UP2.5 | Chemistry-climate interactions over scales
Chemistry-climate interactions over scales
Conveners: Tomas Halenka, Ranjeet Sokhi, Alexander Baklanov, Natália Machado Crespo
Orals Tue1
| Tue, 09 Sep, 09:00–10:30 (CEST)
 
Room E3+E4
Posters P-Tue
| Attendance Tue, 09 Sep, 16:00–17:15 (CEST) | Display Mon, 08 Sep, 08:00–Tue, 09 Sep, 18:00
 
Grand Hall, P67–68
Tue, 09:00
Tue, 16:00
While overall the global warming with the causes and global processes connected to well-mixed CO2, and its impacts on global to continental scales are well understood with a high level of confidence, there are knowledge gaps concerning the impact of many other non-CO2 radiative forcers leading to low confidence in the conclusions. This relates mainly to specific anthropogenic and natural precursor emissions of short-lived GHGs and aerosols and their precursors. The anthropogenic origin is connected to large extent with the urban environment. These gaps and uncertainties also exist in their subsequent effects on atmospheric chemistry and climate, through direct emissions dependent on changes in e.g., agriculture production and technologies based on scenarios for future development as well as feedbacks of global warming on emissions, e.g., permafrost thaw. There are a few recent and ongoing EU projects on these topics, like FOCI, OptimESM, CERTAINTY, FORCeS, RESCUE.

Contributions on global to local emissions of such atmospheric constituents and their role in chemistry climate interactions are expected. Their implementation into ESM in global scale as well as in RCM coupled with CTM for regional and local scales can be dealt by the contributions as well, from emission driven simulations in ESM to the local interaction and impacts on climate and vice versa, i.e. climate change affecting local air-quality conditions. Contributions on synergies and benefits in climate change mitigation as well as side impacts on health and environment from the mitigation of air pollution are most welcome as well.

Orals: Tue, 9 Sep, 09:00–10:30 | Room E3+E4

Chairperson: Tomas Halenka
09:00–09:15
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EMS2025-671
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Onsite presentation
Tomas Halenka, Ranjeet Sokhi, and Sandro Finardi

While overall the global warming with the causes and global processes connected to well-mixed CO2, and its impacts on global to continental scales are well understood with a high level of confidence, there are knowledge gaps concerning the impact of many other non-CO2 radiative forcers leading to low confidence in the conclusions. This relates mainly to specific anthropogenic and natural precursor emissions of short-lived GHGs and aerosols and their precursors. The anthropogenic origin is connected to large extent with the urban environment. These gaps and uncertainties also exist in their subsequent effects on atmospheric chemistry and climate, through direct emissions dependent on changes in e.g., agriculture production and technologies based on scenarios for future development as well as feedbacks of global warming on emissions, e.g., permafrost thaw.

The main goal of the EC Horizon Europe project FOCI, is to assess the impact of key radiative forcers, where and how they arise, the processes of their impact on the climate system, to find and test an efficient implementation of these processes into global Earth System Models and into Regional Climate Models coupled with CTMs, and finally to use the tools developed to investigate mitigation and/or adaptation policies incorporated in selected scenarios of future development targeted at Europe and other regions of the world, with final emphasis to selected cities environment in convection permitting scale. We will develop new regionally tuned scenarios based on improved emissions to assess the effects of non-CO2 forcers. Mutual interactions of the results and climate services producers and other end-users will provide feedbacks for the specific scenarios optimization and potential application to support the decision making, including climate policy.

Overall introduction to coupled RCM-CTM modelling experiment strategies and preliminary results will be presented in addition to the contemporary status of the project.

How to cite: Halenka, T., Sokhi, R., and Finardi, S.: Project FOCI - Non-CO2 Forcers and Their Climate, Weather, Air Quality and Health Impacts: Modelling of Chemistry-Climate Interactions Across the Scales, EMS Annual Meeting 2025, Ljubljana, Slovenia, 7–12 Sep 2025, EMS2025-671, https://doi.org/10.5194/ems2025-671, 2025.

