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@InProceedings{NotoKeKaRiMiSoBr:2018:ReObNe,
               author = "Noto, John and Kerr, Robert and Kapali, Sudha and Riccobono, 
                         Juanita and Migliozzi, Michael A. and Souza, Jonas Rodrigues de 
                         and Brum, Christiano Garnett Marques",
          affiliation = "{Computational Physics Inc. Springfield} and {Computational 
                         Physics Inc. Springfield} and {Computational Physics Inc. 
                         Springfield} and {Computational Physics Inc. Springfield} and 
                         {Computational Physics Inc. Springfield} and {Instituto Nacional 
                         de Pesquisas Espaciais (INPE)} and {SRI International Menlo 
                         Park}",
                title = "Recent observations of neutral winds in Brazil",
                 year = "2018",
         organization = "AGU Fall Meeting",
             abstract = "Data from two new Fabry-Perot Doppler Imagers recently installed 
                         in Brazil for the Brazilian space agency, INPE, are released and 
                         described. These represent a novel implementation of 
                         instrumentation remotely measuring winds and temperatures of the 
                         neutral atmosphere at thermospheric altitudes. Incorporating 
                         recent optical manufacturing developments, modern network 
                         awareness and the application of machine learning techniques for 
                         intelligent self-monitoring and data classification, this class of 
                         instruments is prepared to provide the neutral wind and 
                         temperature context for proper physics-based Space Weather 
                         nowcasting and forecasting. These new Fabry-Perot systems achieve 
                         high precision measurements of neutral winds and temperatures, 
                         with high data collection rates using internet aware, cloud-based 
                         analysis and operations. Cost savings in manufacturing, deployment 
                         and lifetime operating costs have been achieved allowing for 
                         deployment in remote locations. This disruptive technology will 
                         allow computer models of ionospheric variability and storm-time 
                         response to operate with higher precision. Other sensors, imagers, 
                         photometers, ionosondes, and MF radars can be folded into the data 
                         collection and analysis architecture, easily creating autonomous 
                         virtual observatories. The prototype version of this sensor has 
                         recently been deployed in Trivandrum India for the Indian 
                         Government. Arrays of magnetometers have been deployed for the 
                         last 20 years [Alabi, 2005]. Other examples of ground based arrays 
                         include an array of white-light all sky imagers (THEMIS) deployed 
                         across Canada [Donovan et al., 2006], oceans sensors on buoys 
                         [McPhaden et al., 2010], and arrays of seismic sensors [Schweitzer 
                         et al., 2002]. A comparable array of Doppler imagers and related 
                         space weather sensors can be constructed and deployed on the 
                         ground, complementing existing networks and increasing the overall 
                         amount of data available for space weather prediction.",
  conference-location = "Washington, D. C.",
      conference-year = "10-14 dec.",
             language = "en",
           targetfile = "NotoAgu2018.pdf",
        urlaccessdate = "05 dez. 2020"
}


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