@InProceedings{InouyeGNDHCMBVG:2017:ImRaDa,
               author = "Inouye, Rafael Toshio and Gon{\c{c}}alves, J. E. and Neundorf, R. 
                         L. and Diniz, F{\'a}bio Luiz Rodrigues and Herdies, Dirceu Luis 
                         and Calvetti, Leonardo and Maske, Bianca B. and Beneti, Cesar and 
                         Vendrasco, {\'E}der Paulo and Gon{\c{c}}alves, Luis Gustavo 
                         Gon{\c{c}}alves de",
          affiliation = "{Instituto Tecnol{\'o}gico SIMEPAR} and {} and {} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {Instituto Tecnol{\'o}gico 
                         SIMEPAR} and {} and {Instituto Tecnol{\'o}gico SIMEPAR} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)}",
                title = "Impact of radar data assimilation on a severe storm study in 
                         Brazil",
                 year = "2017",
         organization = "American Meteorological Society Annual Meeting, 97.",
             abstract = "The west of Parana state of Brazil is a region which has a 
                         propitious environment to develop severe weather conditions with 
                         strong winds, heavy rainfall, lightning and flooding due to the 
                         influences of low level jets that bring humidity from tropical 
                         region, mainly. Every year wind gusts cause damages on many high 
                         structures such as power transmission lines and towers. To measure 
                         these severe weather conditions, the Paran{\'a} Meteorological 
                         System (SIMEPAR) operates a dual polarization S-Band weather radar 
                         in Cascavel city and since December 2015 a series of anemometers 
                         were installed in four energy towers within the weather radar 
                         range to study the behaviour of wind gusts around and in these 
                         structures. On July 13th, 2016 at 00 UTC was reported that a 
                         transmission tower was toppled by wind. A sonic anemometer near 
                         the tower at 44m high recorded a gust of 32m/s. To understanding 
                         the thermodynamics of the storm it had been run simulations with 
                         WRF numerical model at a high-resolution framework. This study 
                         used the model Weather Research Forecasting (WRF) with four nested 
                         grids 9, 3, 1 and 0.33 km horizontal resolution centered on the 
                         radar site. It was used the GFS external boundary conditions that 
                         run with 0.25 degree horizontal resolution. The simulations were 
                         set with Lin et al. microphysics, RRTM for longwave radiation, 
                         Dhudia shortwave radiation scheme and surface physics of Revised 
                         Monin-Obukhov scheme. This set of physics parameterizations was 
                         chosen among four other based on a previous study on february 
                         18th, 2016. The assimilation was performed over the 0.33km and 1km 
                         grids only. Nested feedback carried out information throughout the 
                         domain. While the model without assimilation was not able to 
                         generate the convection as observed with radar data, the 
                         high-resolution simulation with radar data assimilation yield a 
                         development of the convection cells compared to the observations, 
                         although in some areas the reflectivity simulated were 
                         overestimated. The spatial distribution of reflectivity, and the 
                         magnitude of the wind forecasted by the model were similar to 
                         those observed, although the reflectivity amplitude were again 
                         overestimated in some areas. These preliminary results encourage 
                         further investigations in radar data assimilation for short-range 
                         forecast. Quality control is a major issue that should be 
                         investigated thoroughly, and in particular when regarding radial 
                         velocity. Using polarimetric variables can improve the quality 
                         control and is already in the process of analysis of this project. 
                         The simulations show encourageous results to improve model skill 
                         in short-range forecasts (about 1 hour) by assimilation of radar 
                         reflectivity, radial velocity along with automatic surface 
                         meteorological stations.",
  conference-location = "Seattle",
      conference-year = "21-26 jan.",
             language = "en",
           targetfile = "inouye_impact-compactado.pdf",
        urlaccessdate = "27 abr. 2024"
}