@Article{AmorimLucSilRodBri:2020:ReAnTe,
               author = "Amorim, Ana Cleide Bezerra and Lucio, Paulo S{\'e}rgio and Silva, 
                         Cl{\'a}udio Mois{\'e}s Santos e and Rodrigues, Daniele 
                         T{\^o}rres and Brito Neto, Francisco Agustinho",
          affiliation = "{Universidade Federal do Rio Grande do Norte (UFRN)} and 
                         {Universidade Federal do Rio Grande do Norte (UFRN)} and 
                         {Universidade Federal do Rio Grande do Norte (UFRN)} and 
                         {Universidade Federal do Piau{\'{\i}} (UFPI)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)}",
                title = "Regionaliza{\c{c}}{\~a}o e an{\'a}lise da tend{\^e}ncia da 
                         precipita{\c{c}}{\~a}o do Rio Grande do Norte associados a 
                         padr{\~o}es de TSM",
              journal = "Revista Brasileira de Meteorologia",
                 year = "2020",
               volume = "35",
               number = "2",
                pages = "269--280",
                month = "abr./jun.",
             keywords = "Mann-Kendall, Pettitt, tend{\^e}ncia positiva, 
                         esta{\c{c}}{\~a}o chuvosa, Mann-Kendall, Pettitt, positive 
                         trend, rainy season.",
             abstract = "A precipita{\c{c}}{\~a}o apresenta elevada variabilidade 
                         espacial e temporal, a exemplo do Nordeste do (NEB), que {\'e} 
                         caracterizado por longos per{\'{\i}}odos de secas e por 
                         epis{\'o}dios de chuva excessiva, que interferem no gerenciamento 
                         de recursos h{\'{\i}}dricos. Especificamente o Estado do Rio 
                         Grande do Norte (RN), localizado na regi{\~a}o oriental do NEB, a 
                         esta{\c{c}}{\~a}o chuvosa ocorre em dois per{\'{\i}}odos. 
                         Neste contexto, o objetivo principal deste estudo {\'e} definir 
                         {\'a}reas homog{\^e}neas de precipita{\c{c}}{\~a}o (AHP) do 
                         Estado do RN, investigar tend{\^e}ncias lineares e 
                         mudan{\c{c}}as em que as mesmas ocorreram na esta{\c{c}}{\~a}o 
                         chuvosa. Utilizaram-se acumulados de precipita{\c{c}}{\~a}o da 
                         quarta vers{\~a}o do produto da Universidade de Delaware para o 
                         per{\'{\i}}odo de 1900 a 2014. Para identificar as AHP 
                         utilizou-se a an{\'a}lise de agrupamento. As tend{\^e}ncias 
                         foram estimadas pelo teste de Mann-Kendall. As quebras de 
                         estrutura, pelo m{\'e}todo de Pettit. Os resultados indicam 
                         tr{\^e}s AHP: Oeste, Serid{\'o} e Litoral. A esta{\c{c}}{\~a}o 
                         chuvosa no Oeste e Serid{\'o} concentra-se entre fevereiro a 
                         maio; no Litoral, entre abril e julho. As tend{\^e}ncias s{\~a}o 
                         identificadas apenas no Litoral com valor-p < 0,05, um aumento em 
                         sua m{\'e}dia foi observado a partir de 1964 e isso, 
                         aparentemente, est{\'a} associada aos modos de variabilidade do 
                         Atl{\^a}ntico. ABSTRACT: Precipitation presents high spatial and 
                         temporal variability, as in Northeast Brazil (NEB), which is 
                         characterized by long periods of droughts and episodes of 
                         excessive precipitation, which influences the water resources 
                         management. Specifically, Rio Grande do Norte (RN) state located 
                         in the eastern of NEB, the rainy season occurs in two periods. In 
                         this context, the main objective of this study is to define 
                         homogeneous areas of precipitation (HAPs) in the RN state to 
                         investigate linear trends and changes in which they occurred in 
                         the rainy season. It was used the accumulated precipitation from 
                         the fourth version of data from the University of Delaware, for 
                         the period 1900 to 2014. To identify the HAPs was used the cluster 
                         analysis. Trends were estimated by the Mann-Kendall test. The 
                         structural breaks was made by the Pettitt method. The results 
                         indicate three HAPs in the RN state: West, Serid{\'o} and Coast. 
                         The rainy season in the West and Serid{\'o} is concentrated 
                         between February and May; on the coast, between April and July. 
                         Trends are identified only on the coast with p-value < 0.05, an 
                         increase in their mean was observed from 1964 and this is 
                         apparently associated with the modes of Atlantic variability.",
                  doi = "10.1590/0102-7786352024",
                  url = "http://dx.doi.org/10.1590/0102-7786352024",
                 issn = "0102-7786",
             language = "en",
           targetfile = "Amorim_regionalizacao.pdf",
        urlaccessdate = "20 maio 2024"
}