Articles | Volume 22, issue 2
https://doi.org/10.5194/acp-22-1311-2022
© Author(s) 2022. 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-22-1311-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
26 Jan 2022
Research article |
| 26 Jan 2022
| 26 Jan 2022
Modelling changes in secondary inorganic aerosol formation and nitrogen deposition in Europe from 2005 to 2030
Jan Eiof Jonson
CORRESPONDING AUTHOR
Norwegian Meteorological Institute, Oslo, Norway
Hilde Fagerli
Norwegian Meteorological Institute, Oslo, Norway
Thomas Scheuschner
Umweltbundesamt, Dessau-Roßlau, Germany
Svetlana Tsyro
Norwegian Meteorological Institute, Oslo, Norway
Related authors
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Augustin Colette, Gaëlle Collin, François Besson, Etienne Blot, Vincent Guidard, Frédérik Meleux, Adrien Royer, Valentin Petiot, Claire Miller, Oihana Fermond, Alizé Jeant, Mario Adani, Joaquim Arteta, Anna Benedictow, Robert Bergström, Dene Bowdalo, Jorgen Brandt, Gino Briganti, Ana C. Carvalho, Jesper Heile Christensen, Florian Couvidat, Ilaria D'Elia, Massimo D'Isidoro, Hugo Denier van der Gon, Gaël Descombes, Enza Di Tomaso, John Douros, Jeronimo Escribano, Henk Eskes, Hilde Fagerli, Yalda Fatahi, Johannes Flemming, Elmar Friese, Lise Frohn, Michael Gauss, Camilla Geels, Guido Guarnieri, Marc Guevara, Antoine Guion, Jonathan Guth, Risto Hänninen, Kaj Hansen, Ulas Im, Ruud Janssen, Marine Jeoffrion, Mathieu Joly, Luke Jones, Oriol Jorba, Evgeni Kadantsev, Michael Kahnert, Jacek W. Kaminski, Rostislav Kouznetsov, Richard Kranenburg, Jeroen Kuenen, Anne Caroline Lange, Joachim Langner, Victor Lannuque, Francesca Macchia, Astrid Manders, Mihaela Mircea, Agnes Nyiri, Miriam Olid, Carlos Pérez García-Pando, Yuliia Palamarchuk, Antonio Piersanti, Blandine Raux, Miha Razinger, Lennard Robertson, Arjo Segers, Martijn Schaap, Pilvi Siljamo, David Simpson, Mikhail Sofiev, Anders Stangel, Joanna Struzewska, Carles Tena, Renske Timmermans, Thanos Tsikerdekis, Svetlana Tsyro, Svyatoslav Tyuryakov, Anthony Ung, Andreas Uppstu, Alvaro Valdebenito, Peter van Velthoven, Lina Vitali, Zhuyun Ye, Vincent-Henri Peuch, and Laurence Rouïl
Geosci. Model Dev., 18, 6835–6883, https://doi.org/10.5194/gmd-18-6835-2025, https://doi.org/10.5194/gmd-18-6835-2025, 2025
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The Copernicus Atmosphere Monitoring Service – Regional Production delivers daily forecasts, analyses, and reanalyses of air quality in Europe. The service relies on a distributed modelling production by 11 leading European modelling teams following stringent requirements with an operational design that has no equivalent in the world. All the products are free, open, and quality-assured and disseminated with a high level of reliability.
Mingxuan Wu, Hailong Wang, Zheng Lu, Xiaohong Liu, Huisheng Bian, David D. Cohen, Yan Feng, Mian Chin, Didier A. Hauglustaine, Vlassis A. Karydis, Marianne T. Lund, Gunnar Myhre, Andrea Pozzer, Michael Schulz, Ragnhild B. Skeie, Alexandra P. Tsimpidi, Svetlana G. Tsyro, and Shaocheng Xie
Atmos. Chem. Phys., 25, 10049–10074, https://doi.org/10.5194/acp-25-10049-2025, https://doi.org/10.5194/acp-25-10049-2025, 2025
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A key challenge in simulating the life cycle of nitrate aerosol in global models is accurately representing the mass size distribution of nitrate aerosol, which lacks sufficient observational constraints. We found that most global models underestimate the mass fraction of fine-mode nitrate at the surface in all regions. Our study highlights the importance of gas–aerosol partitioning parameterization and the simulation of dust and sea salt in correctly simulating the mass size distribution of nitrate.
