Abstract

Abstract. Reliable quantification of the sources and sinks of atmospheric carbon dioxide (CO2), including that of their trends and uncertainties, is essential to monitoring the progress in mitigating anthropogenic emissions under the Kyoto Protocol and the Paris Agreement. This study provides a consolidated synthesis of estimates for all anthropogenic and natural sources and sinks of CO2 for the European Union and UK (EU27 + UK), derived from a combination of state-of-the-art bottom-up (BU) and top-down (TD) data sources and models. Given the wide scope of the work and the variety of datasets involved, this study focuses on identifying essential questions which need to be answered to properly understand the differences between various datasets, in particular with regards to the less-well-characterized fluxes from managed ecosystems. The work integrates recent emission inventory data, process-based ecosystem model results, data-driven sector model results and inverse modeling estimates over the period 1990–2018. BU and TD products are compared with European national greenhouse gas inventories (NGHGIs) reported under the UNFCCC in 2019, aiming to assess and understand the differences between approaches. For the uncertainties in NGHGIs, we used the standard deviation obtained by varying parameters of inventory calculations, reported by the member states following the IPCC Guidelines. Variation in estimates produced with other methods, like atmospheric inversion models (TD) or spatially disaggregated inventory datasets (BU), arises from diverse sources including within-model uncertainty related to parameterization as well as structural differences between models. In comparing NGHGIs with other approaches, a key source of uncertainty is that related to different system boundaries and emission categories (CO2 fossil) and the use of different land use definitions for reporting emissions from land use, land use change and forestry (LULUCF) activities (CO2 land). At the EU27 + UK level, the NGHGI (2019) fossil CO2 emissions (including cement production) account for 2624 Tg CO2 in 2014 while all the other seven bottom-up sources are consistent with the NGHGIs and report a mean of 2588 (± 463 Tg CO2). The inversion reports 2700 Tg CO2 (± 480 Tg CO2), which is well in line with the national inventories. Over 2011–2015, the CO2 land sources and sinks from NGHGI estimates report −90 Tg C yr−1 ± 30 Tg C yr−1 while all other BU approaches report a mean sink of −98 Tg C yr−1 (± 362 Tg of C from dynamic global vegetation models only). For the TD model ensemble results, we observe a much larger spread for regional inversions (i.e., mean of 253 Tg C yr−1 ± 400 Tg C yr−1). This concludes that (a) current independent approaches are consistent with NGHGIs and (b) their uncertainty is too large to allow a verification because of model differences and probably also because of the definition of “CO2 flux” obtained from different approaches. The referenced datasets related to figures are visualized at https://doi.org/10.5281/zenodo.4626578 (Petrescu et al., 2020a).

Highlights

  • Global atmospheric concentrations of CO2 have increased 46 % since pre-industrial times (WMO, 2019)

  • Except for two sector-specific BU models based on national statistics (EFISCEN and CBM), we note that the BU observation-based approaches used in the GCB and in this paper are based on the national greenhouse gas inventories (NGHGIs) estimates provided by national inventory agencies to the UNFCCC with differences coming from allocation

  • At the EU27 + UK level our results show that CO2 fossil emissions are consistent between UNFCCC NGHGI (2019) and BU inventories from EDGAR v5.0, CEDS and PRIMAP

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Summary

Introduction

Global atmospheric concentrations of CO2 have increased 46 % since pre-industrial times (pre-1750) (WMO, 2019). National greenhouse gas inventories (NGHGIs) are prepared and reported under the UNFCCC on an annual basis by Annex I countries, based on IPCC Guidelines using national activity data and different levels of sophistication (tiers) for. Except for two sector-specific BU models based on national statistics (EFISCEN and CBM), we note that the BU observation-based approaches used in the GCB and in this paper are based on the NGHGI estimates provided by national inventory agencies to the UNFCCC with differences coming from allocation. They rely heavily on statistical data combined with Tier 1 and Tier 2 approaches.

CO2 data sources and estimation approaches
CO2 anthropogenic emissions from NGHGIs
CO2 fossil emissions
CO2 land fluxes
Method BU
Bottom-up estimates by sector
Bottom-up estimates by source category
Top-down estimates
Estimates of European and regional total CO2 land fluxes
LULUCF CO2 fluxes from NGHGIs and decadal changes
Estimates of CO2 fluxes from bottom-up approaches
Bottom-up CO2 estimates from all LULUCF sectors
Comparison of top-down and bottom-up CO2 estimates
Summary and concluding remarks
Bottom-up emission estimates
Top-down CO2 emission estimates
Bottom-up CO2 estimates
Source-specific methodologies
Emission data availability
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