Articles | Volume 18, issue 18
https://doi.org/10.5194/acp-18-13411-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-18-13411-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Exploration of the influence of environmental conditions on secondary organic aerosol formation and organic species properties using explicit simulations: development of the VBS-GECKO parameterization
Victor Lannuque
LISA, UMR CNRS 7583, IPSL, Université Paris Est Créteil and Université Paris Diderot, 94010 Créteil CEDEX, France
INERIS, National Institute for Industrial Environment and Risks, Parc Technologique ALATA, 60550 Verneuil-en-Halatte, France
Agence de l'Environnement et de la Maîtrise de l'Energie, 20 avenue du Grésillé – BP 90406, 49004 Angers CEDEX 01, France
Marie Camredon
CORRESPONDING AUTHOR
LISA, UMR CNRS 7583, IPSL, Université Paris Est Créteil and Université Paris Diderot, 94010 Créteil CEDEX, France
Florian Couvidat
INERIS, National Institute for Industrial Environment and Risks, Parc Technologique ALATA, 60550 Verneuil-en-Halatte, France
Alma Hodzic
National Center for Atmospheric Research, Boulder, CO, USA
Laboratoire d'Aérologie, Observatoire Midi-Pyrénées, Université Paul Sabatier, CNRS, Toulouse, France
Richard Valorso
LISA, UMR CNRS 7583, IPSL, Université Paris Est Créteil and Université Paris Diderot, 94010 Créteil CEDEX, France
Sasha Madronich
National Center for Atmospheric Research, Boulder, CO, USA
Bertrand Bessagnet
INERIS, National Institute for Industrial Environment and Risks, Parc Technologique ALATA, 60550 Verneuil-en-Halatte, France
Bernard Aumont
CORRESPONDING AUTHOR
LISA, UMR CNRS 7583, IPSL, Université Paris Est Créteil and Université Paris Diderot, 94010 Créteil CEDEX, France
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Large uncertainties remain in understanding secondary organic aerosol (SOA) formation and speciation from naphthalene oxidation. This study details the development of the first near-explicit chemical scheme for naphthalene oxidation by OH, which includes kinetic and mechanistic data, and is able to reproduce most of the experimentally identified products in both gas and particle phases.
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Atmos. Chem. Phys., 25, 3049–3107, https://doi.org/10.5194/acp-25-3049-2025, https://doi.org/10.5194/acp-25-3049-2025, 2025
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The residential sector can cause high background levels of pollutants and pollution peaks in winter. Its emissions are dominated by space heating and show strong daily variations linked to changes in outside temperature. Using heating degree days, we provide country- and species-dependent parameters for the distribution of these emissions, improving the performance of the CHIMERE air quality model. This also allows annual residential emissions to be projected before official publications.
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Long-term (2015–2021) quasi-continuous measurements have been obtained at 13 French urban sites using online mass spectrometry, to acquire the comprehensive chemical composition of submicron particulate matter. The results show their spatial and temporal differences and confirm the predominance of organics in France (40–60 %). These measurements can be used for many future studies, such as trend and epidemiological analyses, or comparisons with chemical transport models.
Lauri Franzon, Marie Camredon, Richard Valorso, Bernard Aumont, and Theo Kurtén
Atmos. Chem. Phys., 24, 11679–11699, https://doi.org/10.5194/acp-24-11679-2024, https://doi.org/10.5194/acp-24-11679-2024, 2024
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In this article we investigate the formation of large, sticky molecules from various organic compounds entering the atmosphere as primary emissions and the degree to which these processes may contribute to organic aerosol particle mass. More specifically, we qualitatively investigate a recently discovered chemical reaction channel for one of the most important short-lived radical compounds, peroxy radicals, and discover which of these reactions are most atmospherically important.
Matthieu Vida, Gilles Foret, Guillaume Siour, Florian Couvidat, Olivier Favez, Gaelle Uzu, Arineh Cholakian, Sébastien Conil, Matthias Beekmann, and Jean-Luc Jaffrezo
Atmos. Chem. Phys., 24, 10601–10615, https://doi.org/10.5194/acp-24-10601-2024, https://doi.org/10.5194/acp-24-10601-2024, 2024
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We simulate 2 years of atmospheric fungal spores over France and use observations of polyols and primary biogenic factors from positive matrix factorisation. The representation of emissions taking into account a proxy for vegetation surface and specific humidity enables us to reproduce very accurately the seasonal cycle of fungal spores. Furthermore, we estimate that fungal spores can account for 20 % of PM10 and 40 % of the organic fraction of PM10 over vegetated areas in summer.
Victor Lannuque and Karine Sartelet
Atmos. Chem. Phys., 24, 8589–8606, https://doi.org/10.5194/acp-24-8589-2024, https://doi.org/10.5194/acp-24-8589-2024, 2024
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Large uncertainties remain in understanding secondary organic aerosol (SOA) formation and speciation from naphthalene oxidation. This study details the development of the first near-explicit chemical scheme for naphthalene oxidation by OH, which includes kinetic and mechanistic data, and is able to reproduce most of the experimentally identified products in both gas and particle phases.
Alice Maison, Lya Lugon, Soo-Jin Park, Alexia Baudic, Christopher Cantrell, Florian Couvidat, Barbara D'Anna, Claudia Di Biagio, Aline Gratien, Valérie Gros, Carmen Kalalian, Julien Kammer, Vincent Michoud, Jean-Eudes Petit, Marwa Shahin, Leila Simon, Myrto Valari, Jérémy Vigneron, Andrée Tuzet, and Karine Sartelet
Atmos. Chem. Phys., 24, 6011–6046, https://doi.org/10.5194/acp-24-6011-2024, https://doi.org/10.5194/acp-24-6011-2024, 2024
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This study presents the development of a bottom-up inventory of urban tree biogenic emissions. Emissions are computed for each tree based on their location and characteristics and are integrated in the regional air quality model WRF-CHIMERE. The impact of these biogenic emissions on air quality is quantified for June–July 2022. Over Paris city, urban trees increase the concentrations of particulate organic matter by 4.6 %, of PM2.5 by 0.6 %, and of ozone by 1.0 % on average over 2 months.
Tommaso Galeazzo, Bernard Aumont, Marie Camredon, Richard Valorso, Yong B. Lim, Paul J. Ziemann, and Manabu Shiraiwa
Atmos. Chem. Phys., 24, 5549–5565, https://doi.org/10.5194/acp-24-5549-2024, https://doi.org/10.5194/acp-24-5549-2024, 2024
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Secondary organic aerosol (SOA) derived from n-alkanes is a major component of anthropogenic particulate matter. We provide an analysis of n-alkane SOA by chemistry modeling, machine learning, and laboratory experiments, showing that n-alkane SOA adopts low-viscous semi-solid or liquid states. Our results indicate few kinetic limitations of mass accommodation in SOA formation, supporting the application of equilibrium partitioning for simulating n-alkane SOA in large-scale atmospheric models.
