Articles | Volume 16, issue 5
https://doi.org/10.5194/acp-16-3499-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-16-3499-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
17 Mar 2016
Research article |
| 17 Mar 2016
Exploring the uncertainty associated with satellite-based estimates of premature mortality due to exposure to fine particulate matter
Department of Atmospheric Science, Colorado State
University, Fort Collins, CO, USA
Colette L. Heald
Department of Civil and Environmental Engineering and
Department of Earth, Atmospheric and Planetary Sciences, MIT, Cambridge, MA,
USA
Related authors
Eric A. Wendt, Bonne Ford, and John Volckens
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2022-217, https://doi.org/10.5194/amt-2022-217, 2022
Publication in AMT not foreseen
Short summary
Short summary
Outdoor air pollution poses global public health and environmental risks. One method to quantify outdoor air pollution is sun photometery, a technique that measures how much airborne particles affects sunlight intensity. Clouds obscuring the sun can bias sun photometer measurements. Here we propose an image-based deep learning framework for automatic quality control of sun photometer measurements. We show our algorithm is effective at classifying images of the sun as cloud-contaminated or not.
Michael Cheeseman, Bonne Ford, Zoey Rosen, Eric Wendt, Alex DesRosiers, Aaron J. Hill, Christian L'Orange, Casey Quinn, Marilee Long, Shantanu H. Jathar, John Volckens, and Jeffrey R. Pierce
Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2021-751, https://doi.org/10.5194/acp-2021-751, 2021
Revised manuscript not accepted
Short summary
Short summary
This article predicts concentrations of airborne particulate matter over wintertime Denver, CO, USA, using meteorological and geographic information, as well as low-cost aerosol optical depth (AOD) measurements captured by citizen scientists. Machine learning methods revealed that low boundary layer heights and stagnant air were the best predictors of poor air quality, while AOD provided little skill in predicting particulate matter for this location and time period.
Eric A. Wendt, Casey Quinn, Christian L'Orange, Daniel D. Miller-Lionberg, Bonne Ford, Jeffrey R. Pierce, John Mehaffy, Michael Cheeseman, Shantanu H. Jathar, David H. Hagan, Zoey Rosen, Marilee Long, and John Volckens
Atmos. Meas. Tech., 14, 6023–6038, https://doi.org/10.5194/amt-14-6023-2021, https://doi.org/10.5194/amt-14-6023-2021, 2021
Short summary
Short summary
Fine particulate matter air pollution is one of the leading contributors to adverse health outcomes on the planet. Here, we describe the design and validation of a low-cost, compact, and autonomous instrument capable of measuring particulate matter levels directly, via mass sampling, and optically, via mass and sunlight extinction measurements. We demonstrate the instrument's accuracy relative to reference measurements and its potential for community-level sampling.
Bonne Ford, Jeffrey R. Pierce, Eric Wendt, Marilee Long, Shantanu Jathar, John Mehaffy, Jessica Tryner, Casey Quinn, Lizette van Zyl, Christian L'Orange, Daniel Miller-Lionberg, and John Volckens
Atmos. Meas. Tech., 12, 6385–6399, https://doi.org/10.5194/amt-12-6385-2019, https://doi.org/10.5194/amt-12-6385-2019, 2019
Short summary
Short summary
This study demonstrates the use of a low-cost sensor in a citizen-science network, Citizen-Enabled Aerosol Measurements for Satellites (CEAMS), to measure air quality in participants’ backyards. The pilot network was conducted in the fall and winter of 2017 in northern Colorado. Measurements of aerosols taken by the citizens are also compared to standard air quality instruments.
Eric A. Wendt, Casey W. Quinn, Daniel D. Miller-Lionberg, Jessica Tryner, Christian L'Orange, Bonne Ford, Azer P. Yalin, Jeffrey R. Pierce, Shantanu Jathar, and John Volckens
Atmos. Meas. Tech., 12, 5431–5441, https://doi.org/10.5194/amt-12-5431-2019, https://doi.org/10.5194/amt-12-5431-2019, 2019
Short summary
Short summary
We introduce a low-cost, compact device (aerosol mass and optical depth (AMOD) sampler) that can be used by citizen scientists to measure air quality. Our paper discusses the development and different components for measuring aerosols. It also shows that measurements made by the AMOD next to reference-grade monitors agreed within 10 %. Coupled with the cost of these instruments, this agreement demonstrates that the AMOD can be widely deployed to monitor air quality by citizen scientists.
