@Article{QuirinoCaJuMePeAl:2017:EvLaEs,
               author = "Quirino, D. T. and Casaroli, D. and Juc{\'a} Oliveira, 
                         R{\^o}mulo Augusto and Mesquita, M. and Pego Evangelista, A. W. 
                         and Alves J{\'u}nior, J.",
          affiliation = "{Universidade Federal de Goi{\'a}s (UFG)} and {Centro de 
                         Investigaci{\'o}n en Recursos para el Clima y el Agua del Cerrado 
                         (NUCLIRH)} and {Instituto Nacional de Pesquisas Espaciais (INPE)} 
                         and {Centro de Investigaci{\'o}n en Recursos para el Clima y el 
                         Agua del Cerrado (NUCLIRH)} and {Centro de Investigaci{\'o}n en 
                         Recursos para el Clima y el Agua del Cerrado (NUCLIRH)} and 
                         {Centro de Investigaci{\'o}n en Recursos para el Clima y el Agua 
                         del Cerrado (NUCLIRH)}",
                title = "Evaluaci{\'o}n de las estimaciones de precipitaciones por 
                         sat{\'e}lite TRMM (Algoritmos 3B42 V7 y RT) en Santo Ant{\^o}nio 
                         (Goi{\'a}s, Brasil)",
              journal = "Revista Facultad Nacional de Agronomia",
                 year = "2017",
               volume = "70",
               number = "3",
                pages = "8251--8261",
             keywords = "Precipitation, Remote sensing, TRMM, Uncertainty quantification.",
             abstract = "The rainfall has a direct influence on the agricultural 
                         productivity, being indispensable the knowledge of its 
                         spatiotemporal behavior in order to establish trends that will 
                         assist in the management of water resources, agricultural 
                         planning, hydrological monitoring and prevention of natural 
                         disasters. Thus, this work aimed to evaluate the accuracy of the 
                         TRMM satellite precipitation estimates in relation to the 
                         gauge-recorded precipitation. For this, the rainfall data from the 
                         weather station located in the municipality of Santo Ant{\^o}nio 
                         de Goi{\'a}s-GO were used, being compared to the TRMM satellite 
                         datasets, especially, the algorithms 3B42 Version 7 (V7) and Real 
                         Time (RT), during the period from January 1998 to October 2015. 
                         The comparison of the TRMM satellite data showed that the ten-day 
                         and monthly precipitation records of the 3B42 V7 algorithm showed 
                         correlation values of 0.69 and 0.65, respectively, during the 
                         rainy season; in the dry season, the correlations were of 0.80 and 
                         0.73. The ten-day concordance index ranged from 0.68 to 0.98 and 
                         the monthly concordance index ranged from 0.83 to 0.99. The 
                         algorithm 3B42 RT presented lower statistical results when 
                         compared to the 3B42 V7. The satellite precipitation estimates 
                         showed both trends of over estimation and underestimation; 
                         however, the satellite data can help research in the absence of 
                         information on the rainfall in the region.",
                  doi = "10.15446/rfna.v70n3.61805",
                  url = "http://dx.doi.org/10.15446/rfna.v70n3.61805",
                 issn = "0304-2847",
             language = "en",
        urlaccessdate = "27 abr. 2024"
}