Araújo, Jurema Maria SilvaMaia, Adelena GonçalvesNeves, Josemir Araújo2020-09-302020-09-302015ARAÚJO, J. M. S.; MAIA, A. G.; NEVES, J. A..Uso dos índices PCP e PCD na determinação de regiões com precipitação pluvial homogênea. Revista Brasileira de Climatologia, v. 17, p. 122-142, 2015. Disponível em: https://revistas.ufpr.br/revistaabclima/article/view/38903. Acesso em: 23 set. 2020. http://dx.doi.org/10.5380/abclima.v17i0.38903https://repositorio.ufrn.br/handle/123456789/30227The results of studies of delimitation of homogeneous areas of precipitation have been used in the planning of economic activities, enabling more efficient and rational use of water resources and also in regions with scarce rainfall data. The objective of the research is to determine homogeneous areas in terms of the precipitation regime of Rio Grande do Norte State (Brazil), from the cluster analysis and techniques: hierarchical (Ward) and non-hierarchical (k-means). It was found that the average annual precipitation and PCP and PCD indices were the most appropriate set of variables for determining the four homogeneous groups. The hierarchical and non-hierarchical techniques showed similar results, with only 5 seasons differ. The four homogenous groups identified have the following characteristics. The group identified in the eastern region of the state is characterized as the region of highest annual rainfall, better distribution of this precipitation and concentration of the precipitation in the month of May. In the region more the western state was identified a region that has the rainy season advance to the beginning of May, the lower annual rainfall and a higher concentration of precipitation. The central region of the state is characterized by having a high concentration of precipitation and an advance of rainfall for the period of April, in addition it is the region with the lowest annual rainfall. In the western state region the rains are concentrated in late March, the region has the worst distribution of rainfall in the state and the annual precipitation in this region are higher than in the central region.Attribution-NonCommercial 3.0 Brazilhttp://creativecommons.org/licenses/by-nc/3.0/br/Análise de agrupamentoÁreas homogêneasÍndices de variabilidadearticle10.5380/abclima.v17i0.38903