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To address and mitigate the environmental impacts of synthetic greenhouse gases it's crucial to quantify their emissions to the atmosphere on different spatial scales. Atmospheric Inverse modelling is becoming a widely used method to provide observation-based estimates of greenhouse gas emissions with the potential to provide an independent verification tool for national emission inventories. A sensitivity study of the FLEXINVERT+ model for the optimisation of the spatial and temporal emissions of long-lived greenhouse gases at the regional-to-country scale is presented. A test compound HFC-134a, the most widely used refrigerant in mobile air conditioning systems, has been used to evaluate its European emissions in 2011 to be compared with a previous study. Sensitivity tests on driving factors like—observation selection criteria, prior data, background mixing ratios, and station selection—assessed the model's performance in replicating measurements, reducing uncertainties, and estimating country-specific emissions. Across all experiments, good prior (0.5–0.8) and improved posterior (0.6–0.9) correlations were achieved, emphasizing the reduced sensitivity of the inversion setup to different a priori information and the determining role of observations in constraining the emissions.The posterior results were found to be very sensitive to background mixing ratios, with even slight increases in the baseline leading to significant decrease of emissions. [ABSTRACT FROM AUTHOR]

During the negotiations of the Kyoto Protocol the delegation of Brazil presented an approach for distributing the burden of emissions reductions among the Parties based on the effect of their cumulative historical emissions on the global-average near-surface temperature. The Letter to the Parties does not limit the emissions to be considered to be only greenhouse gas (GHG) emissions. Thus, in this paper we explore the importance of anthropogenic SOx emissions that are converted to sulfate aerosol in the atmosphere, together with the cumulative greenhouse gas emissions, in attributing historical temperature change. We use historical emissions and our simple climate model to estimate the relative contributions to global warming of the regional emissions by four Parties: OECD90, Africa and Latin America, Asia, and Eastern Europe and the Former Soviet Union. Our results show that for most Parties the large warming contributed by their GHG emissions is largely offset by the correspondingly large cooling by their SOx emissions. Thus, OECD90 has become the dominant contributor to recent global warming following its large reduction in SOx emissions after 1980. [ABSTRACT FROM AUTHOR]

• The regional impacts of storage operation on CO 2 emissions are studied. • A new method of determining regional emissions factors was developed. • Emissions factors found using linear regression and a power flow model. • Large differences in emissions across storage operating scenarios and regions. • Differences in Great Britain can be equivalent to fitting coal power with CCS. While energy storage is key to increasing the penetration of variable renewables, the near-term effects of storage on greenhouse gas emissions are uncertain. Several studies have shown that storage operation can increase emissions even if the storage has 100% turnaround efficiency. Furthermore, previous studies have relied on national-level data and given very little attention to the impacts of storage on emissions at local scales. This is an important omission, as carbon intensities can vary very significantly at sub-national scales. We introduce a novel approach to calculating regional marginal emissions factors, based on a validated power system model and regression analysis. The techniques are used to investigate the impacts of storage operation on CO 2 emissions in Great Britain in 2019, under a range of operating scenarios. It is found that there are significant regional differences in storage emissions factors, with storage tending to increase emissions when used for wind balancing in areas with little wind curtailment. In contrast, the greatest emissions reductions are achieved when charging storage with otherwise-curtailed renewables and discharging to reduce peak demands in areas consuming high volumes of fossil fuel power. Over all regions and operating modes studied, the difference between the highest reduction in emissions and the highest increase in emissions is considerable, at 741 gCO 2 per kWh discharged. We conclude that power system regulators should pay increased attention to the impact of storage operation on system CO 2 emissions. [ABSTRACT FROM AUTHOR]