author = "Pereira, Gabriel and Freitas, Saulo Ribeiro de and Lima, Rafael 
                         Stockler Santos and Longo, Karla Maria",
          affiliation = "{} and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Avalia{\c{c}}{\~a}o da assimila{\c{c}}{\~a}o da pot{\^e}ncia 
                         radiativa do fogo no Brazilian Biomass Burning Emission Model e 
                         compara{\c{c}}{\~a}o com invent{\'a}rios utilizados no SAMBBA",
            booktitle = "Anais...",
                 year = "2015",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "4278--4285",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 17. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "Wildfires devastate large areas of shrublands, forest and 
                         grasslands over the world. Biomass burning plays a trade-off role 
                         in the ecosystem services arena by opening spaces for agriculture 
                         or livestock, controlling pests, or recycling nutrientes. Also, 
                         this phenomena modify the carbon-cycling mechanisms, the 
                         atmospheric composition, and biodiversity patterns. Therefore, 
                         this work aims to improve the Fire radiative power (FRP) method 
                         for real-time assimilation in the Brazilian Biomass Burning 
                         Emission Model (3BEM) derived from the Aqua and Terra satellites, 
                         the Geostationary Operational Environmental Satellite (GOES) and 
                         the Meteosat Second Generation (MSG) data. Initial results 
                         indicates that the spatial distribution of Carbon Monoxide (CO) 
                         for the years 2000, 2002, 2010 and 2012 that uses de FRP present 
                         higher emissions but these differences have annual variability. 
                         For example, in 2000 and 2002, CO emissions in the states of Mato 
                         Grosso and Rondonia are lower than in the 3BEM. However, in 2010 
                         and 2012 this sign is reversed. Moreover, each inventory contains 
                         certain specificity, the rate of emission of CO estimated by 3BEM 
                         and FINN models have a tendency to overestimate these emissions in 
                         nearby regions of deforestation arc (in Amazon rainforest border), 
                         especially in the state of RO and Midwest portion of the state of 
                         Mato Grosso. This feature is not seen in the models that uses the 
                         FRP (3BEM_FRP and GFAS) to estimate the biomass burning emissions. 
                         Also, models based on FRP presentes a higher rate of CO in eastern 
                         portion of the Cerrado, especially in the border between Bahia and 
                         Tocantins, with 3BEM_FRP model higher than GFAS.",
  conference-location = "Jo{\~a}o Pessoa",
      conference-year = "25-29 abr. 2015",
                 isbn = "978-85-17-0076-8",
                label = "838",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3JM4CK5",
                  url = "http://urlib.net/rep/8JMKD3MGP6W34M/3JM4CK5",
           targetfile = "p0838.pdf",
                 type = "Meteorologia e climatologia",
        urlaccessdate = "01 dez. 2020"