Show EMS2025-671 recording (14min) recording
09:15–09:30
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EMS2025-484
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Onsite presentation
Sandro Finardi, Somayyeh Arghavani, Nicola Pepe, Ummugulsum Alyuz, Camillo Silibello, and Ranjeet Sokhi

The main objective of the Horizon Europe project FOCI (non-CO2 Forcers and their Climate, Weather, Air Quality and Health Impacts) is to improve our knowledge of individual and cumulative contribution of non-CO2 radiative forcers and their precursors on climate and air quality. Due to their short lifetime and their non-uniform emission footprint, the short-lived climate forcers (SLCF) are expected to have different impacts at regional scale. To describe and assess the impact of SLCF, we have developed a framework of coupling global climate model, EC-Earth3, to regional climate models (RCMs), to conduct historical simulations over Europe using CEDS SLCF emissions and LUCAS land cover to maintain consistency with CMIP6 simulations. During the first phase of the project RCMs, consisting of meteorological and chemical transport models WRF+CMAQ and WRF+FARM, have been applied over the CORDEX European domain for years 2005 -19 driven by ERA5 meteorological and CAMS global atmospheric composition reanalyses to provide an historical baseline simulation to be compared and verified versus observations and existing meteorological and tracers’ concentration reanalyses. The verification of the modelling systems performances reconstructing meteorological variables, pollutants’ concentration and their variability observed during the historical period is necessary to validate their planned downstream use to downscale EC-Earth3 CMIP6 simulations under the SSP3.7.0 and SSP3.7.0-lowNCTF scenarios. Meteorological variables compared positively with METAR observations at selected locations. Temperature increasing trend shows intensity and spatial features coherent with those depicted by existing analyses, with a limited negative bias on the annual mean values with respect to both analyses and selected stations (BIAS=-0.7 − +0.3 K; RMSE=1.6 − 2.2 K; correlation=0.97 − 0.98). Wind speed shows positive comparison with mixed bias values at selected airport locations (BIAS=-0.8 − +0.4 m/s; RMSE=1.2 − 2.1 m/s; correlation=0.48 − 0.80) similarly to relative humidity (BIAS=-5.3 − +6.4 %; RMSE=9 − 16 %; correlation=0.71 − 0.85). Precipitation fields have structure coherent with that of other analyses with increased resolution and different biases with respect to different analyses. Wind and precipitation show varying trends on different areas of the continent. Climate stressors trends will be compared too. Concentrations of the main pollutants show space distribution and values range similar to those shown by existing reanalyses (e.g. CAMS global and CAMS regional ensemble median). Local differences and biases are preliminary attributed to the significant differences of the emission inventories supporting RCMs simulations and existing analyses. Historical atmospheric composition simulations will be completed by early summer and a thorough comparison with observations and reanalyses will be presented at the meeting.

How to cite: Finardi, S., Arghavani, S., Pepe, N., Alyuz, U., Silibello, C., and Sokhi, R.: Historical (2005-2019) reconstruction of regional scale climate and atmospheric composition over Europe, EMS Annual Meeting 2025, Ljubljana, Slovenia, 7–12 Sep 2025, EMS2025-484, https://doi.org/10.5194/ems2025-484, 2025.

Show EMS2025-484 recording (14min) recording
09:30–09:45
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EMS2025-270
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Onsite presentation
Natália Machado Crespo, Peter Huszár, Jan Karlický, Anahí Villalba Pradas, Michal Belda, and Tomáš Halenka

Work Package 4 of the FOCI project (“Non-CO2 Forcers and their Climate, Weather, Air Quality and Health Impacts”; https://www.project-foci.eu/wp/) is tasked with tuning, testing, and conducting long-term simulations to validate various regional models in downscaling of reanalysis and global climate models for historical period. The long-term simulations are performed by RegCM5-Chem and WRF-Chem, both of which are coupled with chemistry over the European domain. A notable aspect of this work is the use of RegCM5-Chem for long-term simulations, which is a novel approach within the community. Besides that, the land cover is dynamic, derived from the Land Use and Climate Across Scales flagship pilot study of the EURO-CORDEX initiative. The initial and boundary conditions for the atmospheric variables and chemical composition were created from the European Centre for Medium-Range Weather Forecasts (ECMWF) reanalysis version 5 (ERA5) and Atmospheric Composition Reanalysis 4 (EAC4) datasets. Emissions of atmospheric pollutants and greenhouse gases are obtained from the Copernicus Atmosphere Monitoring Service (CAMS) high-resolution European emission inventory for air quality modeling. E-OBS is utilized for validating the outputs. Sensitivity tests have shown that coupled chemistry impacts surface meteorological variables, such as temperature and shortwave radiation. In this study, we will evaluate these variables in greater detail, as well as examine how this coupling affects precipitation and surface wind speed. It is important to note that the chemical mechanism enables interactive coupling between modeled ozone and its radiative effects, as well as between gas-phase chemical processes and aerosol formation. These interactions, in turn, have feedback on the radiative, thermodynamic, and dynamic fields. This evaluation is crucial for enabling further comparisons with simulations driven by EC-Earth-AerChem in both present and future climates, as part of FOCI Work Package 6.

