Articles | Volume 21, issue 13
https://doi.org/10.5194/acp-21-10825-2021
© Author(s) 2021. 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-21-10825-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
16 Jul 2021
Research article |
| 16 Jul 2021
| 16 Jul 2021
Measured and modelled air quality trends in Italy over the period 2003–2010
Laboratory of Atmospheric Pollution, Italian National Agency for New Technologies, Energy and Sustainable Economic Development – ENEA, Rome, 00123, Italy
Gino Briganti
Laboratory of Atmospheric Pollution, Italian National Agency for New Technologies, Energy and Sustainable Economic Development – ENEA, Rome, 00123, Italy
Lina Vitali
Laboratory of Atmospheric Pollution, Italian National Agency for New Technologies, Energy and Sustainable Economic Development – ENEA, Rome, 00123, Italy
Antonio Piersanti
Laboratory of Atmospheric Pollution, Italian National Agency for New Technologies, Energy and Sustainable Economic Development – ENEA, Rome, 00123, Italy
Gaia Righini
Laboratory of Atmospheric Pollution, Italian National Agency for New Technologies, Energy and Sustainable Economic Development – ENEA, Rome, 00123, Italy
Massimo D'Isidoro
Laboratory of Atmospheric Pollution, Italian National Agency for New Technologies, Energy and Sustainable Economic Development – ENEA, Rome, 00123, Italy
Andrea Cappelletti
Laboratory of Atmospheric Pollution, Italian National Agency for New Technologies, Energy and Sustainable Economic Development – ENEA, Rome, 00123, Italy
Mihaela Mircea
Laboratory of Atmospheric Pollution, Italian National Agency for New Technologies, Energy and Sustainable Economic Development – ENEA, Rome, 00123, Italy
Mario Adani
Laboratory of Atmospheric Pollution, Italian National Agency for New Technologies, Energy and Sustainable Economic Development – ENEA, Rome, 00123, Italy
Gabriele Zanini
Laboratory of Atmospheric Pollution, Italian National Agency for New Technologies, Energy and Sustainable Economic Development – ENEA, Rome, 00123, Italy
Luisella Ciancarella
Laboratory of Atmospheric Pollution, Italian National Agency for New Technologies, Energy and Sustainable Economic Development – ENEA, Rome, 00123, Italy
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The National Air Quality forecasting system FORAIR_IT may be considered a state of the art model, and as far as we know it is the first forecasting system at high spatial resolution proposed at Italian National level. FORAIR_IT may be a useful tool that the policy makers might use in order to apply extraordinary procedure to prevent/mitigate high levels of air pollution. Moreover general population might take advantage of FORAIR_IT to get used to the complexity of air quality issues.
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Lina Vitali, Kees Cuvelier, Antonio Piersanti, Alexandra Monteiro, Mario Adani, Roberta Amorati, Agnieszka Bartocha, Alessandro D'Ausilio, Paweł Durka, Carla Gama, Giulia Giovannini, Stijn Janssen, Tomasz Przybyła, Michele Stortini, Stijn Vranckx, and Philippe Thunis
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V. Baiocchi, L. M. Falconi, L. Moretti, M. Pollino, C. Puglisi, G. Righini, and G. Vegliante
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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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Jérôme Barré, Hervé Petetin, Augustin Colette, Marc Guevara, Vincent-Henri Peuch, Laurence Rouil, Richard Engelen, Antje Inness, Johannes Flemming, Carlos Pérez García-Pando, Dene Bowdalo, Frederik Meleux, Camilla Geels, Jesper H. Christensen, Michael Gauss, Anna Benedictow, Svetlana Tsyro, Elmar Friese, Joanna Struzewska, Jacek W. Kaminski, John Douros, Renske Timmermans, Lennart Robertson, Mario Adani, Oriol Jorba, Mathieu Joly, and Rostislav Kouznetsov
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Rita Cesari, Alberto Maurizi, Massimo D'Isidoro, Tony Christian Landi, Mihaela Mircea, Felicita Russo, Piero Malguzzi, and Francesco Tampieri
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2019-124, https://doi.org/10.5194/gmd-2019-124, 2019
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Mark R. Theobald, Marta G. Vivanco, Wenche Aas, Camilla Andersson, Giancarlo Ciarelli, Florian Couvidat, Kees Cuvelier, Astrid Manders, Mihaela Mircea, Maria-Teresa Pay, Svetlana Tsyro, Mario Adani, Robert Bergström, Bertrand Bessagnet, Gino Briganti, Andrea Cappelletti, Massimo D'Isidoro, Hilde Fagerli, Kathleen Mar, Noelia Otero, Valentin Raffort, Yelva Roustan, Martijn Schaap, Peter Wind, and Augustin Colette
Atmos. Chem. Phys., 19, 379–405, https://doi.org/10.5194/acp-19-379-2019, https://doi.org/10.5194/acp-19-379-2019, 2019
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Model estimates of the mean European wet deposition of nitrogen and sulfur for 1990 to 2010 were within 40 % of the observed values. As a result of systematic biases, the models were better at estimating relative trends for the periods 1990–2000 and 2000–2010 than the absolute trends. Although the predominantly decreasing trends were mostly due to emission reductions, they were partially offset by other factors (e.g. changes in precipitation) during the first period, but not the second.
Noelia Otero, Jana Sillmann, Kathleen A. Mar, Henning W. Rust, Sverre Solberg, Camilla Andersson, Magnuz Engardt, Robert Bergström, Bertrand Bessagnet, Augustin Colette, Florian Couvidat, Cournelius Cuvelier, Svetlana Tsyro, Hilde Fagerli, Martijn Schaap, Astrid Manders, Mihaela Mircea, Gino Briganti, Andrea Cappelletti, Mario Adani, Massimo D'Isidoro, María-Teresa Pay, Mark Theobald, Marta G. Vivanco, Peter Wind, Narendra Ojha, Valentin Raffort, and Tim Butler
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This paper evaluates the capability of air-quality models to capture the observed relationship between surface ozone concentrations and meteorology over Europe. The air-quality models tended to overestimate the influence of maximum temperature and surface solar radiation. None of the air-quality models captured the strength of the observed relationship between ozone and relative humidity appropriately, underestimating the effect of relative humidity, a key factor in the ozone removal processes.
Marta G. Vivanco, Mark R. Theobald, Héctor García-Gómez, Juan Luis Garrido, Marje Prank, Wenche Aas, Mario Adani, Ummugulsum Alyuz, Camilla Andersson, Roberto Bellasio, Bertrand Bessagnet, Roberto Bianconi, Johannes Bieser, Jørgen Brandt, Gino Briganti, Andrea Cappelletti, Gabriele Curci, Jesper H. Christensen, Augustin Colette, Florian Couvidat, Cornelis Cuvelier, Massimo D'Isidoro, Johannes Flemming, Andrea Fraser, Camilla Geels, Kaj M. Hansen, Christian Hogrefe, Ulas Im, Oriol Jorba, Nutthida Kitwiroon, Astrid Manders, Mihaela Mircea, Noelia Otero, Maria-Teresa Pay, Luca Pozzoli, Efisio Solazzo, Svetlana Tsyro, Alper Unal, Peter Wind, and Stefano Galmarini
Atmos. Chem. Phys., 18, 10199–10218, https://doi.org/10.5194/acp-18-10199-2018, https://doi.org/10.5194/acp-18-10199-2018, 2018
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European wet and dry atmospheric deposition of N and S estimated by 14 air quality models was found to vary substantially. An ensemble of models meeting acceptability criteria was used to estimate the exceedances of the critical loads for N in habitats within the Natura 2000 network, as well as their lower and upper limits. Scenarios with 20 % emission reductions in different regions of the world showed that European emissions are responsible for most of the N and S deposition in Europe.
Augustin Colette, Camilla Andersson, Astrid Manders, Kathleen Mar, Mihaela Mircea, Maria-Teresa Pay, Valentin Raffort, Svetlana Tsyro, Cornelius Cuvelier, Mario Adani, Bertrand Bessagnet, Robert Bergström, Gino Briganti, Tim Butler, Andrea Cappelletti, Florian Couvidat, Massimo D'Isidoro, Thierno Doumbia, Hilde Fagerli, Claire Granier, Chris Heyes, Zig Klimont, Narendra Ojha, Noelia Otero, Martijn Schaap, Katarina Sindelarova, Annemiek I. Stegehuis, Yelva Roustan, Robert Vautard, Erik van Meijgaard, Marta Garcia Vivanco, and Peter Wind
Geosci. Model Dev., 10, 3255–3276, https://doi.org/10.5194/gmd-10-3255-2017, https://doi.org/10.5194/gmd-10-3255-2017, 2017
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The EURODELTA-Trends numerical experiment has been designed to assess the capability of chemistry-transport models to capture the evolution of surface air quality over the 1990–2010 period in Europe. It also includes sensitivity experiments in order to analyse the relative contribution of (i) emission changes, (ii) meteorological variability, and (iii) boundary conditions to air quality trends. The article is a detailed presentation of the experiment design and participating models.
Bertrand Bessagnet, Guido Pirovano, Mihaela Mircea, Cornelius Cuvelier, Armin Aulinger, Giuseppe Calori, Giancarlo Ciarelli, Astrid Manders, Rainer Stern, Svetlana Tsyro, Marta García Vivanco, Philippe Thunis, Maria-Teresa Pay, Augustin Colette, Florian Couvidat, Frédérik Meleux, Laurence Rouïl, Anthony Ung, Sebnem Aksoyoglu, José María Baldasano, Johannes Bieser, Gino Briganti, Andrea Cappelletti, Massimo D'Isidoro, Sandro Finardi, Richard Kranenburg, Camillo Silibello, Claudio Carnevale, Wenche Aas, Jean-Charles Dupont, Hilde Fagerli, Lucia Gonzalez, Laurent Menut, André S. H. Prévôt, Pete Roberts, and Les White
Atmos. Chem. Phys., 16, 12667–12701, https://doi.org/10.5194/acp-16-12667-2016, https://doi.org/10.5194/acp-16-12667-2016, 2016
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The EURODELTA III exercise allows a very comprehensive intercomparison and evaluation of air quality models' performance. On average, the models provide a rather good picture of the particulate matter (PM) concentrations over Europe even if the highest concentrations are underestimated. The meteorology is responsible for model discrepancies, while the lack of emissions, particularly in winter, is mentioned as the main reason for the underestimations of PM.
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Subject: Gases | Research Activity: Atmospheric Modelling and Data Analysis | Altitude Range: Troposphere | Science Focus: Chemistry (chemical composition and reactions)
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Wenbin Kou, Yang Gao, Dan Tong, Xiaojie Guo, Xiadong An, Wenyu Liu, Mengshi Cui, Xiuwen Guo, Shaoqing Zhang, Huiwang Gao, and Lixin Wu
Atmos. Chem. Phys., 25, 3029–3048, https://doi.org/10.5194/acp-25-3029-2025, https://doi.org/10.5194/acp-25-3029-2025, 2025
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Unlike traditional numerical studies, we apply a high-resolution Earth system model, improving simulations of surface ozone and large-scale circulations such as atmospheric blocking. Besides local heat waves, we quantify the impact of atmospheric blocking on downstream ozone concentrations, which is closely associated with the blocking position. We identify three major pathways of Rossby wave propagation, stressing the critical role of large-scale circulation in regional air quality.
