Journal
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES
Volume 379, Issue 2210, Pages -Publisher
ROYAL SOC
DOI: 10.1098/rsta.2021.0106
Keywords
atmospheric methane; satellite observations; inverse modelling; methane emissions; surface measurements
Categories
Funding
- UK National Centre for Earth Observation - National Environment Research Council [NE/R016518/1]
- Methane Observations and Yearly Assessments (MOYA) project [NE/N015916/1]
- [NE/N018079/1]
- NERC [NE/N015916/1] Funding Source: UKRI
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Surface observations of atmospheric methane changes in this century have been large but incompletely understood, limited by their biased geographical distribution towards the northern midlatitudes. The launch of GOSAT satellites since 2009 has provided additional coverage over the tropics, revealing significant increases in methane emissions driven by biomass burning, biogenic emissions, and energy production, especially after the 2014/2016 El Nino event. Such better spatial coverage and resolution measurements allow quantification of previously unattainable diffuse sources of methane, opening up a new research frontier.
Surface observations have recorded large and incompletely understood changes to atmospheric methane (CH4) this century. However, their ability to reveal the responsible surface sources and sinks is limited by their geographical distribution, which is biased towards the northern midlatitudes. Data from Earth-orbiting satellites designed specifically to measure atmospheric CH4 have been available since 2009 with the launch of the Japanese Greenhouse gases Observing SATellite (GOSAT). We assess the added value of GOSAT to data collected by the US National Oceanic and Atmospheric Administration (NOAA), which have been the lynchpin for knowledge about atmospheric CH4 since the 1980s. To achieve that we use the GEOS-Chem atmospheric chemistry transport model and an inverse method to infer a posteriori flux estimates from the NOAA and GOSAT data using common a priori emission inventories. We find the main benefit of GOSAT data is from its additional coverage over the tropics where we report large increases since the 2014/2016 El Nino, driven by biomass burning, biogenic emissions and energy production. We use data from the European TROPOspheric Monitoring Instrument to show how better spatial coverage and resolution measurements allow us to quantify previously unattainable diffuse sources of CH4, thereby opening up a new research frontier. This article is part of a discussion meeting issue 'Rising methane: is warming feeding warming? (part 1)'.
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