@InProceedings{AraujoBritMendCint:2018:SeTeSe,
               author = "Araujo, Glicia Ruth Garcia De and Brito Neto, Francisco Agustinho 
                         De and Mendes, David and Cintra, M{\'a}rcio Machado",
                title = "Sensitivity test for sea ice thickness simulated by punctual model 
                         on the weddell sea",
            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 = "Weddell Sea, Model, Balance Energy.",
             abstract = "In a basic definition, the sea ice is resulted from the freezing 
                         of the sea water. The growth is ruled by the energy balance on the 
                         upper and lower surfaces of the sea ice. The freezing and melting 
                         dynamics occurs with heat transfering throughout the mass of ice 
                         from its center towards surface.Therefore, the numerical models 
                         standing for the Sea Ice Thickness represent the ice column 
                         divided in several layers, in order to calculate the thermal 
                         conductivity between those layers. The objective of this study is 
                         to identify the maximum number of layers required to represent the 
                         Sea Ice Thickness in the Southern Ocean. The study area is on the 
                         Weddell Sea (WS), located between latitudes 83°S/55°S and 
                         longitudes 84°W/10°E. The simulations of Sea Ice Thickness, Snow 
                         Thickness and Air Temperature were performed in 2009 to 2017 for 
                         two distinct points on the WS, being the first denominated PT1 
                         (classified as undefined, because of the presence or absence of 
                         ice depending on the time of year in which data were acquired) and 
                         Gekstaller (classified as permanent ice layer). For each point 20 
                         simulations were realized. Daily flows, named Latent Heat, 
                         Sensitive Heat, Long Wave Radiation, Shortwave Radiation and 
                         Albedo from the National Centers for Environmental Prediction 
                         (NCEP), were used as input data. In PT1 a greater variation in 
                         radioactive closure was observed , and larger changes in Sea Ice 
                         Thickness in relation to the point Gekstaller. In all PT1 layers, 
                         high values of Snow Thickness, mainly in layers 1, 2, 3 and 4, 
                         were obtained in the first years of. The model represented 
                         reasonably well the Air Temperature in the two selected points, 
                         being, the temperatures between 0 and -40°C in the Gekstaller 
                         station, whereas they varied between 0 and -30°C in the PT1, as 
                         this location is in higher latitudes. In addition, the model was 
                         able to represent the seasonality of temperature in the simulated 
                         points. The layer 1 in PT1 obtained lower Air Temperature values 
                         in relation to the other layers, which led to a greater Sea Ice 
                         Thickness in layer 1. As main conclusion, the punctual model 
                         showed stability, with no great variations in the Sea Ice 
                         Thickness in the five layers. At the Gekstaller point, which is 
                         characterized by a permanent ice layer, the simulations did not 
                         show great changes in the Sea Ice Thickness. This occurs because 
                         snow serves as an insulator, as indicated by the melting rate in 
                         this this region lower than the deposition rate.",
  conference-location = "Cachoeira Paulista",
      conference-year = "22-26 out. 2018",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGPDW34R/3SR2AAE",
                  url = "http://urlib.net/ibi/8JMKD3MGPDW34R/3SR2AAE",
           targetfile = "MG2-10.pdf",
                 type = "Modelagem Geral",
        urlaccessdate = "08 maio 2024"
}