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.
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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Mario Adani, Guido Guarnieri, Lina Vitali, Luisella Ciancarella, Ilaria D'Elia, Mihaela Mircea, Maurizio Gualtieri, Andrea Cappelletti, Massimo D'Isidoro, Gino Briganti, Antonio Piersanti, Milena Stracquadanio, Gaia Righini, Felicita Russo, Giuseppe Cremona, Maria Gabriella Villani, and Gabriele Zanini
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2020-54, https://doi.org/10.5194/gmd-2020-54, 2020
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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.
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
Geosci. Model Dev., 16, 6029–6047, https://doi.org/10.5194/gmd-16-6029-2023, https://doi.org/10.5194/gmd-16-6029-2023, 2023
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Air quality forecasting models play a key role in fostering short-term measures aimed at reducing human exposure to air pollution. Together with this role comes the need for a thorough assessment of the model performances to build confidence in models’ capabilities, in particular when model applications support policymaking. In this paper, we propose an evaluation methodology and test it on several domains across Europe, highlighting its strengths and room for improvement.
V. Baiocchi, L. M. Falconi, L. Moretti, M. Pollino, C. Puglisi, G. Righini, and G. Vegliante
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W1-2023, 33–43, https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-33-2023, https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-33-2023, 2023
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.
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.
Mario Adani, Guido Guarnieri, Lina Vitali, Luisella Ciancarella, Ilaria D'Elia, Mihaela Mircea, Maurizio Gualtieri, Andrea Cappelletti, Massimo D'Isidoro, Gino Briganti, Antonio Piersanti, Milena Stracquadanio, Gaia Righini, Felicita Russo, Giuseppe Cremona, Maria Gabriella Villani, and Gabriele Zanini
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2020-54, https://doi.org/10.5194/gmd-2020-54, 2020
Publication in GMD not foreseen
Short summary
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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.
Giancarlo Ciarelli, Mark R. Theobald, Marta G. Vivanco, Matthias Beekmann, Wenche Aas, Camilla Andersson, Robert Bergström, Astrid Manders-Groot, Florian Couvidat, Mihaela Mircea, Svetlana Tsyro, Hilde Fagerli, Kathleen Mar, Valentin Raffort, Yelva Roustan, Maria-Teresa Pay, Martijn Schaap, Richard Kranenburg, Mario Adani, Gino Briganti, Andrea Cappelletti, Massimo D'Isidoro, Cornelis Cuvelier, Arineh Cholakian, Bertrand Bessagnet, Peter Wind, and Augustin Colette
Geosci. Model Dev., 12, 4923–4954, https://doi.org/10.5194/gmd-12-4923-2019, https://doi.org/10.5194/gmd-12-4923-2019, 2019
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The novel multi-model EURODELTA-Trends exercise provided 21 years of continuous PM components and their gas-phase precursor concentrations over Europe from the year 1990. The models’ capabilities to reproduce PM components and gas-phase PM precursor trends over the 1990–2010 period is the key focus of this study. The models were able to reproduce the observed trends relatively well, indicating a possible shift in the thermodynamic equilibrium between gas and particle phases.
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
Publication in GMD not foreseen
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This work presents the on-line coupled meteorology-chemistry transport model BOLCHEM. The paper describes the meteorological and chemical modules, and presents simulation results on the European domain for one year run. For all considered pollutants (O3, NO2, PM10, PM2.5) the model performances are close to those achieved by the current state-of-the-art model system dedicated to air quality study, e.g. Copernicus CAMS products.
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
Atmos. Chem. Phys., 18, 12269–12288, https://doi.org/10.5194/acp-18-12269-2018, https://doi.org/10.5194/acp-18-12269-2018, 2018
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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.
Related subject area
Subject: Gases | Research Activity: Atmospheric Modelling and Data Analysis | Altitude Range: Troposphere | Science Focus: Chemistry (chemical composition and reactions)
An improved estimate of inorganic iodine emissions from the ocean using a coupled surface microlayer box model
Impact of improved representation of volatile organic compound emissions and production of NOx reservoirs on modeled urban ozone production
The effect of different climate and air quality policies in China on in situ ozone production in Beijing
Enhancing long-term trend simulation of the global tropospheric hydroxyl (TOH) and its drivers from 2005 to 2019: a synergistic integration of model simulations and satellite observations
Intercomparison of GEOS-Chem and CAM-chem tropospheric oxidant chemistry within the Community Earth System Model version 2 (CESM2)
Development of a detailed gaseous oxidation scheme of naphthalene for secondary organic aerosol (SOA) formation and speciation
Large contributions of soil emissions to the atmospheric nitrogen budget and their impacts on air quality and temperature rise in North China
Why did ozone concentrations remain high during Shanghai's static management? A statistical and radical-chemistry perspective
Revising VOC emissions speciation improves the simulation of global background ethane and propane
Changes in South American surface ozone trends: exploring the influences of precursors and extreme events
Evaluating NOx stack plume emissions using a high-resolution atmospheric chemistry model and satellite-derived NO2 columns
NOx emissions in France in 2019–2021 as estimated by the high-spatial-resolution assimilation of TROPOMI NO2 observations
Aggravated surface O3 pollution primarily driven by meteorological variations in China during the 2020 COVID-19 pandemic lockdown period