Bonne Ford, Moira Burke, William Lassman, Gabriele Pfister, and Jeffrey R. Pierce
Atmos. Chem. Phys., 17, 7541–7554, https://doi.org/10.5194/acp-17-7541-2017, https://doi.org/10.5194/acp-17-7541-2017, 2017
Short summary
Short summary
We explore using the percent of Facebook posters mentioning
smokeor
air qualityto assess exposure to wildfire smoke in the western US during summer 2015. We compare this de-identified, aggregated Facebook dataset to satellite observations, surface measurements, and model-simulated concentrations, and we find good agreement in smoke-impacted regions. Our results suggest that aggregate social media data can be used to supplement traditional datasets to estimate smoke exposure.
B. Ford and C. L. Heald
Atmos. Chem. Phys., 13, 9269–9283, https://doi.org/10.5194/acp-13-9269-2013, https://doi.org/10.5194/acp-13-9269-2013, 2013
M. Val Martin, C. L. Heald, B. Ford, A. J. Prenni, and C. Wiedinmyer
Atmos. Chem. Phys., 13, 7429–7439, https://doi.org/10.5194/acp-13-7429-2013, https://doi.org/10.5194/acp-13-7429-2013, 2013
Joseph O. Palmo, Colette L. Heald, Donald R. Blake, Ilann Bourgeois, Matthew Coggon, Jeff Collett, Frank Flocke, Alan Fried, Georgios Gkatzelis, Samuel Hall, Lu Hu, Jose L. Jimenez, Pedro Campuzano-Jost, I-Ting Ku, Benjamin Nault, Brett Palm, Jeff Peischl, Ilana Pollack, Amy Sullivan, Joel Thornton, Carsten Warneke, Armin Wisthaler, and Lu Xu
EGUsphere, https://doi.org/10.5194/egusphere-2025-1969, https://doi.org/10.5194/egusphere-2025-1969, 2025
This preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).
Short summary
Short summary
This study investigates ozone production within wildfire smoke plumes as they age, using both aircraft observations and models. We find that the chemical environment and resulting ozone production within smoke changes as plumes evolve, with implications for climate and public health.
Olivia G. Norman, Colette L. Heald, Solomon Bililign, Pedro Campuzano-Jost, Hugh Coe, Marc N. Fiddler, Jaime R. Green, Jose L. Jimenez, Katharina Kaiser, Jin Liao, Ann M. Middlebrook, Benjamin A. Nault, John B. Nowak, Johannes Schneider, and André Welti
Atmos. Chem. Phys., 25, 771–795, https://doi.org/10.5194/acp-25-771-2025, https://doi.org/10.5194/acp-25-771-2025, 2025
Short summary
Short summary
This study finds that one component of secondary inorganic aerosols, nitrate, is greatly overestimated by a global atmospheric chemistry model compared to observations from 11 flight campaigns. None of the loss and production pathways explored can explain the nitrate bias alone. The model’s inability to capture the variability in the observations remains and requires future investigation to avoid biases in policy-related studies (i.e., air quality, health, climate impacts of these aerosols).
Kevin J. Nihill, Matthew M. Coggon, Christopher Y. Lim, Abigail R. Koss, Bin Yuan, Jordan E. Krechmer, Kanako Sekimoto, Jose L. Jimenez, Joost de Gouw, Christopher D. Cappa, Colette L. Heald, Carsten Warneke, and Jesse H. Kroll
Atmos. Chem. Phys., 23, 7887–7899, https://doi.org/10.5194/acp-23-7887-2023, https://doi.org/10.5194/acp-23-7887-2023, 2023
Short summary
Short summary
In this work, we collect emissions from controlled burns of biomass fuels that can be found in the western United States into an environmental chamber in order to simulate their oxidation as they pass through the atmosphere. These findings provide a detailed characterization of the composition of the atmosphere downwind of wildfires. In turn, this will help to explore the effects of these changing emissions on downwind populations and will also directly inform atmospheric and climate models.
Qing Ye, Matthew B. Goss, Jordan E. Krechmer, Francesca Majluf, Alexander Zaytsev, Yaowei Li, Joseph R. Roscioli, Manjula Canagaratna, Frank N. Keutsch, Colette L. Heald, and Jesse H. Kroll
Atmos. Chem. Phys., 22, 16003–16015, https://doi.org/10.5194/acp-22-16003-2022, https://doi.org/10.5194/acp-22-16003-2022, 2022
Short summary
Short summary
The atmospheric oxidation of dimethyl sulfide (DMS) is a major natural source of sulfate particles in the atmosphere. However, its mechanism is poorly constrained. In our work, laboratory measurements and mechanistic modeling were conducted to comprehensively investigate DMS oxidation products and key reaction rates. We find that the peroxy radical (RO2) has a controlling effect on product distribution and aerosol yield, with the isomerization of RO2 leading to the suppression of aerosol yield.
