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The consolidated European synthesis of CH4 and N2O emissions for EU27 and UK: 1990-2018.

Authors :
Roxana Petrescu, Ana Maria
Chunjing Qiu
Ciais, Philippe
Thompson, Rona L.
Peylin, Philippe
McGrath, Matthew J.
Solazzo, Efisio
Janssens-Maenhout, Greet
Tubiello, Francesco N.
Bergamaschi, Peter
Brunner, Dominik
Peters, Glen P.
Höglund-Isaksson, Lena
Regnier, Pierre
Lauerwald, Ronny
Bastviken, David
Tsuruta, Aki
Winiwarter, Wilfried
Patra, Prabir K.
Kuhnert, Matthias
Source :
Earth System Science Data Discussions; 12/17/2020, p1-78, 78p
Publication Year :
2020

Abstract

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 CH<subscript>4</subscript> and N<subscript>2</subscript>O emissions with consistently derived state-of-the-art bottom-up (BU) and top-down (TD) data sources for the European Union and UK (EU27+UK). We integrate recent emission inventory data, ecosystem process-based model results, and inverse modelling estimates over the period 1990-2018. BU and TD products are compared with European National GHG Inventories (NGHGI) reported to the UN climate convention secretariat UNFCCC in 2019. For uncertainties, we used for NGHGI the standard deviation obtained by varying parameters of inventory calculations, reported by the Member States following the IPCC guidelines recommendations. 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 NGHGI 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 Tg CH<subscript>4</subscript> yr<superscript>-1</superscript> (EDGAR v5.0) and 19.0 Tg CH<subscript>4</subscript> yr<superscript>-1</superscript> (GAINS), consistent with the NGHGI estimates of 18.9 ± 1.7 Tg CH<subscript>4</subscript> yr<superscript>-1</superscript>. TD total inversions estimates 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 Tg CH<subscript>4</subscript> yr<superscript>-1</superscript>. Coarser resolution global TD inversions are consistent with regional TD inversions, for global inversions with GOSAT satellite data (23.3 Tg CH<subscript>4</subscript>yr<superscript>-1</superscript>) and surface network (24.4 Tg CH<subscript>4</subscript> yr<superscript>-1</superscript>). 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 NGHGI and inversions and account for 5.2 Tg CH<subscript>4</subscript> yr<superscript>-1</superscript>. For N<subscript>2</subscript>O 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 Tg N<subscript>2</subscript>O yr<superscript>-1</superscript> respectively, agreeing with the NGHGI data (0.9 ± 0.6 Tg N<subscript>2</subscript>O yr<superscript>-1</superscript>). Over the same period, the average of the three total TD global and regional inversions was 1.3 ± 0.4 and 1.3 ± 0.1 Tg N<subscript>2</subscript>O yr<superscript>-1</superscript> respectively, compared to 0.9 Tg N<subscript>2</subscript>O yr<superscript>-1</superscript> from the BU data. The TU and BU comparison method defined in this study can be operationalized for future yearly updates for the calculation of CH<subscript>4</subscript> and N<subscript>2</subscript>O budgets both at EU+UK scale and at national scale. The referenced datasets related to figures are visualized at https://doi.org/10.5281/zenodo.4288969 (Petrescu et al., 2020). [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
18663591
Database :
Complementary Index
Journal :
Earth System Science Data Discussions
Publication Type :
Academic Journal
Accession number :
147660269
Full Text :
https://doi.org/10.5194/essd-2020-367