Identifying decadal trends in deweathered concentrations of criteria air pollutants in Canadian urban atmospheres with machine learning approaches
Evaluation of modelled versus observed non-methane volatile organic compounds at European Monitoring and Evaluation Programme sites in Europe
Constraining non-methane VOC emissions with TROPOMI HCHO observations: impact on summertime ozone simulation in August 2022 in China
Revealing the significant acceleration of hydrofluorocarbon (HFC) emissions in eastern Asia through long-term atmospheric observations
Role of chemical production and depositional losses on formaldehyde in the Community Regional Atmospheric Chemistry Multiphase Mechanism (CRACMM)
Interpreting Geostationary Environment Monitoring Spectrometer (GEMS) geostationary satellite observations of the diurnal variation in nitrogen dioxide (NO2) over East Asia
Constraining Light Dependency in Modeled Emissions Through Comparison to Observed BVOC Concentrations in a Southeastern US Forest
An intercomparison of satellite, airborne, and ground-level observations with WRF–CAMx simulations of NO2 columns over Houston, Texas, during the September 2021 TRACER-AQ campaign
Impact of methane and other precursor emission reductions on surface ozone in Europe: Scenario analysis using the EMEP MSC-W model
Interannual variability of summertime formaldehyde (HCHO) vertical column density and its main drivers at northern high latitudes
The impact of multi-decadal changes in VOC speciation on urban ozone chemistry: a case study in Birmingham, United Kingdom
Technical note: Challenges in detecting free tropospheric ozone trends in a sparsely sampled environment
Combined assimilation of NOAA surface and MIPAS satellite observations to constrain the global budget of carbonyl sulfide
The impact of gaseous degradation on the gas–particle partitioning of methylated polycyclic aromatic hydrocarbons
Technical note: An assessment of the performance of statistical bias correction techniques for global chemistry–climate model surface ozone fields
A better representation of volatile organic compound chemistry in WRF-Chem and its impact on ozone over Los Angeles
High-resolution US methane emissions inferred from an inversion of 2019 TROPOMI satellite data: contributions from individual states, urban areas, and landfills
Summertime tropospheric ozone source apportionment study in the Madrid region (Spain)
CO anthropogenic emissions in Europe from 2011 to 2021: insights from Measurement of Pollution in the Troposphere (MOPITT) satellite data
Constraining long-term NOx emissions over the United States and Europe using nitrate wet deposition monitoring networks
An investigation into atmospheric nitrous acid (HONO) processes in South Korea
Analysis of an intense O3 pollution episode on the Atlantic coast of the Iberian Peninsula using photochemical modeling: characterization of transport pathways and accumulation processes
A global re-analysis of regionally resolved emissions and atmospheric mole fractions of SF6 for the period 2005–2021
Atmospheric oxygen as a tracer for fossil fuel carbon dioxide: a sensitivity study in the UK
MIXv2: a long-term mosaic emission inventory for Asia (2010–2017)
Ether and ester formation from peroxy radical recombination: A qualitative reaction channel analysis
Process Analysis of Elevated Concentrations of Organic Acids at Whiteface Mountain, New York
Organosulfate produced from consumption of SO3 speeds up sulfuric acid–dimethylamine atmospheric nucleation
Tropospheric Ozone Precursors: Global and Regional Distributions, Trends and Variability
Contribution of expanded marine sulfur chemistry to the seasonal variability of dimethyl sulfide oxidation products and size-resolved sulfate aerosol
Verifying national inventory-based combustion emissions of CO2 across the UK and mainland Europe using satellite observations of atmospheric CO and CO2
Spatial disparities of ozone pollution in the Sichuan Basin spurred by extreme, hot weather
Global impacts of aviation on air quality evaluated at high resolution
Bias correction of OMI HCHO columns based on FTIR and aircraft measurements and impact on top-down emission estimates
Investigation of the renewed methane growth post-2007 with high-resolution 3-D variational inverse modeling and isotopic constraints
Revisiting day-of-week ozone patterns in an era of evolving US air quality
The contribution of transport emissions to ozone mixing ratios and methane lifetime in 2015 and 2050 in the Shared Socioeconomic Pathways (SSPs)
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.
Katherine R. Travis, Benjamin A. Nault, James H. Crawford, Kelvin H. Bates, Donald R. Blake, Ronald C. Cohen, Alan Fried, Samuel R. Hall, L. Gregory Huey, Young Ro Lee, Simone Meinardi, Kyung-Eun Min, Isobel J. Simpson, and Kirk Ullman
Atmos. Chem. Phys., 24, 9555–9572, https://doi.org/10.5194/acp-24-9555-2024, https://doi.org/10.5194/acp-24-9555-2024, 2024
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Human activities result in the emission of volatile organic compounds (VOCs) that contribute to air pollution. Detailed VOC measurements were taken during a field study in South Korea. When compared to VOC inventories, large discrepancies showed underestimates from chemical products, liquefied petroleum gas, and long-range transport. Improved emissions and chemistry of these VOCs better described urban pollution. The new chemical scheme is relevant to urban areas and other VOC sources.
Beth S. Nelson, Zhenze Liu, Freya A. Squires, Marvin Shaw, James R. Hopkins, Jacqueline F. Hamilton, Andrew R. Rickard, Alastair C. Lewis, Zongbo Shi, and James D. Lee
Atmos. Chem. Phys., 24, 9031–9044, https://doi.org/10.5194/acp-24-9031-2024, https://doi.org/10.5194/acp-24-9031-2024, 2024
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The impact of combined air quality and carbon neutrality policies on O3 formation in Beijing was investigated. Emissions inventory data were used to estimate future pollutant mixing ratios relative to ground-level observations. O3 production was found to be most sensitive to changes in alkenes, but large reductions in less reactive compounds led to larger reductions in future O3 production. This study highlights the importance of understanding the emissions of organic pollutants.
