Dresden 2020 – scientific programme

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UP: Fachverband Umweltphysik

UP 6: Atmospheric Chemistry 2

UP 6.4: Talk

Wednesday, March 18, 2020, 17:30–17:50, HSZ 105

Evaluation of natural wetland CH4 emission datasets — •Alexandra Klemme¹, Thorsten Warneke¹, Nikos Daskalakis¹, Marielle Saunois², Mihalis Vrekoussis¹, Justus Notholt¹, and GCP-wetland modelers³ — ¹Institute of Environmental Physics (IUP), Bremen, Germany — ²Laboratoire des Sciences du Climat et de l'Environnement (LSCE-IPSL), Gif-sur-Yvette, France — ³Several Institutions from Canada, China, France, Germany, Japan, UK & USA

Emissions from natural wetlands are the biggest source to atmospheric methane (CH4). At the same time, estimates of these emissions contain high uncertainties. The Global Carbon Project compiled emission data from 13 different land surface models. Global emissions in these datasets differ by approximately 75%. Emissions from indivitual wetlands however show significantly higher differences. Emissions from the Congo catchment for instance differ by more than 600%. In this study, we aim to evaluate these datasets in the following way: We model atmospheric CH4 concentrations for each emission dataset, using the TM5 chemistry and transport model and compare the results to satellite data (GOSAT). We look into the absolute atmospheric concentrations as well as the annual CH4 variations which are mainly caused by wetland emissions. Additionally, model runs excluding local wetland emissions are performed to estimate the impact of local wetland emissions on measured CH4 variations. The results show that satellite CH4 data are able to constrain wetland CH4 emissions.