Philippe Thunis, Jeroen Kuenen, Enrico Pisoni, Bertrand Bessagnet, Manjola Banja, Lech Gawuc, Karol Szymankiewicz, Diego Guizardi, Monica Crippa, Susana Lopez-Aparicio, Marc Guevara, Alexander De Meij, Sabine Schindlbacher, and Alain Clappier
Geosci. Model Dev., 17, 3631–3643, https://doi.org/10.5194/gmd-17-3631-2024, https://doi.org/10.5194/gmd-17-3631-2024, 2024
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An ensemble emission inventory is created with the aim of monitoring the status and progress made with the development of EU-wide inventories. This emission ensemble serves as a common benchmark for the screening and allows for the comparison of more than two inventories at a time. Because the emission “truth” is unknown, the approach does not tell which inventory is the closest to reality, but it identifies inconsistencies that require special attention.
Laurent Menut, Bertrand Bessagnet, Arineh Cholakian, Guillaume Siour, Sylvain Mailler, and Romain Pennel
Geosci. Model Dev., 17, 3645–3665, https://doi.org/10.5194/gmd-17-3645-2024, https://doi.org/10.5194/gmd-17-3645-2024, 2024
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This study is about the modelling of the atmospheric composition in Europe during the summer of 2022, when massive wildfires were observed. It is a sensitivity study dedicated to the relative impacts of two modelling processes that are able to modify the meteorology used for the calculation of the atmospheric chemistry and transport of pollutants.
Alexander de Meij, Cornelis Cuvelier, Philippe Thunis, Enrico Pisoni, and Bertrand Bessagnet
Geosci. Model Dev., 17, 587–606, https://doi.org/10.5194/gmd-17-587-2024, https://doi.org/10.5194/gmd-17-587-2024, 2024
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In our study the robustness of the model responses to emission reductions in the EU is assessed when the emission data are changed. Our findings are particularly important to better understand the uncertainties associated to the emission inventories and how these uncertainties impact the level of accuracy of the resulting air quality modelling, which is a key for designing air quality plans. Also crucial is the choice of indicator to avoid misleading interpretations of the results.
Victor Lannuque, Barbara D'Anna, Evangelia Kostenidou, Florian Couvidat, Alvaro Martinez-Valiente, Philipp Eichler, Armin Wisthaler, Markus Müller, Brice Temime-Roussel, Richard Valorso, and Karine Sartelet
Atmos. Chem. Phys., 23, 15537–15560, https://doi.org/10.5194/acp-23-15537-2023, https://doi.org/10.5194/acp-23-15537-2023, 2023
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Large uncertainties remain in understanding secondary organic aerosol (SOA) formation from toluene oxidation. In this study, speciation measurements in gaseous and particulate phases were carried out, providing partitioning and volatility data on individual toluene SOA components at different temperatures. A new detailed oxidation mechanism was developed to improve modeled speciation, and effects of different processes involved in gas–particle partitioning at the molecular scale are explored.
Jian Guan, Susan Solomon, Sasha Madronich, and Douglas Kinnison
Atmos. Chem. Phys., 23, 10413–10422, https://doi.org/10.5194/acp-23-10413-2023, https://doi.org/10.5194/acp-23-10413-2023, 2023
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This paper provides a novel method to obtain a global and accurate photodissociation coefficient for NO2 (J(NO2)) based on satellite data, and the results are shown to be consistent with model results. The J(NO2) value decreases as the solar zenith angle increases and has a weak altitude dependence. A key finding is that the satellite-derived J(NO2) increases in the polar regions, in good agreement with model predictions, due to the effects of ice and snow on surface albedo.
Laurent Menut, Arineh Cholakian, Guillaume Siour, Rémy Lapere, Romain Pennel, Sylvain Mailler, and Bertrand Bessagnet
Atmos. Chem. Phys., 23, 7281–7296, https://doi.org/10.5194/acp-23-7281-2023, https://doi.org/10.5194/acp-23-7281-2023, 2023
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This study is about the wildfires occurring in France during the summer 2022. We study the forest fires that took place in the Landes during the summer of 2022. We show the direct impact of these fires on the air quality, especially downstream of the smoke plume towards the Paris region. We quantify the impact of these fires on the pollutants peak concentrations and the possible exceedance of thresholds.
Rémy Lapere, Nicolás Huneeus, Sylvain Mailler, Laurent Menut, and Florian Couvidat
Atmos. Chem. Phys., 23, 1749–1768, https://doi.org/10.5194/acp-23-1749-2023, https://doi.org/10.5194/acp-23-1749-2023, 2023
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Glaciers in the Andes of central Chile are shrinking rapidly in response to global warming. This melting is accelerated by the deposition of opaque particles onto snow and ice. In this work, model simulations quantify typical deposition rates of soot on glaciers in summer and winter months and show that the contribution of emissions from Santiago is not as high as anticipated. Additionally, the combination of regional- and local-scale meteorology explains the seasonality in deposition.
Zhizhao Wang, Florian Couvidat, and Karine Sartelet
Geosci. Model Dev., 15, 8957–8982, https://doi.org/10.5194/gmd-15-8957-2022, https://doi.org/10.5194/gmd-15-8957-2022, 2022
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Air quality models need to reliably predict secondary organic aerosols (SOAs) at a reasonable computational cost. Thus, we developed GENOA v1.0, a mechanism reduction algorithm that preserves the accuracy of detailed gas-phase chemical mechanisms for SOA formation, thereby improving the practical use of actual chemistry in SOA models. With GENOA, a near-explicit chemical scheme was reduced to 2 % of its original size and computational time, with an average error of less than 3 %.
Etienne Terrenoire, Didier A. Hauglustaine, Yann Cohen, Anne Cozic, Richard Valorso, Franck Lefèvre, and Sigrun Matthes
Atmos. Chem. Phys., 22, 11987–12023, https://doi.org/10.5194/acp-22-11987-2022, https://doi.org/10.5194/acp-22-11987-2022, 2022
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Aviation NOx emissions not only have an impact on global climate by changing ozone and methane levels in the atmosphere, but also contribute to the deterioration of local air quality. The LMDZ-INCA global model is applied to re-evaluate the impact of aircraft NOx and aerosol emissions on climate. We investigate the impact of present-day and future (2050) aircraft emissions on atmospheric composition and the associated radiative forcings of climate for ozone, methane and aerosol direct forcings.
Mauro Morichetti, Sasha Madronich, Giorgio Passerini, Umberto Rizza, Enrico Mancinelli, Simone Virgili, and Mary Barth
Geosci. Model Dev., 15, 6311–6339, https://doi.org/10.5194/gmd-15-6311-2022, https://doi.org/10.5194/gmd-15-6311-2022, 2022
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In the present study, we explore the effect of making simple changes to the existing WRF-Chem MEGAN v2.04 emissions to provide MEGAN updates that can be used independently of the land surface model chosen. The changes made to the MEGAN algorithm implemented in WRF-Chem were the following: (i) update of the emission activity factors, (ii) update of emission factor values for each plant functional type (PFT), and (iii) the assignment of the emission factor by PFT to isoprene.
