@Article{RochaJúniorSiCoGoHeSiXa:2019:AnSpTr,
               author = "Rocha J{\'u}nior, Rodrigo Lins da and Silva, Fabr{\'{\i}}cio 
                         Daniel dos Santos and Costa, Rafaela Lisboa and Gomes, 
                         Heliof{\'a}bio Barros and Herdies, Dirceu Luis and Silva, Vicente 
                         de Paulo Rodrigues da and Xavier, Alexandre Candido",
          affiliation = "{} and {Universidade Federal de Alagoas (UFAL)} and {Universidade 
                         Federal de Alagoas (UFAL)} and {Universidade Federal de Alagoas 
                         (UFAL)} and {Instituto Nacional de Pesquisas Espaciais (INPE)} and 
                         {Universidade Federal de Campina Grande (UFCG)} and {Universidade 
                         Federal do Esp{\'{\i}}rito Santo (UFES)}",
                title = "Analysis of the space-temporal trends of wet conditions in the 
                         different rainy seasons of brazilian northeast by quantile 
                         regression and bootstrap test",
              journal = "Geosciences",
                 year = "2019",
               volume = "9",
               number = "11",
                pages = "457",
             keywords = "standardized precipitation evapotranspiration index, 
                         meteorological drought analysis, quantile trends, bootstrap 
                         test.",
             abstract = "Drought causes serious social and environmental problems that have 
                         great impact on the lives of thousands of people all around the 
                         world. The purpose of this research was to investigate the trends 
                         in humid conditions in the northeast of Brazil (NEB) in the 
                         highest climatic precipitation quarters, NovemberDecemberJanuary 
                         (NDJ), FebruaryMarchApril (FMA), and MayJuneJuly (MJJ), through 
                         the standardized precipitation and evapotranspiration index 
                         (SPEI), considering an alternative statistical approach. 
                         Precipitation and potential evapotranspiration (PET) time series 
                         for the calculation of the SPEI were extracted for the 1794 NEB 
                         municipalities between 1980 and 2015 from a grid dataset with a 
                         resolution of 0.25\◦ × 0.25\◦ using the bilinear 
                         interpolation method. The trends and statistical significance of 
                         the SPEI were estimated by quantile regression (QR) and the 
                         bootstrap test. In NDJ, opposite trends were seen in the eastern 
                         NEB (~0.5 SPEI/decade) and in the south (~\−0.6 
                         SPEI/decade). In FMA, most of NEB presented negative trends in the 
                         0.50 and 0.95 quantiles (~\−0.3 SPEI/decade), while in MJJ, 
                         most of NEB presented positive trends in all quantiles studied 
                         (~0.4 SPEI/decade). The results are consistent with observational 
                         analyses of extreme rainfall.",
                  doi = "10.3390/geosciences9110457",
                  url = "http://dx.doi.org/10.3390/geosciences9110457",
                 issn = "2076-3263",
                label = "lattes: 3752951275341381 5 
                         RochaJ{\'u}niorSaLiBaHeRoCa:2019:AnSpTr",
             language = "en",
           targetfile = "rocha_analysis.pdf",
        urlaccessdate = "23 abr. 2024"
}