Emmanouil Proestakis, Vassilis Amiridis, Carlos Pérez García-Pando, Svetlana Tsyro, Jan Griesfeller, Antonis Gkikas, Thanasis Georgiou, María Gonçalves Ageitos, Jeronimo Escribano, Stelios Myriokefalitakis, Elisa Bergas Masso, Enza Di Tomaso, Sara Basart, Jan-Berend W. Stuut, and Angela Benedetti
Earth Syst. Sci. Data, 17, 4351–4395, https://doi.org/10.5194/essd-17-4351-2025, https://doi.org/10.5194/essd-17-4351-2025, 2025
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Quantification of dust deposition into the broader Atlantic Ocean is provided, with the estimates established based on Earth observations. The dataset is considered unique with respect to a range of applications, including compensating for spatiotemporal gaps of sediment-trap measurements, assessments of model simulations, shedding light on physical processes related to the dust cycle, and improving the understanding of dust biogeochemical impacts on oceanic ecosystems, weather, and climate.
Marc Guevara, Augustin Colette, Antoine Guion, Valentin Petiot, Mario Adani, Joaquim Arteta, Anna Benedictow, Robert Bergström, Andrea Bolignano, Paula Camps, Ana C. Carvalho, Jesper Heile Christensen, Florian Couvidat, Ilia D’Elia, Hugo Denier van der Gon, Gaël Descombes, John Douros, Hilde Fagerli, Yalda Fatahi, Elmar Friese, Lise Frohn, Michael Gauss, Camilla Geels, Risto Hänninen, Kaj Hansen, Oriol Jorba, Jacek W. Kaminski, Rostislav Kouznetsov, Richard Kranenburg, Jeroen Kuenen, Victor Lannuque, Frédérik Meleux, Agnes Nyíri, Yuliia Palamarchuk, Carlos Pérez García-Pando, Lennard Robertson, Felicita Russo, Arjo Segers, Mikhail Sofiev, Joanna Struzewska, Renske Timmermans, Andreas Uppstu, Alvaro Valdebenito, and Zhuyun Ye
EGUsphere, https://doi.org/10.5194/egusphere-2025-1287, https://doi.org/10.5194/egusphere-2025-1287, 2025
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Air quality models require hourly emissions to accurately represent dispersion and physico-chemical processes in the atmosphere. Since emission inventories are typically provided at the annual level, emissions are downscaled to a refined temporal resolution using temporal profiles. This study quantifies the impact of using new anthropogenic temporal profiles on the performance of an European air quality multi-model ensemble. Overall, the findings indicate an improvement of the modelling results.
Paul A. Makar, Philip Cheung, Christian Hogrefe, Ayodeji Akingunola, Ummugulsum Alyuz, Jesse O. Bash, Michael D. Bell, Roberto Bellasio, Roberto Bianconi, Tim Butler, Hazel Cathcart, Olivia E. Clifton, Alma Hodzic, Ioannis Kioutsioukis, Richard Kranenburg, Aurelia Lupascu, Jason A. Lynch, Kester Momoh, Juan L. Perez-Camanyo, Jonathan Pleim, Young-Hee Ryu, Roberto San Jose, Donna Schwede, Thomas Scheuschner, Mark W. Shephard, Ranjeet S. Sokhi, and Stefano Galmarini
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 large range of sulfur and nitrogen deposition estimates from air quality models results in a large range of predicted impacts. We used models and deposition diagnostics to identify the processes controlling atmospheric sulfur and nitrogen deposition variability. Controlling factors included the uptake of gases and aerosols by hydrometeors, aerosol inorganic chemistry, particle dry deposition, ammonia bidirectional fluxes, gas deposition via plant cuticles and soil, and land use data.
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.
Victoria A. Flood, Kimberly Strong, Cynthia H. Whaley, Kaley A. Walker, Thomas Blumenstock, James W. Hannigan, Johan Mellqvist, Justus Notholt, Mathias Palm, Amelie N. Röhling, Stephen Arnold, Stephen Beagley, Rong-You Chien, Jesper Christensen, Makoto Deushi, Srdjan Dobricic, Xinyi Dong, Joshua S. Fu, Michael Gauss, Wanmin Gong, Joakim Langner, Kathy S. Law, Louis Marelle, Tatsuo Onishi, Naga Oshima, David A. Plummer, Luca Pozzoli, Jean-Christophe Raut, Manu A. Thomas, Svetlana Tsyro, and Steven Turnock
Atmos. Chem. Phys., 24, 1079–1118, https://doi.org/10.5194/acp-24-1079-2024, https://doi.org/10.5194/acp-24-1079-2024, 2024
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It is important to understand the composition of the Arctic atmosphere and how it is changing. Atmospheric models provide simulations that can inform policy. This study examines simulations of CH4, CO, and O3 by 11 models. Model performance is assessed by comparing results matched in space and time to measurements from five high-latitude ground-based infrared spectrometers. This work finds that models generally underpredict the concentrations of these gases in the Arctic troposphere.