Amir H. Souri, Bryan N. Duncan, Sarah A. Strode, Daniel C. Anderson, Michael E. Manyin, Junhua Liu, Luke D. Oman, Zhen Zhang, and Brad Weir
Atmos. Chem. Phys., 24, 8677–8701, https://doi.org/10.5194/acp-24-8677-2024, https://doi.org/10.5194/acp-24-8677-2024, 2024
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We explore a new method of using the wealth of information obtained from satellite observations of Aura OMI NO2, HCHO, and MERRA-2 reanalysis in NASA’s GEOS model equipped with an efficient tropospheric OH (TOH) estimator to enhance the representation of TOH spatial distribution and its long-term trends. This new framework helps us pinpoint regional inaccuracies in TOH and differentiate between established prior knowledge and newly acquired information from satellites on TOH trends.
Haipeng Lin, Louisa K. Emmons, Elizabeth W. Lundgren, Laura Hyesung Yang, Xu Feng, Ruijun Dang, Shixian Zhai, Yunxiao Tang, Makoto M. Kelp, Nadia K. Colombi, Sebastian D. Eastham, Thibaud M. Fritz, and Daniel J. Jacob
Atmos. Chem. Phys., 24, 8607–8624, https://doi.org/10.5194/acp-24-8607-2024, https://doi.org/10.5194/acp-24-8607-2024, 2024
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Tropospheric ozone is a major air pollutant, a greenhouse gas, and a major indicator of model skill. Global atmospheric chemistry models show large differences in simulations of tropospheric ozone, but isolating sources of differences is complicated by different model environments. By implementing the GEOS-Chem model side by side to CAM-chem within a common Earth system model, we identify and evaluate specific differences between the two models and their impacts on key chemical species.
Victor Lannuque and Karine Sartelet
Atmos. Chem. Phys., 24, 8589–8606, https://doi.org/10.5194/acp-24-8589-2024, https://doi.org/10.5194/acp-24-8589-2024, 2024
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Large uncertainties remain in understanding secondary organic aerosol (SOA) formation and speciation from naphthalene oxidation. This study details the development of the first near-explicit chemical scheme for naphthalene oxidation by OH, which includes kinetic and mechanistic data, and is able to reproduce most of the experimentally identified products in both gas and particle phases.
Tong Sha, Siyu Yang, Qingcai Chen, Liangqing Li, Xiaoyan Ma, Yan-Lin Zhang, Zhaozhong Feng, K. Folkert Boersma, and Jun Wang
Atmos. Chem. Phys., 24, 8441–8455, https://doi.org/10.5194/acp-24-8441-2024, https://doi.org/10.5194/acp-24-8441-2024, 2024
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Using an updated soil reactive nitrogen emission scheme in the Unified Inputs for Weather Research and Forecasting coupled with Chemistry (UI-WRF-Chem) model, we investigate the role of soil NO and HONO (Nr) emissions in air quality and temperature in North China. Contributions of soil Nr emissions to O3 and secondary pollutants are revealed, exceeding effects of soil NOx or HONO emission. Soil Nr emissions play an important role in mitigating O3 pollution and addressing climate change.
Jian Zhu, Shanshan Wang, Chuanqi Gu, Zhiwen Jiang, Sanbao Zhang, Ruibin Xue, Yuhao Yan, and Bin Zhou
Atmos. Chem. Phys., 24, 8383–8395, https://doi.org/10.5194/acp-24-8383-2024, https://doi.org/10.5194/acp-24-8383-2024, 2024
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In 2022, Shanghai implemented city-wide static management measures during the high-ozone season in April and May, providing a chance to study ozone pollution control. Despite significant emissions reductions, ozone levels increased by 23 %. Statistically, the number of days with higher ozone diurnal variation types increased during the lockdown period. The uneven decline in VOC and NO2 emissions led to heightened photochemical processes, resulting in the observed ozone level rise.
Matthew J. Rowlinson, Mat J. Evans, Lucy J. Carpenter, Katie A. Read, Shalini Punjabi, Adedayo Adedeji, Luke Fakes, Ally Lewis, Ben Richmond, Neil Passant, Tim Murrells, Barron Henderson, Kelvin H. Bates, and Detlev Helmig
Atmos. Chem. Phys., 24, 8317–8342, https://doi.org/10.5194/acp-24-8317-2024, https://doi.org/10.5194/acp-24-8317-2024, 2024
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Ethane and propane are volatile organic compounds emitted from human activities which help to form ozone, a pollutant and greenhouse gas, and also affect the chemistry of the lower atmosphere. Atmospheric models tend to do a poor job of reproducing the abundance of these compounds in the atmosphere. By using regional estimates of their emissions, rather than globally consistent estimates, we can significantly improve the simulation of ethane in the model and make some improvement for propane.
Rodrigo J. Seguel, Lucas Castillo, Charlie Opazo, Néstor Y. Rojas, Thiago Nogueira, María Cazorla, Mario Gavidia-Calderón, Laura Gallardo, René Garreaud, Tomás Carrasco-Escaff, and Yasin Elshorbany
Atmos. Chem. Phys., 24, 8225–8242, https://doi.org/10.5194/acp-24-8225-2024, https://doi.org/10.5194/acp-24-8225-2024, 2024
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Trends of surface ozone were examined across South America. Our findings indicate that ozone trends in major South American cities either increase or remain steady, with no signs of decline. The upward trends can be attributed to chemical regimes that efficiently convert nitric oxide into nitrogen dioxide. Additionally, our results suggest a climate penalty for ozone driven by meteorological conditions that favor wildfire propagation in Chile and extensive heat waves in southern Brazil.
Maarten Krol, Bart van Stratum, Isidora Anglou, and Klaas Folkert Boersma
Atmos. Chem. Phys., 24, 8243–8262, https://doi.org/10.5194/acp-24-8243-2024, https://doi.org/10.5194/acp-24-8243-2024, 2024
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This paper presents detailed plume simulations of nitrogen oxides and carbon dioxide that are emitted from four large industrial facilities world-wide. Results from the high-resolution simulations that include atmospheric chemistry are compared to nitrogen dioxide observations from satellites. We find good performance of the model and show that common assumptions that are used in simplified models need revision. This work is important for the monitoring of emissions using satellite data.