Philippe Thunis, Alain Clappier, Enrico Pisoni, Bertrand Bessagnet, Jeroen Kuenen, Marc Guevara, and Susana Lopez-Aparicio
Geosci. Model Dev., 15, 5271–5286, https://doi.org/10.5194/gmd-15-5271-2022, https://doi.org/10.5194/gmd-15-5271-2022, 2022
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In this work, we propose a screening method to improve the quality of emission inventories, which are responsible for large uncertainties in air-quality modeling. The first step of screening consists of keeping only emission contributions that are relevant enough. In a second step, the method identifies large differences that provide evidence of methodological divergence or errors. We used the approach to compare two versions of the CAMS-REG European-scale inventory over 150 European cities.
Jean-Pierre Chaboureau, Laurent Labbouz, Cyrille Flamant, and Alma Hodzic
Atmos. Chem. Phys., 22, 8639–8658, https://doi.org/10.5194/acp-22-8639-2022, https://doi.org/10.5194/acp-22-8639-2022, 2022
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Ground-based, spaceborne and rare airborne observations of biomass burning aerosols (BBAs) during the AEROCLO-sA field campaign in 2017 are complemented with convection-permitting simulations with online trajectories. The results show that the radiative effect of the BBA accelerates the southern African easterly jet and generates upward motions that transport the BBAs to higher altitudes and farther southwest.
Karine Sartelet, Youngseob Kim, Florian Couvidat, Maik Merkel, Tuukka Petäjä, Jean Sciare, and Alfred Wiedensohler
Atmos. Chem. Phys., 22, 8579–8596, https://doi.org/10.5194/acp-22-8579-2022, https://doi.org/10.5194/acp-22-8579-2022, 2022
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A methodology is defined to estimate number emissions from an inventory providing mass emissions. Number concentrations are simulated over Greater Paris using different nucleation parameterisations (binary, ternary involving sulfuric acid and ammonia, and heteromolecular involving sulfuric acid and extremely low-volatility organics, ELVOCs). The comparisons show that ternary nucleation may not be a dominant process for new particle formation in cities, but they stress the role of ELVOCs.
Emily B. Franklin, Lindsay D. Yee, Bernard Aumont, Robert J. Weber, Paul Grigas, and Allen H. Goldstein
Atmos. Meas. Tech., 15, 3779–3803, https://doi.org/10.5194/amt-15-3779-2022, https://doi.org/10.5194/amt-15-3779-2022, 2022
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The composition of atmospheric aerosols are extremely complex, containing hundreds of thousands of estimated individual compounds. The majority of these compounds have never been catalogued in widely used databases, making them extremely difficult for atmospheric chemists to identify and analyze. In this work, we present Ch3MS-RF, a machine-learning-based model to enable characterization of complex mixtures and prediction of structure-specific properties of unidentifiable organic compounds.
Svetlana Tsyro, Wenche Aas, Augustin Colette, Camilla Andersson, Bertrand Bessagnet, Giancarlo Ciarelli, Florian Couvidat, Kees Cuvelier, Astrid Manders, Kathleen Mar, Mihaela Mircea, Noelia Otero, Maria-Teresa Pay, Valentin Raffort, Yelva Roustan, Mark R. Theobald, Marta G. Vivanco, Hilde Fagerli, Peter Wind, Gino Briganti, Andrea Cappelletti, Massimo D'Isidoro, and Mario Adani
Atmos. Chem. Phys., 22, 7207–7257, https://doi.org/10.5194/acp-22-7207-2022, https://doi.org/10.5194/acp-22-7207-2022, 2022
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Particulate matter (PM) air pollution causes adverse health effects. In Europe, the emissions caused by anthropogenic activities have been reduced in the last decades. To assess the efficiency of emission reductions in improving air quality, we have studied the evolution of PM pollution in Europe. Simulations with six air quality models and observational data indicate a decrease in PM concentrations by 10 % to 30 % across Europe from 2000 to 2010, which is mainly a result of emission reductions.
Elsa Real, Florian Couvidat, Anthony Ung, Laure Malherbe, Blandine Raux, Alicia Gressent, and Augustin Colette
Earth Syst. Sci. Data, 14, 2419–2443, https://doi.org/10.5194/essd-14-2419-2022, https://doi.org/10.5194/essd-14-2419-2022, 2022
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This paper describes a 16-year (2000–2015) dataset of air pollution concentrations and air quality indicators over France combining background measurements and modeling. Hourly concentrations and regulatory indicators of NO2, O3, PM10 and PM2.5 are produced with 4 km spatial resolution. The overall dataset has been cross-validated and showed overall very good results. We hope that this open-access publication will facilitate further studies on the impacts of air pollution.
Mike J. Newland, Camille Mouchel-Vallon, Richard Valorso, Bernard Aumont, Luc Vereecken, Michael E. Jenkin, and Andrew R. Rickard
Atmos. Chem. Phys., 22, 6167–6195, https://doi.org/10.5194/acp-22-6167-2022, https://doi.org/10.5194/acp-22-6167-2022, 2022
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Alkene ozonolysis produces Criegee intermediates, which can act as oxidants or decompose to give a range of closed-shell and radical products, including OH. Therefore it is essential to accurately represent the chemistry of Criegee intermediates in atmospheric models in order to understand their impacts on atmospheric composition. Here we provide a mechanism construction protocol by which the central features of alkene ozonolysis chemistry can be included in an automatic mechanism generator.
Juan Cuesta, Lorenzo Costantino, Matthias Beekmann, Guillaume Siour, Laurent Menut, Bertrand Bessagnet, Tony C. Landi, Gaëlle Dufour, and Maxim Eremenko
Atmos. Chem. Phys., 22, 4471–4489, https://doi.org/10.5194/acp-22-4471-2022, https://doi.org/10.5194/acp-22-4471-2022, 2022
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We present the first comprehensive study integrating satellite observations of near-surface ozone pollution, surface in situ measurements, and a chemistry-transport model for quantifying the role of anthropogenic emission reductions during the COVID-19 lockdown in spring 2020. It confirms the occurrence of a net enhancement of ozone in central Europe and a reduction elsewhere, except for some hotspots, linked with the reduction of precursor emissions from Europe and the Northern Hemisphere.
Philippe Thunis, Alain Clappier, Alexander de Meij, Enrico Pisoni, Bertrand Bessagnet, and Leonor Tarrason
Atmos. Chem. Phys., 21, 18195–18212, https://doi.org/10.5194/acp-21-18195-2021, https://doi.org/10.5194/acp-21-18195-2021, 2021
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Air pollution's origin in cities is still a point of discussion, and approaches to assess the city's responsibility for its pollution are not harmonized and thus not comparable, resulting in sometimes contradicting interpretations. We show that methodological choices can easily lead to differences of a factor of 2 in terms of responsibility outcome and stress that methodological choices and assumptions most often lead to a systematic and important underestimation of the city's responsibility.
