@InProceedings{HernándezBanosSapHuGeMay:2022:AsDaAs,
               author = "Hern{\'a}ndez Banos, Ivette and Sapucci, Luiz Fernando and Hu, 
                         Ming and Ge, G. and Mayfield, Will",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {National Oceanic and 
                         Atmospheric Administration (NOAA)} and {National Oceanic and 
                         Atmospheric Administration (NOAA)} and {National Center for 
                         Atmospheric Research (NCAR)}",
                title = "Assessing the Data Assimilation Capability of the Prototype Rapid 
                         Refresh Forecast System to Represent an Amazonian Squall Line",
                 year = "2022",
         organization = "American Meteorological Society Annual Meeting, 102.",
            publisher = "AMS",
             abstract = "Clusters of convective clouds organized in the form of lines which 
                         develop along the coastline of northern South America and 
                         propagate across the Amazonian basin are known as Amazon coastal 
                         squall lines. Amazon coastal squall lines have been studied in 
                         many researches by using data such as ar temperature, dew point 
                         temperature, pressure, wind velocity and direction from 
                         radiosondes; reflectivity and radial wind from radars; 
                         precipitable water vapor derived from the ground based Global 
                         Positioning System (GPS); and satellite imagery. Some studies have 
                         also used numerical models to simulate the development and 
                         propagation of these systems, and recently some have advanced to 
                         data assimilation applications. However, much of the ground-base 
                         available data comes from field campaigns held in the Amazon. 
                         Therefore, numerical modeling studies simulating an operational 
                         framework are challenging and not many studies are found in the 
                         literature. This study aims to investigate the impact of 
                         assimilating all available data in a 3 hourly cycling 
                         configuration in the representation of Amazon coastal squall 
                         lines, by conducting Observing System Experiments using the 
                         prototype Rapid Refresh Forecast System coupled to the Gridpoint 
                         Statistical Interpolation system. A 3 km grid-length covering 
                         northern South America is used and the case of squall line 
                         occurred on July 5, 2020 is studied. Results are promising 
                         considering the available data for this domain and will be 
                         presented during the conference.",
  conference-location = "Houston, Texas",
      conference-year = "23-27 jan. 2022",
             language = "en",
        urlaccessdate = "19 maio 2024"
}