Abstract

Abstract. European CH4 and N2O emissions are estimated for 2006 and 2007 using four inverse modelling systems, based on different global and regional Eulerian and Lagrangian transport models. This ensemble approach is designed to provide more realistic estimates of the overall uncertainties in the derived emissions, which is particularly important for verifying bottom-up emission inventories. We use continuous observations from 10 European stations (including 5 tall towers) for CH4 and 9 continuous stations for N2O, complemented by additional European and global discrete air sampling sites. The available observations mainly constrain CH4 and N2O emissions from north-western and eastern Europe. The inversions are strongly driven by the observations and the derived total emissions of larger countries show little dependence on the emission inventories used a priori. Three inverse models yield 26–56% higher total CH4 emissions from north-western and eastern Europe compared to bottom-up emissions reported to the UNFCCC, while one model is close to the UNFCCC values. In contrast, the inverse modelling estimates of European N2O emissions are in general close to the UNFCCC values, with the overall range from all models being much smaller than the UNFCCC uncertainty range for most countries. Our analysis suggests that the reported uncertainties for CH4 emissions might be underestimated, while those for N2O emissions are likely overestimated.

Highlights

  • Atmospheric methane (CH4) and nitrous oxide (N2O) are the second and third most important long-lived anthropogenic greenhouse gases (GHGs), after carbon dioxide (CO2)

  • Our analysis suggests that the reported uncertainties for CH4 emissions might be underestimated, while those for N2O emissions are likely overestimated

  • We estimated European CH4 and N2O emissions for 2006 and 2007 using four different inverse modelling systems that were constrained by quasi-continuous observations from various European monitoring stations, complemented by further European and global discrete air sampling sites

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Summary

Introduction

Atmospheric methane (CH4) and nitrous oxide (N2O) are the second and third most important long-lived anthropogenic greenhouse gases (GHGs), after carbon dioxide (CO2). To “bottom-up” approaches, emissions can be estimated using atmospheric measurements and inverse modelling This “top-down” technique is widely used to estimate GHG emissions on the global and continental scale (e.g. Bergamaschi et al, 2013; Bousquet et al, 2006; Hein et al, 1997; Houweling et al, 1999; Kirschke et al, 2013; Mikaloff Fletcher et al, 2004a, b for CH4 and Hirsch et al, 2006; Huang et al, 2008; Thompson et al, 2014 for N2O). With the availability of quasi-continuous GHG measurements and the increasing number of regional monitoring stations, especially in Europe and North America, various inverse modelling studies have estimated emissions on the regional to country scale (e.g. Bergamaschi et al, 2010; Corazza et al, 2011; Kort et al, 2008; Manning et al, 2011; Miller et al, 2013), demonstrating the potential of using such top-down methods for independent verification of bottomup inventories (Bergamaschi, 2007). Tall towers), complemented by further European and global discrete air sampling sites

Atmospheric measurements
Modelling protocol
Atmospheric models
LMDZ-4DVAR
TM3-STILT
NAME-INV
Inverse modelling of European CH4 emissions
Inverse modelling of European N2O emission
Conclusions

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