Therese S. Carter, Colette L. Heald, Jesse H. Kroll, Eric C. Apel, Donald Blake, Matthew Coggon, Achim Edtbauer, Georgios Gkatzelis, Rebecca S. Hornbrook, Jeff Peischl, Eva Y. Pfannerstill, Felix Piel, Nina G. Reijrink, Akima Ringsdorf, Carsten Warneke, Jonathan Williams, Armin Wisthaler, and Lu Xu
Atmos. Chem. Phys., 22, 12093–12111, https://doi.org/10.5194/acp-22-12093-2022, https://doi.org/10.5194/acp-22-12093-2022, 2022
Short summary
Short summary
Fires emit many gases which can contribute to smog and air pollution. However, the amount and properties of these chemicals are not well understood, so this work updates and expands their representation in a global atmospheric model, including by adding new chemicals. We confirm that this updated representation generally matches measurements taken in several fire regions. We then show that fires provide ~15 % of atmospheric reactivity globally and more than 75 % over fire source regions.
Eric A. Wendt, Bonne Ford, and John Volckens
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2022-217, https://doi.org/10.5194/amt-2022-217, 2022
Publication in AMT not foreseen
Short summary
Short summary
Outdoor air pollution poses global public health and environmental risks. One method to quantify outdoor air pollution is sun photometery, a technique that measures how much airborne particles affects sunlight intensity. Clouds obscuring the sun can bias sun photometer measurements. Here we propose an image-based deep learning framework for automatic quality control of sun photometer measurements. We show our algorithm is effective at classifying images of the sun as cloud-contaminated or not.
Ka Ming Fung, Colette L. Heald, Jesse H. Kroll, Siyuan Wang, Duseong S. Jo, Andrew Gettelman, Zheng Lu, Xiaohong Liu, Rahul A. Zaveri, Eric C. Apel, Donald R. Blake, Jose-Luis Jimenez, Pedro Campuzano-Jost, Patrick R. Veres, Timothy S. Bates, John E. Shilling, and Maria Zawadowicz
Atmos. Chem. Phys., 22, 1549–1573, https://doi.org/10.5194/acp-22-1549-2022, https://doi.org/10.5194/acp-22-1549-2022, 2022
Short summary
Short summary
Understanding the natural aerosol burden in the preindustrial era is crucial for us to assess how atmospheric aerosols affect the Earth's radiative budgets. Our study explores how a detailed description of dimethyl sulfide (DMS) oxidation (implemented in the Community Atmospheric Model version 6 with chemistry, CAM6-chem) could help us better estimate the present-day and preindustrial concentrations of sulfate and other relevant chemicals, as well as the resulting aerosol radiative impacts.
Michael Cheeseman, Bonne Ford, Zoey Rosen, Eric Wendt, Alex DesRosiers, Aaron J. Hill, Christian L'Orange, Casey Quinn, Marilee Long, Shantanu H. Jathar, John Volckens, and Jeffrey R. Pierce
Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2021-751, https://doi.org/10.5194/acp-2021-751, 2021
Revised manuscript not accepted
Short summary
Short summary
This article predicts concentrations of airborne particulate matter over wintertime Denver, CO, USA, using meteorological and geographic information, as well as low-cost aerosol optical depth (AOD) measurements captured by citizen scientists. Machine learning methods revealed that low boundary layer heights and stagnant air were the best predictors of poor air quality, while AOD provided little skill in predicting particulate matter for this location and time period.
Eric A. Wendt, Casey Quinn, Christian L'Orange, Daniel D. Miller-Lionberg, Bonne Ford, Jeffrey R. Pierce, John Mehaffy, Michael Cheeseman, Shantanu H. Jathar, David H. Hagan, Zoey Rosen, Marilee Long, and John Volckens
Atmos. Meas. Tech., 14, 6023–6038, https://doi.org/10.5194/amt-14-6023-2021, https://doi.org/10.5194/amt-14-6023-2021, 2021
Short summary
Short summary
Fine particulate matter air pollution is one of the leading contributors to adverse health outcomes on the planet. Here, we describe the design and validation of a low-cost, compact, and autonomous instrument capable of measuring particulate matter levels directly, via mass sampling, and optically, via mass and sunlight extinction measurements. We demonstrate the instrument's accuracy relative to reference measurements and its potential for community-level sampling.
Ruud H. H. Janssen, Colette L. Heald, Allison L. Steiner, Anne E. Perring, J. Alex Huffman, Ellis S. Robinson, Cynthia H. Twohy, and Luke D. Ziemba
Atmos. Chem. Phys., 21, 4381–4401, https://doi.org/10.5194/acp-21-4381-2021, https://doi.org/10.5194/acp-21-4381-2021, 2021
Short summary
Short summary
Bioaerosols are ubiquitous in the atmosphere and have the potential to affect cloud formation, as well as human and ecosystem health. However, their emissions are not well quantified, which hinders the assessment of their role in atmospheric processes. Here, we develop two new emission schemes for fungal spores based on multi-annual datasets of spore counts. We find that our modeled global emissions and burden are an order of magnitude lower than previous estimates.