Beata Opacka, Trissevgeni Stavrakou, Jean-François Müller, Isabelle De Smedt, Jos van Geffen, Eloise A. Marais, Rebekah P. Horner, Dylan B. Millet, Kelly C. Wells, and Alex B. Guenther
Atmos. Chem. Phys., 25, 2863–2894, https://doi.org/10.5194/acp-25-2863-2025, https://doi.org/10.5194/acp-25-2863-2025, 2025
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Vegetation releases biogenic volatile organic compounds, while soils and lightning contribute to the natural emissions of nitrogen oxides into the atmosphere. These gases interact in complex ways. Using satellite data and models, we developed a new method to simultaneously optimize these natural emissions over Africa in 2019. Our approach resulted in an increase in natural emissions, supported by independent data indicating that current estimates are underestimated.
Shuai Li, Haolin Wang, and Xiao Lu
Atmos. Chem. Phys., 25, 2725–2743, https://doi.org/10.5194/acp-25-2725-2025, https://doi.org/10.5194/acp-25-2725-2025, 2025
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Summertime ozone–temperature sensitivity has decreased by 50 % from 3.0 ppbv per K in 1990 to 1.5 ppb per K in 2021 in the US. GEOS-Chem simulations show that anthropogenic nitrogen oxide emission reduction is the dominant driver of ozone–temperature sensitivity decline by influencing both temperature direct and temperature indirect processes. Reduced ozone–temperature sensitivity has decreased ozone enhancement from low to high temperatures by an average of 6.8 ppbv across the US.
Jinya Yang, Yutong Wang, Lei Zhang, and Yu Zhao
Atmos. Chem. Phys., 25, 2649–2666, https://doi.org/10.5194/acp-25-2649-2025, https://doi.org/10.5194/acp-25-2649-2025, 2025
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We develop a modeling framework to predict future ozone concentrations (till the 2060s) in China following an IPCC scenario. We evaluate the contributions of climatic, anthropogenic, and biogenic factors by season and region. We find persistent emission controls will alter the nonlinear response of ozone to its precursors and dominate the declining ozone level. The outcomes highlight the importance of human actions, even with a climate penalty on air quality.
Takashi Sekiya, Emanuele Emili, Kazuyuki Miyazaki, Antje Inness, Zhen Qu, R. Bradley Pierce, Dylan Jones, Helen Worden, William Y. Y. Cheng, Vincent Huijnen, and Gerbrand Koren
Atmos. Chem. Phys., 25, 2243–2268, https://doi.org/10.5194/acp-25-2243-2025, https://doi.org/10.5194/acp-25-2243-2025, 2025
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Five global chemical reanalysis datasets were used to assess the relative impacts of assimilating satellite ozone and its precursor measurements on tropospheric ozone analyses for 2010. The multiple reanalysis system comparison allows an evaluation of the dependency of the impacts on different reanalysis systems. The results suggested the importance of satellite ozone and its precursor measurements for improving ozone analysis in the whole troposphere, with varying magnitudes among the systems.
Maureen Beaudor, Didier Hauglustaine, Juliette Lathière, Martin Van Damme, Lieven Clarisse, and Nicolas Vuichard
Atmos. Chem. Phys., 25, 2017–2046, https://doi.org/10.5194/acp-25-2017-2025, https://doi.org/10.5194/acp-25-2017-2025, 2025
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Agriculture is the biggest ammonia (NH3) source, impacting air quality, climate, and ecosystems. Because of food demand, NH3 emissions are projected to rise by 2100. Using a global model, we analyzed the impact of present and future NH3 emissions generated from a land model. Our results show improved ammonia patterns compared to a reference inventory. Future scenarios predict up to 70 % increase in global NH3 burden, with significant changes in radiative forcing that can greatly elevate N2O.
Hui Li, Jiaxin Qiu, and Bo Zheng
Atmos. Chem. Phys., 25, 1949–1963, https://doi.org/10.5194/acp-25-1949-2025, https://doi.org/10.5194/acp-25-1949-2025, 2025
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We conduct a sensitivity analysis with 31 tests on various factors including prior emissions, model resolution, satellite constraint, and other system configurations to assess the vulnerability of emission estimates across temporal, sectoral, and regional dimensions. This reveals the robustness of emissions estimated by this air-pollution-satellite-based CO2 emission inversion system, with relative change between tests and base inversion below 4.0 % for national annual NOx and CO2 emissions.
Yuqing Qiu, Xin Li, Wenxuan Chai, Yi Liu, Mengdi Song, Xudong Tian, Qiaoli Zou, Wenjun Lou, Wangyao Zhang, Juan Li, and Yuanhang Zhang
Atmos. Chem. Phys., 25, 1749–1763, https://doi.org/10.5194/acp-25-1749-2025, https://doi.org/10.5194/acp-25-1749-2025, 2025
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The chemical reactions of ozone (O3) formation are related to meteorology and local emissions. Here, a random forest approach was used to eliminate the effects of meteorological factors (dispersion or transport) on O3 and its precursors. Variations in the sensitivity of O3 formation and the apportionment of emission sources were revealed after meteorological normalization. Our results suggest that meteorological variations should be considered when diagnosing O3 formation.
Jeongmin Yun, Junjie Liu, Brendan Byrne, Brad Weir, Lesley E. Ott, Kathryn McKain, Bianca C. Baier, Luciana V. Gatti, and Sebastien C. Biraud
Atmos. Chem. Phys., 25, 1725–1748, https://doi.org/10.5194/acp-25-1725-2025, https://doi.org/10.5194/acp-25-1725-2025, 2025
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This study quantifies errors in regional net surface–atmosphere CO2 flux estimates from an inverse model ensemble using airborne CO2 measurements. Our results show that flux error estimates based on observations significantly exceed those computed from the ensemble spread of flux estimates in regions with high fossil fuel emissions. This finding suggests the presence of systematic biases in the inversion estimates, associated with errors in the fossil fuel emissions common to all models.
Min Huang, Gregory R. Carmichael, Kevin W. Bowman, Isabelle De Smedt, Andreas Colliander, Michael H. Cosh, Sujay V. Kumar, Alex B. Guenther, Scott J. Janz, Ryan M. Stauffer, Anne M. Thompson, Niko M. Fedkin, Robert J. Swap, John D. Bolten, and Alicia T. Joseph
Atmos. Chem. Phys., 25, 1449–1476, https://doi.org/10.5194/acp-25-1449-2025, https://doi.org/10.5194/acp-25-1449-2025, 2025
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We use model simulations along with multiplatform, multidisciplinary observations and a range of analysis methods to estimate and understand the distributions, temporal changes, and impacts of reactive nitrogen and ozone over the most populous US region that has undergone significant environmental changes. Deposition, biogenic emissions, and extra-regional sources have been playing increasingly important roles in controlling pollutant budgets in this area as local anthropogenic emissions drop.
Xavier Faïn, Sophie Szopa, Vaishali Naïk, Patricia Martinerie, David M. Etheridge, Rachael H. Rhodes, Cathy M. Trudinger, Vasilii V. Petrenko, Kévin Fourteau, and Philip Place
Atmos. Chem. Phys., 25, 1105–1119, https://doi.org/10.5194/acp-25-1105-2025, https://doi.org/10.5194/acp-25-1105-2025, 2025
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Carbon monoxide (CO) plays a crucial role in the atmosphere's oxidizing capacity. In this study, we analyse how historical (1850–2014) [CO] outputs from state-of-the-art global chemistry–climate models over Greenland and Antarctica are able to capture both absolute values and trends recorded in multi-site ice archives. A disparity in [CO] growth rates emerges in the Northern Hemisphere between models and observations from 1920–1975 CE, possibly linked to uncertainties in CO emission factors.
Natalie Brett, Kathy S. Law, Steve R. Arnold, Javier G. Fochesatto, Jean-Christophe Raut, Tatsuo Onishi, Robert Gilliam, Kathleen Fahey, Deanna Huff, George Pouliot, Brice Barret, Elsa Dieudonné, Roman Pohorsky, Julia Schmale, Andrea Baccarini, Slimane Bekki, Gianluca Pappaccogli, Federico Scoto, Stefano Decesari, Antonio Donateo, Meeta Cesler-Maloney, William Simpson, Patrice Medina, Barbara D'Anna, Brice Temime-Roussel, Joel Savarino, Sarah Albertin, Jingqiu Mao, Becky Alexander, Allison Moon, Peter F. DeCarlo, Vanessa Selimovic, Robert Yokelson, and Ellis S. Robinson
Atmos. Chem. Phys., 25, 1063–1104, https://doi.org/10.5194/acp-25-1063-2025, https://doi.org/10.5194/acp-25-1063-2025, 2025
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Processes influencing dispersion of local anthropogenic pollution in Arctic wintertime are investigated with Lagrangian dispersion modelling. Simulated power plant plume rise that considers temperature inversion layers improves results compared to observations (interior Alaska). Modelled surface concentrations are improved by representation of vertical mixing and emission estimates. Large increases in diesel vehicle emissions at temperatures reaching −35°C are required to reproduce observed NOx.
Chelsea E. Stockwell, Matthew M. Coggon, Rebecca H. Schwantes, Colin Harkins, Bert Verreyken, Congmeng Lyu, Qindan Zhu, Lu Xu, Jessica B. Gilman, Aaron Lamplugh, Jeff Peischl, Michael A. Robinson, Patrick R. Veres, Meng Li, Andrew W. Rollins, Kristen Zuraski, Sunil Baidar, Shang Liu, Toshihiro Kuwayama, Steven S. Brown, Brian C. McDonald, and Carsten Warneke
Atmos. Chem. Phys., 25, 1121–1143, https://doi.org/10.5194/acp-25-1121-2025, https://doi.org/10.5194/acp-25-1121-2025, 2025
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In urban areas, emissions from everyday products like paints, cleaners, and personal care products, along with non-traditional sources such as cooking, are increasingly important and impact air quality. This study uses a box model to evaluate how these emissions impact ozone in the Los Angeles Basin and quantifies the impact of gaseous cooking emissions. Accurate representation of these and other anthropogenic sources in inventories is crucial for informing effective air quality policies.
Xiaodan Ma, Jianping Huang, Michaela I. Hegglin, Patrick Jöckel, and Tianliang Zhao
Atmos. Chem. Phys., 25, 943–958, https://doi.org/10.5194/acp-25-943-2025, https://doi.org/10.5194/acp-25-943-2025, 2025
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Our research explored changes in ozone levels in the northwest Pacific region over 30 years, revealing a significant increase in the middle-to-upper troposphere, especially during spring and summer. This rise is influenced by both stratospheric and tropospheric sources, which affect climate and air quality in East Asia. This work underscores the need for continued study to understand underlying mechanisms.
