Distribution and probability of rainfall occurrence in Cáceres, Mato Grosso state, Brazil
Rainfall is an important meteorological element, and the knowledge on its historical records is relevant for monitoring the impacts caused by its prolonged excess or lack. This study aimed to evaluate the monthly and annual rainfall variability and the probability for its occurrence, by using the in...
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Universidade Federal de Goiás
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doaj-98bb72489ecc4ade9fa19efd60fed94a2020-11-24T22:17:48ZengUniversidade Federal de Goiás Pesquisa Agropecuária Tropical1983-40632012-06-0142213714210.1590/S1983-40632012000200006Distribution and probability of rainfall occurrence in Cáceres, Mato Grosso state, BrazilJaqueline Aguilla Pizzato0Rivanildo Dallacort1Rafael César Tieppo2Alcir José Modolo3Cassiano Cremon4Patrícia Simone Palhana Moreira5Universidade do Estado de Mato Grosso, Departamento de Agronomia, Tangará da Serra, MT, Brasil.Universidade do Estado de Mato Grosso, Departamento de Agronomia, Tangará da Serra, MT, Brasil.Universidade do Estado de Mato Grosso, Departamento de Agronomia, Tangará da Serra, MT, Brasil.Universidade Federal Tecnológica do Paraná, Campus de Pato Branco, Pato Branco, PR, Brasil.Universidade do Estado de Mato Grosso, Departamento de Agronomia, Tangará da Serra, MT, Brasil.Universidade do Estado de Mato Grosso, Departamento de Agronomia, Tangará da Serra, MT, Brasil.Rainfall is an important meteorological element, and the knowledge on its historical records is relevant for monitoring the impacts caused by its prolonged excess or lack. This study aimed to evaluate the monthly and annual rainfall variability and the probability for its occurrence, by using the incomplete Gamma distribution model, for the rainfall data from Cáceres, Mato Grosso State, Brazil. A series of 26 years data, provided by the National Institute of Meteorology, which supports a station in Cáceres, was used. The annual rainfall amounts showed great variability, with minimum of 972.9 mm, in 1985, and maximum of 1,624.1 mm, in 1998. The monthly data pointed out two well defined seasons: the dry season (May to September) and the rainy one (October to April). The lowest monthly averages occurred in June, July, and August, with 16.59 mm, 17.90 mm, and 20.09 mm, respectively. The estimates for the α parameter ranged from 0.9, in June and August, to 13.4, in March. The β parameter ranged from 13.2, in March, to 33.1, in January. The highest rainfall probability takes place from December to March, while June, July, and August show the lowest rainfall probability.https://www.revistas.ufg.br/pat/article/view/14144Incomplete Gamma functionclimatemeteorology |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jaqueline Aguilla Pizzato Rivanildo Dallacort Rafael César Tieppo Alcir José Modolo Cassiano Cremon Patrícia Simone Palhana Moreira |
spellingShingle |
Jaqueline Aguilla Pizzato Rivanildo Dallacort Rafael César Tieppo Alcir José Modolo Cassiano Cremon Patrícia Simone Palhana Moreira Distribution and probability of rainfall occurrence in Cáceres, Mato Grosso state, Brazil Pesquisa Agropecuária Tropical Incomplete Gamma function climate meteorology |
author_facet |
Jaqueline Aguilla Pizzato Rivanildo Dallacort Rafael César Tieppo Alcir José Modolo Cassiano Cremon Patrícia Simone Palhana Moreira |
author_sort |
Jaqueline Aguilla Pizzato |
title |
Distribution and probability of rainfall occurrence in Cáceres, Mato Grosso state, Brazil |
title_short |
Distribution and probability of rainfall occurrence in Cáceres, Mato Grosso state, Brazil |
title_full |
Distribution and probability of rainfall occurrence in Cáceres, Mato Grosso state, Brazil |
title_fullStr |
Distribution and probability of rainfall occurrence in Cáceres, Mato Grosso state, Brazil |
title_full_unstemmed |
Distribution and probability of rainfall occurrence in Cáceres, Mato Grosso state, Brazil |
title_sort |
distribution and probability of rainfall occurrence in cáceres, mato grosso state, brazil |
publisher |
Universidade Federal de Goiás |
series |
Pesquisa Agropecuária Tropical |
issn |
1983-4063 |
publishDate |
2012-06-01 |
description |
Rainfall is an important meteorological element, and the knowledge on its historical records is relevant for monitoring the impacts caused by its prolonged excess or lack. This study aimed to evaluate the monthly and annual rainfall variability and the probability for its occurrence, by using the incomplete Gamma distribution model, for the rainfall data from Cáceres, Mato Grosso State, Brazil. A series of 26 years data, provided by the National Institute of Meteorology, which supports a station in Cáceres, was used. The annual rainfall amounts showed great variability, with minimum of 972.9 mm, in 1985, and maximum of 1,624.1 mm, in 1998. The monthly data pointed out two well defined seasons: the dry season (May to September) and the rainy one (October to April). The lowest monthly averages occurred in June, July, and August, with 16.59 mm, 17.90 mm, and 20.09 mm, respectively. The estimates for the α parameter ranged from 0.9, in June and August, to 13.4, in March. The β parameter ranged from 13.2, in March, to 33.1, in January. The highest rainfall probability takes place from December to March, while June, July, and August show the lowest rainfall probability. |
topic |
Incomplete Gamma function climate meteorology |
url |
https://www.revistas.ufg.br/pat/article/view/14144 |
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