                         in terms of the solar cycle, day of the year, and local time. The 
                         simulations have been compared with the observational data to 
                         validate this model in a low latitude station. The results show 
                         some discrepancies in some hours, but in most hours, we have a 
                         good agreement with the simulations and observational data. The 
                         model represents a high accuracy of the daily variation of the 
                         geomagnetic field, in which the correlation was 0.96. Thus, this 
                         model could be a potential tool for monitoring the geomagnetic 
                         field for space weather predictions.",
  conference-location = "Online",
      conference-year = "22-26 mar.",
             language = "en",
        urlaccessdate = "20 maio 2024"
}