Hiroo Hata, Norifumi Mizushima, and Tomohiko Ihara
Atmos. Chem. Phys., 25, 1037–1061, https://doi.org/10.5194/acp-25-1037-2025, https://doi.org/10.5194/acp-25-1037-2025, 2025
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The introduction of battery electric vehicles (BEVs) is expected to reduce the primary air pollutants from vehicular exhaust and evaporative emissions while reducing the anthropogenic heat produced by vehicles, ultimately mitigating the urban heat island (UHI) effect. This study revealed the impact of introducing BEVs on the decrease in the UHI effect and the impact of BEVs on the formation of tropospheric ozone and fine particulate matter in the Greater Tokyo Area of Japan.
Carlos Gómez-Ortiz, Guillaume Monteil, Sourish Basu, and Marko Scholze
Atmos. Chem. Phys., 25, 397–424, https://doi.org/10.5194/acp-25-397-2025, https://doi.org/10.5194/acp-25-397-2025, 2025
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In this paper, we test new implementations of our inverse modeling tool to estimate the weekly and regional CO2 emissions from fossil fuels in Europe. We use synthetic atmospheric observations of CO2 and radiocarbon (14CO2) to trace emissions to their sources, while separating the natural and fossil CO2. Our tool accurately estimates fossil CO2 emissions in densely monitored regions like western/central Europe. This approach aids in developing strategies for reducing CO2 emissions.
David D. Parrish, Ian C. Faloona, and Richard G. Derwent
Atmos. Chem. Phys., 25, 263–289, https://doi.org/10.5194/acp-25-263-2025, https://doi.org/10.5194/acp-25-263-2025, 2025
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Observation-based estimates of contributions to maximum ozone (O3) concentrations show that background O3 can exceed the air quality standard of 70 ppb in the southwestern US, precluding standard attainment. Over the past 4 decades, US anthropogenic O3 has decreased by a factor of ~ 6.3, while wildfire contributions have increased, so that the background now dominates maximum concentrations, even in Los Angeles, and the occurrence of maximum O3 has shifted from the eastern to the western US.
William P. L. Carter, Jia Jiang, John J. Orlando, and Kelley C. Barsanti
Atmos. Chem. Phys., 25, 199–242, https://doi.org/10.5194/acp-25-199-2025, https://doi.org/10.5194/acp-25-199-2025, 2025
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This paper describes the scientific basis for gas-phase atmospheric chemical mechanisms derived using the SAPRC mechanism generation system, MechGen. It can derive mechanisms for most organic compounds with C, H, O, or N atoms, including initial reactions of organics with OH, O3, NO3, and O3P or by photolysis, as well as the reactions of the various types of intermediates that are formed. The paper includes a description of areas of uncertainty where additional research and updates are needed.
Thibaut Lebourgeois, Bastien Sauvage, Pawel Wolff, Béatrice Josse, Virginie Marécal, Yasmine Bennouna, Romain Blot, Damien Boulanger, Hannah Clark, Jean-Marc Cousin, Philippe Nedelec, and Valérie Thouret
Atmos. Chem. Phys., 24, 13975–14004, https://doi.org/10.5194/acp-24-13975-2024, https://doi.org/10.5194/acp-24-13975-2024, 2024
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Our study examines intense-carbon-monoxide (CO) pollution events measured by commercial aircraft from the In-service Aircraft for a Global Observing System (IAGOS) research infrastructure. We combine these measurements with the SOFT-IO model to trace the origin of the observed CO. A comprehensive analysis of the geographical origin, source type, seasonal variation, and ozone levels of these pollution events is provided.
Hassnae Erraji, Philipp Franke, Astrid Lampert, Tobias Schuldt, Ralf Tillmann, Andreas Wahner, and Anne Caroline Lange
Atmos. Chem. Phys., 24, 13913–13934, https://doi.org/10.5194/acp-24-13913-2024, https://doi.org/10.5194/acp-24-13913-2024, 2024
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Four-dimensional variational data assimilation allows for the simultaneous optimisation of initial values and emission rates by using trace-gas profiles from drone observations in a regional air quality model. Assimilated profiles positively impact the representation of air pollutants in the model by improving their vertical distribution and ground-level concentrations. This case study highlights the potential of drone data to enhance air quality analyses including local emission evaluation.
Christopher Lawrence, Mary Barth, John Orlando, Paul Casson, Richard Brandt, Daniel Kelting, Elizabeth Yerger, and Sara Lance
Atmos. Chem. Phys., 24, 13693–13713, https://doi.org/10.5194/acp-24-13693-2024, https://doi.org/10.5194/acp-24-13693-2024, 2024
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This work uses chemical transport and box modeling to study the gas- and aqueous-phase production of organic acid concentrations measured in cloud water at the summit of Whiteface Mountain on 1 July 2018. Isoprene was the major source of formic, acetic, and oxalic acid. Gas-phase chemistry greatly underestimated formic and acetic acid, indicating missing sources, while cloud chemistry was a key source of oxalic acid. More studies of organic acids are required to better constrain their sources.
Francisco J. Pérez-Invernón, Francisco J. Gordillo-Vázquez, Heidi Huntrieser, Patrick Jöckel, and Eric J. Bucsela
EGUsphere, https://doi.org/10.5194/egusphere-2024-3348, https://doi.org/10.5194/egusphere-2024-3348, 2024
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Lightning plays a significant role in tropospheric chemistry by producing substantial amounts of nitrogen oxides. According to recent estimates, thunderstorms that produce a higher lightning frequency rate also produce less nitrogen oxide per flash. We implemented the dependency of nitrogen oxide production per flash on lightning flash frequency in a chemical atmospheric model.
Markus Kilian, Volker Grewe, Patrick Jöckel, Astrid Kerkweg, Mariano Mertens, Andreas Zahn, and Helmut Ziereis
Atmos. Chem. Phys., 24, 13503–13523, https://doi.org/10.5194/acp-24-13503-2024, https://doi.org/10.5194/acp-24-13503-2024, 2024
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Anthropogenic emissions are a major source of precursors of tropospheric ozone. As ozone formation is highly non-linear, we apply a global–regional chemistry–climate model with a source attribution method (tagging) to quantify the contribution of anthropogenic emissions to ozone. Our analysis shows that the contribution of European anthropogenic emissions largely increases during large ozone periods, indicating that emissions from these sectors drive ozone values.
Kai-Lan Chang, Brian C. McDonald, and Owen R. Cooper
EGUsphere, https://doi.org/10.5194/egusphere-2024-3674, https://doi.org/10.5194/egusphere-2024-3674, 2024
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Exposure to high levels of ozone can be harmful to human health. This study shows consistent and robust evidence of decreasing ozone extremes across much of the United States over 1990–2023, previously attributed to ozone precursor emission controls. Nevertheless, we also show that the increasing heatwave frequencies are likely to contribute to additional ozone exceedances, slowing the progress of decreasing the frequency of ozone exceedances.
Barbara Ervens, Andrew Rickard, Bernard Aumont, William P. L. Carter, Max McGillen, Abdelwahid Mellouki, John Orlando, Bénédicte Picquet-Varrault, Paul Seakins, William R. Stockwell, Luc Vereecken, and Timothy J. Wallington
Atmos. Chem. Phys., 24, 13317–13339, https://doi.org/10.5194/acp-24-13317-2024, https://doi.org/10.5194/acp-24-13317-2024, 2024
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Chemical mechanisms describe the chemical processes in atmospheric models that are used to describe the changes in the atmospheric composition. Therefore, accurate chemical mechanisms are necessary to predict the evolution of air pollution and climate change. The article describes all steps that are needed to build chemical mechanisms and discusses the advances and needs of experimental and theoretical research activities needed to build reliable chemical mechanisms.
Yawen Kong, Bo Zheng, and Yuxi Liu
EGUsphere, https://doi.org/10.5194/egusphere-2024-2996, https://doi.org/10.5194/egusphere-2024-2996, 2024
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Current high-resolution satellite remote sensing technologies provide a unique opportunity to derive timely, high-resolution emission data. We developed an emission inversion system to assimilate satellite NO2 data to obtain daily, kilometer-scale NOx emission inventories. Our results enhance inventory accuracy, allowing us to capture the effects of pollution control policies on daily emissions (e.g., during COVID-19 lockdown) and improve fine-scale air quality modeling.
Jianing Dai, Guy P. Brasseur, Mihalis Vrekoussis, Maria Kanakidou, Kun Qu, Yijuan Zhang, Hongliang Zhang, and Tao Wang
Atmos. Chem. Phys., 24, 12943–12962, https://doi.org/10.5194/acp-24-12943-2024, https://doi.org/10.5194/acp-24-12943-2024, 2024
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This paper employs a regional chemical transport model to quantify the sensitivity of air pollutants and photochemical parameters to specified emission reductions in China for representative winter and summer conditions. The study provides insights into further air quality control in China with reduced primary emissions.
T. Nash Skipper, Emma L. D'Ambro, Forwood C. Wiser, V. Faye McNeill, Rebecca H. Schwantes, Barron H. Henderson, Ivan R. Piletic, Colleen B. Baublitz, Jesse O. Bash, Andrew R. Whitehill, Lukas C. Valin, Asher P. Mouat, Jennifer Kaiser, Glenn M. Wolfe, Jason M. St. Clair, Thomas F. Hanisco, Alan Fried, Bryan K. Place, and Havala O.T. Pye
Atmos. Chem. Phys., 24, 12903–12924, https://doi.org/10.5194/acp-24-12903-2024, https://doi.org/10.5194/acp-24-12903-2024, 2024
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We develop the Community Regional Atmospheric Chemistry Multiphase Mechanism (CRACMM) version 2 to improve predictions of formaldehyde in ambient air compared to satellite-, aircraft-, and ground-based observations. With the updated chemistry, we estimate the cancer risk from inhalation exposure to ambient formaldehyde across the contiguous USA and predict that 40 % of this risk is controllable through reductions in anthropogenic emissions of nitrogen oxides and reactive organic carbon.
Baoshuang Liu, Yao Gu, Yutong Wu, Qili Dai, Shaojie Song, Yinchang Feng, and Philip K. Hopke
Atmos. Chem. Phys., 24, 12861–12879, https://doi.org/10.5194/acp-24-12861-2024, https://doi.org/10.5194/acp-24-12861-2024, 2024
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Reactive loss of volatile organic compounds (VOCs) is a long-term issue yet to be resolved in VOC source analyses. We assess common methods of, and existing issues in, reducing losses, impacts of losses, and sources in current source analyses. We offer a potential supporting role for solving issues of VOC conversion. Source analyses of consumed VOCs that reacted to produce ozone and secondary organic aerosols can play an important role in the effective control of secondary pollution in air.
Deepangsu Chatterjee, Randall V. Martin, Chi Li, Dandan Zhang, Haihui Zhu, Daven K. Henze, James H. Crawford, Ronald C. Cohen, Lok N. Lamsal, and Alexander M. Cede
Atmos. Chem. Phys., 24, 12687–12706, https://doi.org/10.5194/acp-24-12687-2024, https://doi.org/10.5194/acp-24-12687-2024, 2024
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We investigate the hourly variation of NO2 columns and surface concentrations by applying the GEOS-Chem model to interpret aircraft and ground-based measurements over the US and Pandora sun photometer measurements over the US, Europe, and Asia. Corrections to the Pandora columns and finer model resolution improve the modeled representation of the summertime hourly variation of total NO2 columns to explain the weaker hourly variation in NO2 columns than at the surface.