Katherine R. Travis, Colette L. Heald, Hannah M. Allen, Eric C. Apel, Stephen R. Arnold, Donald R. Blake, William H. Brune, Xin Chen, Róisín Commane, John D. Crounse, Bruce C. Daube, Glenn S. Diskin, James W. Elkins, Mathew J. Evans, Samuel R. Hall, Eric J. Hintsa, Rebecca S. Hornbrook, Prasad S. Kasibhatla, Michelle J. Kim, Gan Luo, Kathryn McKain, Dylan B. Millet, Fred L. Moore, Jeffrey Peischl, Thomas B. Ryerson, Tomás Sherwen, Alexander B. Thames, Kirk Ullmann, Xuan Wang, Paul O. Wennberg, Glenn M. Wolfe, and Fangqun Yu
Atmos. Chem. Phys., 20, 7753–7781, https://doi.org/10.5194/acp-20-7753-2020, https://doi.org/10.5194/acp-20-7753-2020, 2020
Short summary
Short summary
Atmospheric models overestimate the rate of removal of trace gases by the hydroxyl radical (OH). This is a concern for studies of the climate and air quality impacts of human activities. Here, we evaluate the performance of a commonly used model of atmospheric chemistry against data from the NASA Atmospheric Tomography Mission (ATom) over the remote oceans where models have received little validation. The model is generally successful, suggesting that biases in OH may be a concern over land.
Sam J. Silva, Colette L. Heald, and Alex B. Guenther
Geosci. Model Dev., 13, 2569–2585, https://doi.org/10.5194/gmd-13-2569-2020, https://doi.org/10.5194/gmd-13-2569-2020, 2020
Short summary
Short summary
Simulating the influence of the biosphere on atmospheric chemistry has traditionally been computationally intensive. We describe a surrogate canopy physics model parameterized using a statistical learning technique and specifically designed for use in large-scale chemical transport models. Our surrogate model reproduces a more detailed model to within 10 % without a large computational demand, improving the process representation of biosphere–atmosphere exchange.
Sidhant J. Pai, Colette L. Heald, Jeffrey R. Pierce, Salvatore C. Farina, Eloise A. Marais, Jose L. Jimenez, Pedro Campuzano-Jost, Benjamin A. Nault, Ann M. Middlebrook, Hugh Coe, John E. Shilling, Roya Bahreini, Justin H. Dingle, and Kennedy Vu
Atmos. Chem. Phys., 20, 2637–2665, https://doi.org/10.5194/acp-20-2637-2020, https://doi.org/10.5194/acp-20-2637-2020, 2020
Short summary
Short summary
Aerosols in the atmosphere have significant health and climate impacts. Organic aerosol (OA) accounts for a large fraction of the total aerosol burden, but models have historically struggled to accurately simulate it. This study compares two very different OA model schemes and evaluates them against a suite of globally distributed airborne measurements with the goal of providing insight into the strengths and weaknesses of each approach across different environments.
Therese S. Carter, Colette L. Heald, Jose L. Jimenez, Pedro Campuzano-Jost, Yutaka Kondo, Nobuhiro Moteki, Joshua P. Schwarz, Christine Wiedinmyer, Anton S. Darmenov, Arlindo M. da Silva, and Johannes W. Kaiser
Atmos. Chem. Phys., 20, 2073–2097, https://doi.org/10.5194/acp-20-2073-2020, https://doi.org/10.5194/acp-20-2073-2020, 2020
Short summary
Short summary
Fires and the smoke they emit impact air quality, health, and climate, but the abundance and properties of smoke remain uncertain and poorly constrained. To explore this, we compare model simulations driven by four commonly-used fire emission inventories with surface, aloft, and satellite observations. We show that across inventories smoke emissions differ by factors of 4 to 7 over North America, challenging our ability to accurately characterize the impact of smoke on air quality and climate.
Bonne Ford, Jeffrey R. Pierce, Eric Wendt, Marilee Long, Shantanu Jathar, John Mehaffy, Jessica Tryner, Casey Quinn, Lizette van Zyl, Christian L'Orange, Daniel Miller-Lionberg, and John Volckens
Atmos. Meas. Tech., 12, 6385–6399, https://doi.org/10.5194/amt-12-6385-2019, https://doi.org/10.5194/amt-12-6385-2019, 2019
Short summary
Short summary
This study demonstrates the use of a low-cost sensor in a citizen-science network, Citizen-Enabled Aerosol Measurements for Satellites (CEAMS), to measure air quality in participants’ backyards. The pilot network was conducted in the fall and winter of 2017 in northern Colorado. Measurements of aerosols taken by the citizens are also compared to standard air quality instruments.
