Abstract

Abstract. Methane emissions on the national scale in France in 2012 are inferred by assimilating continuous atmospheric mixing ratio measurements from nine stations of the European network ICOS located in France and surrounding countries. To assess the robustness of the fluxes deduced by our inversion system based on an objectified quantification of uncertainties, two complementary inversion set-ups are computed and analysed: (i) a regional run correcting for the spatial distribution of fluxes in France and (ii) a sectorial run correcting fluxes for activity sectors on the national scale. In addition, our results for the two set-ups are compared with fluxes produced in the framework of the inversion inter-comparison exercise of the InGOS project. The seasonal variability in fluxes is consistent between different set-ups, with maximum emissions in summer, likely due to agricultural activity. However, very high monthly posterior uncertainties (up to ≈ 65 to 74 % in the sectorial run in May and June) make it difficult to attribute maximum emissions to a specific sector. On the yearly and national scales, the two inversions range from 3835 to 4050 Gg CH4 and from 3570 to 4190 Gg CH4 for the regional and sectorial runs, respectively, consistently with the InGOS products. These estimates are 25 to 55 % higher than the total national emissions from bottom-up approaches (biogeochemical models from natural emissions, plus inventories for anthropogenic ones), consistently pointing at missing or underestimated sources in the inventories and/or in natural sources. More specifically, in the sectorial set-up, agricultural emissions are inferred as 66% larger than estimates reported to the UNFCCC. Uncertainties in the total annual national budget are 108 and 312 Gg CH4, i.e, 3 to 8 %, for the regional and sectorial runs respectively, smaller than uncertainties in available bottom-up products, proving the added value of top-down atmospheric inversions. Therefore, even though the surface network used in 2012 does not allow us to fully constrain all regions in France accurately, a regional inversion set-up makes it possible to provide estimates of French methane fluxes with an uncertainty in the total budget of less than 10 % on the yearly timescale. Additional sites deployed since 2012 would help to constrain French emissions on finer spatial and temporal scales and attributing missing emissions to specific sectors.

Highlights

  • Methane (CH4) is the second most important anthropogenic greenhouse gas in terms of impact on climate change, due to its global warming potential 28 times larger than that of CO2 over a 100 year period (IPCC, 2014), and possibly even larger (Holmes et al, 2013)

  • Two runs were performed in order to use the atmospheric information in different ways: one case is based on regions of emissions to adjust the spatial distribution of inventory-based fluxes, and the other is based on emission sectors to adjust source activities prescribed in inventories

  • The question arises of the constraints it can bring on emissions on the national scale

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Summary

Introduction

Methane (CH4) is the second most important anthropogenic greenhouse gas in terms of impact on climate change (after CO2), due to its global warming potential 28 times larger than that of CO2 over a 100 year period (IPCC, 2014), and possibly even larger (Holmes et al, 2013). CH4 is emitted by biomass burning through incomplete combustion, mainly in wildfires, biomass burning due to agricultural activities and the use of biofuels. This variety of sources and the strong spatial and temporal heterogeneity of emissions lead to uncertainties in CH4 global and regional budgets, which remain large enough to impair our understanding of atmospheric variations in CH4 concentrations, and the attribution of CH4 mixing ratio variations to specific sources and/or zones (Saunois et al, 2016, 2017)

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