Different emissions inventories have been developed in recent years, which provide emissions of gaseous and particulate atmospheric species for the past decades at both global and regional scales. As part of the Copernicus Atmosphere Monitoring Service, we have developed the CAMS-GLOB-ANT inventory (version 6.2), which provides monthly emissions of 36 chemical compounds at a spatial resolution of 0.1x0.1 degree. The evaluation of the emissions has revealed issues in some regions, particularly for the emissions of nitrogen oxides and sulfur dioxide. To evaluate the dataset in more detail, we have gathered data provided by several inventories for the 2000-2024 period developed for the global as well as for the regional scale. The changes in the emissions provided by these global and regional inventories have been intercompared, and we will discuss the comparisons of the emissions of carbon monoxide, nitrogen oxides, sulfur dioxide and black and organic carbon. We have used different sets of regional emissions for Europe, the USA and China to improve the CAMS-GLOB-ANT dataset. The methodology to build the CAMS mosaic of emissions (CAMS-GLOB-ANT-M1) will be discussed, and comparisons between the improved and the original CAMS global emissions will be presented.
How to cite: Granier, C., Li, C. W. Y., Dellaert, S., Denier van der Gon, H., Doumbia, T., Guevara, M., Jalkanen, J.-P., Kuenen, J., Liousse, C., Majamaki, E., Merly, H., Schoenmakers, E., and Zilbermann, N.: Trends in emissions of atmospheric constituents at the global scale: evaluation and improvements using regional inventories, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-7386, https://doi.org/10.5194/egusphere-egu25-7386, 2025.
The Emissions of atmospheric Compounds & Compilation of Ancillary Data (ECCAD) database provides a user-friendly access to surface emissions and ancillary data, i.e. data on land use, active fires, burned areas, population, etc. These data can be directly viewed or downloaded. ECCAD is the emissions database of the GEIA (Global Emissions InitiAtive) project and a sub-project of AERIS the French Data and Services Cluster for Atmosphere (CNES and CNRS, https://www.aeris-data.fr/). ECCAD distributes also the emissions dataset developed as part of the Copernicus Atmosphere Monitoring Service (https://atmosphere.copernicus.eu/)
The ECCAD database includes more than 100 datasets with a large diversity of sources, which provide global and regional surface emissions for a large set of chemical compounds, at several resolutions (0.25x025, 0,1x0,1, 1x1 degree etc) and several sectors. The database has currently more than 2500 users originating from more than 80 countries on 836 institutes. The project benefits from this large international community of users to expand the number of emission datasets made available.
ECCAD provides detailed metadata for each of the datasets, including information on references, how to cite the datasets when used, the methodology, and links to the original inventories. It can also provides DOIs. Several tools are provided for the visualization of the data, for computing global and regional totals and for an interactive spatial and temporal analysis. The data can be downloaded as interoperable NetCDF CF-compliant files, i.e. the data are compatible with many other client interfaces.
The ECCAD database and web interface are under constant development to enhance the user experience: better download granularity, new tools to improve the analysis and comparison of emissions and ancillary data. They include geographical masking, arithmetic expressions to combine different maps, new tools for temporal profiles analysis, and comparisons of data at different scales.
The presentation will provide information on all the datasets available within ECCAD, as well as examples of the analysis work that can be done online through the website: https://eccad.sedoo.fr
How to cite: Zilbermann, N., Granier, C., and Leal Liousse, C.: Access to Emissions Distributions and Related Ancillary Data through the ECCAD database , EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-8170, https://doi.org/10.5194/egusphere-egu25-8170, 2025.
Introduction
Given its atmospheric lifetime of days to a week, fine particulate matter (PM2.5) – an air pollutant responsible for adverse health effects – can be advected far beyond its sources and across political borders. This uncomfortable exchange leads to inequality, in which a country may bear air pollution-related health impacts associated with anthropogenic emission activity beyond its borders. Climate action is irrevocably linked to this inequality. Anthropogenic sources of greenhouse gases often co-emit air pollutants and their chemical precursors; thus, action targeting greenhouse gases can result in air pollution-related co-benefits that are realized through improvements in air quality.