Kiyeon Kim, Kyung Man Han, Chul Han Song, Hyojun Lee, Ross Beardsley, Jinhyeok Yu, Greg Yarwood, Bonyoung Koo, Jasper Madalipay, Jung-Hun Woo, and Seogju Cho
Atmos. Chem. Phys., 24, 12575–12593, https://doi.org/10.5194/acp-24-12575-2024, https://doi.org/10.5194/acp-24-12575-2024, 2024
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We incorporated each HONO process into the current CMAQ modeling framework to enhance the accuracy of HONO mixing ratio predictions. These results expand our understanding of HONO photochemistry and identify crucial sources of HONO that impact the total HONO budget in Seoul, South Korea. Through this investigation, we contribute to resolving discrepancies in understanding chemical transport models, with implications for better air quality management and environmental protection in the region.
Flossie Brown, Gerd Folberth, Stephen Sitch, Paulo Artaxo, Marijn Bauters, Pascal Boeckx, Alexander W. Cheesman, Matteo Detto, Ninong Komala, Luciana Rizzo, Nestor Rojas, Ines dos Santos Vieira, Steven Turnock, Hans Verbeeck, and Alfonso Zambrano
Atmos. Chem. Phys., 24, 12537–12555, https://doi.org/10.5194/acp-24-12537-2024, https://doi.org/10.5194/acp-24-12537-2024, 2024
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Ozone is a pollutant that is detrimental to human and plant health. Ozone monitoring sites in the tropics are limited, so models are often used to understand ozone exposure. We use measurements from the tropics to evaluate ozone from the UK Earth system model, UKESM1. UKESM1 is able to capture the pattern of ozone in the tropics, except in southeast Asia, although it systematically overestimates it at all sites. This work highlights that UKESM1 can capture seasonal and hourly variability.
Namrata Shanmukh Panji, Deborah F. McGlynn, Laura E. R. Barry, Todd M. Scanlon, Manuel T. Lerdau, Sally E. Pusede, and Gabriel Isaacman-VanWertz
Atmos. Chem. Phys., 24, 12495–12507, https://doi.org/10.5194/acp-24-12495-2024, https://doi.org/10.5194/acp-24-12495-2024, 2024
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Climate change will bring about changes in parameters that are currently used in global-scale models to calculate biogenic emissions. This study seeks to understand the factors driving these models by comparing long-term datasets of biogenic compounds to modeled emissions. We note that the light-dependent fractions currently used in models do not accurately represent regional observations. We provide evidence for the time-dependent variation in this parameter for future modifications to models.
Martin Vojta, Andreas Plach, Saurabh Annadate, Sunyoung Park, Gawon Lee, Pallav Purohit, Florian Lindl, Xin Lan, Jens Mühle, Rona L. Thompson, and Andreas Stohl
Atmos. Chem. Phys., 24, 12465–12493, https://doi.org/10.5194/acp-24-12465-2024, https://doi.org/10.5194/acp-24-12465-2024, 2024
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We constrain the global emissions of the very potent greenhouse gas sulfur hexafluoride (SF6) between 2005 and 2021. We show that SF6 emissions are decreasing in the USA and in the EU, while they are substantially growing in China, leading overall to an increasing global emission trend. The national reports for the USA, EU, and China all underestimated their SF6 emissions. However, stringent mitigation measures can successfully reduce SF6 emissions, as can be seen in the EU emission trend.
Dominika Pasik, Thomas Golin Almeida, Emelda Ahongshangbam, Siddharth Iyer, and Nanna Myllys
EGUsphere, https://doi.org/10.5194/egusphere-2024-3464, https://doi.org/10.5194/egusphere-2024-3464, 2024
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We used quantum chemistry methods to investigate the oxidation mechanisms of acyl peroxy radicals (APRs) with various monoterpenes. Our findings reveal unique oxidation pathways for different monoterpenes, leading to either chain-terminating products or highly reactive intermediates that can contribute to particle formation in the atmosphere. This research highlights APRs as potentially significant but underexplored atmospheric oxidants, which may influence future approaches to modeling climate.
Yasin Elshorbany, Jerald R. Ziemke, Sarah Strode, Hervé Petetin, Kazuyuki Miyazaki, Isabelle De Smedt, Kenneth Pickering, Rodrigo J. Seguel, Helen Worden, Tamara Emmerichs, Domenico Taraborrelli, Maria Cazorla, Suvarna Fadnavis, Rebecca R. Buchholz, Benjamin Gaubert, Néstor Y. Rojas, Thiago Nogueira, Thérèse Salameh, and Min Huang
Atmos. Chem. Phys., 24, 12225–12257, https://doi.org/10.5194/acp-24-12225-2024, https://doi.org/10.5194/acp-24-12225-2024, 2024
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We investigated tropospheric ozone spatial variability and trends from 2005 to 2019 and related those to ozone precursors on global and regional scales. We also investigate the spatiotemporal characteristics of the ozone formation regime in relation to ozone chemical sources and sinks. Our analysis is based on remote sensing products of the tropospheric column of ozone and its precursors, nitrogen dioxide, formaldehyde, and total column CO, as well as ozonesonde data and model simulations.
Ragnhild Bieltvedt Skeie, Marit Sandstad, Srinath Krishnan, Gunnar Myhre, and Maria Sand
EGUsphere, https://doi.org/10.5194/egusphere-2024-3079, https://doi.org/10.5194/egusphere-2024-3079, 2024
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Hydrogen leakages can alter the amount of climate gases in the atmosphere and hence have a climate impact. In this study we investigate, using an atmospheric chemistry model, how this indirect climate effect differs for different amounts of leakages, where the hydrogen leaks and if this effect changes in the future. The effect is largest for emissions far from areas where hydrogen is removed from the atmosphere by the soil, but these are not relevant locations for a future hydrogen economy.
Mariano Mertens, Sabine Brinkop, Phoebe Graf, Volker Grewe, Johannes Hendricks, Patrick Jöckel, Anna Lanteri, Sigrun Matthes, Vanessa S. Rieger, Mattia Righi, and Robin N. Thor
Atmos. Chem. Phys., 24, 12079–12106, https://doi.org/10.5194/acp-24-12079-2024, https://doi.org/10.5194/acp-24-12079-2024, 2024
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We quantified the contributions of land transport, shipping, and aviation emissions to tropospheric ozone; its radiative forcing; and the reductions of the methane lifetime using chemistry-climate model simulations. The contributions were analysed for the conditions of 2015 and for three projections for the year 2050. The results highlight the challenges of mitigating ozone formed by emissions of the transport sector, caused by the non-linearitiy of the ozone chemistry and the long lifetime.
Jincheol Park, Yunsoo Choi, and Sagun Kayastha
EGUsphere, https://doi.org/10.5194/egusphere-2024-3312, https://doi.org/10.5194/egusphere-2024-3312, 2024
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We investigated NOx emissions’ contributions to nitrogen loadings across five regions of East Asia during the 2022 winter-spring transition through chemical transport modeling informed by satellite data. As seasons progress, local contributions within each region to its NOy budget decreased from 32 %–43 % to 23 %–30 %, while transboundary contributions increased from 16 %–33 % to 27 %–37 %, driven by a shift in synoptic settings that allowed pollutants to spread more broadly across the regions.
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.
Siting Li, Yiming Liu, Yuqi Zhu, Yinbao Jin, Yingying Hong, Ao Shen, Yifei Xu, Haofan Wang, Haichao Wang, Xiao Lu, Shaojia Fan, and Qi Fan
Atmos. Chem. Phys., 24, 11521–11544, https://doi.org/10.5194/acp-24-11521-2024, https://doi.org/10.5194/acp-24-11521-2024, 2024
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This study establishes an inventory of anthropogenic chlorine emissions in China in 2019 with expanded species (HCl, Cl-, Cl2, HOCl) and sources (41 specific sources). The inventory is validated by a modeling study against the observations. This study enhances the understanding of anthropogenic chlorine emissions in the atmosphere, identifies key sources, and provides scientific support for pollution control and climate change.
Willem E. van Caspel, Zbigniew Klimont, Chris Heyes, and Hilde Fagerli
Atmos. Chem. Phys., 24, 11545–11563, https://doi.org/10.5194/acp-24-11545-2024, https://doi.org/10.5194/acp-24-11545-2024, 2024
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Methane in the atmosphere contributes to the production of ozone gas – an air pollutant and greenhouse gas. Our results highlight that simultaneous reductions in methane emissions help avoid offsetting the air pollution benefits already achieved by the already-approved precursor emission reductions by 2050 in the European Monitoring and Evaluation Programme region, while also playing an important role in bringing air pollution further down towards World Health Organization guideline limits.
Yujia Wang, Hongbin Wang, Bo Zhang, Peng Liu, Xinfeng Wang, Shuchun Si, Likun Xue, Qingzhu Zhang, and Qiao Wang
EGUsphere, https://doi.org/10.5194/egusphere-2024-2791, https://doi.org/10.5194/egusphere-2024-2791, 2024
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This study established a bottom-up approach that employs real-time traffic flows and interpolation to obtain a spatially continuous on-road vehicle emission mapping for the main urban area of Jinan. The diurnal variation, spatial distribution, and emission hotspots were analyzed with clustering and hotspot analysis, showing unique fine-scale variation characteristics of on-road vehicle emissions. Future scenario analysis demonstrates remarkable benefits of electrification on emission reduction.
Laura Stecher, Franziska Winterstein, Patrick Jöckel, Michael Ponater, Mariano Mertens, and Martin Dameris
EGUsphere, https://doi.org/10.5194/egusphere-2024-2938, https://doi.org/10.5194/egusphere-2024-2938, 2024
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Methane, the second most important anthropogenic greenhouse gas, is chemically decomposed in the atmosphere. The chemical sink of atmospheric methane is not constant, but depends on the temperature and on the abundance of its reaction partners. In this study, we use a global chemistry-climate model to assess the feedback of atmospheric methane induced by changes of the chemical sink in a warming climate, and its implications for the chemical composition and the surface air temperature change.
Tia R. Scarpelli, Paul I. Palmer, Mark Lunt, Ingrid Super, and Arjan Droste
Atmos. Chem. Phys., 24, 10773–10791, https://doi.org/10.5194/acp-24-10773-2024, https://doi.org/10.5194/acp-24-10773-2024, 2024
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Under the Paris Agreement, countries must track their anthropogenic greenhouse gas emissions. This study describes a method to determine self-consistent estimates for combustion emissions and natural fluxes of CO2 from atmospheric data. We report consistent estimates inferred using this approach from satellite data and ground-based data over Europe, suggesting that satellite data can be used to determine national anthropogenic CO2 emissions for countries where ground-based CO2 data are absent.