Laurent Menut, Bertrand Bessagnet, Régis Briant, Arineh Cholakian, Florian Couvidat, Sylvain Mailler, Romain Pennel, Guillaume Siour, Paolo Tuccella, Solène Turquety, and Myrto Valari
Geosci. Model Dev., 14, 6781–6811, https://doi.org/10.5194/gmd-14-6781-2021, https://doi.org/10.5194/gmd-14-6781-2021, 2021
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The CHIMERE chemistry-transport model is presented in its new version, V2020r1. Many changes are proposed compared to the previous version. These include online modeling, new parameterizations for aerosols, new emissions schemes, a new parameter file format, the subgrid-scale variability of urban concentrations and new transport schemes.
Gaëlle Dufour, Didier Hauglustaine, Yunjiang Zhang, Maxim Eremenko, Yann Cohen, Audrey Gaudel, Guillaume Siour, Mathieu Lachatre, Axel Bense, Bertrand Bessagnet, Juan Cuesta, Jerry Ziemke, Valérie Thouret, and Bo Zheng
Atmos. Chem. Phys., 21, 16001–16025, https://doi.org/10.5194/acp-21-16001-2021, https://doi.org/10.5194/acp-21-16001-2021, 2021
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The IASI observations and the LMDZ-OR-INCA model simulations show negative ozone trends in the Central East China region in the lower free (3–6 km column) and the upper free (6–9 km column) troposphere. Sensitivity studies from the model show that the Chinese anthropogenic emissions contribute to more than 50 % in the trend. The reduction in NOx emissions that has occurred since 2013 in China seems to lead to a decrease in ozone in the free troposphere, contrary to the increase at the surface.
Stefano Galmarini, Paul Makar, Olivia E. Clifton, Christian Hogrefe, Jesse O. Bash, Roberto Bellasio, Roberto Bianconi, Johannes Bieser, Tim Butler, Jason Ducker, Johannes Flemming, Alma Hodzic, Christopher D. Holmes, Ioannis Kioutsioukis, Richard Kranenburg, Aurelia Lupascu, Juan Luis Perez-Camanyo, Jonathan Pleim, Young-Hee Ryu, Roberto San Jose, Donna Schwede, Sam Silva, and Ralf Wolke
Atmos. Chem. Phys., 21, 15663–15697, https://doi.org/10.5194/acp-21-15663-2021, https://doi.org/10.5194/acp-21-15663-2021, 2021
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This technical note presents the research protocols for phase 4 of the Air Quality Model Evaluation International Initiative (AQMEII4). This initiative has three goals: (i) to define the state of wet and dry deposition in regional models, (ii) to evaluate how dry deposition influences air concentration and flux predictions, and (iii) to identify the causes for prediction differences. The evaluation compares LULC-specific dry deposition and effective conductances and fluxes.
Zhe Peng, Julia Lee-Taylor, Harald Stark, John J. Orlando, Bernard Aumont, and Jose L. Jimenez
Atmos. Chem. Phys., 21, 14649–14669, https://doi.org/10.5194/acp-21-14649-2021, https://doi.org/10.5194/acp-21-14649-2021, 2021
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We use the fully explicit GECKO-A model to study the OH reactivity (OHR) evolution in the NO-free photooxidation of several volatile organic compounds. Oxidation progressively produces more saturated and functionalized species, then breaks them into small species. OHR per C atom evolution is similar for different precursors once saturated multifunctional species are formed. We also find that partitioning of these species to chamber walls leads to large deviations in chambers from the atmosphere.
Victor Lannuque, Bastien Sauvage, Brice Barret, Hannah Clark, Gilles Athier, Damien Boulanger, Jean-Pierre Cammas, Jean-Marc Cousin, Alain Fontaine, Eric Le Flochmoën, Philippe Nédélec, Hervé Petetin, Isabelle Pfaffenzeller, Susanne Rohs, Herman G. J. Smit, Pawel Wolff, and Valérie Thouret
Atmos. Chem. Phys., 21, 14535–14555, https://doi.org/10.5194/acp-21-14535-2021, https://doi.org/10.5194/acp-21-14535-2021, 2021
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The African intertropical troposphere is one of the world areas where the increase in ozone mixing ratio has been most pronounced since 1980 and where high carbon monoxide mixing ratios are found in altitude. In this article, IAGOS aircraft measurements, IASI satellite instrument observations, and SOFT-IO model products are used to explore the seasonal distribution variations and the origin of ozone and carbon monoxide over the African upper troposphere.
Cited articles
Aumont, B., Szopa, S., and Madronich, S.: Modelling the evolution of organic
carbon during its gas-phase tropospheric oxidation: development of an
explicit model based on a self generating approach, Atmos. Chem. Phys.,
5, 2497–2517, https://doi.org/10.5194/acp-5-2497-2005, 2005.
Aumont, B., Valorso, R., Mouchel-Vallon, C., Camredon, M., Lee-Taylor, J.,
and Madronich, S.: Modeling SOA formation from the oxidation of intermediate
volatility n-alkanes, Atmos. Chem. Phys., 12, 7577–7589,
https://doi.org/10.5194/acp-12-7577-2012, 2012.
Aumont, B., Camredon, M., Mouchel-Vallon, C., La, S., Ouzebidour, F.,
Valorso, R., Lee-Taylor, J., and Madronich, S.: Modeling the influence of
alkane molecular structure on secondary organic aerosol formation, Faraday
Discuss., 165, 105, https://doi.org/10.1039/c3fd00029j, 2013.
Bloss, C., Wagner, V., Jenkin, M. E., Volkamer, R., Bloss, W. J., Lee, J.
D., Heard, D. E., Wirtz, K., Martin-Reviejo, M., Rea, G., Wenger, J. C., and
Pilling, M. J.: Development of a detailed chemical mechanism (MCMv3.1) for
the atmospheric oxidation of aromatic hydrocarbons, Atmos. Chem. Phys.,
5, 641–664, https://doi.org/10.5194/acp-5-641-2005, 2005.
Boucher, O., Randall, D., Artaxo, P., Bretherton, C., Feingold, G., Forster,
P., Kerminen, V.-M., Kondo, Y., Liao, H., Lohmann, U., Rasch, P., Satheesh,
S. K., Sherwood, S., Stevens, B., and Zhang, X. Y.: Clouds and Aerosols, in
Climate Change 2013 – The Physical Science Basis. Contribution of Working
Group I to the Fifth Assessment Report of the Intergovernmental Panel on
Climate Change, edited by: Stocker, T. F., Qin, D., Plattner, G.-K., Tignor, M.,
Allen, S. K., Boschung, J., Nauels, A., Xia, Y., Bex, V., and Midgley, P.
M., 571–658, Cambridge University Press, Cambridge, United
Kingdom and New York,
NY, USA., 2013.
Boyd, A. A., Flaud, P. M., Daugey, N., and Lesclaux, R.: Rate constants for
RO2 + HO2 reactions measured under a large excess of HO2, J. Phys. Chem.