Methods
Despite this close linkage, much of the research on co-benefits has focused on quantifying benefits in terms of magnitude or absolute number. This ignores how atmospheric composition source-receptor dynamics could be affected by climate action. In this study, we quantify how air pollution exchanges within and between regions (e.g., Africa and Europe) could vary across different shared socioeconomic pathways (SSPs) and representative concentration pathways (RCPs). We perform thousands of GEOS-Chem adjoint simulations to calculate the sensitivities of country-scale PM2.5 exposures to their precursor emissions. We then combine these simulated sensitivities with gridded emission projections for the SSPs and RCPs to determine how source-receptor relationships between specific countries and regions may differ across different climate futures. Lastly, we leverage methods from the Global Burden of Disease study to assess the impacts of transboundary air pollution exchange on human health.
Results and Discussion
We find that reductions in anthropogenic emissions from climate action in more sustainable futures (SSP1-19) results in more co-benefits (480 thousand deaths avoided) than worst-case scenario fragmentation futures (SSP3-60) (140 thousand deaths avoided). In sustainable futures (SSP1), African countries have more influence on climate co-benefits; they contribute between 2.3-2.8 times as many benefits to European countries than vice-versa. However, in fragmented futures (SSP3), this dynamic flips and African countries become more dependent on European climate action as they contribute between 1.7-0.4 times as many benefits. Ultimately, this suggests that changes in anthropogenic emissions associated with climate action have the capacity to not only affect atmospheric composition through improved air quality but also to modify exchange relationships between individual countries and regions.
How to cite: Nawaz, M. O. and Henze, D.: Exploring the role of climate action in transboundary air pollution inequality using GEOS-Chem adjoint sensitivities, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-3624, https://doi.org/10.5194/egusphere-egu25-3624, 2025.
The European Union and the Swiss Federal Council have both set the ambitious goal of achieving net-zero greenhouse gas (GHG) emissions by 2050. While reducing fossil fuel use is widely assumed to improve air quality due to the co-emission of air pollutants during fossil fuel combustion, specific choices regarding alternative energy sources and changes in the building, industrial, and agricultural sectors may have very different and potentially detrimental impacts on air quality.
In this context, we study the air quality implications of transitioning to a net-zero GHG society in Europe and Switzerland by comparing two distinct scenarios for the year 2050: a net-zero pathway and a business-as-usual (BAU) scenario. The BAU scenario reflects the continuation of current energy policies without additional measures to achieve net-zero emissions. Comparing the BAU and net-zero scenarios allows us to assess how transformations in energy systems and associated changes in anthropogenic emissions shape the levels, composition, and dynamics of air pollutants.
Our analysis is based on simulations conducted with the state-of-the-art atmospheric chemistry and transport model ICON-ART. We have incorporated the latest MOZART tropospheric chemistry scheme to accurately represent key oxidation processes involving ozone, nitrogen oxides, and volatile organic compounds. ICON-ART also features advanced modules for aerosol dynamics, gas-aerosol interactions, and emissions from biogenic and natural sources. Emission inventories for the year 2050 are developed in alignment with Switzerland's energy strategy and European projections. Anthropogenic emissions of gas-phase species and particulate matter are integrated into ICON-ART using its online emission module.
Based on air quality simulations with ICON-ART, we will discuss the effects of reducing primary air pollutants on the formation of secondary air pollutants and the removal of air pollutants from the atmosphere, and show how Swiss and European air quality levels change as we move towards a net-zero society.
How to cite: Keller, C., Emmenegger, L., and Brunner, D.: Assessing the Air Quality Impacts of Net-Zero GHG Emissions in Europe and Switzerland with ICON-ART, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-2578, https://doi.org/10.5194/egusphere-egu25-2578, 2025.
The European Commission’s Zero Pollution Action Plan sets ambitious goals to reduce air, water, and soil pollution by 2050, including a 55% reduction in premature deaths from air pollution by 2030. In 2022, fine particulate matter (PM₂.₅), nitrogen dioxide (NO₂), and ozone (O₃) caused 239,000, 48,000, and 70,000 premature deaths, respectively. The interaction between climate change and air pollution presents significant challenges for achieving these ambitious goals. Rising temperatures, frequent heatwaves, and drought conditions enhance the production of O₃ and the formation of secondary organic aerosols (SOA), increasing PM₂.₅ levels by up to 5% in some regions. These compounded effects heighten health and environmental risks.
The Mediterranean Basin, a recognized climate change hotspot, faces particularly severe challenges. Under high-warming scenarios (+4°C), intensify emissions of O₃ precursors and wildfire activity in southern Europe. The “climate penalty” — the additional burden of air pollution under changing climate conditions— could at least partly offset the benefits of current mitigation measures. For example, projections indicate a 15% increase in O₃-related premature mortality and respiratory hospitalizations in southern Europe by mid-century. However, uncertainties remain regarding the isolated contribution of climate change to these trends.
