Global and regional methane emissions for 2000-2017 estimated from CTE-CH4 - contribution to GCP methane
Abstract
Methane (CH4) is an important greenhouse gas that contributes to human-induced climate change. CH4 is emitted from both human activities and natural sources, where the global total emissions in the 21st century are estimated to be around 526-569 Tg CH4 per year (GCP2017). Although the global total emissions estimated by various models agree fairly well, the regional budgets and source attributions vary between the models. In this study, we estimate global and regional CH4 emissions from a CTE-CH4 inverse model, to better quantify the range of the estimates and emission attributions as a part of Global Carbon Project methane budget. The prior emission from anthropogenic, wetlands and peatlands, biofuels and biomass burning, termites, ocean and geological sources are taken into account, and among those, the emissions from anthropogenic and wetlands and peatlands are optimized simultaneously based on ensemble Kalman filter. The spatial resolution of the optimization is 1°x1° over Europe, and region-wise elsewhere, and on weekly temporal resolution. CTE-CH4 employs off-line TM5 chemistry transport model, with 1°x1° zoom over Europe, constrained by ECMWF ERA-Interim meteorological data. We performed two inversions that assimilate 1) the global network of ground-based atmospheric CH4 observations, and 2) column averaged dry-air mole fraction of CH4 (XCH4) retrieved from GOSAT TANSO-FTS. The estimated atmospheric CH4 is compared with the assimilated and non-assimilated observations, and the estimated emissions are compared with other inverse models and process-based models for evaluation.
- Publication:
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AGU Fall Meeting Abstracts
- Pub Date:
- December 2018
- Bibcode:
- 2018AGUFM.B41H2798K
- Keywords:
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- 0426 Biosphere/atmosphere interactions;
- BIOGEOSCIENCESDE: 0475 Permafrost;
- cryosphere;
- and high-latitude processes;
- BIOGEOSCIENCESDE: 0497 Wetlands;
- BIOGEOSCIENCESDE: 1615 Biogeochemical cycles;
- processes;
- and modeling;
- GLOBAL CHANGE