A, 107, 818–821, https://doi.org/10.1021/jp026581r, 2003.
Camredon, M., Aumont, B., Lee-Taylor, J., and Madronich, S.: The SOA/VOC/NOx
system: an explicit model of secondary organic aerosol formation, Atmos.
Chem. Phys., 7, 5599–5610, https://doi.org/10.5194/acp-7-5599-2007, 2007.
Carlton, A. G., Wiedinmyer, C., and Kroll, J. H.: A review of Secondary
Organic Aerosol (SOA) formation from isoprene, Atmos. Chem. Phys., 9,
4987–5005, https://doi.org/10.5194/acp-9-4987-2009, 2009.
Couvidat, F. and Sartelet, K.: The Secondary Organic Aerosol Processor (SOAP
v1.0) model: a unified model with different ranges of complexity based on
the molecular surrogate approach, Geosci. Model Dev., 8, 1111–1138,
https://doi.org/10.5194/gmd-8-1111-2015, 2015.
Couvidat, F., Debry, É., Sartelet, K., and Seigneur, C.: A
hydrophilic/hydrophobic organic (H2O) aerosol model: Development, evaluation
and sensitivity analysis, J. Geophys. Res., 117, D10304,
https://doi.org/10.1029/2011JD017214, 2012.
de Gouw, J. A., Middlebrook, A. M., Warneke, C., Goldan, P. D., Kuster, W.
C., Roberts, J. M., Fehsenfeld, F. C., Worsnop, D. R., Canagaratna, M. R.,
Pszenny, A. A. P., Keene, W. C., Marchewka, M., Bertman, S. B., and Bates, T.
S.: Budget of organic carbon in a polluted atmosphere: Results from the New
England Air Quality Study in 2002, J. Geophys. Res., 110, D16305,
https://doi.org/10.1029/2004JD005623, 2005.
Donahue, N. M., Huff Hartz, K. E., Chuong, B., Presto, A. A., Stanier, C. O.,
Rosenhorn, T., Robinson, A. L., and Pandis, S. N.: Critical factors
determining the variation in SOA yields from terpene ozonolysis: A combined
experimental and computational study, Faraday Discuss., 130, 295–309,
https://doi.org/10.1039/b417369d, 2005.
Donahue, N. M., Robinson, a. L., Stanier, C. O., and Pandis, S. N.: Coupled
partitioning, dilution, and chemical aging of semivolatile organics,
Environ. Sci. Technol., 40, 2635–2643, https://doi.org/10.1021/es052297c, 2006.
Donahue, N. M., Epstein, S. A., Pandis, S. N., and Robinson, A. L.: A
two-dimensional volatility basis set: 1. organic-aerosol mixing
thermodynamics, Atmos. Chem. Phys., 11, 3303–3318,
https://doi.org/10.5194/acp-11-3303-2011, 2011.
Donahue, N. M., Kroll, J. H., Pandis, S. N., and Robinson, A. L.: A
two-dimensional volatility basis set – Part 2: Diagnostics of
organic-aerosol evolution, Atmos. Chem. Phys., 12, 615–634,
https://doi.org/10.5194/acp-12-615-2012, 2012.
Gelencsér, A., May, B., Simpson, D., Sánchez-Ochoa, A.,
Kasper-Giebl, A., Puxbaum, H., Caseiro, A., Pio, C., and Legrand, M.: Source
apportionment of PM2.5 organic aerosol over Europe: Primary/secondary,
natural/anthropogenic, and fossil/biogenic origin, J. Geophys. Res.,
112, D23S04, https://doi.org/10.1029/2006JD008094, 2007.
Grosjean, D.: In situ organic aerosol formation during a smog episode:
Estimated production and chemical functionality, Atmos. Environ., 26A,
953–963, 1992.
Han, S., Bian, H., Zhang, Y., Wu, J., Wang, Y., Tie, X., Li, Y., Li, X., and
Yao, Q.: Effect of Aerosols on Visibility and Radiation in Spring 2009 in
Tianjin, China, Aerosol Air Qual. Res., 12, 211–217,
https://doi.org/10.4209/aaqr.2011.05.0073, 2012.
Hansen, R. F., Griffith, S. M., Dusanter, S., Rickly, P. S., Stevens, P. S.,
Bertman, S. B., Carroll, M. A., Erickson, M. H., Flynn, J. H., Grossberg,
N., Jobson, B. T., Lefer, B. L., and Wallace, H. W.: Measurements of total
hydroxyl radical reactivity during CABINEX 2009 – Part 1: field
measurements, Atmos. Chem. Phys., 14, 2923–2937,
https://doi.org/10.5194/acp-14-2923-2014, 2014.
Heald, C. L., Jacob, D. J., Park, R. J., Russell, L. M., Huebert, B. J.,
Seinfeld, J. H., Liao, H., and Weber, R. J.: A large organic aerosol source
in the free troposphere missing from current models, Geophys. Res. Lett.,
32, L18809, https://doi.org/10.1029/2005GL023831, 2005.
Hodzic, A., Jimenez, J. L., Madronich, S., Canagaratna, M. R., DeCarlo, P.
F., Kleinman, L., and Fast, J.: Modeling organic aerosols in a megacity:
potential contribution of semi-volatile and intermediate volatility primary
organic compounds to secondary organic aerosol formation, Atmos. Chem.
Phys., 10, 5491–5514, https://doi.org/10.5194/acp-10-5491-2010, 2010.
Hodzic, A., Aumont, B., Knote, C., Lee-Taylor, J., Madronich, S., and Tyndall,
G.: Volatility dependenceof Henry's law constants of condensableorganics:
Application to estimatedepositional loss of secondary organicaerosols,
Geophys. Res. Lett., 41, 4795–4804, https://doi.org/10.1002/2014GL060649, 2014.
Im, U., Bianconi, R., Solazzo, E., Kioutsioukis, I., Badia, A., Balzarini,
A., Baró, R., Bellasio, R., Brunner, D., Chemel, C., Curci, G., Denier
van der Gon, H., Flemming, J., Forkel, R., Giordano, L.,
Jiménez-Guerrero, P., Hirtl, M., Hodzic, A., Honzak, L., Jorba, O.,
Knote, C., Makar, P. A., Manders-Groot, A., Neal, L., Pérez, J. L.,
Pirovano, G., Pouliot, G., San Jose, R., Savage, N., Schroder, W., Sokhi, R.
S., Syrakov, D., Torian, A., Tuccella, P., Wang, K., Werhahn, J., Wolke, R.,
Zabkar, R., Zhang, Y., Zhang, J., Hogrefe, C., and Galmarini, S.: Evaluation
of operational online-coupled regional air quality models over Europe and
North America in the context of AQMEII phase 2, Part II: Particulate matter,
Atmos. Environ., 115, 421–441, https://doi.org/10.1016/j.atmosenv.2014.08.072, 2015.