Robin Plauchu, Audrey Fortems-Cheiney, Grégoire Broquet, Isabelle Pison, Antoine Berchet, Elise Potier, Gaëlle Dufour, Adriana Coman, Dilek Savas, Guillaume Siour, and Henk Eskes
Atmos. Chem. Phys., 24, 8139–8163, https://doi.org/10.5194/acp-24-8139-2024, https://doi.org/10.5194/acp-24-8139-2024, 2024
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This study uses the Community Inversion Framework and CHIMERE model to assess the potential of TROPOMI-S5P PAL NO2 tropospheric column data to estimate NOx emissions in France (2019–2021). Results show a 3 % decrease in average emissions compared to the 2016 CAMS-REG/INS, lower than the 14 % decrease from CITEPA. The study highlights challenges in capturing emission anomalies due to limited data coverage and error levels but shows promise for local inventory improvements.
Zhendong Lu, Jun Wang, Yi Wang, Daven K. Henze, Xi Chen, Tong Sha, and Kang Sun
Atmos. Chem. Phys., 24, 7793–7813, https://doi.org/10.5194/acp-24-7793-2024, https://doi.org/10.5194/acp-24-7793-2024, 2024
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In contrast with past work showing that the reduction of emissions was the dominant factor for the nationwide increase of surface O3 during the lockdown in China, this study finds that the variation in meteorology (temperature and other parameters) plays a more important role. This result is obtained through sensitivity simulations using a chemical transport model constrained by satellite (TROPOMI) data and calibrated with surface observations.
Xiaohong Yao and Leiming Zhang
Atmos. Chem. Phys., 24, 7773–7791, https://doi.org/10.5194/acp-24-7773-2024, https://doi.org/10.5194/acp-24-7773-2024, 2024
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This study investigates long-term trends of criteria air pollutants, including NO2, CO, SO2, O3 and PM2.5, and NO2+O3 measured in 10 Canadian cities during the last 2 to 3 decades. We also investigate associated driving forces in terms of emission reductions, perturbations from varying weather conditions and large-scale wildfires, as well as changes in O3 sources and sinks.
Yao Ge, Sverre Solberg, Mathew R. Heal, Stefan Reimann, Willem van Caspel, Bryan Hellack, Thérèse Salameh, and David Simpson
Atmos. Chem. Phys., 24, 7699–7729, https://doi.org/10.5194/acp-24-7699-2024, https://doi.org/10.5194/acp-24-7699-2024, 2024
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Atmospheric volatile organic compounds (VOCs) constitute many species, acting as precursors to ozone and aerosol. Given the uncertainties in VOC emissions, lack of evaluation studies, and recent changes in emissions, this work adapts the EMEP MSC-W to evaluate emission inventories in Europe. We focus on the varying agreement between modelled and measured VOCs across different species and underscore potential inaccuracies in total and sector-specific emission estimates.
Shuzhuang Feng, Fei Jiang, Tianlu Qian, Nan Wang, Mengwei Jia, Songci Zheng, Jiansong Chen, Fang Ying, and Weimin Ju
Atmos. Chem. Phys., 24, 7481–7498, https://doi.org/10.5194/acp-24-7481-2024, https://doi.org/10.5194/acp-24-7481-2024, 2024
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We developed a multi-air-pollutant inversion system to estimate non-methane volatile organic compound (NMVOC) emissions using TROPOMI formaldehyde retrievals. We found that the inversion significantly improved formaldehyde simulations and reduced NMVOC emission uncertainties. The optimized NMVOC emissions effectively corrected the overestimation of O3 levels, mainly by decreasing the rate of the RO2 + NO reaction and increasing the rate of the NO2 + OH reaction.
Haklim Choi, Alison L. Redington, Hyeri Park, Jooil Kim, Rona L. Thompson, Jens Mühle, Peter K. Salameh, Christina M. Harth, Ray F. Weiss, Alistair J. Manning, and Sunyoung Park
Atmos. Chem. Phys., 24, 7309–7330, https://doi.org/10.5194/acp-24-7309-2024, https://doi.org/10.5194/acp-24-7309-2024, 2024
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We analyzed with an inversion model the atmospheric abundance of hydrofluorocarbons (HFCs), potent greenhouse gases, from 2008 to 2020 at Gosan station in South Korea and revealed a significant increase in emissions, especially from eastern China and Japan. This increase contradicts reported data, underscoring the need for accurate monitoring and reporting. Our findings are crucial for understanding and managing global HFCs emissions, highlighting the importance of efforts to reduce HFCs.
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
EGUsphere, https://doi.org/10.5194/egusphere-2024-1680, https://doi.org/10.5194/egusphere-2024-1680, 2024
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Here, 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 representation, we then estimate the cancer risk in the contiguous US from exposure to ambient formaldehyde and estimate 40 % of this risk is controllable through reductions in anthropogenic emissions of nitrogen oxides and reactive organic carbon.
