Top-down Estimates of Methane Emissions in Russia Using Regional Tower Network Observations
Abstract
We apply global high-resolution methane flux inversion based on the Lagrangian-Eulerian coupled tracer transport model to estimate methane emissions in Russia using atmospheric methane data collected at the Siberian tower network, JR-STATION, and data by the global in-situ network. We use the Lagrangian particle dispersion model FLEXPART to estimate the observation footprints at a 0.1-degree spatial resolution. FLEXPART is coupled to a global atmospheric tracer transport model (NIES-TM). The adjoint of the coupled transport model is used in an variational optimization procedure. High-resolution prior fluxes were prepared for anthropogenic emissions (EDGAR), biomass burning (GFAS), and wetlands (VISIT). High resolution wetland emission dataset was constructed using a 0.5 degree monthly emission data simulated by VISIT model and wetland are fraction map by global lake and wetlands database (GLWD). Biweekly flux corrections to prior flux fields are estimated for the period of 2010 to 2015. Inverse model optimizes corrections to two categories of fluxes: anthropogenic and natural (wetlands). Based on fitting the model simulations to the observations, inverse model provides upward corrections to West Siberian anthropogenic emissions in winter and wetland emissions in summer. The use of high-resolution atmospheric transport in flux inversion, when compared to low resolution transport modeling, enables better fit to observations in winter, when anthropogenic emissions dominate variability of the near surface methane concentration. We find that emission distribution and partitioning between anthropogenic and natural sources depends on the prior anthropogenic emissions taken either from EDGAR or scaled to Russia's national inventory report.
- Publication:
-
AGU Fall Meeting Abstracts
- Pub Date:
- December 2019
- Bibcode:
- 2019AGUFMGC21E1281M
- Keywords:
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- 3322 Land/atmosphere interactions;
- ATMOSPHERIC PROCESSES;
- 0702 Permafrost;
- CRYOSPHERE;
- 1637 Regional climate change;
- GLOBAL CHANGE;
- 1817 Extreme events;
- HYDROLOGY