Maria A. Zawadowicz, Karl D. Froyd, Anne E. Perring, Daniel M. Murphy, Dominick V. Spracklen, Colette L. Heald, Peter R. Buseck, and Daniel J. Cziczo
Atmos. Chem. Phys., 19, 13859–13870, https://doi.org/10.5194/acp-19-13859-2019, https://doi.org/10.5194/acp-19-13859-2019, 2019
Short summary
Short summary
We report measurements of small particles of biological origin (for example, fragments of bacteria, pollen, or fungal spores) in the atmosphere over the continental United States. We use a recently developed identification technique based on airborne mass spectrometry in conjunction with an extensive aircraft dataset. We show that biological particles are present at altitudes up to 10 km and we quantify typical concentrations.
William C. Porter and Colette L. Heald
Atmos. Chem. Phys., 19, 13367–13381, https://doi.org/10.5194/acp-19-13367-2019, https://doi.org/10.5194/acp-19-13367-2019, 2019
Short summary
Short summary
In this paper we explore the connection between changes in surface temperature and changes in ozone pollution. While explanations for this connection have been proposed in the past, we attempt to better quantify them using models and statistics. We find that some of the most commonly cited mechanisms, including biogenic emissions and temperature-dependent chemical processes, can explain less than half of the O3–T correlation. Meteorology is identified as the most likely driver for the remainder.
Eric A. Wendt, Casey W. Quinn, Daniel D. Miller-Lionberg, Jessica Tryner, Christian L'Orange, Bonne Ford, Azer P. Yalin, Jeffrey R. Pierce, Shantanu Jathar, and John Volckens
Atmos. Meas. Tech., 12, 5431–5441, https://doi.org/10.5194/amt-12-5431-2019, https://doi.org/10.5194/amt-12-5431-2019, 2019
Short summary
Short summary
We introduce a low-cost, compact device (aerosol mass and optical depth (AMOD) sampler) that can be used by citizen scientists to measure air quality. Our paper discusses the development and different components for measuring aerosols. It also shows that measurements made by the AMOD next to reference-grade monitors agreed within 10 %. Coupled with the cost of these instruments, this agreement demonstrates that the AMOD can be widely deployed to monitor air quality by citizen scientists.
Shan S. Zhou, Amos P. K. Tai, Shihan Sun, Mehliyar Sadiq, Colette L. Heald, and Jeffrey A. Geddes
Atmos. Chem. Phys., 18, 14133–14148, https://doi.org/10.5194/acp-18-14133-2018, https://doi.org/10.5194/acp-18-14133-2018, 2018
Short summary
Short summary
Surface ozone pollution harms vegetation. As plants play key roles shaping air quality, the plant damage may further worsen air pollution. We use various computer models to examine such feedback effects, and find that ozone-induced decline in leaf density can lead to much higher ozone levels in forested regions, mostly due to the reduced ability of leaves to absorb pollutants. This study highlights the importance of considering the two-way interactions between plants and air pollution.
Harri Kokkola, Thomas Kühn, Anton Laakso, Tommi Bergman, Kari E. J. Lehtinen, Tero Mielonen, Antti Arola, Scarlet Stadtler, Hannele Korhonen, Sylvaine Ferrachat, Ulrike Lohmann, David Neubauer, Ina Tegen, Colombe Siegenthaler-Le Drian, Martin G. Schultz, Isabelle Bey, Philip Stier, Nikos Daskalakis, Colette L. Heald, and Sami Romakkaniemi
Geosci. Model Dev., 11, 3833–3863, https://doi.org/10.5194/gmd-11-3833-2018, https://doi.org/10.5194/gmd-11-3833-2018, 2018
Short summary
Short summary
In this paper we present a global aerosol–chemistry–climate model with the focus on its representation for atmospheric aerosol particles. In the model, aerosols are simulated using the aerosol module SALSA2.0, which in this paper is compared to satellite, ground, and aircraft-based observations of the properties of atmospheric aerosol. Based on this study, the model simulated aerosol properties compare well with the observations.
Luke D. Schiferl, Colette L. Heald, and David Kelly
Biogeosciences, 15, 4301–4315, https://doi.org/10.5194/bg-15-4301-2018, https://doi.org/10.5194/bg-15-4301-2018, 2018
Short summary
Short summary
To understand future food security, it is critical to develop realistic crop models with reliable sensitivity to environmental factors. We find that particulate matter (PM) causes a significant, but smaller, enhancement for global wheat and rice production than estimated without nutrient and physiological limitations imposed by a crop model. In contrast, maize grows near its physiological maximum, with little enhancement from PM. Nitrogen deposition leads to a small increase in crop production.
