Adjustments of probability distribution functions to maximum air temperature in Rio Grande do Sul State, Brazil

• Autor(a) principal: Filho, Alberto Cargnelutti
• Data de Publicação: 2008
• Outros Autores: Matzenauer, Ronaldo, Trindade, Júlio Kuhn
• Tipo de documento: Artigo
• Idioma: por
• Título da fonte: Pesquisa Agropecuária Gaúcha (Online)
• Texto Completo: http://revistapag.agricultura.rs.gov.br/ojs/index.php/revistapag/article/view/234
• topic: modelling, probability, risk reduction, thermal condition, Southern Brazil.; modelagem, probabilidade, redução de riscos, regime térmico, sul do Brasil.

The objective of this work was to verify the adjustment of data series for maximum air temperature average for ten days-period to the probability distribution functions normal, log-normal, gamma, gumbel and weibull. Data were collected from twenty three cities in Rio Grande do Sul State, Brazil. The Kolmogorov-Smirnov test was applied to the 828 series of data (23 localites x 36 periods of ten days) of maximum air temperature average for ten days-period to verify the adjustment of the data to the probability distributions normal, log-normal, gamma, gumbel and weibull, totalizing 4,140 tests. The data maximum air temperature average for ten days-period adjusted to the probability distributions functions normal, log-normal, gamma, gumbel and weibull, and present a better adjustment to the normal probability function.