How to cite: Machado Crespo, N., Huszár, P., Karlický, J., Villalba Pradas, A., Belda, M., and Halenka, T.: Impact of the online climate-chemistry in regional climate simulations in meteorological variables over Europe, EMS Annual Meeting 2025, Ljubljana, Slovenia, 7–12 Sep 2025, EMS2025-270, https://doi.org/10.5194/ems2025-270, 2025.

09:45–10:00
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EMS2025-708
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Onsite presentation
Sandro Finardi, Camillo Silibello, and Paola Radice

Biogenic Volatile Organic Compounds (BVOCs) are organic trace gases mainly composed by isoprenoids, alcohols, carbonyls and acids, released in the atmosphere by terrestrial plants. Since some isoprenoids react with OH radical and O3 much faster than many anthropogenic VOC, their emission can affect the tropospheric levels of O3, photochemical oxidants and secondary organic aerosols (SOA). Various tree species are characterized by quite different emission factors for BVOCs, ranging from neglectable to significant values. A plant-specific emission model (PSEM) based on a detailed mapping of the tree species of forest covered areas can produce a quite different BVOC emission flux, with respect to models based on a Plant Functional Type (PFT) approach. The impact of a species-specific estimate of BVOC emissions over Europe has been estimated through the comparison with PFT approach results to evaluate the impact of a detailed vegetation mapping to improve BVOC emissions estimate. The comparison showed that PSEM estimates lower isoprene than both MEGAN V2.1 and V3.2, potentially driving a smaller impact on ozone production, and terpenes emissions higher than MEGAN V2.1 but lower than V3.2, with possible larger/smaller impact on SOA production. The expected increase of BVOC emissions due to the climate change forcing has been estimated computing the percent variation of isoprene and monoterpenes emission over a decade period. Different geographic areas of significant extention show increases exceeding 25% of the mean values estimated during the 2000-2019 period, with larger increases over eastern continental Europe and parts of the Mediterranean basin. PSEM estimates larger increases than CAMS-GLOB-BIO v3.0. The expectable BVOC emission change under future climatic conditions has been estimated considering the meteorological conditions predicted by EC-Earth3 CMIP6 simulation of the SSP 3.7.0 scenario. The mean emissions predicted for 2045-2055 have been compared with those computed by PSEM over a coherent subset for the historical period covering the last 11 years (2009-2019). The space distribution of the emissions does not change in the future scenario and a general increase of emissions is predicted for all the considered chemical species, mainly due to the predicted increase of both temperature and radiation flux. The most significant increase of emissions is concentrated over central and eastern Mediterranean and over the Balkan peninsula for isoprene, while it appears more extended over eastern continental Europe and southern Scandinavia for monoterpenes and sesquiterpenes. 

How to cite: Finardi, S., Silibello, C., and Radice, P.: BVOC emissions in a changing climate: comparison of plant-specific and plat functional type emission models, EMS Annual Meeting 2025, Ljubljana, Slovenia, 7–12 Sep 2025, EMS2025-708, https://doi.org/10.5194/ems2025-708, 2025.