Cynthia H. Whaley, Kathy S. Law, Jens Liengaard Hjorth, Henrik Skov, Stephen R. Arnold, Joakim Langner, Jakob Boyd Pernov, Garance Bergeron, Ilann Bourgeois, Jesper H. Christensen, Rong-You Chien, Makoto Deushi, Xinyi Dong, Peter Effertz, Gregory Faluvegi, Mark Flanner, Joshua S. Fu, Michael Gauss, Greg Huey, Ulas Im, Rigel Kivi, Louis Marelle, Tatsuo Onishi, Naga Oshima, Irina Petropavlovskikh, Jeff Peischl, David A. Plummer, Luca Pozzoli, Jean-Christophe Raut, Tom Ryerson, Ragnhild Skeie, Sverre Solberg, Manu A. Thomas, Chelsea Thompson, Kostas Tsigaridis, Svetlana Tsyro, Steven T. Turnock, Knut von Salzen, and David W. Tarasick
Atmos. Chem. Phys., 23, 637–661, https://doi.org/10.5194/acp-23-637-2023, https://doi.org/10.5194/acp-23-637-2023, 2023
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This study summarizes recent research on ozone in the Arctic, a sensitive and rapidly warming region. We find that the seasonal cycles of near-surface atmospheric ozone are variable depending on whether they are near the coast, inland, or at high altitude. Several global model simulations were evaluated, and we found that because models lack some of the ozone chemistry that is important for the coastal Arctic locations, they do not accurately simulate ozone there.
Qirui Zhong, Nick Schutgens, Guido van der Werf, Twan van Noije, Kostas Tsigaridis, Susanne E. Bauer, Tero Mielonen, Alf Kirkevåg, Øyvind Seland, Harri Kokkola, Ramiro Checa-Garcia, David Neubauer, Zak Kipling, Hitoshi Matsui, Paul Ginoux, Toshihiko Takemura, Philippe Le Sager, Samuel Rémy, Huisheng Bian, Mian Chin, Kai Zhang, Jialei Zhu, Svetlana G. Tsyro, Gabriele Curci, Anna Protonotariou, Ben Johnson, Joyce E. Penner, Nicolas Bellouin, Ragnhild B. Skeie, and Gunnar Myhre
Atmos. Chem. Phys., 22, 11009–11032, https://doi.org/10.5194/acp-22-11009-2022, https://doi.org/10.5194/acp-22-11009-2022, 2022
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Aerosol optical depth (AOD) errors for biomass burning aerosol (BBA) are evaluated in 18 global models against satellite datasets. Notwithstanding biases in satellite products, they allow model evaluations. We observe large and diverse model biases due to errors in BBA. Further interpretations of AOD diversities suggest large biases exist in key processes for BBA which require better constraining. These results can contribute to further model improvement and development.
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.
Cynthia H. Whaley, Rashed Mahmood, Knut von Salzen, Barbara Winter, Sabine Eckhardt, Stephen Arnold, Stephen Beagley, Silvia Becagli, Rong-You Chien, Jesper Christensen, Sujay Manish Damani, Xinyi Dong, Konstantinos Eleftheriadis, Nikolaos Evangeliou, Gregory Faluvegi, Mark Flanner, Joshua S. Fu, Michael Gauss, Fabio Giardi, Wanmin Gong, Jens Liengaard Hjorth, Lin Huang, Ulas Im, Yugo Kanaya, Srinath Krishnan, Zbigniew Klimont, Thomas Kühn, Joakim Langner, Kathy S. Law, Louis Marelle, Andreas Massling, Dirk Olivié, Tatsuo Onishi, Naga Oshima, Yiran Peng, David A. Plummer, Olga Popovicheva, Luca Pozzoli, Jean-Christophe Raut, Maria Sand, Laura N. Saunders, Julia Schmale, Sangeeta Sharma, Ragnhild Bieltvedt Skeie, Henrik Skov, Fumikazu Taketani, Manu A. Thomas, Rita Traversi, Kostas Tsigaridis, Svetlana Tsyro, Steven Turnock, Vito Vitale, Kaley A. Walker, Minqi Wang, Duncan Watson-Parris, and Tahya Weiss-Gibbons
Atmos. Chem. Phys., 22, 5775–5828, https://doi.org/10.5194/acp-22-5775-2022, https://doi.org/10.5194/acp-22-5775-2022, 2022
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Air pollutants, like ozone and soot, play a role in both global warming and air quality. Atmospheric models are often used to provide information to policy makers about current and future conditions under different emissions scenarios. In order to have confidence in those simulations, in this study we compare simulated air pollution from 18 state-of-the-art atmospheric models to measured air pollution in order to assess how well the models perform.
