@Article{GloorGWPBPCPZBMMJP:2021:LaMeEm,
               author = "Gloor, M. and Gatti, Luciana Vanni and Wilson, C. and Parker, R. 
                         J. and Boesch, H. and Popa, E. and Chipperfield, M. P. and 
                         Poulter, B. and Zhang, Z. and Basso, Luana Santamaria and Miller, 
                         J. and McNorton, J. and Jimenez, C. and Prigent, C.",
          affiliation = "{University of Leeds} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)} and {University of Leeds} and {University of 
                         Leicester} and {University of Leicester} and {Universiteit 
                         Utrecht} and {University of Leeds} and {University of Maryland} 
                         and {University of Maryland} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)} and {National Oceanic and Atmospheric 
                         Administration (NOAA)} and {European Centre for Medium-Range 
                         Weather Forecasts} and {Observatoire de Paris} and {Observatoire 
                         de Paris}",
                title = "Large Methane Emissions From the Pantanal During Rising 
                         Water-Levels Revealed by Regularly Measured Lower Troposphere CH4 
                         Profiles",
              journal = "Global Biogeochemical Cycles",
                 year = "2021",
               volume = "35",
               number = "10",
                pages = "e2021GB006964",
                month = "Oct.",
             abstract = "The Pantanal region of Brazil is the largest seasonally flooded 
                         tropical grassland and, according to local chamber measurements, a 
                         substantial CH4 source. CH4 emissions from wetlands have recently 
                         become of heightened interest because global atmospheric 13CH4 
                         data indicate they may contribute to the resumption of atmospheric 
                         CH4 growth since 2007. We have regularly measured vertical 
                         atmospheric profiles for 2 years in the center of the Pantanal 
                         with the objectives to obtain an estimate of CH4 emissions using 
                         an atmospheric approach, and provide information about flux 
                         seasonality and its relation to controlling factors. Boundary 
                         layer-free troposphere differences observed in the Pantanal are 
                         large compared to other wetlands. Total emissions based on a 
                         planetary boundary layer budgeting technique are 2.02.8 TgCH4 
                         yr\−1 (maximum flux \∼0.4 gCH4 m\−2 
                         d\−1) while those based on a Bayesian inversion using an 
                         atmospheric transport model are \∼3.3 TgCH4 yr\−1. 
                         Compared to recent estimates for Amazonia (\∼41 ± 3 TgCH4 
                         yr\−1, maximum flux \∼0.3 gCH4 m\−2 
                         d\−1) these emissions are not that large. Our Pantanal data 
                         suggest a clear flux seasonality with CH4 being released in large 
                         amounts just after water levels begin to rise again after minimum 
                         levels have been reached. CH4 emissions decline substantially once 
                         the maximum water level has been reached. While predictions with 
                         prognostic wetland CH4 emission models agree well with the 
                         magnitude of the fluxes, they disagree with the phasing. Our 
                         approach shows promise for detecting and understanding longer-term 
                         trends in CH4 emissions and the potential for future wetlands CH4 
                         emissions climate feedbacks.",
                  doi = "10.1029/2021GB006964",
                  url = "http://dx.doi.org/10.1029/2021GB006964",
                 issn = "0886-6236",
             language = "en",
           targetfile = "gloor_large_2021.pdf",
        urlaccessdate = "11 jun. 2024"
}