Yufen Wang, Ke Li, Xi Chen, Zhenjiang Yang, Minglong Tang, Pascoal M. D. Campos, Yang Yang, Xu Yue, and Hong Liao
EGUsphere, https://doi.org/10.5194/egusphere-2024-2576, https://doi.org/10.5194/egusphere-2024-2576, 2024
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The impact of biomass burning and anthropogenic emissions on high tropospheric ozone was not well studied in Southern Africa. We combined the model simulation with recent observations at the surface and from space to quantify tropospheric ozone and its main drivers in Southern Africa. Our work focuses on the impact of emissions from different sources at different spatial scales, contributing to a comprehensive understanding of air pollution drivers and their uncertainties in Southern Africa.
Yafang Guo, Mohammad Amin Mirrezaei, Armin Sorooshian, and Avelino F. Arellano
EGUsphere, https://doi.org/10.5194/egusphere-2024-2617, https://doi.org/10.5194/egusphere-2024-2617, 2024
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We assess the contributions of fire and anthropogenic emissions to O3 levels in Phoenix Arizona during a period of intense heat and drought conditions. We find that fire exacerbates O3 pollution and that interactions between weather, climate, and air chemistry are important to consider. This has implications to activities related to formulating emission reduction strategies in areas that are currently under-studied yet becoming relevant due to reports of increasing global aridity.
Qianqian Zhang, K. Folkert Boersma, Chiel van der Laan, Alba Mols, Bin Zhao, Shengyue Li, and Yuepeng Pan
EGUsphere, https://doi.org/10.5194/egusphere-2024-2641, https://doi.org/10.5194/egusphere-2024-2641, 2024
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Accurate NOx emission estimates are required to better understand air pollution. This study investigates and demonstrates the ability of the superposition column model in combination with TROPOMI tropospheric NO2 column data to estimate city-scale NOx emissions and lifetimes and their variabilities. The results of this work nevertheless confirm the strength of the superposition column model in estimating urban NOx emissions with reasonable accuracy.
Ryan J. Pound, Lucy V. Brown, Mat J. Evans, and Lucy J. Carpenter
Atmos. Chem. Phys., 24, 9899–9921, https://doi.org/10.5194/acp-24-9899-2024, https://doi.org/10.5194/acp-24-9899-2024, 2024
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Iodine-mediated loss of ozone to the ocean surface and the subsequent emission of iodine species has a large effect on the troposphere. Here we combine recent experimental insights to develop a box model of the process, which we then parameterize and incorporate into the GEOS-Chem transport model. We find that these new insights have a small impact on the total emission of iodine but significantly change its distribution.
Mingzhao Liu, Lars Hoffmann, Jens-Uwe Grooß, Zhongyin Cai, Sabine Grießbach, and Yi Heng
EGUsphere, https://doi.org/10.5194/egusphere-2024-2596, https://doi.org/10.5194/egusphere-2024-2596, 2024
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We studied the transport and chemical decomposition of volcanic SO2, focusing on the 2019 Raikoke event. By comparing two different chemistry modeling schemes, we found that including complex chemical reactions leads to a more accurate prediction of how long SO2 stays in the atmosphere. This research helps improve our understanding of volcanic pollution and its impact on air quality and climate, providing better tools for scientists to track and predict the movement of these pollutants.
Cited articles
Airbase: Air quality e-reporting, available at: https://www.eea.europa.eu/data-and-maps/data/aqereporting-8, last access:
15 July 2020.
Amato, F., Karanasiou, A., Moreno, T., Alastuey, A., Orza, J., Lumbreras,
J., Borge, R., Boldo, E., Linares, C., and Querol, X.: Emission factors from
road dust resuspension in a Mediterranean freeway, Atmos. Environ., 61,
580–587, https://doi.org/10.1016/j.atmosenv.2012.07.065, 2012.
Apte, J. S., Brauer, M., Cohen, A. J., Ezzati, M., and Pope III, C. A.: Ambient PM2.5 Reduces Global and Regional Life Expectancy, Environ. Sci. Tech. Lett., 5, 546–551, https://doi.org/10.1021/acs.estlett.8b00360, 2018.
Arianet: SURFPRO3 User's guide (SURFace-atmosphere interface PROcessor,
Version 3), Software manual, Arianet R2011.31, Milan, Italy, 2011.
Arianet: Emission Manager. Modular processing system for model-ready
emission input Preparation, Software Manual, Milan, Italy, 2014.
Badia, A. and Jorba, O.: Gas-phase evaluation of the online NMMB/BSC-CTM
model over Europe for 2010 in the framework of the AQMEII-Phase2 project,
Atmos. Environ., 115, 657–669,
https://doi.org/10.1016/j.atmosenv.2014.05.055, 2015.
Bessagnet, B., Pirovano, G., Mircea, M., Cuvelier, C., Aulinger, A., Calori, G., Ciarelli, G., Manders, A., Stern, R., Tsyro, S., García Vivanco, M., Thunis, P., Pay, M.-T., Colette, A., Couvidat, F., Meleux, F., Rouïl, L., Ung, A., Aksoyoglu, S., Baldasano, J. M., Bieser, J., Briganti, G., Cappelletti, A., D'Isidoro, M., Finardi, S., Kranenburg, R., Silibello, C., Carnevale, C., Aas, W., Dupont, J.-C., Fagerli, H., Gonzalez, L., Menut, L., Prévôt, A. S. H., Roberts, P., and White, L.: Presentation of the EURODELTA III intercomparison exercise – evaluation of the chemistry transport models' performance on criteria pollutants and joint analysis with meteorology, Atmos. Chem. Phys., 16, 12667–12701, https://doi.org/10.5194/acp-16-12667-2016, 2016.
Bigi, A. and Ghermandi, G.: Trends and variability of atmospheric PM2.5 and PM10–2.5 concentration in the Po Valley, Italy, Atmos. Chem. Phys., 16, 15777–15788, https://doi.org/10.5194/acp-16-15777-2016, 2016.
Binkowski, F. S. and Roselle, S. J.: Models-3 community multiscale air
quality (CMAQ) model aerosol component 1. Model description, J. Geophys.
Res., 108, 4183, https://doi.org/10.1029/2001JD001409,
2003.
BRACE: http://www.brace.sinanet.apat.it/web/struttura.html (last access: 14 July 2021), 2013.
Cadum, E., Rossi, G., Mirabelli, D., Vigotti, M.A., Natale, P., Albano, L.,
Marchi, G., Di Meo, V., Cristofani, R., and Costa, G.: Air pollution and
daily mortality in Turin, 1991–1996, Epidemiologia e Prevenzione, 23,
268–276, available at: https://europepmc.org/article/med/10730467 (last access: 15 May 2020), 1999 (in Italian).
Carnell, E., Vieno, M., Vardoulakis, S., Beck, R., Heaviside, C., Tomlinson,
S., Dragosits, U., Healand, M. R., and Reis, S.: Modelling public health
improvements as a result of air pollution control policies in the UK over
four decades – 1970 to 2010, Environ. Res. Lett., 14, 074001,
https://doi.org/10.1088/1748-9326/ab1542, 2019.
Carslaw, D. C. and Ropkins, K.: Openair – an R package for air quality data
analysis, Environ. Modell. Softw., 27–28, 52–61,
https://doi.org/10.1016/j.envsoft.2011.09.008, 2012.
Carter, W. P. L.: Documentation of the SAPRC-99 chemical mechanism for VOC
reactivity assessment. Final Report to California Air Resources Board,
Contract No. 92-329, and (in part) 95-308, Sacramento, CA, USA, 2000.
Carugno, M., Consonni, D., Bertazzi, P.A., Biggeri, A., and Baccini, M.:
Temporal trends of PM10 and its impact on mortality in Lombardy, Italy,
Environ. Poll., 227, 280–286, https://doi.org/10.1016/j.envpol.2017.04.077, 2017.
Casale, G. R., Meloni, D., Miano, S., Palmieri, S., Siani, A. M., and
Cappellani, F.: Solar UV-B irradiance and total ozone in Italy: Fluctuations
and trends, J. Geophys. Res., 105, 4895-4901, https://doi.org/10.1029/1999JD900303, 2000.
Cattani, G., Di Menno di Bucchianico, A., Dina, D., Inglessis, M., Notaro,
C., Settimo, G., Viviano, G., and Marconi, A.: Evaluation of the temporal
variation of air quality in Rome, Italy, from 1999 to 2008, Ann. Ist. Super
Sanità, 46, 242–253, https://doi.org/10.4415/ANN_10_03_04, 2010.
Cattani, G., Bernetti, A., Caricchia, A., De Lauretis, R., De Marco, S., Di
Menno di Bucchianico, A., Gaeta, A., Gandolfo, G., and Taurino, E.: Analisi
dei trend dei principali inquinanti atmosferici in Italia 2003–2012, ISPRA,
Rome, Italy, report 203/2014, 2014 (in Italian).
Cattani, G., Di Menno di Bucchianico, A., Fioravanti, G., Gaeta, A.,
Gandolfo, G., Lena, F., and Leone, G.: Analisi dei trend dei principali
inquinanti atmosferici in Italia 2008–2017, ISPRA, Rome, Italy, report
302/2018, 2018 (in Italian).
Chang, J. C. and Hanna, S. R.: Air quality model performance evaluation,
Meteorol. Atmos. Phys., 87, 167–196,
https://doi.org/10.1007/s00703-003-0070-7, 2004.
Chemel, C., Sokhi, R. S., Yu, Y., Hayman, G. D., Vincent, K. J., Dore, A.
J., Tang, Y. S., Prain, H. D., and Fisher, B.: Evaluation of a CMAQ
simulation at high resolution over the UK for the calendar year 2003, Atmos.
Environ., 44, 2927–2939, https://doi.org/10.1016/j.atmosenv.2010.03.029, 2010.
Chen, C. and Cotton, W. R.: A one-dimensional simulation of the
stratocumulus-capped mixed layer, Bound.-Lay. Meteorol., 25, 289–321, https://doi.org/10.1007/BF00119541, 1983.
Ciarelli, G., Theobald, M. R., Vivanco, M. G., Beekmann, M., Aas, W., Andersson, C., Bergström, R., Manders-Groot, A., Couvidat, F., Mircea, M., Tsyro, S., Fagerli, H., Mar, K., Raffort, V., Roustan, Y., Pay, M.-T., Schaap, M., Kranenburg, R., Adani, M., Briganti, G., Cappelletti, A., D'Isidoro, M., Cuvelier, C., Cholakian, A., Bessagnet, B., Wind, P., and Colette, A.: Trends of inorganic and organic aerosols and precursor gases in Europe: insights from the EURODELTA multi-model experiment over the 1990–2010 period, Geosci. Model Dev., 12, 4923–4954, https://doi.org/10.5194/gmd-12-4923-2019, 2019.
Ciucci, A., D'Elia, I., Wagner, F., Sander, R., Ciancarella, L., Zanini, G.,
and Schöpp, W.: Cost-effective reductions of PM2.5 concentrations and exposure in Italy, Atmos. Environ., 140, 84–93,
https://doi.org/10.1016/j.atmosenv.2016.05.049, 2016.