Qing Mu, Bruce Rolstad Denby, Eivind Grøtting Wærsted, and Hilde Fagerli
Geosci. Model Dev., 15, 449–465, https://doi.org/10.5194/gmd-15-449-2022, https://doi.org/10.5194/gmd-15-449-2022, 2022
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Our study has achieved air quality modelling down to 100 m for all of Europe. This solves the current problem that street-level air quality modelling is usually limited to individual cities. With publicly available downscaling proxy data, even regions without their own high-resolution proxy data can obtain air quality maps at 100 m. The work is of significance for air quality mitigation strategies and human health exposure studies.
Maria Sand, Bjørn H. Samset, Gunnar Myhre, Jonas Gliß, Susanne E. Bauer, Huisheng Bian, Mian Chin, Ramiro Checa-Garcia, Paul Ginoux, Zak Kipling, Alf Kirkevåg, Harri Kokkola, Philippe Le Sager, Marianne T. Lund, Hitoshi Matsui, Twan van Noije, Dirk J. L. Olivié, Samuel Remy, Michael Schulz, Philip Stier, Camilla W. Stjern, Toshihiko Takemura, Kostas Tsigaridis, Svetlana G. Tsyro, and Duncan Watson-Parris
Atmos. Chem. Phys., 21, 15929–15947, https://doi.org/10.5194/acp-21-15929-2021, https://doi.org/10.5194/acp-21-15929-2021, 2021
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Absorption of shortwave radiation by aerosols can modify precipitation and clouds but is poorly constrained in models. A total of 15 different aerosol models from AeroCom phase III have reported total aerosol absorption, and for the first time, 11 of these models have reported in a consistent experiment the contributions to absorption from black carbon, dust, and organic aerosol. Here, we document the model diversity in aerosol absorption.
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
Atmos. Chem. Phys., 21, 7373–7394, https://doi.org/10.5194/acp-21-7373-2021, https://doi.org/10.5194/acp-21-7373-2021, 2021
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This study provides a comprehensive assessment of air quality changes across the main European urban areas induced by the COVID-19 lockdown using satellite observations, surface site measurements, and the forecasting system from the Copernicus Atmospheric Monitoring Service (CAMS). We demonstrate the importance of accounting for weather and seasonal variability when calculating such estimates.
Jonas Gliß, Augustin Mortier, Michael Schulz, Elisabeth Andrews, Yves Balkanski, Susanne E. Bauer, Anna M. K. Benedictow, Huisheng Bian, Ramiro Checa-Garcia, Mian Chin, Paul Ginoux, Jan J. Griesfeller, Andreas Heckel, Zak Kipling, Alf Kirkevåg, Harri Kokkola, Paolo Laj, Philippe Le Sager, Marianne Tronstad Lund, Cathrine Lund Myhre, Hitoshi Matsui, Gunnar Myhre, David Neubauer, Twan van Noije, Peter North, Dirk J. L. Olivié, Samuel Rémy, Larisa Sogacheva, Toshihiko Takemura, Kostas Tsigaridis, and Svetlana G. Tsyro
Atmos. Chem. Phys., 21, 87–128, https://doi.org/10.5194/acp-21-87-2021, https://doi.org/10.5194/acp-21-87-2021, 2021
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Simulated aerosol optical properties as well as the aerosol life cycle are investigated for 14 global models participating in the AeroCom initiative. Considerable diversity is found in the simulated aerosol species emissions and lifetimes, also resulting in a large diversity in the simulated aerosol mass, composition, and optical properties. A comparison with observations suggests that, on average, current models underestimate the direct effect of aerosol on the atmosphere radiation budget.
Bruce Rolstad Denby, Michael Gauss, Peter Wind, Qing Mu, Eivind Grøtting Wærsted, Hilde Fagerli, Alvaro Valdebenito, and Heiko Klein
Geosci. Model Dev., 13, 6303–6323, https://doi.org/10.5194/gmd-13-6303-2020, https://doi.org/10.5194/gmd-13-6303-2020, 2020
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Air pollution is both a local and a global problem. Since measurements cannot be made everywhere, mathematical models are used to calculate air quality over cities or countries. Modelling over countries limits the level of detail of the models. For countries, the level of detail is only a few kilometres, so air quality at kerb sides is not properly represented. The uEMEP model is used together with the regional air quality model EMEP MSC-W to model details down to kerb side for all of Norway.