Jenkin, M. E., Saunders, S. M., and Pilling, M. J.: The tropospheric
degradation of volatile organic compounds: a protocol for mechanism
development, Atmos. Environ., 31, 81–104,
https://doi.org/10.1016/S1352-2310(96)00105-7, 1997.
Jenkin, M. E., Saunders, S. M., Wagner, V., and Pilling, M. J.: Protocol for
the development of the Master Chemical Mechanism, MCM v3 (Part B):
tropospheric degradation of aromatic volatile organic compounds, Atmos.
Chem. Phys., 3, 181–193, https://doi.org/10.5194/acp-3-181-2003, 2003.
Jimenez, J. L., Canagaratna, M. R., Donahue, N. M., Prevot, A. S. H., Zhang,
Q., Kroll, J. H., DeCarlo, P. F., Allan, J. D., Coe, H., Ng, N. L., Aiken,
A. C., Docherty, K. S., Ulbrich, I. M., Grieshop, A. P., Robinson, A. L.,
Duplissy, J., Smith, J. D., Wilson, K. R., Lanz, V. A., Hueglin, C., Sun, Y.
L., Tian, J., Laaksonen, A., Raatikainen, T., Rautiainen, J., Vaattovaara,
P., Ehn, M., Kulmala, M., Tomlinson, J. M., Collins, D. R., Cubison, M. J.,
Dunlea, E. J., Huffman, J. A., Onasch, T. B., Alfarra, M. R., Williams, P.
I., Bower, K., Kondo, Y., Schneider, J., Drewnick, F., Borrmann, S., Weimer,
S., Demerjian, K., Salcedo, D., Cottrell, L., Griffin, R., Takami, A.,
Miyoshi, T., Hatakeyama, S., Shimono, A., Sun, J. Y., Zhang, Y. M., Dzepina,
K., Kimmel, J. R., Sueper, D., Jayne, J. T., Herndon, S. C., Trimborn, A.
M., Williams, L. R., Wood, E. C., Middlebrook, A. M., Kolb, C. E.,
Baltensperger, U., and Worsnop, D. R.: Evolution of organic aerosols in the
atmosphere., Science, 326, 1525–1529, https://doi.org/10.1126/science.1180353, 2009.
Johnson, D., Utembe, S. R., Jenkin, M. E., Derwent,
R. G., Hayman, G. D.,
Alfarra, M. R., Coe, H., and McFiggins, G.: Simulating
regional scale
secondary organic aerosol formation during the TORCH 2003
campaign in the
southern UK, Atmos. Chem. Phys., 6, 419–431,
https://doi.org/10.5194/acpd-5-7829-2005, 2006.
Kroll, J. H. and Seinfeld, J. H.: Chemistry of secondary organic aerosol:
Formation and evolution of low-volatility organics in the atmosphere, Atmos.
Environ., 42, 3593–3624, https://doi.org/10.1016/j.atmosenv.2008.01.003, 2008.
La, Y. S., Camredon, M., Ziemann, P. J., Valorso, R., Matsunaga, A.,
Lannuque, V., Lee-Taylor, J., Hodzic, A., Madronich, S., and Aumont, B.:
Impact of chamber wall loss of gaseous organic compounds on secondary
organic aerosol formation: Explicit modeling of SOA formation from alkane
and alkene oxidation, Atmos. Chem. Phys., 16, 1417–1431,
https://doi.org/10.5194/acp-16-1417-2016, 2016.
Lane, T. E., Donahue, N. M., and Pandis, S. N.: Effect of NOx on secondary
organic aerosol concentrations, Environ. Sci. Technol., 42, 6022–6027,
https://doi.org/10.1021/es703225a, 2008.
Li, L., Tang, P., Nakao, S., and Cocker III, D. R.: Impact of molecular
structure on secondary organic aerosol formation from aromatic hydrocarbon
photooxidation under low-NOx conditions, Atmos. Chem. Phys., 16,
10793–10808, https://doi.org/10.5194/acp-16-10793-2016, 2016.
Lim, S. S., Vos, T., Flaxman, A. D., et al.: A comparative risk assessment of burden of disease
and injury attributable to 67 risk factors and risk factor clusters in 21
regions, 1990–2010: a systematic analysis for the Global Burden of Disease
Study 2010, Lancet, 380, 2224–2260,
https://doi.org/10.1016/S0140-6736(12)61766-8, 2012.
Lim, Y. B. and Ziemann, P. J.: Effects of molecular structure on aerosol
yields from OH radical-initiated reactions of linear, branched, and cyclic
alkanes in the presence of NO x, Environ. Sci. Technol., 43, 2328–2334,
https://doi.org/10.1021/es803389s, 2009.
Lou, S., Holland, F., Rohrer, F., Lu, K., Bohn, B., Brauers, T., Chang, C.
C., Fuchs, H., Häseler, R., Kita, K., Kondo, Y., Li, X., Shao, M., Zeng,
L., Wahner, A., Zhang, Y., Wang, W., and Hofzumahaus, A.: Atmospheric OH
reactivities in the Pearl River Delta - China in summer 2006: Measurement
and model results, Atmos. Chem. Phys., 10, 11243–11260,
https://doi.org/10.5194/acp-10-11243-2010, 2010.
Mader, P. P., MacPhee, R. D., Lofberg, R. T., and Larson, G.: Composition of
organic prtion of atmospheric aerosols in the Los Angeles area, Indust. Eng.
Chem., 44, 1352–1355, 1952.
Madronich, S. and Flocke, S.: The Role of Solar
Radiation in Atmospheric Chemistry, in: Environmental
Photochemistry, edited
by: Boule, D. P., no. 2/2L, The Handbook of
Environmental Chemistry, Springer
Berlin Heidelberg, 1–26, 1999.
Malley, C. S., Kuylenstierna, J. C. I., Vallack, H. W., Henze, D. K.,
Blencowe, H., and Ashmore, M. R.: Preterm birth associated with maternal fine
particulate matter exposure: A global, regional and national assessment,
Environ. Int., 101, 173–182, https://doi.org/10.1016/j.envint.2017.01.023, 2017.
Matsunaga, A. and Ziemann, P. J.: Gas-Wall
Partitioning of Organic Compounds
in a Teflon Film Chamber and Potential Effects
on Reaction Product and
Aerosol Yield Measurements, Aerosol Sci. Technol., 44, 881–892,
https://doi.org/10.1080/02786826.2010.501044, 2010.
Matsunaga, A., Docherty, K. S., Lim, Y. B., and Ziemann, P. J.: Composition
and yields of secondary organic aerosol formed from OH radical-initiated
reactions of linear alkenes in the presence of NOx: Modeling and
measurements, Atmos. Environ., 43, 1349–1357,
https://doi.org/10.1016/j.atmosenv.2008.12.004, 2009.
McMurry, P. H. and Grosjean, D.: Gas and aerosol wall losses in Teflon film
smog chambers, Environ. Sci. Technol., 19, 1176–1182,
https://doi.org/10.1021/es00142a006, 1985.