Laura Hyesung Yang, Daniel J. Jacob, Ruijun Dang, Yujin J. Oak, Haipeng Lin, Jhoon Kim, Shixian Zhai, Nadia K. Colombi, Drew C. Pendergrass, Ellie Beaudry, Viral Shah, Xu Feng, Robert M. Yantosca, Heesung Chong, Junsung Park, Hanlim Lee, Won-Jin Lee, Soontae Kim, Eunhye Kim, Katherine R. Travis, James H. Crawford, and Hong Liao
Atmos. Chem. Phys., 24, 7027–7039, https://doi.org/10.5194/acp-24-7027-2024, https://doi.org/10.5194/acp-24-7027-2024, 2024
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The Geostationary Environment Monitoring Spectrometer (GEMS) provides hourly measurements of NO2. We use the chemical transport model to find how emissions, chemistry, and transport drive the changes in NO2 observed by GEMS at different times of the day. In winter, the chemistry plays a minor role, and high daytime emissions dominate the diurnal variation in NO2, balanced by transport. In summer, emissions, chemistry, and transport play an important role in shaping the diurnal variation in NO2.
Namrata Shanmukh Panji, Deborah F. McGlynn, Laura E. R. Barry, Todd M. Scanlon, Manuel T. Lerdau, Sally E. Pusede, and Gabriel Isaacman-VanWertz
EGUsphere, https://doi.org/10.5194/egusphere-2024-1715, https://doi.org/10.5194/egusphere-2024-1715, 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 of this parameter for future modifications to models.
M. Omar Nawaz, Jeremiah Johnson, Greg Yarwood, Benjamin de Foy, Laura Judd, and Daniel L. Goldberg
Atmos. Chem. Phys., 24, 6719–6741, https://doi.org/10.5194/acp-24-6719-2024, https://doi.org/10.5194/acp-24-6719-2024, 2024
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NO2 is a gas with implications for air pollution. A campaign conducted in Houston provided an opportunity to compare NO2 from different instruments and a model. Aircraft and satellite observations agreed well with measurements on the ground; however, the latter estimated lower values. We find that model-simulated NO2 was lower than observations, especially downtown, suggesting that NO2 sources associated with the urban core of Houston, such as vehicle emissions, may be underestimated.
Willem Elias van Caspel, Zbigniew Klimont, Chris Heyes, and Hilde Fagerli
EGUsphere, https://doi.org/10.5194/egusphere-2024-1422, https://doi.org/10.5194/egusphere-2024-1422, 2024
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Methane in the atmosphere contributes to the production of ozone gas, which is an air pollutant as well as a greenhouse gas. In this study, the impact of reducing methane emissions on surface ozone is investigated for the United Nations Economic Commission for Europe (UNECE) region excluding North America and Israel (the "EMEP region"), in particular in terms of its importance in reaching the ozone exposure guideline limits set by the World Health Organization.
Tianlang Zhao, Jingqiu Mao, Zolal Ayazpour, Gonzalo González Abad, Caroline R. Nowlan, and Yiqi Zheng
Atmos. Chem. Phys., 24, 6105–6121, https://doi.org/10.5194/acp-24-6105-2024, https://doi.org/10.5194/acp-24-6105-2024, 2024
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HCHO variability is a key tracer in understanding VOC emissions in response to climate change. We investigate the role of methane oxidation and biogenic and wildfire emissions in HCHO interannual variability over northern high latitudes in summer, emphasizing wildfires as a key driver of HCHO interannual variability in Alaska, Siberia and northern Canada using satellite HCHO and SIF retrievals and then GEOS-Chem model. We show SIF is a tool to understand biogenic HCHO variability in this region.
Jianghao Li, Alastair C. Lewis, Jim R. Hopkins, Stephen J. Andrews, Tim Murrells, Neil Passant, Ben Richmond, Siqi Hou, William J. Bloss, Roy M. Harrison, and Zongbo Shi
Atmos. Chem. Phys., 24, 6219–6231, https://doi.org/10.5194/acp-24-6219-2024, https://doi.org/10.5194/acp-24-6219-2024, 2024
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A summertime ozone event at an urban site in Birmingham is sensitive to volatile organic compounds (VOCs) – particularly those of oxygenated VOCs. The roles of anthropogenic VOC sources in urban ozone chemistry are examined by integrating the 1990–2019 national atmospheric emission inventory into model scenarios. Road transport remains the most powerful means of further reducing ozone in this case study, but the benefits may be offset if solvent emissions of VOCs continue to increase.
Kai-Lan Chang, Owen R. Cooper, Audrey Gaudel, Irina Petropavlovskikh, Peter Effertz, Gary Morris, and Brian C. McDonald
Atmos. Chem. Phys., 24, 6197–6218, https://doi.org/10.5194/acp-24-6197-2024, https://doi.org/10.5194/acp-24-6197-2024, 2024
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A great majority of observational trend studies of free tropospheric ozone use sparsely sampled ozonesonde and aircraft measurements as reference data sets. A ubiquitous assumption is that trends are accurate and reliable so long as long-term records are available. We show that sampling bias due to sparse samples can persistently reduce the trend accuracy, and we highlight the importance of maintaining adequate frequency and continuity of observations.
Jin Ma, Linda M. J. Kooijmans, Norbert Glatthor, Stephen A. Montzka, Marc von Hobe, Thomas Röckmann, and Maarten C. Krol
Atmos. Chem. Phys., 24, 6047–6070, https://doi.org/10.5194/acp-24-6047-2024, https://doi.org/10.5194/acp-24-6047-2024, 2024
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The global budget of atmospheric COS can be optimised by inverse modelling using TM5-4DVAR, with the co-constraints of NOAA surface observations and MIPAS satellite data. We found reduced COS biosphere uptake from inversions and improved land and ocean separation using MIPAS satellite data assimilation. Further improvements are expected from better quantification of COS ocean and biosphere fluxes.