Cited articles
Aksoyoglu, S., Jiang, J., Ciarelli, G., Baltensperger, U., and Prévôt, A. S. H.: Role of ammonia in European air quality with changing land and ship emissions between 1990 and 2030, Atmos. Chem. Phys., 20, 15665–15680, https://doi.org/10.5194/acp-20-15665-2020, 2020. a, b
Backes, A. M., Aulinger, A., Bieser, J., Matthias, V., and Quante, M.: Ammonia
emissions in Europe, part II: How ammonia emission abatement strategies
affect secondary aerosols, Atmos. Environ., 126, 153–161,
https://doi.org/10.1016/j.atmosenv.2015.11.039, 2016. a
Binkowski, F. and Shankar, U.: The Regional Particulate Matter Model .1. Model
description and preliminary results, J. Geophys. Res., 100, 26191–26209,
1995. a
CLRTAP: Chapter V of Manual on methodologies and criteria for modelling and
mapping critical loads and levels and air pollution effects, risks and
trends., Tech. rep., UNECE Convention on Long-range Transboundary Air
Pollution,
available at: https://www.umweltbundesamt.de/en/manual-for-modelling-mapping-critical-loads-levels
(last access: 14 December 2021), 2017. a, b
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. a
Colette, A., Granier, C., Hodnebrog, Ø., Jakobs, H., Maurizi, A., Nyiri, A., Rao, S., Amann, M., Bessagnet, B., D'Angiola, A., Gauss, M., Heyes, C., Klimont, Z., Meleux, F., Memmesheimer, M., Mieville, A., Rouïl, L., Russo, F., Schucht, S., Simpson, D., Stordal, F., Tampieri, F., and Vrac, M.: Future air quality in Europe: a multi-model assessment of projected exposure to ozone, Atmos. Chem. Phys., 12, 10613–10630, https://doi.org/10.5194/acp-12-10613-2012, 2012. a
Damme, M. V., Clarisse, L., Franco, B., Sutton, M. A., Erisman, J. W., Kruit,
R. W., van Zanten, M., Whitburn, S., Hadji-Lazaro, J., Hurtmans, D.,
Clerbaux, C., and Coheur, P.-F.: Global, regional and national trends of
atmospheric ammonia derived from a decadal (2008–2018) satellite record,
Environ. Res. Lett., 16, 055017,
https://doi.org/10.1088/1748-9326/abd5e0,
2020. a
Davuliene, L., Jasineviciene, D., Garbariene, I., Andriejauskiene, J.,
Ulevicius, V., and Bycenkiene, S.: Long-term air pollution trend analysis in
the South-eastern Baltic region, 1981–2017, Atmos. Res., 247,
105191, https://doi.org/10.1016/j.atmosres.2020.105191, 2021. a
De Vries, W., Hettelingh, J.-P., and Posch, M. (Eds.): Critical Loads and
Dynamic Risk Assessments: Nitrogen, Acidity and Metals in Terrestrial and
Aquatic Ecosystems, Springer, Dordrecht,, https://doi.org/10.1007/978-94-017-9508-1,
2015. a
EEA: Effects of air pollution on European ecosystems, Tech. Rep. EEA 11/2014, European Environment Agency,
Copenhagen, Denmark, https://doi.org/10.2800/18365, 2014. a, b
EMEP MSC-W: metno/emep-ctm: OpenSource rv4.34 (202001) (rv4_34), Zenodo [code], https://doi.org/10.5281/zenodo.3647990, 2020. a
EMEP Status Report 1/2019: Transboundary particulate matter, photo-oxidants,
acidifying and eutrophying components, EMEP MSC-W & CCC & CEIP,
available at: https://emep.int/publ/reports/2019/EMEP_Status_Report_1_2019.pdf
(last access: 14 December 2021), 2019. a
Erisman, J., Bleeker, A., Galloway, J., and Sutton, M.: Reduced nitrogen in
ecology and the environment, Environ. Pollut., 150, 140–149,
https://doi.org/10.1016/j.envpol.2007.06.033, 2007. a
Esteban, R., Ariz, I., Cruz, C., and Moran, J. F.: Review: Mechanisms of
ammonium toxicity and the quest for tolerance, Plant Sci., 248, 92–101,
https://doi.org/10.1016/j.plantsci.2016.04.008, 2016. a
Gauss, M., Tsyro, S., Fagerli, H., Hjellbrekke, A.-G., Aas, W., and Solberg,
S.: EMEP MSC-W model performance for acidifying and eutrophying components,