Show EMS2025-708 recording (14min) recording
10:00–10:15
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EMS2025-710
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Onsite presentation
Alexander Baklanov

Climate change in the Arctic and high-latitude regions is about 2-4 times more intensive than it is observed on average globally. Urbanization is accelerating globally, also in Northern high latitudes. This trend causes transformation in the geosphere, biosphere, pedosphere, atmosphere and hydrosphere, affecting the human-environment system over both short- and long-term timescales. Cities represent a complex and highly dynamic interface between Earth components (atmosphere, land, water, etc.) and societal factors (health, social equity, life quality, economy, etc.). At the same time, cities are very sensitive to climate change. This vulnerability is strongly pronounced in the North, especially in the Arctic, a region has direct and indirect impacts on the local livelihoods, infrastructure, water resources, ecology and air quality. Previous studies of urban sensitivity to climate change have mostly focused on lower and mid-latitude cities and rarely considered analysis of Northern/Arctic cities. Due to the specific climatic conditions and societal organization Northern cities embrace many challenges in the advancement of knowledge about physical, chemical, ecological, socio-economic and environmental change, their relationships and implications for the human-environment system. Some of the important issues that require in-depth studies include the effects of urban meteorology such as heat islands and the interactions of stably stratified boundary layers with urban elevated air pollution episodes in a changing climate. In addition, as urbanization progresses and lifestyles globalize, the need for agricultural and industrial products increases. This poses environmental challenges in both cases, local production (unique ecosystems) and transportation to the Arctic (infrastructure development). Moreover, due to the cold weather conditions, high-energy consumption is typical of northern cities. With limited potential for renewable energy generation, adopting sustainable life styles is of particular challenge.

In the Arctic, particularly considering the present status, indigenous communities and population level, the urbanization process involves a large spectrum of settlements of various sizes. In order to understand the social-environmental effects of urbanization under rapid climate change a multiscale approach is necessary in order to be beneficial to the whole Arctic society. In this presentation we are analyzing specific problems of climate change consequences for northern cities including risks, challenges, optimal ways for mitigations and adaptation to climate change and strategy for their climate-smart, resilient and sustainable development.

How to cite: Baklanov, A.: Climate change and northern cities: risks, challenges and strategy for climate-smart, resilient and sustainable development, EMS Annual Meeting 2025, Ljubljana, Slovenia, 7–12 Sep 2025, EMS2025-710, https://doi.org/10.5194/ems2025-710, 2025.

10:15–10:30
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EMS2025-3
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Onsite presentation
Mustafa Asfur and Jacob Silverman

In 2016, the World Meteorological Organization declared that lightning is an essential climate variable. To date, global change studies have only considered the effect of warming on lightning flash frequency and the global distribution of lightning activity. Furthermore, none of these studies considered the effects of climate change on lightning flash intensity. In our previous studies we suggested based on laboratory experiments that lightning intensity over water surfaces may be influenced by their chemical properties, including salinity (S), pH and total alkalinity (TA). In this study we tested the combined effects of changes in S, TA and pH in Mediterranean Sea surface water on the intensity of laboratory generated electrical sparks, which are considered to be analogous to cloud to sea-surface intensity of lightning discharges. The range of values tested in the lab correspond to changes in S, pH and TA of Mediterranean surface water that were caused by the anthropogenic climate change, ocean acidification and damming of the Nile in the 1960s. Where, the damming of the Nile is generally accepted to have caused nearly 30% of the total salination of Mediterranean surface water until now. The experimental results were used to develop a multivariate linear model of Lightning Flash Intensity (LFI) as a function of S, TA/S, which  and pH. The model was validated with wintertime (DJF) LFI measurements along a Mediterranean Sea zonal profile during the period 2009-2020 compared to corresponding climate model outputs of S, TA and pH. Based on this model, the combined effects of climate change, ocean acidification and the damming of the Nile, may have increased LFI in the Levantine Sea by 16±14% until now relative to the pre-Aswan Dam period. Furthermore, assuming that salinization and acidification of the Levantine Sea will continue at current trends, the LFI is predicted to increase by 25±13% by the year 2050.

How to cite: Asfur, M. and Silverman, J.:  Climate mediated changes in seawater chemistry and their potential effects on marine lightning intensity , EMS Annual Meeting 2025, Ljubljana, Slovenia, 7–12 Sep 2025, EMS2025-3, https://doi.org/10.5194/ems2025-3, 2025.