Cohen, A. J., Brauer, M., Burnett, R., Anderson, H. R., Frostad, J., Estep,
K., Balakrishnan, K., Brunekreef, B., Dandona, L., Dandona, R., Feigin, V.,
Freedman, G., Hubbell, B., Jobling, A., Kan, H., Knibbs, L., Liu, Y.,
Martin, R., Morawska, L., Pope, C. A., Shin, H., Straif, K., Shaddick, G.,
Thomas, M., van Dingenen, R., van Donkelaar, A., Vos, T., Murray, C. J. L.,
and Forouzanfar, M. H.: Estimates and 25-year trends of the global burden of
disease attributable to ambient air pollution: an analysis of data from the
Global Burden of Diseases Study 2015, Lancet, 389, 1907–1918,
https://doi.org/10.1016/S0140-6736(17)30505-6, 2017.
Colette, A., Granier, C., Hodnebrog, Ø., Jakobs, H., Maurizi, A., Nyiri, A., Bessagnet, B., D'Angiola, A., D'Isidoro, M., Gauss, M., Meleux, F., Memmesheimer, M., Mieville, A., Rouïl, L., Russo, F., Solberg, S., Stordal, F., and Tampieri, F.: Air quality trends in Europe over the past decade: a first multi-model assessment, Atmos. Chem. Phys., 11, 11657–11678, https://doi.org/10.5194/acp-11-11657-2011, 2011.
Colette, A., Aas, W., Banin, L., Braban, C. F., Ferm, M., González
Ortiz, A., Ilyin, I., Mar, K., Pandolfi, M., Putaud, J.-P., Shatalov, V.,
Solberg, S., Spindler, G., Tarasova, O., Vana, M., Adani, M., Almodovar, P.,
Berton, E., Bessagnet, B., Bohlin-Nizzetto, P., Boruvkova, J., Breivik, K.,
Briganti, G., Cappelletti, A., Cuvelier, K., Derwent, R., D'Isidoro, M.,
Fagerli, H., Funk, C., Garcia Vivanco, M., Haeuber, R., Hueglin, C.,
Jenkins, S., Kerr, J., de Leeuw, F., Lynch, J., Manders, A., Mircea, M.,
Pay, M. T., Pritula, D., Querol, X., Raffort, V., Reiss, I., Roustan, Y.,
Sauvage, S., Scavo, K., Simpson, D., Smith, R. I., Tang, Y. S., Theobald,
M., Tørseth, K., Tsyro, S., van Pul, A., Vidic, S., Wallasch, M., and
Wind, P.: Air pollution trends in the EMEP region between 1990 and 2012,
NILU, Oslo, Norway, 2016.
Colette, A., Andersson, C., Manders, A., Mar, K., Mircea, M., Pay, M.-T., Raffort, V., Tsyro, S., Cuvelier, C., Adani, M., Bessagnet, B., Bergström, R., Briganti, G., Butler, T., Cappelletti, A., Couvidat, F., D'Isidoro, M., Doumbia, T., Fagerli, H., Granier, C., Heyes, C., Klimont, Z., Ojha, N., Otero, N., Schaap, M., Sindelarova, K., Stegehuis, A. I., Roustan, Y., Vautard, R., van Meijgaard, E., Vivanco, M. G., and Wind, P.: EURODELTA-Trends, a multi-model experiment of air quality hindcast in Europe over 1990–2010, Geosci. Model Dev., 10, 3255–3276, https://doi.org/10.5194/gmd-10-3255-2017, 2017a.
Colette, A., Solberg, S., Beauchamp, M., Bessagnet, B., Malherbe, L.,
Guerreiro, C., Andersson, A., Cuvelier, C., Manders, A., Mar, K. A., Mircea,
M., Pay, M. T., Raffort, V., Tsyro, S., Adani, M., Bergström, R.,
Briganti, G., Cappelletti, A., Couvidat, F., D'Isidoro, M., Fagerli, H.,
Ojha, N., Otero, N., and Wind, P.: Long term air quality trends in Europe.
Contribution of meteorological variability, natural factors and emissions,
ETC/ACM, Bilthoven, the Netherlands, Technical Paper 2016/7, 2017b.
Cotton, W. R., Pielke Sr., R. A., Walko, R. L., Liston, G. E., Tremback, C.
J., Jiang, H., McAnelly, R. L., Harrington, J. Y., Nicholls, M. E., Carrio,
G. G., and McFadden, J. P.: RAMS 2001: Current status and future directions,
Meteorol. Atmos. Phys., 82, 5–29, https://doi.org/10.1007/s00703-001-0584-9, 2003 (data available at: http://www.atmet.com/software/rams_soft.shtml, last access: 19 October 2020).
Cristofanelli, P., Scheel, H.-E., Steinbacher, M., Saliba, M., Azzopardi,
F., Ellul, R., Fröhlich, M., Tositti, L., Brattich, E., Maione, M.,
Calzolari, F., Duchi, R., Landi, T. C., Marinoni, A., and Bonasoni, P.:
Long-term surface ozone variability at Mt. Cimone WMO/GAW global station
(2165 m a.s.l., Italy), Atmos. Environ., 101, 23–33, https://doi.org/10.1016/j.atmosenv.2014.11.012, 2015.
D'Elia, I., Bencardino, M., Ciancarella, L., Contaldi, M., and Vialetto, G.:
Technical and Non-Technical Measures for air pollution emission reduction:
The integrated assessment of the regional Air Quality Management Plans
through the Italian national model, Atmos. Environ., 43, 6182–6189,
https://doi.org/10.1016/j.atmosenv.2009.09.003, 2009.
D'Elia, I., Piersanti, A., Briganti, G., Cappelletti, A., Ciancarella, L.,
and Peschi, E.: Evaluation of mitigation measures for air quality in Italy
in 2020 and 2030, Atmos. Poll. Res., 9, 977–988,
https://doi.org/10.1016/j.apr.2018.03.002, 2018.
De Marco, A., Proietti, C., Anav, A., Ciancarella, L., D'Elia, I., Fares,
S., Fornasier, M.F., Fusaro, L., Gualtieri, M., Manes, F., Marchetto, A.,
Mircea, M., Paoletti, E., Piersanti, A., Rogora, M., Salvati, L., Salvatori,
E., Screpanti, A., and Leonardi, C.: Impacts of air pollution on human and
ecosystem health, and implications for the National Emission Ceilings
Directive: Insight from Italy, Environ. Int., 125, 320–333, https://doi.org/10.1016/j.envint.2019.01.064, 2019.
Dufour, G., Eremenko, M., Beekmann, M., Cuesta, J., Foret, G., Fortems-Cheiney, A., Lachâtre, M., Lin, W., Liu, Y., Xu, X., and Zhang, Y.: Lower tropospheric ozone over the North China Plain: variability and trends revealed by IASI satellite observations for 2008–2016, Atmos. Chem. Phys., 18, 16439–16459, https://doi.org/10.5194/acp-18-16439-2018, 2018.
European Commission (EC): Council Decision 97/101/EC of 27 January 1997
establishing a reciprocal exchange of information and data from networks and
individual stations measuring ambient air pollution within the Member
States, Official Journal of the European Communities, L 35, 14–22, 1997.
European Commission (EC): Directive 2008/50/EC of the European Parliament and
of the Council of 21 May 2008 on ambient air quality and cleaner air for
Europe (The Framework Directive), Official Journal European Union En.
Series, OJ L 152, 11 June 2008, 1–44, Brussels, Belgium, 2008.
European Commission (EC): Directive (EU) 2016/2284 of the European Parliament
and of the Council of 14 December 2016 on the reduction of national
emissions of certain atmospheric pollutants, amending Directive 2003/35/EC
and repealing Directive 2001/81/EC. Official Journal of the European Union,
OJ L 344, 17 December 2016, 1–31, Brussels, Belgium, 2016.
European Environmental Agency (EEA): Assessment of ground-level ozone in EEA
member countries, with a focus on long-term trends, European Environment
Agency, Copenhagen, Denmark, 56, https://doi.org/10.2800/11798, 2009.
European Environmental Agency (EEA): Air quality in Europe – 2020 report.
EEA, Luxembourg: Publications Office of the European Union, Luxembourg
Report, 09/2020, https://doi.org/10.2800/786656, 2020.
Feng, Z., De Marco, A., Anav, A., Gualtieri, M., Sicard, P., Tian, H.,
Fornasier, F., Tao, F., Guo, A., and Paoletti, E.: Economic losses due to
ozone impacts on human health, forest productivity and crop yield across
China, Environ. Int., 131, 104966,
https://doi.org/10.1016/j.envint.2019.104966, 2019.
Fountoukis, C. and Nenes, A.: ISORROPIA II: a computationally efficient
thermodynamic equilibrium model for
K+–Ca2+–Mg2+–
Fuzzi, S., Baltensperger, U., Carslaw, K., Decesari, S., Denier van der Gon, H., Facchini, M. C., Fowler, D., Koren, I., Langford, B., Lohmann, U., Nemitz, E., Pandis, S., Riipinen, I., Rudich, Y., Schaap, M., Slowik, J. G., Spracklen, D. V., Vignati, E., Wild, M., Williams, M., and Gilardoni, S.: Particulate matter, air quality and climate: lessons learned and future needs, Atmos. Chem. Phys., 15, 8217–8299, https://doi.org/10.5194/acp-15-8217-2015, 2015.
Gariazzo, C., Silibello, C., Finardi, S., Radice, P., Piersanti, A., Calori,
G., Cecinato, A., Perrino, C., Nussio, F., Cagnoli, M., Pelliccioni, A.,
Gobbi, G. P., and Di Filippo, P.: A gas/aerosol air pollutants study over
the urban area of Rome using a comprehensive chemical transport model,
Atmos. Environ., 41, 7286–7303, https://doi.org/10.1016/j.atmosenv.2007.05.018, 2007.
Gilardoni, S., Tarozzi, L., Sandrini, S., Ielpo, P., Contini, D., Putaud,
J-P., Cavalli, F., Poluzzi, V., Bacco, D., Leonardi, C., Genga, A., Langone,
L., and Fuzzi, S.: Reconstructing Elemental Carbon Long-Term Trend in the Po
Valley (Italy) from Fog Water Samples, Atmos., 11, 580, https://doi.org/10.3390/atmos11060580, 2020.
Gualtieri, G., Crisci, A., Tartaglia, M., Toscano, P., Vagnoli, C., Adreini,
B. P., and Gioli, B.: Analysis of 20-year air quality trends and relationship
with emission data: The case of Florence (Italy), Urban Climate, 10,
530–549, https://doi.org/10.1016/j.uclim.2014.03.010, 2014.
Guenther, A., Karl, T., Harley, P., Wiedinmyer, C., Palmer, P. I., and Geron, C.: Estimates of global terrestrial isoprene emissions using MEGAN (Model of Emissions of Gases and Aerosols from Nature), Atmos. Chem. Phys., 6, 3181–3210, https://doi.org/10.5194/acp-6-3181-2006, 2006.
Guerreiro, C. B. B., Foltescu, V., and de Leeuw, F.: Air quality status and trends in Europe, Atmos. Environ., 98, 376–384, https://doi.org/10.1016/j.atmosenv.2014.09.017, 2014.
