In this work the average behavior of minimum and maximum temperatures for the state of Santa Catarina, before and during snowfall events, from 1979 to 2015, was analysed. To accomplish this study, have been employed minima and maxima temperature data from conventional meteorological stations which were provided by the Centro de Informações de Recursos Ambientais eHidrológicos de Santa Catarina (Ciram), linked to the Empresa de Pesquisa Agropecuária e Extensão Rural de Santa Catarina (Epagri). In general, a sharp decreses in temperatures from day D - 1 (the day before the snow event) to day D + 0 (day of snowfall) is observed.
Os episódios de neve foram subdivididos em três grupos de acordo com a altitude da região. A análise das espessuras apresentou valores maiores que os esperados para o Hemisfério Norte. Adicionalmente, a análise do conteúdo integrado de vapor d'água e campos de temperatura e umidade relativa na baixa troposfera, mostrou que a camada atmosférica com condições favoráveis à produção de neve na região sul do Brasil é relativamente rasa, ficando abaixo dos 850 hPa. Além disso, os valores limiares de espessura para a ocorrência de neve no sul do Brasil são da ordem de 133 dam para a camada 850-1000 hPa, sendo este valor consideravelmente maior que o documentado para a América do Norte, ressaltando o papel desempenhado pelo efeito orográfico local em criar as condições favoráveis para a ocorrência de neve no Brasil.
In this work we used two boundary layer schemes to reproduce numerically a persistent fog event in Santa Maria, Rio Grande do Sul. The model employed was WRF using, as initial and boundary conditions, GFS data. The boundary layer employed schemes were the Mellor-Yamada-Janic (MYJ) and Yonsei University (YSU). Generally, boundary layer overestimate of wind speed values schemes 10m and represent relatively well temperature. However, the relative humidity does not represent the fog condition, not reaching saturation in some cases. When saturation is achieved the same if not properly maintained during the occurrence of the event.
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