@Article{SouzaVSTOSDSCSA:2022:ImRaDa,
               author = "Souza, Paulo Maur{\'{\i}}cio Moura de and Vendrasco, Eder Paulo 
                         and Saraiva, Ivan and Trindade, Maximiliano and Oliveira, Maria 
                         Bet{\^a}nia Leal de and Saraiva, Jaci and Dellarosa, Ricardo and 
                         Souza, Rodrigo Augusto Ferreira de and Candido, Luiz Antonio and 
                         Sapucci, Luiz Fernando and Andreoli, Rita Val{\'e}ria",
          affiliation = "{Instituto Nacional de Pesquisas da Amaz{\^o}nia (INPA)} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)} and {Centro 
                         Gestor e Operacional do Sistema de Prote{\c{c}}{\~a}o da 
                         Amaz{\^o}nia} and {Instituto Nacional de Pesquisas da 
                         Amaz{\^o}nia (INPA)} and {Universidade do Estado do Amazonas 
                         (UEA)} and {Centro Gestor e Operacional do Sistema de 
                         Prote{\c{c}}{\~a}o da Amaz{\^o}nia} and {Centro Gestor e 
                         Operacional do Sistema de Prote{\c{c}}{\~a}o da Amaz{\^o}nia} 
                         and {Universidade do Estado do Amazonas (UEA)} and {Instituto 
                         Nacional de Pesquisas da Amaz{\^o}nia (INPA)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Universidade do 
                         Estado do Amazonas (UEA)}",
                title = "Impact of radar data assimilation on the simulation of a heavy 
                         rainfall event over Manaus in the Central Amazon",
              journal = "Pure and Applied Geophysics",
                 year = "2022",
               volume = "179",
               number = "1",
                pages = "425--440",
                month = "Jan.",
             keywords = "Central Amazon, Data assimilation, meteorological radar, radial 
                         velocity, reflectivity, WRF 3D-Var.",
             abstract = "The aim of this study was to evaluate the impact of radar-detected 
                         radial velocity and reflectivity data assimilation (DA) on 
                         precipitation forecasts using the Weather Research and Forecasting 
                         (WRF) numerical model and its three-dimensional variational DA 
                         system (WRFDA-3DVAR). For this purpose, one heavy rain event in 
                         the city of Manaus in the Central Amazon on 25 December 2017 was 
                         analyzed. Numerical experiments were conducted using different 
                         initial conditions and both cyclical and non-cyclical assimilation 
                         processes. The evaluation of these experiments, conducted with and 
                         without radar DA, was based on comparisons between estimated radar 
                         precipitation and simulated precipitation. The results show that 
                         radial velocity plays a fundamental role in improving the 
                         representation of the convective system. Additionally, the best 
                         results were obtained when reflectivity was included alongside 
                         radial velocity in non-cyclical assimilation processes. Therefore, 
                         it can be concluded that the assimilation of radar data positively 
                         impacted the short-term forecast of precipitation associated with 
                         the studied convective system.",
                  doi = "10.1007/s00024-021-02901-0",
                  url = "http://dx.doi.org/10.1007/s00024-021-02901-0",
                 issn = "0033-4553",
             language = "en",
           targetfile = "Souza2022_Article_ImpactOfRadarDataAssimilationO.pdf",
        urlaccessdate = "2024, May 04"
}