@Article{LyraOlivZeri:2014:ClAnAp,
               author = "Lyra, G. B. and Oliveira-J{\'u}nior, J. F. and Zeri, Luis Marcelo 
                         de Mattos",
          affiliation = "{Universidade Federal Rural do Rio de Janeiro (UFRRJ)} and 
                         {Universidade Federal Rural do Rio de Janeiro (UFRRJ)} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Cluster analysis applied to the spatial and temporal variability 
                         of monthly rainfall in Alagoas state, Northeast of Brazil",
              journal = "International Journal of Climatology",
                 year = "2014",
               volume = "34",
               number = "13",
                pages = "3546--3558",
             keywords = "Arid regions, Cluster analysis, Clustering algorithms, Rain, 
                         Annual precipitation, Different time scale, Hier-archical 
                         clustering, Intertropical convergence zone, Intra-annual 
                         variability, Orographic rainfalls, Spatial and temporal 
                         variability, Weather systems, Precipitation (meteorology).",
             abstract = "Rainfall over the northeast part of Brazil is highly influenced by 
                         several weather systems such as trade winds, the Intertropical 
                         Convergence Zone, Easterly Wave Disturbances, Bolivia High and 
                         Atlantic Sub-tropical Anticyclone. The objectives of this work 
                         were to identify, using cluster analysis, spatial and temporal 
                         rainfall patterns for the northeastern Brazilian state of Alagoas, 
                         and to relate those patterns with the weather systems that occur 
                         over that region, which is the most populated area of semiarid 
                         climate in the world. The dataset consists of 30-years long time 
                         series of rainfall from 36 stations located on the state. 
                         Hierarchical clustering using Ward's algorithm was used to 
                         classify the sites into five groups. The stations were grouped 
                         according to the distance to the coast and orography. Rainfall is 
                         not uniformly distributed in space and time in all regions, such 
                         as in two groups within the arid zone, where more than 60% of 
                         annual precipitation occurs in a period of 5 months (March to 
                         July). Rainfall was highest in the coastal regions and over areas 
                         of the state with high altitude, due to orographic rainfall. 
                         Overall, rainfall over the state of Alagoas is characterized by 
                         strong gradients from the coast to the continent and from north to 
                         south due to the physiography of the region and the influence of 
                         weather systems with different time scales.",
                  doi = "10.1002/joc.3926",
                  url = "http://dx.doi.org/10.1002/joc.3926",
                 issn = "0899-8418",
                label = "scopus 2015-01 LyraOlivZeri:2014:ClAnAp",
             language = "en",
        urlaccessdate = "27 abr. 2024"
}