@InProceedings{AlmeidaFACAMMC:2021:CuStSo,
               author = "Almeida, Vin{\'{\i}}cius and Fran{\c{c}}a, Gutemberg and 
                         Albuquerque Neto, Francisco and Campos Velho, Haroldo Fraga de and 
                         Almeida, Manoel and Menezes, Wallace and Menegussi, Caroline and 
                         Cordeiro, Fabr{\'{\i}}cio",
          affiliation = "{Universidade Federal do Rio de Janeiro (UFRJ)} and {Universidade 
                         Federal do Rio de Janeiro (UFRJ)} and {Universidade Federal do Rio 
                         de Janeiro (UFRJ)} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)} and {Universidade Federal do Rio de Janeiro (UFRJ)} and 
                         {Universidade Federal do Rio de Janeiro (UFRJ)} and {Universidade 
                         Federal do Rio de Janeiro (UFRJ)} and {Universidade Federal do Rio 
                         de Janeiro (UFRJ)}",
                title = "Brazilian aviation nowcasting system: current stage and some 
                         results",
                 year = "2021",
         organization = "EGU General Assembly",
            publisher = "EGU",
             abstract = "Emphasizes some aspects of the aviation forecasting system under 
                         construction for use by the integrated meteorological center 
                         (CIMAER) in Brazil. It consists of a set of hybrid models based on 
                         determinism and machine learning that use remote sensing data 
                         (such as lighting sensor, SODAR, satellite and soon RADAR), in 
                         situ data (from the surface weather station and radiosonde) and 
                         aircraft data (such as retransmission of aircraft weather data and 
                         vertical acceleration). The idea is to gradually operationalize 
                         the system to assist CIMAERīs meteorologists in generating their 
                         nowcasting, for example, of visibility, ceiling, turbulence, 
                         convective weather, ice, etc. with objectivity and precision. Some 
                         test results of the developed nowcasting models are highlighted as 
                         examples of nowcasting namely: a) visibility and ceiling up to 1h 
                         for Santos Dumont airport; b) 6-8h convective weather forecast for 
                         the Rio de Janeiro area and the S{\~a}o Paulo-Rio de Janeiro 
                         route. Finally, the steps in development and the futures are 
                         superficially covered.",
  conference-location = "Online",
      conference-year = "19-30 apr.",
                  doi = "10.5194/egusphere-egu21-6609",
                  url = "http://dx.doi.org/10.5194/egusphere-egu21-6609",
             language = "en",
           targetfile = "EGU21-6609-print.pdf",
        urlaccessdate = "20 maio 2024"
}