Luke D. Schiferl and Colette L. Heald
Atmos. Chem. Phys., 18, 5953–5966, https://doi.org/10.5194/acp-18-5953-2018, https://doi.org/10.5194/acp-18-5953-2018, 2018
Short summary
Short summary
Global population growth and industrialization have contributed to poor air quality worldwide, and increasing population will put pressure on global food production. We therefore assess how air pollution may impact crop growth. Ozone has previously been shown to damage crops. We demonstrate that the impact of particles associated with enhanced light scattering promotes growth, offsetting much, if not all, ozone damage. This has implications for air quality management and global food security.
Xuan Wang, Colette L. Heald, Jiumeng Liu, Rodney J. Weber, Pedro Campuzano-Jost, Jose L. Jimenez, Joshua P. Schwarz, and Anne E. Perring
Atmos. Chem. Phys., 18, 635–653, https://doi.org/10.5194/acp-18-635-2018, https://doi.org/10.5194/acp-18-635-2018, 2018
Short summary
Short summary
Brown carbon (BrC) contributes significantly to uncertainty in estimating the global direct radiative effect (DRE) of aerosols. We develop a global model simulation of BrC and test it against BrC absorption measurements from two aircraft campaigns in the continental United States. We suggest that BrC DRE has been overestimated previously due to the lack of observational constraints from direct measurements and omission of the effects of photochemical whitening.
David H. Hagan, Gabriel Isaacman-VanWertz, Jonathan P. Franklin, Lisa M. M. Wallace, Benjamin D. Kocar, Colette L. Heald, and Jesse H. Kroll
Atmos. Meas. Tech., 11, 315–328, https://doi.org/10.5194/amt-11-315-2018, https://doi.org/10.5194/amt-11-315-2018, 2018
Short summary
Short summary
The use of low-cost sensors for air pollution research has outpaced our understanding of their capabilities and limitations under real-world conditions. Here we describe the deployment, calibration and evaluation of electrochemical sensors on the Island of Hawai‘i. We obtain excellent performance (RMSE < 7 ppb, r2 = 0.997) across a wide dynamic range (1 ppb–2 ppm). We introduce a hybrid regression algorithm which works across a large dynamic range and shows little decay in sensitivity over time.
Bonne Ford, Moira Burke, William Lassman, Gabriele Pfister, and Jeffrey R. Pierce
Atmos. Chem. Phys., 17, 7541–7554, https://doi.org/10.5194/acp-17-7541-2017, https://doi.org/10.5194/acp-17-7541-2017, 2017
Short summary
Short summary
We explore using the percent of Facebook posters mentioning
smokeor
air qualityto assess exposure to wildfire smoke in the western US during summer 2015. We compare this de-identified, aggregated Facebook dataset to satellite observations, surface measurements, and model-simulated concentrations, and we find good agreement in smoke-impacted regions. Our results suggest that aggregate social media data can be used to supplement traditional datasets to estimate smoke exposure.
Molly B. Smith, Natalie M. Mahowald, Samuel Albani, Aaron Perry, Remi Losno, Zihan Qu, Beatrice Marticorena, David A. Ridley, and Colette L. Heald
Atmos. Chem. Phys., 17, 3253–3278, https://doi.org/10.5194/acp-17-3253-2017, https://doi.org/10.5194/acp-17-3253-2017, 2017
Short summary
Short summary
Using different meteorology reanalyses to drive dust in climate modeling can produce dissimilar global dust distributions, especially in the Southern Hemisphere (SH). It may therefore not be advisable for SH dust studies to base results on simulations driven by one reanalysis. Northern Hemisphere dust varies mostly on seasonal timescales, while SH dust varies on interannual timescales. Dust is an important part of climate modeling, and we hope this contributes to understanding these simulations.
David A. Ridley, Colette L. Heald, Jasper F. Kok, and Chun Zhao
Atmos. Chem. Phys., 16, 15097–15117, https://doi.org/10.5194/acp-16-15097-2016, https://doi.org/10.5194/acp-16-15097-2016, 2016
Short summary
Short summary
Mineral dust aerosol affects climate through interaction with radiation and clouds, human health through contribution to particulate matter, and ecosystem health through nutrient transport and deposition. In this study, we use satellite and in situ retrievals to derive an observational estimate of the global dust AOD with which evaluate modeled dust AOD. Differences in the seasonality and regional distribution of dust AOD between observations and models are highlighted.
