@InProceedings{RosalesRochJunq:2018:SpVaWr,
               author = "Rosales, Alan Garc{\'{\i}}a and Rocha, Rosmeri Porfirio Da and 
                         Junquas, Clementine",
                title = "Spatio-temporal variability of wrf precipitation associated with 
                         the regional and local circulation in the tropical andes (rio 
                         santa basin, peru)",
            booktitle = "Anais...",
                 year = "2018",
               editor = "Herdies, Dirceu Luis and Coelho, Simone Marilene Sievert da 
                         Costa",
         organization = "Encontro dos alunos de p{\'o}s-gradua{\c{c}}{\~a}o em 
                         meteorologia do CPTEC/INPE, 17. (EPGMET)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "WRF, Amazon, ERA5.",
             abstract = "The estimation of precipitation in Tropical Andes is challenging 
                         for the low temporal scale of satellite data and the limited 
                         number of in-situ measurements. The precipitations patterns in the 
                         Tropical Andes region is important especially in the Santa Basin 
                         where the agriculture, hydrology, and glacier formation are 
                         strongly influence for this variable. The precipitation 
                         variability over the basin is associated with the large-scale 
                         circulation that establish the climatological conditions in the 
                         summer of Tropical South American. Satellite (product 3B42 of 
                         Tropical Rainfall Measuring Mission), in-situ observations and 
                         atmospheric model outputs (WRF-Weather Research and Forecasting), 
                         are compared for one month to evaluate the temporal and spatial 
                         distribution of precipitation that is the main objective. ERA5 
                         reanalysis data is used to drive one domain with a horizontal grid 
                         size 5km. ERA5 data with 30km of horizontal grid size allow 
                         getting high-resolution simulation without applying nesting in the 
                         WRF which is convenient to computational cost. In addition, 
                         different parameterization schemes are applying to the simulations 
                         to evaluate the differences of each other. WRF simulations 
                         overestimate the precipitation while reproducing correctly the 
                         longitudinal precipitation patterns between the Amazon, convective 
                         rainfall over the Andes and dry conditions in the coast in Peru. 
                         The precipitation is more intense over the basin valley during the 
                         night by the influence of east flux that transports the moisture 
                         from the Amazon. The intensification of this flux is associated to 
                         the presence of strong northerly winds in the east side of the 
                         Andes. The study demonstrates that different experiments show 
                         different patterns of large-scale circulation that is strongly 
                         associated with the adequate simulation of the precipitation 
                         diurnal cycle in the basin by the model. The presence by Goddard 
                         (microphysics), Betts-Miller-Janjic (cumulus parameterization) and 
                         MellorYamadaNakanishiNiino Level 2(planetary boundary layer) 
                         improve considerably the simulation of the precipitation diurnal 
                         cycle, representing more parallel winds in the east of the Andes. 
                         In contrast, the other experiments simulate perpendicular winds to 
                         the east side of the Andes, showing the maxima precipitation many 
                         hours late compared to observations by meteorological stations.",
  conference-location = "Cachoeira Paulista",
      conference-year = "22-26 out. 2018",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGPDW34R/3SR2BA5",
                  url = "http://urlib.net/ibi/8JMKD3MGPDW34R/3SR2BA5",
           targetfile = "MG2-12.pdf",
                 type = "Modelagem Geral",
        urlaccessdate = "19 maio 2024"
}