Araújo, João Medeiros deSouza, Lidia Gabriela Rodrigues de2017-03-072017-03-072015-08-17SOUZA, Lidia Gabriela Rodrigues de. Estudo da variabilidade da precipitação das capitais do Nordeste do Brasil por meio de Transformada Wavelet. 2015. 60f. Dissertação (Mestrado em Ciências Climáticas) - Centro de Ciências Exatas e da Terra, Universidade Federal do Rio Grande do Norte, Natal, 2015.https://repositorio.ufrn.br/jspui/handle/123456789/22162The study about the climate change has been growing constantly over the past of the years, and the rainfall is one of the highlighted variables for this purpose. In this study the territorial dimension and existing physical-climatic distinctions between the states of Northeast Brazil (NEB) was taken into consideration. Indeed, the objective is to study the fluctuations in the rainfall of the NEB during the period of 1961-2010 taking as a reference the monthly average capital of the region. For this reason, initially the description of the meteorological rain generating systems in the region was made, and then the data was analyzed using descriptive statistics. Also, the nine states was divided in three homogeneous groups with the help of cluster analysis (cluster), so the time series could be observed. Based on these issues, the Wavelet Transform (WT) which presents itself as an effective tool in obtaining the periodic variability in a given time frame of meteorological elements was used to detect changes in the pattern of precipitation. The WT results are presented in order to verify the fluctuations of rainfall, the scale and the period for the capital of the NEB. Thus, it is possible to study the rainfall in the region using this tool. The WT results showed that Maceio, Salvador and Aracaju are cities with similar rainfall patterns as well as another group formed by João Pessoa, Natal and Recife. In addition, a third group consisting of Fortaleza, Teresina and São Luis have similar characteristics in rainfall patterns. In fact, these observations corroborate previous studies which show groups with high similarity. These results have importance in weather studies because they are obtained by a method that uses representations of time and frequency simultaneously and accurately. Furthermore, it allows the examination of any time series. Therefore, it is possible to study the precipitation of a time frame using WT.Acesso AbertoChuva do Nordeste do BrasilTransformadasWaveletmasterThesisCNPQ::CIENCIAS EXATAS E DA TERRA: CIÊNCIAS CLIMÁTICAS