Fu-Jie Zhu, Zi-Feng Zhang, Li-Yan Liu, Pu-Fei Yang, Peng-Tuan Hu, Geng-Bo Ren, Meng Qin, and Wan-Li Ma
Atmos. Chem. Phys., 24, 6095–6103, https://doi.org/10.5194/acp-24-6095-2024, https://doi.org/10.5194/acp-24-6095-2024, 2024
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Gas–particle (G–P) partitioning is an important atmospheric behavior for semi-volatile organic compounds (SVOCs). Diurnal variation in G–P partitioning of methylated polycyclic aromatic hydrocarbons (Me-PAHs) demonstrates the possible influence of gaseous degradation; the enhancement of gaseous degradation (1.10–5.58 times) on G–P partitioning is verified by a steady-state G–P partitioning model. The effect of gaseous degradation on G–P partitioning of (especially light) SVOCs is important.
Christoph Staehle, Harald E. Rieder, Arlene M. Fiore, and Jordan L. Schnell
Atmos. Chem. Phys., 24, 5953–5969, https://doi.org/10.5194/acp-24-5953-2024, https://doi.org/10.5194/acp-24-5953-2024, 2024
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Chemistry–climate models show biases compared to surface ozone observations and thus require bias correction for impact studies and the assessment of air quality changes. We compare the performance of commonly used correction techniques for model outputs available via CMIP6. While all methods can reduce model biases, better results are obtained from more complex approaches. Thus, our study suggests broader use of these techniques in studies seeking to inform air quality management and policy.
Qindan Zhu, Rebecca H. Schwantes, Matthew Coggon, Colin Harkins, Jordan Schnell, Jian He, Havala O. T. Pye, Meng Li, Barry Baker, Zachary Moon, Ravan Ahmadov, Eva Y. Pfannerstill, Bryan Place, Paul Wooldridge, Benjamin C. Schulze, Caleb Arata, Anthony Bucholtz, John H. Seinfeld, Carsten Warneke, Chelsea E. Stockwell, Lu Xu, Kristen Zuraski, Michael A. Robinson, J. Andrew Neuman, Patrick R. Veres, Jeff Peischl, Steven S. Brown, Allen H. Goldstein, Ronald C. Cohen, and Brian C. McDonald
Atmos. Chem. Phys., 24, 5265–5286, https://doi.org/10.5194/acp-24-5265-2024, https://doi.org/10.5194/acp-24-5265-2024, 2024
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Volatile organic compounds (VOCs) fuel the production of air pollutants like ozone and particulate matter. The representation of VOC chemistry remains challenging due to its complexity in speciation and reactions. Here, we develop a chemical mechanism, RACM2B-VCP, that better represents VOC chemistry in urban areas such as Los Angeles. We also discuss the contribution of VOCs emitted from volatile chemical products and other anthropogenic sources to total VOC reactivity and O3.
Hannah Nesser, Daniel J. Jacob, Joannes D. Maasakkers, Alba Lorente, Zichong Chen, Xiao Lu, Lu Shen, Zhen Qu, Melissa P. Sulprizio, Margaux Winter, Shuang Ma, A. Anthony Bloom, John R. Worden, Robert N. Stavins, and Cynthia A. Randles
Atmos. Chem. Phys., 24, 5069–5091, https://doi.org/10.5194/acp-24-5069-2024, https://doi.org/10.5194/acp-24-5069-2024, 2024
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We quantify 2019 methane emissions in the contiguous US (CONUS) at a ≈ 25 km × 25 km resolution using satellite methane observations. We find a 13 % upward correction to the 2023 US Environmental Protection Agency (EPA) Greenhouse Gas Emissions Inventory (GHGI) for 2019, with large corrections to individual states, urban areas, and landfills. This may present a challenge for US climate policies and goals, many of which target significant reductions in methane emissions.
David de la Paz, Rafael Borge, Juan Manuel de Andrés, Luis Tovar, Golam Sarwar, and Sergey L. Napelenok
Atmos. Chem. Phys., 24, 4949–4972, https://doi.org/10.5194/acp-24-4949-2024, https://doi.org/10.5194/acp-24-4949-2024, 2024
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This source apportionment modeling study shows that around 70 % of ground-level O3 in Madrid (Spain) is transported from other regions. Nonetheless, emissions from local sources, mainly road traffic, play a significant role, especially under atmospheric stagnation. Local measures during those conditions may be able to reduce O3 peaks by up to 30 % and, thus, lessen impacts from high-O3 episodes in the Madrid metropolitan area.
Audrey Fortems-Cheiney, Gregoire Broquet, Elise Potier, Robin Plauchu, Antoine Berchet, Isabelle Pison, Hugo Denier van der Gon, and Stijn Dellaert
Atmos. Chem. Phys., 24, 4635–4649, https://doi.org/10.5194/acp-24-4635-2024, https://doi.org/10.5194/acp-24-4635-2024, 2024
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We have estimated the carbon monixide (CO) European emissions from satellite observations of the MOPITT instrument at the relatively high resolution of 0.5° for a period of over 10 years from 2011 to 2021. The analysis of the inversion results reveals the challenges associated with the inversion of CO emissions at the regional scale over Europe.
Amy Christiansen, Loretta J. Mickley, and Lu Hu
Atmos. Chem. Phys., 24, 4569–4589, https://doi.org/10.5194/acp-24-4569-2024, https://doi.org/10.5194/acp-24-4569-2024, 2024
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In this work, we provide an additional constraint on emissions and trends of nitrogen oxides using nitrate wet deposition (NWD) fluxes over the United States and Europe from 1980–2020. We find that NWD measurements constrain total NOx emissions well. We also find evidence of NOx emission overestimates in both domains, but especially over Europe, where NOx emissions are overestimated by a factor of 2. Reducing NOx emissions over Europe improves model representation of ozone 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
EGUsphere, https://doi.org/10.5194/egusphere-2024-886, https://doi.org/10.5194/egusphere-2024-886, 2024
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We incoporated each HONO process into the current CMAQ modeling framework to enhance the accuracy of HONO mixing ratios 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 understading chemical transport models, with implications for better air quality mangement and environmental protection in the region.