Show EMS2025-3 recording (17min) recording

Posters: Tue, 9 Sep, 16:00–17:15 | Grand Hall

Display time: Mon, 8 Sep, 08:00–Tue, 9 Sep, 18:00
Chairperson: Tomas Halenka
P67
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EMS2025-50
Jan Peiker, Jan Karlický, and Peter Huszár

Ozone is a strong oxidizing agent which makes it one of the most important pollutants in the troposphere. Its high concentrations can be harmful for fauna and flora, therefore it is necessary to monitor its climatological behavior. Air quality stations measure ozone concentrations at singular points and so to obtain the information over an area, chemistry-transport models (CTMs) can be used, which generate gridded fields of pollutant concentrations. Previous studies have shown however, that CTMs are sensitive to boundary conditions (BCs). If those BCs were generated using a global chemistry model, they may introduce additional biases. This represents a problem, since future concentration projections often use this type of BCs. Different ways to correct biases via postprocessing have been introduced in literature using station data, but such methodology may perform poorly when applied to simulations of high horizontal resolution. For this reason, we propose a new method that interpolates station quantile biases when compared to the model simulation. This kind of interpolation takes into account both spatial distribution of the concentrations within the domain as well as the statistical distributions within each model grid-cell. We used station data from Eionet to postprocess WRF-Chem and CAMx simulations utilizing different methods of bias correction. Our experimental setup consisted of the model domain of central Europe with horizontal resolution of 9 km. The simulations were conducted in the 10-year period of 2007-2016 with output timestep of 1 hour. The chemistry BCs of these simulations were taken from the global model SOCOLv4. Our current results show that our approach outperforms the ones found in literature, highlighting the possibility of using station data to correct climate projections of high resolution.

How to cite: Peiker, J., Karlický, J., and Huszár, P.: Using station data for bias correction of ground-level ozone concentrations, EMS Annual Meeting 2025, Ljubljana, Slovenia, 7–12 Sep 2025, EMS2025-50, https://doi.org/10.5194/ems2025-50, 2025.

P68
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EMS2025-271
Natália Machado Crespo, Peter Huszár, Jan Karlický, Anahí Villalba Pradas, Michal Belda, and Tomáš Halenka

The Work Package 4 of the FOCI project (“Non-CO2 Forcers and their Climate, Weather, Air Quality and Health Impacts”, https://www.project-foci.eu/wp/) is responsible for tuning, testing, and conducting long-term simulations to validate various regional models in downscaling of reanalysis and global climate models for historical period. The long-term simulations are performed by RegCM5-Chem and WRF-Chem, i.e., coupled with chemistry over the European domain. It is important to highlight here the use of RegCM5-Chem for the long-term simulation with full chemistry has been a novelty in the community. Since its previous version (RegCM4-Chem), the tropospheric gas-phase chemistry was introduced using the Carbon Bond Mechanism Z (CBM-Z) chemistry mechanism. This enabled for interactive coupling between the modelled ozone and its radiative effects as well as coupling between the gas-phase chemical processes and aerosol formation (production of nitrates and sulphates). The initial and boundary conditions for the atmospheric variables and chemical composition were created from the European Centre for Medium-Range Weather Forecasts (ECMWF) reanalysis version 5 (ERA5) and Atmospheric Composition Reanalysis 4 (EAC4) datasets. The emissions of atmospheric pollutants and greenhouse gases are taken from the Copernicus Atmosphere Monitoring Service (CAMS) high-resolution European emission inventory for air quality modelling. The CAMS Regional European air quality reanalyses are used for validating the outputs. Preliminary results for one year simulation show that both models underestimate particulate matter concentrations over the domain in boreal summer. Nitrogen dioxide is mostly overestimated by RegCM-Chem and the opposite occurs in WRF-Chem. Ozone is generally underestimated by both models but overestimated southern 50°N in RegCM-Chem. The long-term evaluation will consider further species, such as methane and sulphur dioxide, and will be represented in terms of seasonal biases regarding the observations.

How to cite: Machado Crespo, N., Huszár, P., Karlický, J., Villalba Pradas, A., Belda, M., and Halenka, T.: Evaluation of chemical species in regional climate simulations from FOCI project over Europe, EMS Annual Meeting 2025, Ljubljana, Slovenia, 7–12 Sep 2025, EMS2025-271, https://doi.org/10.5194/ems2025-271, 2025.