photo-oxidants and particulate matter in 2015, Supplementary material to
EMEP Status Report 1/2017, available at: http://www.emep.int (last
access: 14 December 2021), The Norwegian Meteorological Institute, Oslo,
Norway, 2017. a
Gauss, M., Tsyro, S., Fagerli, H., Hjellbrekke, A.-G., Aas, W., and Solberg,
S.: EMEP MSC-W model performance for acidifying and eutrophying components,
photo-oxidants and particulate matter in 2016., Supplementary material to
EMEP Status Report 1/2018, available at: http://www.emep.int (last
access: 14 December 2021), The Norwegian Meteorological Institute, Oslo,
Norway, 2018. a
Gauss, M., Tsyro, S., Benedictow, A., Fagerli, H., Hjellbrekke, A.-G., Aas, W.,
and Solberg, S.: EMEP MSC-W model performance for acidifying and eutrophying
components, photo-oxidants and particulate matter in 2017., Supplementary
material to EMEP Status Report 1/2019, available at:
http://www.emep.int (last access: 14 December 2021), The Norwegian
Meteorological Institute, Oslo, Norway, 2019. a, b, c
Gauss, M., Tsyro, S., Benedictow, A., Hjellbrekke, A.-G., Aas, W., and Solberg,
S.: EMEP MSC-W model performance for acidifying and eutrophying components,
photo-oxidants and particulate matter in 2018., Supplementary material to
EMEP Status Report 1/2020, available at: http://www.emep.int (last
access: 14 December 2021), The Norwegian Meteorological Institute, Oslo,
Norway, 2020. a
Ge, Y., Heal, M. R., Stevenson, D. S., Wind, P., and Vieno, M.: Evaluation of global EMEP MSC-W (rv4.34) WRF (v3.9.1.1) model surface concentrations and wet deposition of reactive N and S with measurements, Geosci. Model Dev., 14, 7021–7046, https://doi.org/10.5194/gmd-14-7021-2021, 2021. a
Giannakis, E., Kushta, J., Bruggeman, A., and Llieveld, J.: Costs andf benefits
of agriculural ammonia emission abatement options for complience with
European air quality regulations, Environ. Sci. Europe, 31, 1–13,
https://doi.org/10.1186/s12302-019-0275-0, 2019. a, b
Hettelingh, J.-P., Posch, M., and de Smet, P. E.: Multi-effect critical loads
used in multi-pollutant reduction agreements in Europe, Water Air Soil
Pollut., 130, 1133–1138, 2001. a
Hettelingh, J.-P., Posch, M., and Slootweg, J.: European critical loads:
database, biodiversity and ecosystems at risk, CCE Final Report 2017, RIVM Report
2017-0155,
https://doi.org/10.21945/RIVM-2017-0155, 2017. a, b
Höglund-Isaksson, L., Gómez-Sanabria, A., Klimont, Z., Rafaj, P., and
Schöpp, W.: Technical potentials and costs for reducing global anthropogenic
methane emissions in the 2050 timeframe – results from the GAINS
model, Environ. Res. Commun., 2, 025004,
https://doi.org/10.1088/2515-7620/ab7457, 2020. a
IIASA: Progress towards the achievement of the EU's air quality and emissions
objectives, Tech. rep., IIASA (International Institute for Applied Systems
Analysis),
available at: https://ec.europa.eu/environment/air/pdf/clean_air_outlook_overview_report.pdf
(last access: 14 December 2021), 2018. a, b
IIASA: Assessment Report on Ammonia 2020. Draft April 2020, Tech. rep., IIASA
(International Institute for Applied Systems Analysis),
available at: https://iiasa.ac.at/web/home/research/researchPrograms/air/policy/Assessment_Report_on_Ammonia_20200410.pdf
(last access: 14 December 2021), 2020. a, b, c
Jiang, J., Aksoyoglu, S., Ciarelli, G., Baltensperger, U., and Prévôt, A. S.:
Changes in ozone and PM2.5 in Europe during the period of 1990–2030: Role
of reductions in land and ship emissions, Sci. Total Environ.,
741, 140467, https://doi.org/10.1016/j.scitotenv.2020.140467, 2020. a