Eduardo Torre-Pascual, Gotzon Gangoiti, Ana Rodríguez-García, Estibaliz Sáez de Cámara, Joana Ferreira, Carla Gama, María Carmen Gómez, Iñaki Zuazo, Jose Antonio García, and Maite de Blas
Atmos. Chem. Phys., 24, 4305–4329, https://doi.org/10.5194/acp-24-4305-2024, https://doi.org/10.5194/acp-24-4305-2024, 2024
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We present an analysis of an intense air pollution episode of tropospheric ozone (O3) along the Atlantic coast of the Iberian Peninsula, incorporating both measured and simulated parameters. Our study extends beyond surface-level factors to include altitude-related parameters. These episodes stem from upper-atmosphere O3 accumulation in preceding days, transported to surface layers, causing rapid O3 concentration increase.
Martin Vojta, Andreas Plach, Saurabh Annadate, Sunyong Park, Gawon Lee, Pallav Purohit, Florian Lindl, Xin Lan, Jens Mühle, Rona L. Thompson, and Andreas Stohl
EGUsphere, https://doi.org/10.5194/egusphere-2024-811, https://doi.org/10.5194/egusphere-2024-811, 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 Europe, while they are substantially growing in China, leading overall to an increasing global emission trend. The national reports for the USA, Europe, 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.
Hannah Chawner, Eric Saboya, Karina E. Adcock, Tim Arnold, Yuri Artioli, Caroline Dylag, Grant L. Forster, Anita Ganesan, Heather Graven, Gennadi Lessin, Peter Levy, Ingrid T. Luijkx, Alistair Manning, Penelope A. Pickers, Chris Rennick, Christian Rödenbeck, and Matthew Rigby
Atmos. Chem. Phys., 24, 4231–4252, https://doi.org/10.5194/acp-24-4231-2024, https://doi.org/10.5194/acp-24-4231-2024, 2024
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The quantity of atmospheric potential oxygen (APO), derived from coincident measurements of carbon dioxide (CO2) and oxygen (O2), has been proposed as a tracer for fossil fuel CO2 emissions. In this model sensitivity study, we examine the use of APO for this purpose in the UK and compare our model to observations. We find that our model simulations are most sensitive to uncertainties relating to ocean fluxes and boundary conditions.
Meng Li, Junichi Kurokawa, Qiang Zhang, Jung-Hun Woo, Tazuko Morikawa, Satoru Chatani, Zifeng Lu, Yu Song, Guannan Geng, Hanwen Hu, Jinseok Kim, Owen R. Cooper, and Brian C. McDonald
Atmos. Chem. Phys., 24, 3925–3952, https://doi.org/10.5194/acp-24-3925-2024, https://doi.org/10.5194/acp-24-3925-2024, 2024
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In this work, we developed MIXv2, a mosaic Asian emission inventory for 2010–2017. With high spatial (0.1°) and monthly temporal resolution, MIXv2 integrates anthropogenic and open biomass burning emissions across seven sectors following a mosaic methodology. It provides CO2 emissions data alongside nine key pollutants and three chemical mechanisms. Our publicly accessible gridded monthly emissions data can facilitate long-term atmospheric and climate model analyses.
Lauri Johannes Franzon, Marie Camredon, Richard Valorso, Bernard Aumont, and Theo Christian Kurtén
EGUsphere, https://doi.org/10.5194/egusphere-2024-920, https://doi.org/10.5194/egusphere-2024-920, 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 are qualitatively investigating a recently discovered chemical reaction channel for one of the most important short-lived radical compounds, peroxy radicals, and discovering which of these reactions are most atmospherically important.
Christopher Lawrence, Mary Barth, John Orlando, Paul Casson, Richard Brandt, Daniel Kelting, Elizabeth Yerger, and Sara Lance
EGUsphere, https://doi.org/10.5194/egusphere-2024-715, https://doi.org/10.5194/egusphere-2024-715, 2024
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This work uses WRF-Chem and chemical box modeling to study the gas and aqueous phase production of organic acid concentrations measured in cloud water the summit of Whiteface Mountain on July 1st, 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.
Xiaomeng Zhang, Yongjian Lian, Shendong Tan, and Shi Yin
Atmos. Chem. Phys., 24, 3593–3612, https://doi.org/10.5194/acp-24-3593-2024, https://doi.org/10.5194/acp-24-3593-2024, 2024
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Atmospheric new particle formation (NPF) has a significant influence on the global climate, local air quality and human health. Using a combination of quantum chemical calculations and kinetics modeling, we find that thhe gas-phase organosulfate produced from consumption of SO3 can significantly enhance SA–DMA nucleation in the polluted boundary layer, resulting in non-negligible contributions to NPF. Our findings provide important insights into organic sulfur in atmospheric aerosol formation.
Yasin Elshorbany, Jerald Ziemke, Sarah Strode, Hervé Petetin, Kazuyuki Miyazaki, Isabelle De Smedt, Kenneth Pickering, Rodrigo Seguel, Helen Worden, Tamara Emmerichs, Domenico Taraborrelli, Maria Cazorla, Suvarna Fadnavis, Rebecca Buchholz, Benjamin Gaubert, Néstor Rojas, Thiago Nogueira, Thérèse Salameh, and Min Huang
EGUsphere, https://doi.org/10.5194/egusphere-2024-720, https://doi.org/10.5194/egusphere-2024-720, 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 of CO as well as ozonesonde data and model simulations.
