Adjustments of probability distribution functions to maximum air temperature in Rio Grande do Sul State, Brazil
Keywords:
modelling, probability, risk reduction, thermal condition, Southern Brazil.Abstract
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.
Downloads
How to Cite
Issue
Section
License
The authors declare that the work has not been previously published, nor sent simultaneously for publication in another journal and that they agree with the submission, content and transfer of the publication rights of the article in question to the scientific journal Pesquisa Agropecuária Gaúcha - PAG. The authors assume full responsibility for the originality of the article, and may incur on them any charges arising from claims by third parties in relation to the authorship of the article. The full reproduction of the journal's articles in other free-to-use electronic media is permitted under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International license.