Colette L. Heald and Jeffrey A. Geddes
Atmos. Chem. Phys., 16, 14997–15010, https://doi.org/10.5194/acp-16-14997-2016, https://doi.org/10.5194/acp-16-14997-2016, 2016
Short summary
Short summary
Humans have altered the surface of the Earth since preindustrial times. These changes (largely expansion of croplands and pasturelands) have modified biosphere–atmosphere fluxes. In this study we use a global model to assess the impact of these changes on the formation of secondary particulate matter and troposphere ozone. We find that there are significant air quality and climate impacts associated with these changes.
Xuan Wang, Colette L. Heald, Arthur J. Sedlacek, Suzane S. de Sá, Scot T. Martin, M. Lizabeth Alexander, Thomas B. Watson, Allison C. Aiken, Stephen R. Springston, and Paulo Artaxo
Atmos. Chem. Phys., 16, 12733–12752, https://doi.org/10.5194/acp-16-12733-2016, https://doi.org/10.5194/acp-16-12733-2016, 2016
Short summary
Short summary
We describe a new approach to estimate the absorption of brown carbon (BrC) from multiple-wavelength absorption measurements. By applying this method to column and surface observations globally, we find that BrC contributes up to 40 % of the absorption measured at 440 nm. The analysis of two surface sites also suggests that BrC absorptivity decreases with photochemical aging in biomass burning plumes, but not in typical urban conditions.
Luke D. Schiferl, Colette L. Heald, Martin Van Damme, Lieven Clarisse, Cathy Clerbaux, Pierre-François Coheur, John B. Nowak, J. Andrew Neuman, Scott C. Herndon, Joseph R. Roscioli, and Scott J. Eilerman
Atmos. Chem. Phys., 16, 12305–12328, https://doi.org/10.5194/acp-16-12305-2016, https://doi.org/10.5194/acp-16-12305-2016, 2016
Short summary
Short summary
This study combines new observations and a simulation to assess the interannual variability of atmospheric ammonia concentrations over the United States. The model generally underrepresents the observed variability. Nearly two-thirds of the simulated variability is caused by meteorology, twice that caused by regulations on fossil fuel combustion emissions. Adding ammonia emissions variability does not substantially improve the simulation and has little impact on summer particle concentrations.
Sam J. Silva, Colette L. Heald, Jeffrey A. Geddes, Kemen G. Austin, Prasad S. Kasibhatla, and Miriam E. Marlier
Atmos. Chem. Phys., 16, 10621–10635, https://doi.org/10.5194/acp-16-10621-2016, https://doi.org/10.5194/acp-16-10621-2016, 2016
Short summary
Short summary
We investigate the impacts of current (2010) and future (2020) oil palm plantations across Southeast Asia on surface–atmosphere exchange and air quality using satellite data, land maps, and a chemical transport model. These changes lead to increases in surface ozone and particulate matter. Oil palm plantations are likely to continue to degrade regional air quality in the coming decade and hinder efforts to achieve air quality regulations in major urban areas such as Kuala Lumpur and Singapore.
Matthew J. Alvarado, Chantelle R. Lonsdale, Helen L. Macintyre, Huisheng Bian, Mian Chin, David A. Ridley, Colette L. Heald, Kenneth L. Thornhill, Bruce E. Anderson, Michael J. Cubison, Jose L. Jimenez, Yutaka Kondo, Lokesh K. Sahu, Jack E. Dibb, and Chien Wang
Atmos. Chem. Phys., 16, 9435–9455, https://doi.org/10.5194/acp-16-9435-2016, https://doi.org/10.5194/acp-16-9435-2016, 2016
Short summary
Short summary
Understanding the scattering and absorption of light by aerosols is necessary for understanding air quality and climate change. We used data from the 2008 ARCTAS campaign to evaluate aerosol optical property models using a closure methodology that separates errors in these models from other errors in aerosol emissions, chemistry, or transport. We find that the models on average perform reasonably well, and make suggestions for how remaining biases could be reduced.
Jeffrey A. Geddes, Colette L. Heald, Sam J. Silva, and Randall V. Martin
Atmos. Chem. Phys., 16, 2323–2340, https://doi.org/10.5194/acp-16-2323-2016, https://doi.org/10.5194/acp-16-2323-2016, 2016
Short summary
Short summary
Land use and land cover changes driven by anthropogenic activities or natural causes (e.g., forestry management, agriculture, wildfires) can impact climate and air quality in many complex ways. Using a state-of-the-art chemistry model, we investigate how tree mortality in the US due to insect infestation and disease outbreak may impact atmospheric composition. We find that the surface concentrations of ozone and aerosol can be altered due to changing background emissions and loss processes.