The INSPEnCaT project addresses these critical challenges by quantifying the air pollution climate penalty across Europe, focusing on the influence of climate change under present-day and future emission scenarios.The study outlines three key objectives: (1) to develop a regional climate-chemistry modeling system for Europe, (2) to assess the air pollution climate penalty under different abatement scenarios, and (3) to quantify impacts on policy-relevant metrics, including human and vegetation exposure and associated health effects. More specifically, we are developing a modeling chain coupling global chemistry-climate simulations with the EC-Earth3-AerChem model with regional weather-chemistry simulations with the MONARCH model. Simulations will focus on two 10-year periods (2005–2014 for present-day and 2045–2054 for future conditions). These simulations will isolate the effect of climate change on air quality under present-day and future emission scenarios for that, two scenarios will be performed: (1) present-day emissions with present-day climate (2005–2014) and (2) present-day emissions with future climate under SSP2-4.5 scenario (2045–2054). MONARCH model will downscale these simulations to a 20x20 km² resolution, providing detailed air quality projections across Europe based on different air pollution abatement scenarios. Regarding anthropogenic emissions, EC-Earth3-AerChem relies on CMIP6 historical and projected emissions under the SSP245 for present-day and future, respectively. MONARCH relies on the CAMS-REG-APv4.2 for present day while different policy emission scenarios will be used for the future (i.e. Current legislation, maximum feasible reduction). In this contribution, we will present and discuss the preliminary results of atmospheric composition obtained under these different long-term emission scenarios.
The results of this study will offer valuable insights into the climate penalty’s effects on air pollution in key hotspot regions across Europe. INSPEnCaT results will support policymakers to design more effective strategies to mitigate air pollution and its associated health risks, ensuring alignment with ambitious European objectives such as the Zero Pollution target by 2050.
How to cite: Tarín-Carrasco, P., Petetin, H., Gonçalves Ageitos, M., Guevara, M., Marangio, F., Pérez García-Pando, C., Ballester, J., Querol, X., and Jorba, O.: Quantifying the Climate Penalty on Air Quality in Europe – Insights from INSPEnCaT Project, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-17230, https://doi.org/10.5194/egusphere-egu25-17230, 2025.
The rapid industrialization and urbanization across South Asia in recent years have driven significant increases in surface ozone (O₃) and fine particulate matter (PM₂.₅) concentrations, posing serious environmental and public health challenges. This study investigates the potential of precursor emission reductions in mitigating surface O₃ and PM₂.₅ levels over the Indian subcontinent, with a focus on the pre-monsoon season. Using the WRF-Chem model, we applied two chemical mechanisms: MOZCART, representing a simpler approach, and MOZART-MOSAIC, incorporating more complex gas-phase and aerosol interactions.
Through a series of sensitivity experiments, we analysed the effects of a 50% reduction in key precursors—nitrogen oxides (NOₓ), volatile organic compounds (VOCs), carbon monoxide (CO), methane (CH₄), and their combined reductions. The results revealed distinct responses to emission reductions. For surface O₃, MOZCART mechanism showed substantial reductions (~ 8 ppbv) in northern India under curtailed NOₓ emission, highlighting dominant role of NOx in O₃ production in this region. In contrast, VOC and CO reductions had limited impacts on O₃ levels (~5 ppbv), suggesting a VOC-limited regime in certain areas. The MOZART-MOSAIC mechanism provided deeper insights, revealing substantial PM₂.₅ reductions (~3 ug/m3) under combined precursor reductions, emphasizing the intricate coupling between gas-phase and particulate chemistry.
Further analysis of diurnal and nocturnal variations highlighted differences in chemical dynamics between the two mechanisms. MOZCART indicated an increase in daytime O₃ levels (~ 8 ppbv) under combined precursor reductions, likely due to shifts in photochemical regimes, whereas MOZART-MOSAIC exhibited nighttime O₃ reductions (~ 4 ppbv) driven by changes in nocturnal chemical pathways.
This study underscores the critical importance of multi-pollutant emission reductions to achieve meaningful improvements in surface O₃ and PM₂.₅ levels. It also highlights the complex and region-specific interactions between atmospheric precursors, emphasizing the need for integrated and holistic approaches to air quality management in South Asia.
How to cite: Anand K A, A., Ganguly, D., and Dey, S.: Assessing the Impact of Emission Reductions on Surface O3 and PM2.5 in India, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-644, https://doi.org/10.5194/egusphere-egu25-644, 2025.
