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<p><span id="page2308"/>Reliable quantification of the sources and sinks of greenhouse gases, together with trends and uncertainties, is essential to monitoring the progress in mitigating anthropogenic emissions under the Paris Agreement. This study provides a consolidated synthesis of <span class="inline-formula">CH₄</span> and <span class="inline-formula">N₂O</span> emissions with consistently derived state-of-the-art bottom-up (BU) and top-down (TD) data sources for the European Union and UK (EU27 <span class="inline-formula">+</span> UK). We integrate recent emission inventory data, ecosystem process-based model results and inverse modeling estimates over the period 1990–2017. BU and TD products are compared with European national greenhouse gas inventories (NGHGIs) reported to the UN climate convention UNFCCC secretariat in 2019. For uncertainties, we used for NGHGIs the standard deviation obtained by varying parameters of inventory calculations, reported by the member states (MSs) following the recommendations of the IPCC Guidelines. For atmospheric inversion models (TD) or other inventory datasets (BU), we defined uncertainties from the spread between different model estimates or model-specific uncertainties when reported. In comparing NGHGIs with other approaches, a key source of bias is the activities included, e.g., anthropogenic versus anthropogenic plus natural fluxes. In inversions, the separation between anthropogenic and natural emissions is sensitive to the geospatial prior distribution of emissions. Over the 2011–2015 period, which is the common denominator of data availability between all sources, the anthropogenic BU approaches are directly comparable, reporting mean emissions of 20.8 <span class="inline-formula">Tg CH₄ yr⁻¹</span> (EDGAR v5.0) and 19.0 <span class="inline-formula">Tg CH₄ yr⁻¹</span> (GAINS), consistent with the NGHGI estimates of 18.9 <span class="inline-formula">±</span> 1.7 <span class="inline-formula">Tg CH₄ yr⁻¹</span>. The estimates of TD total inversions give higher emission estimates, as they also include natural emissions. Over the same period regional TD inversions with higher-resolution atmospheric transport models give a mean emission of 28.8 <span class="inline-formula">Tg CH₄ yr⁻¹</span>. Coarser-resolution global TD inversions are consistent with regional TD inversions, for global inversions with GOSAT satellite data (23.3 <span class="inline-formula">Tg CH₄ yr⁻¹</span>) and surface network (24.4 <span class="inline-formula">Tg CH₄ yr⁻¹</span>). The magnitude of natural peatland emissions from the JSBACH–HIMMELI model, natural rivers and lakes emissions, and geological sources together account for the gap between NGHGIs and inversions and account for 5.2 <span class="inline-formula">Tg CH₄ yr⁻¹</span>. For <span class="inline-formula">N₂O</span> emissions, over the 2011–2015 period, both BU approaches (EDGAR v5.0 and GAINS) give a mean value of anthropogenic emissions of 0.8 and 0.9 <span class="inline-formula">Tg N₂O yr⁻¹</span>, respectively, agreeing with the NGHGI data (0.9 <span class="inline-formula">±</span> 0.6 <span class="inline-formula">Tg N₂O yr⁻¹</span>). Over the same period, the average of the three total TD global and regional inversions was 1.3 <span class="inline-formula">±</span> 0.4 and 1.3 <span class="inline-formula">±</span> 0.1 <span class="inline-formula">Tg N₂O yr⁻¹</span>, respectively. The TD and BU comparison method defined in this study can be operationalized for future yearly updates for the calculation of <span class="inline-formula">CH₄</span> and <span class="inline-formula">N₂O</span> budgets both at the EU<span class="inline-formula">+</span>UK scale and at the national scale. The referenced datasets related to figures are visualized at <a href="https://doi.org/10.5281/zenodo.4590875">https://doi.org/10.5281/zenodo.4590875</a> (Petrescu et al., 2020b).</p>