@Article{MiguelRenn:2020:VaEsPr,
               author = "Miguel, B{\'a}rbara Hass and Renn{\'o}, Camilo Daleles",
          affiliation = "{Universidade de Bras{\'{\i}}lia (UnB)} and {Instituto Nacional 
                         de Pesquisas Espaciais (INPE)}",
                title = "Valida{\c{c}}{\~a}o de estimativas de precipita{\c{c}}{\~a}o 
                         por radar meteorol{\'o}gico em uma bacia hidrol{\'o}gica na 
                         regi{\~a}o central do estado de S{\~a}o Paulo, Brasil",
              journal = "Anu{\'a}rio do Instituto de Geoci{\^e}ncias",
                 year = "2020",
               volume = "43",
               number = "2",
                pages = "325--339",
             keywords = "Chuva, Drenagem, Pluvi{\^o}metros, Rainfall, Drainage, Rain 
                         gauges.",
             abstract = "O objetivo do presente trabalho foi validar as estimativas de 
                         precipita{\c{c}}{\~a}o do radar meteorol{\'o}gico do Centro de 
                         Meteorologia de Bauru (IPMet/UNESP) para a bacia hidrogr{\'a}fica 
                         do Rio Jacar{\'e} Gua{\c{c}}u, localizada na regi{\~a}o central 
                         do Estado de S{\~a}o Paulo/Brasil. Para isso, foram utilizados 
                         dados de 2013 de 18 esta{\c{c}}{\~o}es pluviom{\'e}tricas. A 
                         quantifica{\c{c}}{\~a}o da precipita{\c{c}}{\~a}o da bacia foi 
                         realizada atrav{\'e}s dos pol{\'{\i}}gonos de Thiessen. Para a 
                         valida{\c{c}}{\~a}o do radar, foram testadas 3 
                         rela{\c{c}}{\~o}es Z-R: Calheiros, Jones e Marshall-Palmer. Os 
                         melhores resultados da valida{\c{c}}{\~a}o foram obtidos por 
                         Marshall-Palmer. Para o ajuste dos dados subestimados do radar 
                         meteorol{\'o}gico, utilizou-se um m{\'e}todo de 
                         otimiza{\c{c}}{\~a}o nos dados das esta{\c{c}}{\~o}es, 
                         encontrando o fator de corre{\c{c}}{\~a}o de 3,135. Ap{\'o}s o 
                         ajuste, observou-se uma semelhan{\c{c}}a entre a m{\'e}dia da 
                         precipita{\c{c}}{\~a}o observada pelos pluvi{\^o}metros e a 
                         precipita{\c{c}}{\~a}o estimada pelo radar. Sem as devidas 
                         corre{\c{c}}{\~o}es, a chuva acumulada em 2013 na bacia 
                         hidrogr{\'a}fica de acordo com os pluvi{\^o}metros foi de 
                         1252,26 mm, enquanto que as obtidas pelas rela{\c{c}}{\~o}es Z-R 
                         de Calheiros, Jones e Marshall-Palmer foram 512,63, 218,6 e 358,37 
                         mm, respectivamente. Com esse estudo pudemos confirmar que ainda 
                         h{\'a} muita dificuldade em se utilizar estimativas de chuva de 
                         radar meteorol{\'o}gico integrados a uma rede pluviom{\'e}trica. 
                         Sugere-se realizar outros estudos semelhantes em escalas temporais 
                         diferentes. ABSTRACT: The aims of the present work were to 
                         validate the precipitation estimates of the meteorological radar 
                         of the Meteorological Center of Bauru (IPMet / UNESP) for the 
                         hydrographic basin of the Jacar{\'e} Gua{\c{c}}u River, located 
                         in the central region of the State of S{\~a}o Paulo / Brazil. For 
                         that, 2013 data from 18 pluviometric stations were used. 
                         Quantification of basin precipitation was performed using Thiessen 
                         polygons. For the validation of the radar, 3 Z-R relations were 
                         tested: Calheiros, Jones and Marshall-Palmer. The best validation 
                         results were obtained by Marshall-Palmer. To adjust the 
                         underestimated data from the weather radar, an optimization method 
                         was used in the data of the stations, finding the correction 
                         factor of 3.135. After the adjustment, a similarity was observed 
                         between the average precipitation observed by the rain gauges and 
                         the precipitation estimated by the radar. Without the necessary 
                         corrections, the rainfall accumulated in 2013 in the hydrographic 
                         basin according to the rain gauges was 1252.26 mm, while those 
                         obtained by the Z-R ratios of Calheiros, Jones and Marshall-Palmer 
                         were 512.63, 218.6 and 358.37 mm, respectively. With this study we 
                         were able to confirm that there is still a lot of difficulty in 
                         using rainfall estimates from weather radar integrated into a 
                         pluviometric network. It is suggested to carry out other similar 
                         studies on different time scales.",
                  doi = "10.11137/2020_2_325_339",
                  url = "http://dx.doi.org/10.11137/2020_2_325_339",
                 issn = "0101-9759",
             language = "pt",
           targetfile = "miguel2020.pdf",
        urlaccessdate = "11 maio 2024"
}