India experiences some of the highest ambient PM2.5 pollution concentrations in the world, which led to an estimated 1.67 million premature deaths in 2019. The power sector alone accounts for 20% of PM2.5-related deaths in the country, making it the highest contributor to PM2.5-related mortality per unit of generating capacity globally. In addition, a transition from coal power to renewable energy in India is critical for meeting global climate targets, while currently India’s CO2 emissions are rapidly rising. With India's electricity demand projected to quadruple between 2022 and 2047, understanding the environmental trade-offs between various power sector expansion pathways, particularly the effects of continuing to operate coal power plants without pollution controls, implementing pollution controls on them, or increasingly implementing renewable energy (RE) is critical for weighing the impact of the future power sector on air pollution, public health and climate.
We have developed an integrated assessment framework to investigate the current and future air quality, public health, and carbon emission implications of India’s power sector operation. In addition, our analysis also considers the climate effects associated with aerosols from power sector, which can influence regional radiative forcing and temperature patterns. We have constructed a detailed, plant-level emission inventory for India’s coal-fired power plants, which had a total installed capacity of 212 GW in 2022. We then implemented our plant-level coal power emission inventory in the WRF-Chem 4.6.1 air quality model to simulate the impact of various possible power sector expansion pathways on regional air pollution and radiative forcing resulting from various aerosol distributions.
We also developed a new tagging scheme in WRF-Chem that attributes simulated PM2.5 concentrations to individual power plant emissions and evaluates the location-specific impacts of these emissions on air quality and public health. This approach allows us to identify those power plants with the largest adverse impacts on public health. This information can then be used by policy makers in determining power generation and public health priorities.
How to cite: Zhou, M., Mauzerall, D., Velamuri, V., and Kota, H.: Implementing pollution controls in India’s coal power plants and utilizing renewable energy: Synergies and trade-offs for air quality, public health and climate., EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-14625, https://doi.org/10.5194/egusphere-egu25-14625, 2025.
Near-surface ozone pollution is one of the biggest challenges for Chinese air quality improvement, while its future spatiotemporal evolution and driving factors have not been fully investigated. Here, we developed a two-stage model combining a machine learning technique (XGBoost) and a chemical transport model (WRF-CMAQ) to assess the ozone change till 2060 in China under three scenarios with various trajectories of climate change, energy transition and pollution controls. The new model effectively corrected overestimation and underestimation of ozone levels by CMAQ and global climate models, respectively. Anthropogenic efforts will overcome the adverse effect of climate and reduce future ozone concentration, especially in eastern China and warm season with greater ozone pollution. From a long-term perspective, energy structure transition was estimated to play a more important role than end-of-pipe emission controls, with a former to latter ratio of ozone reduction during 2017-2060 at 2.7. With observational information incorporated, our model was demonstrated to better capture the ozone response to precursor emission change than WRF-CMAQ, and corrected the underestimation of ozone reduction for developed urban areas.
How to cite: Wang, Y. and Zhao, Y.: Future evolution of Chinese near-surface ozone concentrations: the insight from a new two-stage model combining machine learning and chemical transport modeling, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-1498, https://doi.org/10.5194/egusphere-egu25-1498, 2025.
As a key fraction of fine particulate matter (PM2.5), carbonaceous aerosol has a significant impact on climate and human health. This study investigates the long-term variations in carbonaceous aerosols from 2014 to 2021 in Nanjing, China. We observed substantial decreasing trends in organic carbon (OC) (-8.0% yr-1) and elemental carbon (EC) (-8.3% yr-1), mainly driven by reductions in primary carbonaceous components. Notably, secondary organic carbon (SOC) did not exhibit a significant decreasing trend (-2.0% yr-1), while its contribution to OC increased substantially (16.4% yr-1), indicating its growing importance in organic aerosol. Compared to changes in meteorological factors, emission reduction played a dominant role in the decrease of carbonaceous aerosols. Moreover, considering two key clean air actions and the COVID-19 pandemic, we thoroughly assessed the effect of emission reduction on different carbonaceous components throughout three phases: Phase I (2014-2017), Phase II (2017-2019), and Phase III (2019-2021). The varying trends of primary carbonaceous components over the three phases highlight their dynamic response to various emission control measures implemented over distinct phases. Given the relatively stable atmospheric oxidation and the limited decrease in volatile organic compounds (VOCs) in Phase III, the unexpected significant reduction trend observed in SOC (-12.7% yr-1) during that phase may be significantly attributed to the notably higher reduction rate in primary carbonaceous components, as secondary organic aerosol (SOA) formation can be enhanced in the presence of primary organic aerosol (POA). Our findings provide a new insight into assessing the effectiveness of emission control measures on SOC trend.