Jonson, J. E., Schulz, M., Emmons, L., Flemming, J., Henze, D., Sudo, K., Tronstad Lund, M., Lin, M., Benedictow, A., Koffi, B., Dentener, F., Keating, T., Kivi, R., and Davila, Y.: The effects of intercontinental emission sources on European air pollution levels, Atmos. Chem. Phys., 18, 13655–13672, https://doi.org/10.5194/acp-18-13655-2018, 2018. a
Karl, M., Jonson, J. E., Uppstu, A., Aulinger, A., Prank, M., Sofiev, M., Jalkanen, J.-P., Johansson, L., Quante, M., and Matthias, V.: Effects of ship emissions on air quality in the Baltic Sea region simulated with three different chemistry transport models, Atmos. Chem. Phys., 19, 7019–7053, https://doi.org/10.5194/acp-19-7019-2019, 2019. a
Metzger, S., Steil, B., Abdelkader, M., Klingmüller, K., Xu, L., Penner, J. E., Fountoukis, C., Nenes, A., and Lelieveld, J.: Aerosol water parameterisation: a single parameter framework, Atmos. Chem. Phys., 16, 7213–7237, https://doi.org/10.5194/acp-16-7213-2016, 2016. a
Metzger, S., Abdelkader, M., Steil, B., and Klingmüller, K.: Aerosol water parameterization: long-term evaluation and importance for climate studies, Atmos. Chem. Phys., 18, 16747–16774, https://doi.org/10.5194/acp-18-16747-2018, 2018. a
Nenes, A., Pandis, S. N., Weber, R. J., and Russell, A.: Aerosol pH and liquid water content determine when particulate matter is sensitive to ammonia and nitrate availability, Atmos. Chem. Phys., 20, 3249–3258, https://doi.org/10.5194/acp-20-3249-2020, 2020. a
Nenes, A., Pandis, S. N., Kanakidou, M., Russell, A. G., Song, S., Vasilakos, P., and Weber, R. J.: Aerosol acidity and liquid water content regulate the dry deposition of inorganic reactive nitrogen, Atmos. Chem. Phys., 21, 6023–6033, https://doi.org/10.5194/acp-21-6023-2021, 2021. a, b, c
Nilsson, J. and Grennfelt, P. (Eds.): Critical Loads for Sulphur and Nitrogen,
Nordic Council of Ministers, Copenhagen, Denmark, Nord 1988, 97, 418 pp.,
1988. a
Petit, J.-E., Amodeo, T., Meleux, F., Bessagnet, B., Menut, L., Grenier, D.,
Pellan, Y., Ockler, A., Rocq, B., Gros, V., Sciare, J., and Favez, O.:
Characterising an intense PM pollution episode in March 2015 in France from
multi-site approach and near real time data: Climatology, variabilities,
geographical origins and model evaluation, Atmos. Environ., 155, 68–84, https://doi.org/10.1016/j.atmosenv.2017.02.012, 2017. a
Posch, M., Hettelingh, J.-P., and De Smet, P.: Characterization of critical
load exceedances in Europe, Water Air Soil Pollut., 130, 1139–1144,
2001. a
Reis, S., Grennfelt, P., Klimont, Z., Amann, M., ApSimon, H., Hettelingh, J.,
Holland, M., Le Gall, A., Maas, R., Posch, M., Spranger, T., Sutton, M.,
and Williams, M.: From acid rain to climate change, Science, 338,
1.153–1.154, https://doi.org/10.1126/science.1226514, 2012. a
Seinfeld, J. and Pandis, S.: Atmospheric Chemistry and Physics: From Air Pollution to Climate Change, 3rd edn., John Wiley & Sons, Inc, ISBN 978-1-118-94740-1, 2016. a
Simpson, D., Benedictow, A., Berge, H., Bergström, R., Emberson, L. D., Fagerli, H., Flechard, C. R., Hayman, G. D., Gauss, M., Jonson, J. E., Jenkin, M. E., Nyíri, A., Richter, C., Semeena, V. S., Tsyro, S., Tuovinen, J.-P., Valdebenito, Á., and Wind, P.: The EMEP MSC-W chemical transport model – technical description, Atmos. Chem. Phys., 12, 7825–7865, https://doi.org/10.5194/acp-12-7825-2012, 2012. a, b
Simpson, D., Bergström, Tsyro, S., and Wind, P.: Updates to the EMEP MSC-W
model, 2019–2020, in: Transboundary particulate matter, photo-oxidants,
acidifying and eutrophying components. EMEP Status Report 1/2020, pp.