Henschel, S., Le Tertre, A., Atkinson, R. W., Querol, X., Pandolfi, M.,
Zeka, A., Haluza, D., Analitis, A., Katsouyanni, K., Bouland, C., Pascal,
M., Medina, S., and Goodman, P. G.: Trends of nitrogen oxides in ambient air
in nine European cities between 1999 and 2010, Atmos. Environ., 117,
234–241, https://doi.org/10.1016/j.atmosenv.2015.07.013, 2015.
Iannone, F., Ambrosino, F., Bracco, G., De Rosa, M., Funel, A., Guarnieri,
G., Migliori, S., Palombi, F., Ponti, G., Santomauro, G., and Procacci, P.:
CRESCO ENEA HPC clusters: a working example of a multifabric GPFS Spectrum
Scale layout, 2019 International Conference on High Performance Computing
& Simulation (HPCS), 15–19 July 2019, Dublin, Ireland, 1051–1052,
https://doi.org/10.1109/HPCS48598.2019.9188135, 2019.
IIR: Italian Emission Inventory 1990–2019, Informative Inventory
Report 2021. Ispra Technical Report, 342/2021, Rome, Italy, 2021.
Im, U., Bianconi, R., Solazzo, E., Kioutsioukis, I., Badia, A., Balzarini, A., Baró, R., Bellasio, R., Brunner, D., Chemel, C., Curci, G., van der Gon, H. D., 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., 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.
ISPRA: Brace, available at:
http://www.brace.sinanet.apat.it/web/struttura.html?p_livello_1=18&p_main=web/area_download.inizio&p_scroll=, last access: 14 July 2021.
Iversen, T.: Modeled and measured transboundary acidifying pollution in
Europe: Verification and trends, Atmos. Environ., 27A, 889–920, https://doi.org/10.1016/0960-1686(93)90008-M, 1993.
Kalnay, E., Kanamitsu, M., Kistler, R., Collins, W., Deaven, D., Gandin, L.,
Iredell, M., Saha, S., White, G., Woollen, J., Zhu, Y., Chelliah, M.,
Ebisuzaki, W., Higgins, W., Janowiak, J., Mo, K. C., Ropelewski, C., Wang,
J., Leetmaa, A., Reynolds, R., Jenne, R., and Joseph, D.: The NCEP/NCAR
Reanalysis 40-year Project. Bull. Amer. Meteor. Soc., 77, 437–471,
https://doi.org/10.1175/1520-0477(1996)077<0437:TNYRP>2.0.CO;2, 1996.
Kendall, M. G.: Rank correlation methods., Charles Griffin & Co. Ltd.,
London, UK, 1975.
Kukkonen, J., Olsson, T., Schultz, D. M., Baklanov, A., Klein, T., Miranda, A. I., Monteiro, A., Hirtl, M., Tarvainen, V., Boy, M., Peuch, V.-H., Poupkou, A., Kioutsioukis, I., Finardi, S., Sofiev, M., Sokhi, R., Lehtinen, K. E. J., Karatzas, K., San José, R., Astitha, M., Kallos, G., Schaap, M., Reimer, E., Jakobs, H., and Eben, K.: A review of operational, regional-scale, chemical weather forecasting models in Europe, Atmos. Chem. Phys., 12, 1–87, https://doi.org/10.5194/acp-12-1-2012, 2012.
Lanzi, E. and Dellink, R.: Economic interactions between climate change and
outdoor air pollution. OECD Publishing, Paris, France, Environment Working
Papers, No. 148, https://doi.org/10.1787/8e4278a2-en, 2019.
Lefohn, A. S., Malley, C. S., Simon, H., Wells, B., Xu, X., Zhang, L., and
Wang, T.: Responses of human health and vegetation exposure metrics to
changes in ozone concentration distributions in the European Union, United
States, and China, Atmos. Environ., 152, 123–145, https://doi.org/10.1016/j.atmosenv.2016.12.025, 2017.
Lefohn, A. S., Malley, C. S., Smith, L., Wells, B., Hazucha, M., Simon, H.,
Naik, V., Mills, G., Schultz, M. G., Paoletti, E., De Marco, A., Xu, X.,
Zhang, L., Wang, T., Neufeld, H. S., Musselman, R. C., Tarasick, D., Brauer,
M., Feng, Z., Tang, H., Kobayashji, K., Sicard, P., Solberg, S., and Gerosa,
G.: Tropospheric ozone assessment report: Global ozone metrics for climate
change, human health, and crop/ecosystem research, Elem. Sci. Anth., 6, 28,
https://doi.org/10.1525/elementa.279, 2018.
Lonati, G. and Cernuschi, S.: Temporal and spatial variability of atmospheric ammonia in the Lombardy region (Northern Italy), Atmos. Poll. Res., 11, 2154–2163, https://doi.org/10.1016/j.apr.2020.06.004, 2020.
Maas, R. and Grennfelt, P. (Eds.): Towards Cleaner Air. Scientific
Assessment Report 2016. EMEP Steering Body and Working Group on Effects of
the Convention on Long-Range Transboundary Air Pollution, Oslo, Norway,
2016.
Mann, H. B.: Nonparametric tests against trend, Econometrica, 13,
245–259, https://doi.org/10.2307/1907187, 1945.
Mar, K. A., Colette, A., Adani, M., Bessagnet, B., Briganti, G.,
Cappelletti, A., Cuvelier, C., D'Isidoro, M., Fagerli, H., Vivanco, M. G.,
Manders, A., Pay, M. T., Raffort, V., Roustan, Y., Theobald, M., Tsyro, S.,
Wind, P., Ojha, N., Pozzer, A., and Butler, T.: Twenty years of ozone air
quality in Europe: trends in models and measurements, in: Quadrennial Ozone
Symposium of the International Ozone Commission (IO3C), 4–9 September 2016, Edinburgh, UK, 2016.
Masiol, M., Squizzato, S., Formenton, G., Harrison, R. M., and Agostinelli,
C.: Air quality across a European hotspot: Spatial gradients, seasonality,
diurnal cycles and trends in the Veneto region, NE Italy, Sci. Total
Environ., 576, 210–224, https://doi.org/10.1016/j.scitotenv.2016.10.042, 2017.
Mellor, G. L. and Yamada, T.: Development of a turbulence closure model for
geophysical fluid problems, Rev. Geophys., 20, 851–875, https://doi.org/10.1029/RG020i004p00851, 1982.
Mircea, M., Ciancarella, L., Briganti, G., Calori, G., Cappelletti, A.,
Cionni, I., Costa, M., Cremona, G., D'Isidoro, M., Finardi, S., Pace, G.,
Piersanti, A., Righini, G., Silibello, C., Vitali, L., and Zanini, G.:
Assessment of the AMS-MINNI system capabilities to predict air quality over
Italy for the calendar year 2005, Atmos. Environ., 84, 178–188,
https://doi.org/10.1016/j.atmosenv.2013.11.006, 2014.
Mircea, M., Grigoras, G., D'Isidoro, M., Righini, G., Adani, M., Briganti,
G., Ciancarella, L., Cappelletti, A., Calori, G., Cionni, I., Finardi, S.,
Larsen, B.R., Pace, G., Perrino, C., Piersanti, A., Silibello, C., and
Zanini, G.: Impact of grid resolution on aerosol predictions: a case study
over Italy, Aerosol Air Qual. Res., 16, 1253–1267, https://doi.org/10.4209/aaqr.2015.02.0058, 2016.
Monteiro, A., Gama, C., Candido, M., Ribeiro, I., Carvalho, D., and Lopes,
M.: Investigating ozone high levels and the role of sea breeze on its
transport, Atmos. Poll. Res.,7, 339–347,
https://doi.org/10.1016/j.apr.2015.10.013, 2016.
OECD: The economic consequences of outdoor air pollution. OECD Publishing,
Paris, France, https://doi.org/10.1787/9789264257474-en, 2016.
Padoan, E., Ajmone-Marsan, F., Querol, X., and Amato, F.: An empirical model
to predict road dust emissions based on pavement and traffic
characteristics, Environ. Poll., 237, 713–720, https://doi.org/10.1016/j.envpol.2017.10.115, 2018.
Pay, M. T., Martínez, F., Guevara, M., and Baldasano, J. M.: Air quality forecasts on a kilometer-scale grid over complex Spanish terrains, Geosci. Model Dev., 7, 1979–1999, https://doi.org/10.5194/gmd-7-1979-2014, 2014.
Piersanti, A., Cremona, G., Righini, G., Ciancarella, L., Cionni, I.,
D'Isidoro, M., Mircea, M., and Vitali, L.: GIS-based procedure for
evaluation of performances of the Italian atmospheric modelling system
simulated data versus observed measurement, In: Proceedings of the 6th
International Congress on Environmental Modelling and Software, 1–5 July 2012, Leipzig, Germany, iEMSs 2012, no. 172, 2012.
Pirovano, G., Balzarini, A., Bessagnet, B., Emery, C., Kallos, G., Meleux,
F., Mitsakou, C., Nopmongcol,U., Riva, G. M., and Yarwood, G.: Investigating
impacts of chemistry and transport model formulation on model performance at
European scale, Atmos. Environ., 53, 93–109,
https://doi.org/10.1016/j.atmosenv.2011.12.052, 2012.
Pope III, C. A. and Dockery, D. W.: Health effects of fine particulate air
pollution: lines that connect, J. Air Waste Manag. Assoc., 56, 709–742,
https://doi.org/10.1080/10473289.2006.10464485, 2006.
Pope III, C. A., Coleman, N., Pond, Z. A., and Burnett, R. T.: Fine particulate
air pollution and human mortality: 25+ years of cohort studies, Environ.
Res., 183, 108924, https://doi.org/10.1016/j.envres.2019.108924, 2020.
Pozzer, A., Bacer, S., De Zolt Sappadina, S., Predicatori, F., and Caleffi,
A.: Long-term concentrations of fine particulate matter and impact on human
health in Verona, Italy, Atmos. Poll. Res., 10, 731–738, https://doi.org/10.1016/j.apr.2018.11.012, 2019.
Putaud, J. P., Cavalli, F., Martins dos Santos, S., and Dell'Acqua, A.: Long-term trends in aerosol optical characteristics in the Po Valley, Italy, Atmos. Chem. Phys., 14, 9129–9136, https://doi.org/10.5194/acp-14-9129-2014, 2014.
Querol, X., Alastuey, A., Pandolfi, M., Reche, C., Perez, N., Minguillon,
M.C., Moreno, T., Viana, M., Escudero, M., Orio, A., Pallares, M., and
Reina, F.: 2001-2012 trends on air quality in Spain, Sci. Tot. Environ.,
490, 957–959, https://doi.org/10.1016/j.scitotenv.2014.05.074, 2014.
Rajagopalan, S., Al-Kindi, S. A., and Brook, R. D.: Air pollution and
cardiovascular disease: JACC State-of-the-Art review, J. Am. Coll. Cardiol.,
72, 2054–2070, https://doi.org/10.1016/j.jacc.2018.07.099, 2018.
Schaap, M., Cuvelier, C., Hendriks, C., Bessagnet, B., Baldasano, J. M.,
Colette, A., Thunis, P., Karam, D., Fagerli, H., Graff, A., Kranenburg, R.,
Nyiri, A., Pay, M. T., Rouil, L., Schulz, M., Simpson, D., Stern, R.,
Terrenoire, E., and Wind, P.: Performance of European chemistry transport
models as function of horizontal resolution, Atmos. Environ., 112, 90–105,
https://doi.org/10.1016/j.atmosenv.2015.04.003 , 2015.
