Including satellite data in a regional methane inversion system: case study over Europe
Amir Hossein Abdi, Max Planck Institute for Biogeochemistry, Jena, Germany, abdi@bgc-jena.mpg.de (Presenter)
Christian Rödenbeck, Max Planck Institute for Biogeochemistry, Jena, Germany, christian.roedenbeck@bgc-jena.mpg.de
Tonatiuh Guillermo Nuñez Ramirez, Max Planck Institute for Biogeochemistry, Jena, Germany, tnunez@bgc-jena.mpg.de
Frank-Thomas Koch, Deutscher Wetterdienst, Hohenpeissenberg, Germany, tkoch@bgc-jena.mpg.de
Christoph Gerbig, Max Planck Institute for Biogeochemistry, Jena, Germany, cgerbig@bgc-jena.mpg.de
Julia Marshall, Deutsches Zentrum für Luft- und Raumfahrt, Institut für Physik der Atmosphäre (DLR) Oberpfaffenhofen, julia.marshall@dlr.de
The increase of atmospheric methane since preindustrial times has had a significant impact on global warming. Despite its importance, there remains significant uncertainty in its sources. Inverse modeling is a widely-used method to constrain our knowledge of fluxes using atmospheric observations obtained from different platforms such as tall towers, ships, aircraft, and satellites. We apply the Jena CaboScope-Regional inversion system to satellite measurements on the regional scale to better constrain the sources of methane. In this study, we construct an ensemble of methane flux estimates using Jena CarboScope-Regional inversion based on three different measurement sets over Europe for 2010-2015: (1) ground-based observations, (2) satellite soundings, and (3) the combination of these. When using satellite soundings, we performed separate inversions using either the RemoTeC full-physics retrievals (v2.3.8) or the Remotec proxy retrievals (v2.3.9) of the GOSAT TANSO-FTS soundings. The inversion involves two different atmospheric transport models: The global atmospheric tracer model TM3 is used for the global inversion at a coarse spatial resolution (~ 3.83 x 5 deg.) for providing the background concentrations for the nested domain, and the Stochastic Time-Inverted Lagrangian Transport model STILT in the nested domain. The emission inventories used as the prior fields in the regional domain consist of the wetland model ensemble WetCHARTs, the Emission Database for Global Atmospheric Research (EDGAR) for anthropogenic emissions, the Global Fire Assimilation System (GFAS) for biomass burning, fluxes from the soil Methanotrophy Model (MeMo) for the methane soil uptake, and Sanderson’s global database of termite methane emissions. We investigate the sensitivity of the inversion-derived information to the various data streams to quantify the effect of adding more data to the system, and determine which flux signals are robust.
Poster: Poster_Abdi__128_25.pdf
Presentation Type: Poster
Session: 3.2b Flux estimates and atmospheric inversions from space-based GHG measurements
Session Date: Wednesday (6/16) 9:45 AM