How to cite: Zhou, C., Nie, W., Chi, X., Zhu, C., and Ding, A.: Assessment the effect of emission reductions on long-term trend in carbonaceous aerosols from 2014 to 2021 in eastern China, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-17382, https://doi.org/10.5194/egusphere-egu25-17382, 2025.
Short-term interventions may create a false sense of progress in addressing air quality issues. We find that despite the implementation of several short-term strategies during the coronavirus disease 2019 (COVID-19) pandemic, such as traffic restrictions, the anticipated improvements in air quality were not realized. On the contrary, the regional transportation of pollutants and the formation of secondary aerosols may still influence the air quality. Through a comprehensive analysis of air quality data collected before, during, and after the interventions in COVID-19, employing nonlinear statistical methods to assess changes in key pollutants, it can be inferred that the long-term memory mechanisms, nonlinear dynamic mechanisms of the atmospheric system play a crucial role in the evolution of air pollutants. Thus, the short-term human intervention did not significantly improve urban air quality. Besides, when pollution processes occur, the reason may not be unique, we must comprehensively interpret it. Policymakers are encouraged to consider more comprehensive and long-term strategies that integrate continuous monitoring and evaluation of air quality interventions.
How to cite: Li, W. and Qu, C.: Short-term human intervention did not significantly improve urban air quality, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-10177, https://doi.org/10.5194/egusphere-egu25-10177, 2025.
This study investigates the speciation of the total oxides of nitrogen (NOy) in Taichung, Taiwan, which is a highly developed urban area. Positive correlation between the daily mean of PM2.5 and the daytime (8-hr) mean of O3 shows that photochemical reactions are the major mechanisms underlying the observed air pollution phenomena. Furthermore, a strong linear correlation between the ambient levels of PM2.5 and NOz (NOy-NOx) found during the high PM episodes evidences that the atmospheric oxidation of NOx is the key processes leading to the air quality deterioration in the urban area. An in-depth analysis on the variations in the NOy composition as well as in the ozone precursors (VOCs and NOx) will be presented, and the significance of atmospheric oxidation capacity in the urban air quality is highlighted.
How to cite: Chou, C. and Lin, C.-Y.: A study on the speciation of NOy and its implications for the atmospheric oxidation capacity in Taichung, Taiwan, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-14428, https://doi.org/10.5194/egusphere-egu25-14428, 2025.
Changchun is a city in Northeast China influenced by diverse aerosol sources and particulate matter (PM), including emissions from industrial activities, traffic, biomass burning, and mineral dust transport from deserts in the West. The aerosol property data are now accessible through the newly installed sun-sky-lunar CE318-T photometer. We are monitoring the PM1, PM2.5, and PM10 levels in two city regions in situ using the AirVisual sensors. This study analyses day and night observations from AERONET and AirVisual sensors. Key aerosol properties, such as aerosol optical depth (for total, coarse, and fine modes), Angstrom Exponent, and particle size distribution, are analyzed for different times of the day. Additionally, the concentrations of PM1, PM2.5, and PM10 during daytime and nighttime are evaluated to identify daily patterns in aerosol behavior. The findings reveal temporal variations in aerosol composition that reflect changes in atmospheric conditions, differences between outdoor-indoor concentrations, and shifts in their sources. These results provide insights into the dynamics of atmospheric aerosols, highlighting their impact on air quality and regional climate during both day and night. This comprehensive analysis contributes to a deeper understanding of aerosol behavior and its environmental implications.
How to cite: Wei, X., Yukhymchuk, Y., Milinevsky, G., Gao, X., and Shi, Y.: Day and night variations in aerosol properties and particulate matter in Changchun, China, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-7639, https://doi.org/10.5194/egusphere-egu25-7639, 2025.
In this study, we explore how changes in emissions affect future air quality in the Central European region while assuming that climate changes are minimal. For this, we used two future scenarios (RCP4.5 and RCP8.5) for the periods 2026-2035 and 2046-2055. With advanced modelling tools, we simulated the current and future air pollution levels.
Five simulations have been conducted so far: one with present-day conditions (2010-2019) and four with future emission scenarios. The present-day conditions were validated by comparing the simulated results for pollutants like oxides of nitrogen, ozone and particulate matter with observed data. The validation revealed that the models generally underestimated pollutant levels (except for ozone).
