author = "Ribeiro, Igor Oliveira and Andreoli, Rita Val{\'e}ria and Kayano, 
                         Mary Toshie and Sousa, Thaiane Rodrigues de and Medeiros, Adan 
                         Sady and Guimar{\~a}es, Patr{\'{\i}}cia Costa and Barbosa, 
                         Cybelli G. G. and Godoi, Ricardo H. M. and Martin, Scot T. and 
                         Souza, Rodrigo Augusto Ferreira de",
          affiliation = "{Instituto Nacional de Pesquisas da Amaz{\^o}nia (INPA)} and 
                         {Universidade do Estado do Amazonas (UEA)} and {Instituto Nacional 
                         de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas da Amaz{\^o}nia (INPA)} and {Instituto Nacional de 
                         Pesquisas da Amaz{\^o}nia (INPA)} and {Instituto Nacional de 
                         Pesquisas da Amaz{\^o}nia (INPA)} and {Universidade Federal do 
                         Paran{\'a} (UFPR)} and {Universidade Federal do Paran{\'a} 
                         (UFPR)} and {Harvard University} and {Universidade do Estado do 
                         Amazonas (UEA)}",
                title = "Impact of the biomass burning on methane variability during dry 
                         years in the Amazon measured from an aircraft and the AIRS 
              journal = "Science of The Total Environment",
                 year = "2018",
               volume = "624",
                pages = "509--516",
                month = "may",
             keywords = "Greenhouse gas, Air pollution, Remote sensing, Drought, Climate.",
             abstract = "The present study examines the spatiotemporal variability and 
                         interrelations of the atmospheric methane (CH4), carbon monoxide 
                         (CO) and biomass burning (BB) outbreaks retrieved from satellite 
                         data over the Amazon region during the 20032012 period. In the 
                         climatological context, we found consistent seasonal cycles of BB 
                         outbreaks and CO in the Amazon, both variables showing a peak 
                         during the dry season. The dominant CO variability mode features 
                         the largest positive loadings in the southern Amazon, and 
                         describes the interannual CO variations related to BB outbreaks 
                         along the deforestation arc during the dry season. In line with CO 
                         variability and BB outbreaks, the results show strong 
                         correspondence with the spatiotemporal variability of CH4 in the 
                         southern Amazon during years of intense drought. Indeed, the areas 
                         with the largest positive CH4 anomalies in southern Amazon overlap 
                         the areas with high BB outbreaks and positive CO anomalies. The 
                         analyses also showed that high (low) BB outbreaks in the southern 
                         Amazon occur during dry (wet) years. In consequence, the 
                         interannual climate variability modulates the BB outbreaks in the 
                         southern Amazon, which in turn have considerable impacts on CO and 
                         CH4 interannual variability in the region. Therefore, the BB 
                         outbreaks might play a major role in modulating the CH4 and CO 
                         variations, at least in the southern Amazon. This study also 
                         provides a comparison between the estimate of satellite and 
                         aircraft measurements for the CH4 over the southern Amazon, which 
                         indicates relatively small differences from the aircraft 
                         measurements in the lower troposphere, with errors ranging from 
                         0.18% to 1.76%.",
                  doi = "10.1016/j.scitotenv.2017.12.147",
                  url = "http://dx.doi.org/10.1016/j.scitotenv.2017.12.147",
                 issn = "0048-9697",
             language = "en",
           targetfile = "ribeiro-impact.pdf",
        urlaccessdate = "30 nov. 2020"