Probable monthly rainfall associated with distinct biomes of Mato Grosso do Sul state


  • Paulo Eduardo Teodoro Universidade Federal de Viçosa
  • Carlos Antonio da Silva Junior Universidade do Estado do Mato Grosso
  • José Francisco Oliveira-Junior Universidade Federal de Alagoas
  • Rafael Coll Delgado Universidade Federal Rural do Rio de Janeiro
  • Givanildo de Gois Universidade Federal Rural do Rio de Janeiro
  • Caio Cezar Guedes Correa Universidade Estadual do Norte Fluminense
  • Francisco Eduardo Torres Universidade Estadual de Mato Grosso do Sul



Atlantic Forest, Swamp, Brazilian Savanna, Normal distribution.


The aim of this study was to determine the probable monthly rainfall for the state of Mato Grosso do Sul, considering the level of 75% probability, and study the spatial distribution associated with its different biomes. The rainfall data of 32 stations (sites) in the state of Mato Grosso do Sul were collected in the period 1954-2013. In each of the 384 series, the average monthly rainfall was calculated, for at least 30 years of observation. The Kolmogorov-Smirnov adhesion test was applied to the rainfall time series to check the fit of the data to a normal distribution. The likely fallout was estimated at 75% probability, using the normal probability distribution and, subsequently, it was adopted the method of Ordinary Kriging interpolation mathematics to spatial data. Based on the likely monthly precipitation estimated, the State of Mato Grosso do Sul possess three distinct periods, with the precipitation associated with different biomes: the rainy season (between the months November to March, where increased precipitation occurred in the Savanna biome), dry season (between the months from June to August, when the highest rainfall occurred in the Atlantic Forest) and transition period (April and May and September and October).


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How to Cite

TEODORO, P.E., SILVA JUNIOR, C.A. da, OLIVEIRA-JUNIOR, J.F., DELGADO, R.C., GOIS, G. de, CORREA, C.C.G. and TORRES, F.E., 2017. Probable monthly rainfall associated with distinct biomes of Mato Grosso do Sul state . Bioscience Journal [online], vol. 33, no. 3, pp. 747–753. [Accessed6 December 2022]. DOI 10.14393/BJ-v33n3-34944. Available from:



Biological Sciences