@InProceedings{BassoGMCTDCSAAACNGM:2019:UnSeIn,
               author = "Basso, Luana Santamaria and Gatti, Luciana Vanni and Marani, 
                         Luciano and Cassol, Henrique Luis Godinho and Tejada, Graciela and 
                         Domingues, Lucas Gatti and Correia, Caio Silvestre de Carvalho and 
                         Sanchez, Alber and Arai, Eg{\'{\i}}dio and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de and Anderson, Liana O. and Crispim, 
                         St{\'e}phane Palma and Neves, Raiane Aparecida Lopes and Gloor, 
                         Manuel and Miller, John B.",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)} and {Instituto Nacional de Pesquisas Espaciais (INPE)} and 
                         {Instituto Nacional de Pesquisas Energ{\'e}ticas (IPEN)} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {Centro Nacional de Monitoramento 
                         e Alertas de Desastres Naturais (CEMADEN)} and {Instituto Nacional 
                         de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {University of Leeds} and NOAA",
                title = "Understanding the seasonality and interannual variability of 
                         Amazon CH4 budget and climate feedbacks based on atmospheric data 
                         from vertical profiles measurements",
            booktitle = "Abstracts...",
                 year = "2019",
         organization = "Chapman Conference on Understanding Carbon Climate Feedbacks",
             abstract = "Currently tropical land regions, like Amazon, are still poorly 
                         observed with large-scale integrating in-situ observations 
                         although they host some of the largest wetlands/seasonally flooded 
                         areas on the globe. The role of these regions in the global CH4 
                         balance and the climate feedbacks have remained uncertain. To help 
                         this situation we have started a lower-troposphere greenhouse 
                         gas-monitoring program over tropical South America consisting of 
                         regular vertical profile greenhouse gas and carbon monoxide (CO) 
                         observations at four sites along the main airstream since 2010. 
                         Vertical profiles are sampled using light aircraft, high-precision 
                         greenhouse gas and carbon monoxide analysis of flask air, 
                         fortnightly between 2010 to 2017. Over the full period the Amazon 
                         (total area of around 7.2 million km2) was a source of CH4, of 
                         approximately 46 ± 6 Tg/year, which represent 8% of the global CH4 
                         flux to the atmosphere. CH4 emissions from different parts of the 
                         basin vary markedly. There are comparably high emissions from the 
                         eastern part of the basin exhibiting strong variability, with 
                         particularly high CH4 fluxes in the early part of the wet season 
                         (January to March). A second period of high emissions occurs 
                         during the dry season. The cause of the high emissions is unclear. 
                         In contrast to the eastern Amazon site a clear seasonality was 
                         observed at the other three sites located further downwind along 
                         the main sir-stream, with the largest emissions occurring at the 
                         beginning of the wet season (January to March). In addition, these 
                         data show an interannual variability in emissions magnitude, so we 
                         discuss how these data can be correlate to temperature, 
                         precipitation, terrestrial water storage anomalies (from GRACE) 
                         and Fire counts (human-driven changes) that could be influencing 
                         this variability. Using a CO/CH4 emission ratio calculated in this 
                         study we find a biomass burning contribution varying between 10 
                         and 23% of the total flux at each site. Also, we discuss what the 
                         data tell us about possible ongoing feedbacks to possible changes 
                         in temperature, precipitation and biomass burning and indicating 
                         what variables can be contributing to CH4 emissions from Amazon.",
  conference-location = "San Diego, CA",
      conference-year = "26-29 ago.",
             language = "en",
        urlaccessdate = "09 maio 2024"
}