Linia Tashmim, William C. Porter, Qianjie Chen, Becky Alexander, Charles H. Fite, Christopher D. Holmes, Jeffrey R. Pierce, Betty Croft, and Sakiko Ishino
Atmos. Chem. Phys., 24, 3379–3403, https://doi.org/10.5194/acp-24-3379-2024, https://doi.org/10.5194/acp-24-3379-2024, 2024
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Dimethyl sulfide (DMS) is mostly emitted from ocean surfaces and represents the largest natural source of sulfur for the atmosphere. Once in the atmosphere, DMS forms stable oxidation products such as SO2 and H2SO4, which can subsequently contribute to airborne particle formation and growth. In this study, we update the DMS oxidation mechanism in the chemical transport model GEOS-Chem and describe resulting changes in particle growth as well as the overall global sulfur budget.
Tia Scarpelli, Paul Palmer, Mark Lunt, Ingrid Super, and Arjan Droste
EGUsphere, https://doi.org/10.5194/egusphere-2024-416, https://doi.org/10.5194/egusphere-2024-416, 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.
Nan Wang, Yunsong Du, Dongyang Chen, Haiyan Meng, Xi Chen, Li Zhou, Guangming Shi, Yu Zhan, Miao Feng, Wei Li, Mulan Chen, Zhenliang Li, and Fumo Yang
Atmos. Chem. Phys., 24, 3029–3042, https://doi.org/10.5194/acp-24-3029-2024, https://doi.org/10.5194/acp-24-3029-2024, 2024
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In the scorching August 2022 heatwave, China's Sichuan Basin saw a stark contrast in ozone (O3) levels between Chengdu and Chongqing. The regional disparities were studied considering meteorology, precursors, photochemistry, and transportation. The study highlighted the importance of tailored pollution control measures and underlined the necessity for region-specific strategies to combat O3 pollution on a regional scale.
Sebastian D. Eastham, Guillaume P. Chossière, Raymond L. Speth, Daniel J. Jacob, and Steven R. H. Barrett
Atmos. Chem. Phys., 24, 2687–2703, https://doi.org/10.5194/acp-24-2687-2024, https://doi.org/10.5194/acp-24-2687-2024, 2024
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Emissions from aircraft are known to cause air quality impacts worldwide, but the scale and mechanisms of this impact are not well understood. This work uses high-resolution computational modeling of the atmosphere to show that air pollution changes from aviation are mostly the result of emissions during cruise (high-altitude) operations, that these impacts are related to how much non-aviation pollution is present, and that prior regional assessments have underestimated these impacts.
Jean-François Müller, Trissevgeni Stavrakou, Glenn-Michael Oomen, Beata Opacka, Isabelle De Smedt, Alex Guenther, Corinne Vigouroux, Bavo Langerock, Carlos Augusto Bauer Aquino, Michel Grutter, James Hannigan, Frank Hase, Rigel Kivi, Erik Lutsch, Emmanuel Mahieu, Maria Makarova, Jean-Marc Metzger, Isamu Morino, Isao Murata, Tomoo Nagahama, Justus Notholt, Ivan Ortega, Mathias Palm, Amelie Röhling, Wolfgang Stremme, Kimberly Strong, Ralf Sussmann, Yao Té, and Alan Fried
Atmos. Chem. Phys., 24, 2207–2237, https://doi.org/10.5194/acp-24-2207-2024, https://doi.org/10.5194/acp-24-2207-2024, 2024
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Formaldehyde observations from satellites can be used to constrain the emissions of volatile organic compounds, but those observations have biases. Using an atmospheric model, aircraft and ground-based remote sensing data, we quantify these biases, propose a correction to the data, and assess the consequence of this correction for the evaluation of emissions.
Joël Thanwerdas, Marielle Saunois, Antoine Berchet, Isabelle Pison, and Philippe Bousquet
Atmos. Chem. Phys., 24, 2129–2167, https://doi.org/10.5194/acp-24-2129-2024, https://doi.org/10.5194/acp-24-2129-2024, 2024
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We investigate the causes of the renewed growth of atmospheric methane (CH4) after 2007 using inverse modeling. We use the additional information provided by observations of CH4 isotopic compositions to better differentiate between the emission categories. Accounting for the large uncertainties in source signatures, our results suggest that the post-2007 increase in atmospheric CH4 was caused by similar increases in emissions from (1) fossil fuels and (2) agriculture and waste.
Heather Simon, Christian Hogrefe, Andrew Whitehill, Kristen M. Foley, Jennifer Liljegren, Norm Possiel, Benjamin Wells, Barron H. Henderson, Lukas C. Valin, Gail Tonnesen, K. Wyat Appel, and Shannon Koplitz
Atmos. Chem. Phys., 24, 1855–1871, https://doi.org/10.5194/acp-24-1855-2024, https://doi.org/10.5194/acp-24-1855-2024, 2024
Short summary
Short summary
We assess observed and modeled ozone weekend–weekday differences in the USA from 2002–2019. A subset of urban areas that were NOx-saturated at the beginning of the period transitioned to NOx-limited conditions. Multiple rural areas of California were NOx-limited for the entire period but become less influenced by local day-of-week emission patterns in more recent years. The model produces more NOx-saturated conditions than the observations but captures trends in weekend–weekday ozone patterns.
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
EGUsphere, https://doi.org/10.5194/egusphere-2024-324, https://doi.org/10.5194/egusphere-2024-324, 2024
Short summary
Short summary
We quantified the contributions of land transport, shipping and aviation emissions to tropospheric ozone 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 highllight the challenges of mitigating ozone formed by emissions of the transport sector, caused by the non-linearitiy of the ozone chemistry and the long life-time.
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+– –Na+– – –Cl−–H2O
aerosols, Atmos. Chem. Phys., 7, 4639–4659,
https://doi.org/10.5194/acp-7-4639-2007, 2007.
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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