@InProceedings{SatoFerSilAveCoe:2011:CoEsPr,
               author = "Sato, Anderson Mululo and Ferreira, David La Croix and Silva, Ana 
                         Paula de Ara{\'u}jo and Avelar, Andr{\'e} de Souza and Coelho 
                         Netto, Ana Luiza",
          affiliation = "{Universidade Federal do Rio de Janeiro - UFRJ} and {Universidade 
                         Federal do Rio de Janeiro - UFRJ} and {Universidade Federal do Rio 
                         de Janeiro - UFRJ} and {Universidade Federal do Rio de Janeiro - 
                         UFRJ} and {Universidade Federal do Rio de Janeiro - UFRJ}",
                title = "Compara{\c{c}}{\~a}o da estimativa da precipita{\c{c}}{\~a}o 
                         dos produtos TRMM e dados de campo na bacia do rio Sesmaria e na 
                         cidade do Rio de Janeiro",
            booktitle = "Anais...",
                 year = "2011",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares",
                pages = "5132--5139",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 15. (SBSR).",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "TRMM, precipitation, Sesmaria basin, Tijuca massif, TRMM, 
                         precipita{\c{c}}{\~a}o, bacia do Sesmaria, maci{\c{c}}o da 
                         Tijuca.",
             abstract = "Rainfall estimation from remote sensing products has being used in 
                         many investigations, but there is a scarcity of studies that focus 
                         on this application in small drainage basins and for the 
                         description of extreme rainfall events. TRMM products were 
                         compared to field data to analyze the discrepancies from estimated 
                         to observed values using two temporal scales (monthly and twelve 
                         hours rainfall) at Sesmaria basin and Tijuca massif. Sesmaria 
                         basin has been studied since 2006 to understand the hydrological 
                         implications of eucalyptus plantations spread along middle 
                         Para{\'{\i}}ba do Sul river valley, and Tijuca massif is 
                         constantly a scene of extreme events in Rio de Janeiro, resulting 
                         in many material and human losses. Results showed that monthly 
                         TRMM data detected rainfall seasonal variations, but estimations 
                         were far from observed values, especially for the hilly lands of 
                         Sesmaria basin. Discrepancies in this situation could be related 
                         to the spatial resolution of TRMM data, which includes lots of 
                         geomorphological and rainfall variations in pixels cells. Analysis 
                         of an extreme event occurred in April 2010 at Rio de Janeiro using 
                         twelve hours data presented worse results, not detecting temporal 
                         variation neither rainfall volumes. In this case, TRMM data 
                         underestimated precipitation in 83%. We conclude that in our 
                         situation monthly TRMM data could be useful just to detect 
                         rainfall oscillation and not to infer rainfall volumes. For the 
                         description of an extreme event at Tijuca massif, TRMM did not 
                         presented satisfactory results. More studies are needed to reach a 
                         consensus on these conclusions.",
  conference-location = "Curitiba",
      conference-year = "30 abr. - 5 maio 2011",
                 isbn = "{978-85-17-00056-0 (Internet)} and {978-85-17-00057-7 (DVD)}",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "3ERPFQRTRW/3A58C7B",
                  url = "http://urlib.net/ibi/3ERPFQRTRW/3A58C7B",
           targetfile = "p0629.pdf",
                 type = "Meteorologia, Atmosfera e Agrometeorologia",
        urlaccessdate = "04 jun. 2024"
}