Nannoolal, Y., Rarey, J., Ramjugernath, D., and Cordes, W.: Estimation of
pure component properties, Fluid Phase Equilib., 226, 45–63,
https://doi.org/10.1016/j.fluid.2004.09.001, 2004.
Nannoolal, Y., Rarey, J., and Ramjugernath, D.: Estimation of pure component
properties, Fluid Phase Equilib., 269, 117–133,
https://doi.org/10.1016/j.fluid.2008.04.020, 2008.
Ng, N. L., Chhabra, P. S., Chan, a. W. H., Surratt, J. D., Kroll, J. H.,
Kwan, a. J., McCabe, D. C., Wennberg, P. O., Sorooshian, A., Murphy, S. M.,
Dalleska, N. F., Flagan, R. C., and Seinfeld, J. H.: Effect of NOx level on
secondary organic aerosol (SOA) formation from the photooxidation of
terpenes, Atmos. Chem. Phys., 7, 5159–5174,
https://doi.org/10.5194/acpd-7-10131-2007, 2007.
Ng, N. L., Brown, S. S., Archibald, A. T., Atlas, E., Cohen, R. C., Crowley,
J. N., Day, D. A., Donahue, N. M., Fry, J. L., Fuchs, H., Griffin, R. J.,
Guzman, M. I., Herrmann, H., Hodzic, A., Iinuma, Y., Kiendler-Scharr, A.,
Lee, B. H., Luecken, D. J., Mao, J., McLaren, R., Mutzel, A., Osthoff, H.
D., Ouyang, B., Picquet-Varrault, B., Platt, U., Pye, H. O. T., Rudich, Y.,
Schwantes, R. H., Shiraiwa, M., Stutz, J., Thornton, J. A., Tilgner, A.,
Williams, B. J., and Zaveri, R. A.: Nitrate radicals and biogenic volatile
organic compounds: Oxidation, mechanisms, and organic aerosol, Atmos. Chem.
Phys., 17, 2103–2162, https://doi.org/10.5194/acp-17-2103-2017, 2017.
Nordin, E. Z., Eriksson, A. C., Roldin, P., Nilsson, P. T., Carlsson, J. E.,
Kajos, M. K., Hellén, H., Wittbom, C., Rissler, J., Löndahl, J.,
Swietlicki, E., Svenningsson, B., Bohgard, M., Kulmala, M., Hallquist, M.,
and Pagels, J. H.: Secondary organic aerosol formation from idling gasoline
passenger vehicle emissions investigated in a smog chamber, Atmos. Chem.
Phys., 13, 6101–6116, https://doi.org/10.5194/acp-13-6101-2013, 2013.
O'Brien, R. J., Crabtree, J. H., Holmes, J. R., Hoggan, M. C., and
Bockian, A. H.: Formation of photochemical aerosols from hydrocarbons, Environ.
Sci. Tech., 9, 577–582, 1975.
Odum Jay, R., Hoffmann, T., Bowman, F., Collins, D., Flagan Richard, C., and
Seinfeld John, H.: Gas particle partitioning and secondary organic aerosol
yields, Environ. Sci. Technol., 30, 2580–2585, https://doi.org/10.1021/es950943+,
1996.
Pankow, J. F.: An absorption model of gas/particle partitioning of organic
compounds in the atmosphere, Atmos. Environ., 28, 185–188,
https://doi.org/10.1016/1352-2310(94)90093-0, 1994.
Powell, M. J. D.: The BOBYQA algorithm for bound
constrained optimization
without derivatives, Technical Report DAMTP 2009/NA06, Centre for
Mathematical Sciences, University of Cambridge, Cambridge,
England, available
at: http://www.damtp.cam.ac.uk/user/na/NA_papers/NA2009_06.pdf/
(last access:
5 September 2018), 2009.
Pun, B. K., Griffin, R. J., Seigneur, C., and Seinfeld, J. H.: Secondary
organic aerosol 2. Thermodynamic model for gas/particle partitioning of
molecular constituents, J. Geophys. Res.-Atmos., 107, AAC4/1-AAC4/15,
https://doi.org/10.1029/2001JD000542, 2002.
Pun, B. K., Wu, S. Y., Seigneur, C., Seinfeld, J. H., Griffin, R. J., and
Pandis, S. N.: Uncertainties in modeling secondary organic aerosols:
Three-dimensional modeling studies in Nashville/Western Tennessee, Environ.
Sci. Technol., 37, 3647–3661, https://doi.org/10.1021/es0341541, 2003.
Pun, B. K., Seigneur, C., and Lohman, K.: Modeling secondary organic aerosol
formation via multiphase partitioning with molecular data, Environ. Sci.
Technol., 40, 4722–4731, https://doi.org/10.1021/es0522736, 2006.
R Core Team: R: A language and environment for stastistical computing, R
Found. Stat. Comput. Vienna, Austria [online], available at:
http://www.r-project.org/ (last access: 5 September 2018), 2017.
Robinson, A. L., Donahue, N. M., Shrivastava, M. K., Weitkamp, E. A., Sage,
A. M., Grieshop, A. P., Lane, T. E., Pierce, J. R., and Pandis, S. N.:
Rethinking Organic Aerosols: Semivolatile Emissions and Photochemical Aging,
Science, 80, 1259–1262, https://doi.org/10.1126/science.1133061, 2007.
Shrivastava, M., Fast, J., Easter, R., Gustafson, W. I., Zaveri, R. A.,
Jimenez, J. L., Saide, P., and Hodzic, A.: Modeling organic aerosols in a
megacity: comparison of simple and complex representations of the volatility
basis set approach, Atmos. Chem. Phys., 11, 6639–6662,
https://doi.org/10.5194/acp-11-6639-2011, 2011.
Shrivastava, M., Cappa, C. D., Fan, J., Goldstein, A. H., Guenther, A. B.,
Jimenez, J. L., Kuang, C., Laskin, A., Martin, S. T., Ng, N. L., Petaja, T.,
Pierce, J. R., Rasch, P. J., Roldin, P., Seinfeld, J. H., Shilling, J.,
Smith, J. N., Thornton, J. A., Volkamer, R., Wang, J., Worsnop, D. R.,
Zaveri, R. A., Zelenyuk, A., and Zhang, Q.: Recent advances in understanding
secondary organic aerosol: Implications for global climate forcing, Rev.
Geophys., 55, 509–559, https://doi.org/10.1002/2016RG000540, 2017.
Solazzo, E., Bianconi, R., Pirovano, G., Matthias, V., Vautard, R., Moran,
M. D., Wyat Appel, K., Bessagnet, B., Brandt, J., Christensen, J. H.,
Chemel, C., Coll, I., Ferreira, J., Forkel, R., Francis, X. V, Grell, G.,
Grossi, P., Hansen, A. B., Miranda, A. I., Nopmongcol, U., Prank, M.,
Sartelet, K. N., Schaap, M., Silver, J. D., Sokhi, R. S., Vira, J., Werhahn,
J., Wolke, R., Yarwood, G., Zhang, J., Rao, S. T., and Galmarini, S.:
Operational model evaluation for particulate matter in Europe and North
America in the context of AQMEII, Atmos. Environ., 53, 75–92,
https://doi.org/10.1016/j.atmosenv.2012.02.045, 2012.