155–165, The Norwegian Meteorological Institute, Oslo, Norway,
available at: https://emep.int/publ/reports/2020/EMEP_Status_Report_1_2020.pdf
(last access: 14 December 2021), 2020. a
Slootweg, J., Posch, M., and Hettelingh , J. (Eds.): Modelling and mapping
the impacts of atmospheric deposition of nitrogen and sulphur, Tech. rep.,
CCE Status Report 2015, RIVM Report 2015-0193, Coordination Centre for
Effects, Bilthoven, Netherlands, 182 pp., available at: https://www.umweltbundesamt.de/sites/default/files/medien/4038/dokumente/2_cce_sr2015.pdf (last access: 19 January 2022), 2015. a
Theobald, M. R., Vivanco, M. G., Aas, W., Andersson, C., Ciarelli, G., Couvidat, F., Cuvelier, K., Manders, A., Mircea, M., Pay, M.-T., Tsyro, S., Adani, M., Bergström, R., Bessagnet, B., Briganti, G., Cappelletti, A., D'Isidoro, M., Fagerli, H., Mar, K., Otero, N., Raffort, V., Roustan, Y., Schaap, M., Wind, P., and Colette, A.: An evaluation of European nitrogen and sulfur wet deposition and their trends estimated by six chemistry transport models for the period 1990–2010, Atmos. Chem. Phys., 19, 379–405, https://doi.org/10.5194/acp-19-379-2019, 2019. a, b
Tsyro, S. and Metzgert, S.: EQSAM4clim, in: Transboundary particulate matter,
photo-oxidants, acidifying and eutrophying components. EMEP Status Report
1/2019, pp. 133–141, The Norwegian Meteorological Institute, Oslo, Norway,
available at: https://emep.int/publ/reports/2019/EMEP_Status_Report_1_2019.pdf
(last access: 14 December 2021), 2019. a
Tsyro, S., Aas, W., Solberg, S., Benedictow, A., Fagerli, H., and Scheuschner,
T.: Status of transboundary air pollution in 2017, in: Transboundary
particulate matter, photo-oxidants, acidifying and eutrophying components.
EMEP Status Report 1/2019, 17–42, The Norwegian Meteorological
Institute, Oslo, Norway,
available at: https://emep.int/publ/reports/2019/EMEP_Status_Report_1_2019.pdf
(last access: 14 December 2021), 2019. a
Tsyro, S., Aas, W., Solberg, S., Benedictow, A., Fagerli, H., and Scheuschner,
T.: Status of transboundary air pollution in 2018, in: Transboundary
particulate matter, photo-oxidants, acidifying and eutrophying components.
EMEP Status Report 1/2020, 17–34, The Norwegian Meteorological
Institute, Oslo, Norway,
available at: https://emep.int/publ/reports/2020/EMEP_Status_Report_1_2020.pdf
(last access: 14 December 2021), 2020. a
van den Berg, L., Peters, C., Ashmore, M., and Roelofs, J.: Reduced nitrogen
has a greater effect than oxidised nitrogen on dry heathland vegetation,
Environ. Pollut., 154, 359–369,
https://doi.org/10.1016/j.envpol.2007.11.027, 2008.
a
Vieno, M., Heal, M. R., Twigg, M. M., MacKenzie, I. A., Braban, C. F., Lingard,
J. J. N., Ritchie, S., Beck, R. C., Móring, A., Ots, R., Marco, C.
F. D., Nemitz, E., Sutton, M. A., and Reis, S.: The UK particulate matter
air pollution episode of March–April 2014: more than Saharan
dust, Environ. Res. Lett., 11, 044004,
https://doi.org/10.1088/1748-9326/11/4/044004, 2016. a
Vivanco, M. G., Theobald, M. R., García-Gómez, H., Garrido, J. L., Prank, M., Aas, W., Adani, M., Alyuz, U., Andersson, C., Bellasio, R., Bessagnet, B., Bianconi, R., Bieser, J., Brandt, J., Briganti, G., Cappelletti, A., Curci, G., Christensen, J. H., Colette, A., Couvidat, F., Cuvelier, C., D'Isidoro, M., Flemming, J., Fraser, A., Geels, C., Hansen, K. M., Hogrefe, C., Im, U., Jorba, O., Kitwiroon, N., Manders, A., Mircea, M., Otero, N., Pay, M.-T., Pozzoli, L., Solazzo, E., Tsyro, S., Unal, A., Wind, P., and Galmarini, S.: Modeled deposition of nitrogen and sulfur in Europe estimated by 14 air quality model systems: evaluation, effects of changes in emissions and implications for habitat protection, Atmos. Chem. Phys., 18, 10199–10218, https://doi.org/10.5194/acp-18-10199-2018, 2018. a, b
WHO: Air quality guidelines. Global update 2005. Particulate matter, ozone,
nitrogen dioxide and sulfur dioxide,
available at: https://www.euro.who.int/__data/assets/pdf_file/0005/78638/E90038.pdf
(last access: 14 December 2021), 2005. a
Short summary
Ammonia emissions are expected to decrease less than SOx and NOx emissions between 2005 and 2030. As the formation of PM2.5 particles from ammonia depends on the ratio between ammonia on one hand and sulfate (from SOx) and HNO3 (from NOx) on the other hand, the efficiency of particle formation from ammonia is decreasing. Depositions of reduced nitrogen are decreasing much less than oxidized nitrogen. The critical loads for nitrogen deposition will also be exceeded in much of Europe in 2030.
Ammonia emissions are expected to decrease less than SOx and NOx emissions between 2005 and...
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