The analysis of future projections indicate a general decrease in most pollutants’ concentrations. Some exceptions occur, however, such as with ozone during the winter months. Despite the uncertainties intrinsic to the modelling process, this study helps understand how reductions in emissions can lead to improved air-quality.
How to cite: Prieto Perez, A. P. and Huszar, P.: Modelling emission-driven air-quality changes over Central Europe, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-6389, https://doi.org/10.5194/egusphere-egu25-6389, 2025.
This study extends previous research analysing the long-term measurement records of surface ozone (O3) across Ireland, focusing on the Mace Head atmospheric research station. Due to its proximity to the Atlantic, Ireland plays a vital role in O3 monitoring, influenced by local and long-range pollutant transport. Using innovative trajectory analysis techniques, exceedances of O3 concentrations linked to different pollution sectors were identified, revealing distinct seasonal patterns. The findings show a significant rising trend in surface O3 at urban sites over the past two decades but without a similar trend at coastal sites. The highest O3 levels and exceedances at coastal sites, less influenced by local emissions, are heavily influenced by meteorological processes, including transboundary pollution and stratospheric intrusion. Observations at coastal sites reveal seasonal cycles with a springtime maximum. At Mace Head, a declining trend is observed in springtime O3 levels, contrasted with a rising trend during the winter months. When examining data from the clean-air sector, similar springtime declines are observed; however, a rise in winter is not seen, implying that the rising wintertime trends are a response to decreasing European emissions and the weekend effect. It is found that during the spring season, exceedances correlate with high maxima. To complement these observations, advanced modelling is used to quantify O3 contributions from various sources, elucidating key drivers behind the observed changes. The analysis indicates that European emissions play a significant role during the summer months, while North American emissions are comparable during other seasons. The elevated springtime O3 levels are primarily attributed to stratospheric transport, influences from westerly transboundary air pollution, and nitrogen oxides from lightning activity. Trend analysis reveals that reductions in baseline O3 levels and early-spring exceedances require targeted methane mitigation, while overall emission reductions are essential to curb exceedances across seasons. Late-spring and summer exceedances can be effectively reduced by addressing European and local pollution sources. This research highlights the importance of seasonal factors in air quality management across Ireland, emphasizing the need for a multi-faceted approach to control O3 levels and reduce exceedances through global and regional emission reductions.
How to cite: Korhale, N., Coleman, L., Ansari, T., and Butler, T.: Long-Term Trends in Surface Ozone Over Ireland: Insights from long-term measurement dataset and advanced model contributions., EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-10011, https://doi.org/10.5194/egusphere-egu25-10011, 2025.
Posters virtual: Wed, 30 Apr, 14:00–15:45 | vPoster spot 5
EGU25-3222 | ECS | Posters virtual | VPS3
City-level Disparities in NOX Emission Trends and Their Inhibitory Effects on O3 Mitigation in ChinaWed, 30 Apr, 14:00–15:45 (CEST) vPoster spot 5 | vP5.34
As a major air pollutant and precursor of ozone (O3), anthropogenic nitrogen oxides (NOX = NO + NO2) have been effectively controlled in China since peaking around 2012. However, the evolving contrast of emissions across cities and its impacts on secondary pollutants such as O3 remain poorly understood, primarily due to the limitations of existing emission inventories. Here we track the historical high-resolution (5 km) NOX emissions based on POMINO-OMI and POMINO-TROPOMI NO2 VCDs, adopting our previously developed inversion, PHLET. The results demonstrate significantly weaker NOX emission declines in economically small cities where environmental pollution received much less attentions, leading to a shift of emission burdens toward western and non-capital cities. Moreover, simulations based on GEOS-Chem indicate that such disparities in NOX emission trends have inhibited the mitigation of O3 mainly in the western China, and even added up to the O3 increase in some areas of the North China Plain. Our study points to the value of satellite-based inversion to access historical environmental regulations, and emphasizes the importance of collaborative pollution control across regions for comprehensive pollution control in China and other Global South countries undergoing rapid emission changes.
How to cite: Kong, H., Lin, J., Chen, L., Zhang, Y., and Wang, S.: City-level Disparities in NOX Emission Trends and Their Inhibitory Effects on O3 Mitigation in China, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-3222, https://doi.org/10.5194/egusphere-egu25-3222, 2025.
EGU25-5297 | Posters virtual | VPS3
Sulfur dioxide trends in Iranian urban areas: assessing the impact of mitigation policiesWed, 30 Apr, 14:00–15:45 (CEST) | vP5.35