Stone, D., Whalley, L. K., and Heard, D. E.: Tropospheric OH and HO2
radicals: field measurements and model comparisons, Chem. Soc. Rev., 41,
6348, https://doi.org/10.1039/c2cs35140d, 2012.
Szopa, S., Aumont, B., and Madronich, S.: Assessment of the reduction methods
used to develop chemical schemes: building of a new chemical scheme for VOC
oxidation suited to three-dimensional multiscale chemistry
simulations, Atmos. Chem. Phys., 5, 2519–2538,
https://doi.org/10.5194/acp-5-2519-2005, 2005.
Takekawa, H., Minoura, H., and Yamazaki, S.: Temperature dependence of
secondary organic aerosol formation by photo-oxidation of hydrocarbons,
Atmos. Environ., 37, 3413–3424, https://doi.org/10.1016/S1352-2310(03)00359-5,
2003.
Tsigaridis, K. and Kanakidou, M.: Global modelling of secondary organic
aerosol in the troposphere: a sensitivity analysis, Atmos. Chem. Phys.,
3, 1849–1869, https://doi.org/10.5194/acp-3-1849-2003, 2003.
Tsigaridis, K., Daskalakis, N., Kanakidou, M., Adams, P. J., Artaxo, P.,
Bahadur, R., Balkanski, Y., Bauer, S. E., Bellouin, N., Benedetti, A.,
Bergman, T., Berntsen, T. K., Beukes, J. P., Bian, H., Carslaw, K. S., Chin,
M., Curci, G., Diehl, T., Easter, R. C., Ghan, S. J., Gong, S. L., Hodzic,
A., Hoyle, C. R., Iversen, T., Jathar, S., Jimenez, J. L., Kaiser, J. W.,
Kirkeväg, A., Koch, D., Kokkola, H., H Lee, Y., Lin, G., Liu, X., Luo,
G., Ma, X., Mann, G. W., Mihalopoulos, N., Morcrette, J. J., Müller, J.
F., Myhre, G., Myriokefalitakis, S., Ng, N. L., O'donnell, D., Penner, J.
E., Pozzoli, L., Pringle, K. J., Russell, L. M., Schulz, M., Sciare, J.,
Seland, Shindell, D. T., Sillman, S., Skeie, R. B., Spracklen, D.,
Stavrakou, T., Steenrod, S. D., Takemura, T., Tiitta, P., Tilmes, S., Tost,
H., Van Noije, T., Van Zyl, P. G., Von Salzen, K., Yu, F., Wang, Z., Wang,
Z., Zaveri, R. A., Zhang, H., Zhang, K., Zhang, Q., and Zhang, X.: The
AeroCom evaluation and intercomparison of organic aerosol in global models,
Atmos. Chem. Phys., 14, 10845–10895, https://doi.org/10.5194/acp-14-10845-2014,
2014.
Valorso, R., Aumont, B., Camredon, M., Raventos-Duran, T., Mouchel-Vallon,
C., Ng, N. L., Seinfeld, J. H., Lee-Taylor, J., and Madronich, S.: Explicit
modelling of SOA formation from α-pinene photooxidation: Sensitivity
to vapour pressure estimation, Atmos. Chem. Phys., 11, 6895–6910,
https://doi.org/10.5194/acp-11-6895-2011, 2011.
Vereecken, L., Peeters, J., Fracheboud, J. M., Orlando, J. J., Tyndall, G.
S., Sehested, J., Møgelberg, T. E., Nielsen, O. J., and Troe, J.:
Decomposition of substituted alkoxy radicals – part I: a generalized
structure–activity relationship for reaction barrier heights, Phys. Chem.
Chem. Phys., 11, 9062, https://doi.org/10.1039/b909712k, 2009.
Vereecken, L., Peeters, J., Ceulemans, K., Compernolle, S., Vereecken, L.,
Peeters, J., Jenkin, M. E., Rossi, M. J., and Troe, J.: A structure–activity
relationship for the rate coefficient of H-migration in substituted alkoxy
radicals, Phys. Chem. Chem. Phys., 12, 12608, https://doi.org/10.1039/c0cp00387e,
2010.
Verwer, J. G. and Van Loon, M.: An Evaluation of Explicit
Pseudo-Steady-State Approximation Schemes for Stiff ODE Systems from
Chemical Kinetics, J. Comput. Phys., 113, 347–352,
https://doi.org/10.1006/jcph.1994.1141, 1994.
Verwer, J. G., Blom, J. G., Van Loon, M., and Spee, E. J.: A comparison of
stiff ode solvers for atmospheric chemistry problems, Atmos. Environ.,
30, 49–58, https://doi.org/10.1016/1352-2310(95)00283-5, 1996.
Volkamer, R., Jimenez, J. L., San Martini, F., Dzepina, K., Zhang, Q.,
Salcedo, D., Molina, L. T., Worsnop, D. R., and Molina, M. J.: Secondary
organic aerosol formation from anthropogenic air pollution: Rapid and higher
than expected, Geophys. Res. Lett., 33, L17811,
https://doi.org/10.1029/2006GL026899, 2006.
Zhang, X. and Seinfeld, J. H.: A functional group oxidation model (FGOM) for
SOA formation and aging, Atmos. Chem. Phys., 13, 5907–5926,
https://doi.org/10.5194/acp-13-5907-2013, 2013.
Zhao, D. F., Kaminski, M., Schlag, P., Fuchs, H., Acir, I.-H., Bohn, B.,
Häseler, R., Kiendler-Scharr, A., Rohrer, F., Tillmann, R., Wang, M. J.,
Wegener, R., Wildt, J., Wahner, A., and Mentel, T. F.: Secondary organic
aerosol formation from hydroxyl radical oxidation and ozonolysis of
monoterpenes, Atmos. Chem. Phys., 15, 991–1012,
https://doi.org/10.5194/acp-15-991-2015, 2015.
Zhao, Y., Nguyen, N. T., Presto, A. A., Hennigan, C. J., May, A. A., and
Robinson, A. L.: Intermediate Volatility Organic Compound Emissions from
On-Road Gasoline Vehicles and Small Off-Road Gasoline Engines, Environ. Sci.
Technol., 50, 4554–4563, https://doi.org/10.1021/acs.est.5b06247, 2016.
Short summary
Large uncertainties remain in understanding the influence of atmospheric environmental conditions on secondary organic aerosol (SOA) formation, evolution and properties. In this article, the GECKO-A modelling tool has been used in a box model under various environmental conditions to (i) explore the sensitivity of SOA formation and properties to changes on physical and chemical conditions and (ii) develop a volatility-basis-set-type parameterization for air quality models.
Large uncertainties remain in understanding the influence of atmospheric environmental...
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