@InProceedings{VasconcellosGonçPont:2023:AnDeUt,
               author = "Vasconcellos, Fl{\'a}via Helena Manh{\~a}es and 
                         Gon{\c{c}}alves, Rodrigo Mikosz and Pontes, Julia Isabel",
          affiliation = "{Universidade Federal de Pernambuco (UFPE)} and {Universidade 
                         Federal de Pernambuco (UFPE)} and {Universidade Federal de 
                         Pernambuco (UFPE)}",
                title = "Precipita{\c{c}}{\~a}o no Estado de Pernambuco (1998-2020): 
                         an{\'a}lise descritiva utilizando os sensores TRMM e GPM",
            booktitle = "Anais...",
                 year = "2023",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de and Sanches, Ieda DelArco",
                pages = "e156300",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 20. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "Precipita{\c{c}}{\~a}o, TRMM (Tropical Rainfall Measuring 
                         Mission), GPM (Global Precipitation Measurement), 
                         Esta{\c{c}}{\~o}es pluviom{\'e}tricas, Precipitation, TRMM 
                         (Tropical Rainfall Measuring Mission), GPM (Global Precipitation 
                         Measurement), Gauges.",
             abstract = "A precipita{\c{c}}{\~a}o {\'e} considerada um elemento 
                         fundamental no ciclo hidrol{\'o}gico, pois {\'e} atrav{\'e}s 
                         dela que {\'e} feita a recarga h{\'{\i}}drica nas bacias e nas 
                         reservas subterr{\^a}neas. O presente trabalho teve como objetivo 
                         caracterizar as s{\'e}ries temporais de precipita{\c{c}}{\~a}o 
                         m{\'e}dia mensais a partir dos dados multi-sat{\'e}lites (TRMM e 
                         GPM) e esta{\c{c}}{\~o}es pluviom{\'e}tricas 
                         distribu{\'{\i}}das nas mesorregi{\~o}es do Estado de 
                         Pernambuco, bem como obter estat{\'{\i}}sticas descritivas de 
                         precipita{\c{c}}{\~a}o anual. Os principais resultados das 
                         analises estat{\'{\i}}sticas s{\~a}o: valores extremos 
                         m{\'e}dios anuais da precipita{\c{c}}{\~a}o: metropolitana do 
                         Recife (m{\'a}x = 195 mm/ano, m{\'{\i}}n = 61 mm/ano), mata 
                         Pernambucana (m{\'a}x = 172 mm/ano, m{\'{\i}}n = 56 mm/ano), 
                         Agreste (m{\'a}x = 111 mm/ano, m{\'{\i}}n = 30 mm/ano), 
                         sert{\~a}o (m{\'a}x = 90 mm/ano, m{\'{\i}}n = (21 mm/ano), 
                         S{\~a}o Francisco (m{\'a}x = 68 mm/ano, m{\'{\i}}n = 16 
                         mm/ano). A evolu{\c{c}}{\~a}o temporal e espacial da 
                         precipita{\c{c}}{\~a}o m{\'e}dia anual mostra 3 regi{\~o}es 
                         homog{\^e}neas: costa de Pernambuco (metropolitana e mata), zona 
                         de transi{\c{c}}{\~a}o (agreste) e semi-{\'a}rido (sert{\~a}o 
                         e s{\~a}o francisco). ABSTRACT: Precipitation is considered a 
                         fundamental element in the hydrological cycle, as it is through it 
                         that water recharge is carried out in basins and underground 
                         reserves. The present work aimed to characterize the time series 
                         of monthly average precipitation from multi-satellite data (TRMM 
                         and GPM) and rainfall stations distributed in the mesoregions of 
                         the State of Pernambuco, as well as to obtain descriptive 
                         statistics of annual precipitation. The main results of the 
                         statistical analysis are: extreme annual average values of 
                         precipitation: Metropolitana do Recife (max = 195 mm/year, min = 
                         61 mm/year), Mata Pernambucana (max = 172 mm/year, min = 56 
                         mm/year), Agreste (max = 111 mm/year, min = 30 mm/year), 
                         Sert{\~a}o (max = 90 mm/year, min = (21 mm/year), S{\~a}o 
                         Francisco (max = 68 mm/year, min = 16 mm/year). The temporal and 
                         spatial evolution of the average annual precipitation shows 3 
                         homogeneous regions: Pernambuco coast (Metropolitana and Mata), 
                         transition zone (Agreste), semi-arid (Sert{\~a}o and S{\~a}o 
                         francisco).",
  conference-location = "Florian{\'o}polis",
      conference-year = "02-05 abril 2023",
                 isbn = "978-65-89159-04-9",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/495H83S",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/495H83S",
           targetfile = "156300.pdf",
                 type = "An{\'a}lise de s{\'e}ries temporais de imagens de 
                         sat{\'e}lite",
        urlaccessdate = "10 maio 2024"
}