Schell, B., Ackermann, I. J., Hass, H., Binkowski, F. S., and Ebel, A.:
Modeling the formation of secondary organic aerosol within a comprehensive
air quality modeling system, J. Geophys. Res., 106, 28275-28293,
https://doi.org/10.1029/2001JD000384, 2001.
Seinfeld, J. H. and Pandis, S. N.: Atmospheric chemistry and physics – from
air pollution to climate change, John Wiley and Sons, Inc., New York, USA,
1998.
Sen, P. K.: Estimates of the regression coefficient based on Kendall's tau,
J. Am. Stat. Assoc. 63, 1379–1389,
https://doi.org/10.1080/01621459.1968.10480934, 1968.
Sheng, J.-X., Jacob, D. J., Turner, A. J., Maasakkers, J. D., Benmergui, J., Bloom, A. A., Arndt, C., Gautam, R., Zavala-Araiza, D., Boesch, H., and Parker, R. J.: 2010–2016 methane trends over Canada, the United States, and Mexico observed by the GOSAT satellite: contributions from different source sectors, Atmos. Chem. Phys., 18, 12257–12267, https://doi.org/10.5194/acp-18-12257-2018, 2018.
Sicard, P., Coddeville, P., and Galloo, J. C.: Near-surface ozone levels and
trends at rural stations in France over the 1995–2003 period, Environ.
Monitor. Assess., 156, 141–157,
https://doi.org/10.1007/s10661-008-0470-8, 2009.
Silibello, C., Calori, G., Brusasca, G., Giudici, A., Angelino, E., Fossati,
G., Peroni, E., and Buganza, E.: Modelling of PM10 concentrations over
Milano urban area using two aerosol modules, Environ. Modell. Softw., 23,
333–343, https://doi.org/10.1016/j.envsoft.2007.04.002, 2008.
Sillman, S.: The relation between ozone, NOx and hydrocarbons in urban
and polluted rural environments, Atmos. Environ., 33, 1821–1845,
https://doi.org/10.1016/S1352-2310(98)00345-8, 1999.
Simon, H., Baker, K. R., and Phillips, S.: Compilation and interpretation of
photochemical model performance statistics published between 2006 and 2012,
Atmos. Environ., 61, 124–139,
https://doi.org/10.1016/j.atmosenv.2012.07.012, 2012.
Solazzo, E., Bianconi, R., Pirovano, G., Matthias, V., Vautard, R., Moran,
M. D., Appel, K. W., 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., Hogrefe, C., Miranda, A. I., Nopmongco, 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.
Solberg, S., Colette, A., and Guerreiro, C.: Discounting the impact of
meteorology to the ozone concentration trends. ETC/ACM, Bilthoven, the
Netherlands, Technical Paper 2015/9, 2015.
Taurino, E., Bernetti, A., De Lauretis, R., D'Elia, I., Di Cristofaro, E.,
Gagna, A, Gonella, B., Lena, B., Pantaleoni, M., Peschi, E., Romano, D., and
Vitullo, M.: Italian Emission Inventory 1990–2015. Informative Inventory
report 2017, ISPRA, Rome, Italy, Report 262/2017, 2017.
Theil, H.: A rank-invariant method of linear and polynomial regression
analysis, Proceedings of the Royal Netherlands. Acad. Sci. 53, 386–392,
https://doi.org/10.1007/978-94-011-2546-8_20, 1950.
Tremback, C. J.: Numerical simulation of a mesoscale convective complex:
Model development and numerical results, PhD Diss., Colorado State
University, Dissertation Abstracts International, 51-06, B, 2941, Colorado State University, available at: https://ui.adsabs.harvard.edu/abs/1990PhDT........56T (last access: 14 July 2021), 1990.
Tsyro, S. Andersson, C., Bessagnet, B., Colette, A., Couvidat, F., Cuvelier,
C., Manders, A., Mar, K., Mircea, M., Otero, N., Aas, W., Pay, M-T.,
Raffort, V., Roustan, Y., Theobald, M., Vivanco, M. G., Briganti, G.,
Cappelletti, A., D'Isidoro, M., Fagerli, H., and Wind, P.: Multi-model
assessment of PM Trends in Europe during two decades (1990–2010), in:
Proceedings of the 18th International Conference on Harmonisation
within Atmospheric Dispersion Modelling for Regulatory Purposes (HARMO 18), 9–12 October 2017, Bologne, Italy, 2017.
Uccelli, R., Mastrantonio, M., Altavista, P., Caiaffa, E., Cattani, G.,
Belli, S., and Comba, P.: Female lung cancer mortality and long-term
exposure to particulate matter in Italy, Eur. J. Public Health,
27, 178–183, https://doi.org/10.1093/eurpub/ckw203, 2017.
UNECE: Convention on Long Range Transboundary Air Pollution, available at: http://www.unece.org/env/lrtap/welcome.html.html (last access: 22 June
2020), 1979.
Vautard, R., Bessagnet, B., Chin, M., and Menut, L.: On the contribution of
natural Aeolian sources to particulate matter concentrations in Europe:
Testing hypotheses with a modelling approach, Atmos. Environ., 39,
3291–3303, https://doi.org/10.1016/j.atmosenv.2005.01.051, 2005.
Velders, G. J. M., Maas, R. J. M., Geilenkirchen, G. P., de Leeuw, F. A. A. M.,
Ligterink, N. E., Ruyssenaars, P., de Vries, W. J., and Wesseling, J.: Effects
of European emission reductions on air quality in the Netherlands and the
associated health effects, Atmos. Environ., 221, 117109, https://doi.org/10.1016/j.atmosenv.2019.117109, 2020.
Vitali, L., Adani, M., Briganti, G., Cappelletti, A., Ciancarella, L.,
Cremona, G., D'Elia, I., D'Isidoro, M., Guarnieri, G., Mircea, M.,
Piersanti, A., Righini, G., Russo, F., Villani, M. G., and Zanini, G.:
AMS-MINNI National Air Quality Simulation on Italy for the Calendar Year
2015. Annual Air Quality Simulation of MINNI Atmospheric Modelling System:
Results for the Calendar Year 2015 and Comparison with Observed Data, ENEA
Technical Report, RT/2019/15/ENEA, ISSN 2499-5347, available at:
http://hdl.handle.net/20.500.12079/52259 (last access: 14 July 2021), 2019.
Walko, R. L., Tremback, C. J., Pielke, R. A., and Cotton, W. R.: An interactive
nesting algorithm for stretched grids and variable nesting ratios, J. Appl.
Meteor., 34, 994–999, https://doi.org/10.1175/1520-0450(1995)034<0994:AINAFS>2.0.CO;2, 1995.
Walko, R. L., Band, L. E., Baron, J., Kittel, T. G. F., Lammers, R., Lee, T. J.,
Ojima, D., Pielke, R. A., Taylor, C., Tague, C., Tremback, C. J., and Vidale,
P. L.: Coupled Atmosphere–Biophysics–Hydrology Models for Environmental
Modeling, J. Appl. Meteor., 39, 931–944, https://doi.org/10.1175/1520-0450(2000)039<0931:CABHMF>2.0.CO;2, 2000.
Watts, N., Amann, M., Arnell, N., Ayeb-Karlsson, S., Belesova, K., Boykoff,
M., Byass, P., Cai, W., Campbell-Lendrum, D., Capstick, S., Chambers, J.,
Dalin, C., Daly, M., Dasandi, N., Davies, M., Drummond, P., Dubrow, R., Ebi,
K. L., Eckelman, M., Ekins, P., Escobar, L. E., Fernandez, Montoya, L.,
Georgeson, L., Graham, H., Haggar, P., Hamilton, I., Hartinger, S., Hess,
J., Kelman, I., Kiesewetter, G., Kjellstrom, T., Kniveton, D., Lemke, B.,
Liu, Y., Lott, M., Lowe, R., Sewe, M. O., Martinez-Urtaza, J., Maslin, M.,
McAllister, L., McGushin, A., Jankin, Mikhaylov, S., Milner, J.,
Moradi-Lakeh, M., Morrissey, K., Murray, K., Munzert, S., Nilsson, M.,
Neville, T., Oreszczyn, T., Owfi, F., Pearman, O., Pencheon, D., Phung, D.,
Pye, S., Quinn, R., Rabbaniha, M., Robinson, E., Rocklöv, J., Semenza,
J. C., Sherman, J., Shumake-Guillemot, J., Tabatabaei, M., Taylor, J.,
Trinanes, J., Wilkinson, P., Costello, A., Gong, P., and Montgomery, H.: The
2019 report of the Lancet Countdown on health and climate change: ensuring
that the health of a child born today is not defined by a changing climate,
Lancet, 394, 1836–1878,
https://doi.org/10.1016/S0140-6736(19)32596-6, 2019.
WHO (World Health Organization): Healthy environments for healthier
populations: Why do they matter, and what can we do?, WHO/CED/PHE/DO/19.01, World Health Organization, Geneva, Switzerland, available at:
https://www.who.int/publications/i/item/WHO-CED-PHE-DO-19.01 (last access: 14 July 2021),
2019.
Wilson, R. C., Fleming, Z. L., Monks, P. S., Clain, G., Henne, S., Konovalov, I. B., Szopa, S., and Menut, L.: Have primary emission reduction measures reduced ozone across Europe? An analysis of European rural background ozone trends 1996–2005, Atmos. Chem. Phys., 12, 437–454, https://doi.org/10.5194/acp-12-437-2012, 2012.
Yan, Y., Pozzer, A., Ojha, N., Lin, J., and Lelieveld, J.: Analysis of European ozone trends in the period 1995–2014, Atmos. Chem. Phys., 18, 5589–5605, https://doi.org/10.5194/acp-18-5589-2018, 2018.
Zhai, S., Jacob, D. J., Wang, X., Shen, L., Li, K., Zhang, Y., Gui, K., Zhao, T., and Liao, H.: Fine particulate matter (PM2.5) trends in China, 2013–2018: separating contributions from anthropogenic emissions and meteorology, Atmos. Chem. Phys., 19, 11031–11041, https://doi.org/10.5194/acp-19-11031-2019, 2019.
Zhang, K. M., Knipping, E. M., Wexler, A. S., Bhave, P. V., and Tonnesen, G. S.: Size distribution of sea-salt emissions as a function of relative humidity, Atmos. Environ., 39, 3373–3379,
https://doi.org/10.1016/j.atmosenv.2005.02.032, 2005.
Short summary
We present an analysis of modelled trends of PM10, NO2, and O3 airborne concentrations over the Italian territory in 2003–2010. Our analysis shows a general downward simulated trend for all pollutants, with good agreement between observed and modelled values and the model widening both coverage and significance of air concentration trends. Due to the complex atmospheric dynamics, emission reductions do not always result in decreasing concentrations, especially for secondary pollutants.
We present an analysis of modelled trends of PM10, NO2, and O3 airborne concentrations over the...
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