@Article{LemosCFTBMRFA:2023:InLaSu,
               author = "Lemos, Filipe C. and Coelho, Victor Hugo R. and Freitas, Emerson 
                         da S. and Tomasella, Javier and Bertrand, Guillaume F. and Meira, 
                         Marcela A. and Ramos Filho, Geraldo M. and Fullhart, Andrew and 
                         Almeida, Cristiano das N.",
          affiliation = "{Universidade Federal da Para{\'{\i}}ba (UFPB)} and 
                         {Universidade Federal da Para{\'{\i}}ba (UFPB)} and Instituto 
                         Federal de Educa{\c{c}}{\~a}o, Ci{\^e}ncia e Tecnologia da 
                         Para{\'{\i}}ba (IFPB) and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)} and {Universidade Federal da Para{\'{\i}}ba 
                         (UFPB)} and {Universidade Federal da Para{\'{\i}}ba (UFPB)} and 
                         {Universidade Federal da Para{\'{\i}}ba (UFPB)} and {USDA ARS 
                         Southwest Watershed Research Center} and {Universidade Federal da 
                         Para{\'{\i}}ba (UFPB)}",
                title = "Spatiotemporal distribution of precipitation and its 
                         characteristics under tropical atmospheric systems of Brazil: 
                         Insights from a large sub-hourly database",
              journal = "Hydrological Processes",
                 year = "2023",
               volume = "37",
               number = "11",
                pages = "e15017",
                month = "Nov.",
             keywords = "hydroclimate, minimum inter-event time, rainfall events, rainfall 
                         patterns.",
             abstract = "The study of rainfall properties at various spatiotemporal scales 
                         is deeply important for understanding a large range of 
                         socio-environmental processes and variables (e.g., water 
                         resources, agriculture, socio-ecosystemic services, natural risk 
                         assessment). However, such studies on rainfall characteristics, 
                         especially at sub-hourly resolutions, are scarce in large areas of 
                         South America due to the lack of a high-resolution temporal 
                         database. The Brazilian National Centre for Monitoring and Early 
                         Warning of Natural Disasters (CEMADEN) has gradually implemented, 
                         starting in 2013, a sub-hourly monitoring network composed of 
                         approximately 3500 automated rain gauges distributed across 
                         Brazil, enabling access to new hydrological studies in this vast 
                         tropical country featuring a range of biomes. This study analysed 
                         the characteristics of rainfall events for the whole of Brazil on 
                         sub-daily and sub-hourly timescales, using 7 years of data (from 
                         2014 to 2021) provided by CEMADEN. Rainfall events were defined by 
                         the minimum inter-event time (MIT) and the minimum depth (1 mm). 
                         Seven MITs (30, 60, 120, 180, 360, 720, and 1440 min) were 
                         considered to evaluate the behaviour of rainfall event 
                         characteristics and their relationships. The Gaussian mixture 
                         model method was applied to identify regions with similar rainfall 
                         patterns according to the MIT. Six groups with homogeneous 
                         characteristics were identified, evidencing the climatic diversity 
                         of Brazil. The results show that the MIT strongly influences 
                         precipitation properties (especially the dry time and the number 
                         of events). The highest number of events occurred in the 
                         North-east Coast region, which exceeded 200 events per year (MIT < 
                         60 min), while the lowest number of events was observed in the 
                         Semiarid region, which reached only 38 events per year with an MIT 
                         of 1440 min. Moreover, the events with the highest rainfall 
                         intensities were found in the Central region. The results found in 
                         this study provide a better understanding of precipitation and its 
                         characteristics in Brazil, highlighting the climatological 
                         diversity of this country.",
                  doi = "10.1002/hyp.15017",
                  url = "http://dx.doi.org/10.1002/hyp.15017",
                 issn = "0885-6087",
             language = "en",
           targetfile = "Hydrological Processes - 2023 - Lemos - Spatiotemporal 
                         distribution of precipitation and its characteristics under 
                         tropical.pdf",
        urlaccessdate = "20 maio 2024"
}