W. C. Porter, C. L. Heald, D. Cooley, and B. Russell
Atmos. Chem. Phys., 15, 10349–10366, https://doi.org/10.5194/acp-15-10349-2015, https://doi.org/10.5194/acp-15-10349-2015, 2015
M. Val Martin, C. L. Heald, J.-F. Lamarque, S. Tilmes, L. K. Emmons, and B. A. Schichtel
Atmos. Chem. Phys., 15, 2805–2823, https://doi.org/10.5194/acp-15-2805-2015, https://doi.org/10.5194/acp-15-2805-2015, 2015
Short summary
Short summary
We present for the first time the relative effect of climate, emissions, and land use change on ozone and PM25 over the United States, focusing on the national parks. Air quality in 2050 will likely be dominated by emission patterns, but climate and land use changes alone can lead to a substantial increase in air pollution over most of the US, with important implications for O3 air quality, visibility and ecosystem health degradation in the national parks.
X. Wang, C. L. Heald, D. A. Ridley, J. P. Schwarz, J. R. Spackman, A. E. Perring, H. Coe, D. Liu, and A. D. Clarke
Atmos. Chem. Phys., 14, 10989–11010, https://doi.org/10.5194/acp-14-10989-2014, https://doi.org/10.5194/acp-14-10989-2014, 2014
D. V. Spracklen and C. L. Heald
Atmos. Chem. Phys., 14, 9051–9059, https://doi.org/10.5194/acp-14-9051-2014, https://doi.org/10.5194/acp-14-9051-2014, 2014
D. A. Ridley, C. L. Heald, and J. M. Prospero
Atmos. Chem. Phys., 14, 5735–5747, https://doi.org/10.5194/acp-14-5735-2014, https://doi.org/10.5194/acp-14-5735-2014, 2014
C. L. Heald, D. A. Ridley, J. H. Kroll, S. R. H. Barrett, K. E. Cady-Pereira, M. J. Alvarado, and C. D. Holmes
Atmos. Chem. Phys., 14, 5513–5527, https://doi.org/10.5194/acp-14-5513-2014, https://doi.org/10.5194/acp-14-5513-2014, 2014
M. Van Damme, L. Clarisse, C. L. Heald, D. Hurtmans, Y. Ngadi, C. Clerbaux, A. J. Dolman, J. W. Erisman, and P. F. Coheur
Atmos. Chem. Phys., 14, 2905–2922, https://doi.org/10.5194/acp-14-2905-2014, https://doi.org/10.5194/acp-14-2905-2014, 2014
B. Ford and C. L. Heald
Atmos. Chem. Phys., 13, 9269–9283, https://doi.org/10.5194/acp-13-9269-2013, https://doi.org/10.5194/acp-13-9269-2013, 2013
M. Val Martin, C. L. Heald, B. Ford, A. J. Prenni, and C. Wiedinmyer
Atmos. Chem. Phys., 13, 7429–7439, https://doi.org/10.5194/acp-13-7429-2013, https://doi.org/10.5194/acp-13-7429-2013, 2013
A. R. Berg, C. L. Heald, K. E. Huff Hartz, A. G. Hallar, A. J. H. Meddens, J. A. Hicke, J.-F. Lamarque, and S. Tilmes
Atmos. Chem. Phys., 13, 3149–3161, https://doi.org/10.5194/acp-13-3149-2013, https://doi.org/10.5194/acp-13-3149-2013, 2013
Related subject area
Subject: Aerosols | Research Activity: Atmospheric Modelling and Data Analysis | Altitude Range: Troposphere | Science Focus: Chemistry (chemical composition and reactions)
Modelling of atmospheric variability in gas and aerosols during the ACROSS campaign 2022 of the greater Paris area: evaluation of the meteorology, dynamics and chemistry
Spatial–temporal patterns in anthropogenic and biomass burning emission contributions to air pollution and mortality burden changes in India from 1995 to 2014
A comprehensive global modeling assessment of nitrate heterogeneous formation on desert dust
AERO-MAP: a data compilation and modeling approach to understand spatial variability in fine- and coarse-mode aerosol composition
Long-term trends in aerosol properties derived from AERONET measurements
Impacts of sea ice leads on sea salt aerosols and atmospheric chemistry in the Arctic
Dimethyl sulfide chemistry over the industrial era: comparison of key oxidation mechanisms and long-term observations
Driving factors of aerosol acidity: a new hierarchical quantitative analysis framework and its application in Changzhou, China
Understanding the long-term trend of organic aerosol and the influences from anthropogenic emission and regional climate change in China
Population exposure to outdoor NO2, black carbon, and ultrafine and fine particles over Paris with multi-scale modelling down to the street scale
Predicted impacts of heterogeneous chemical pathways on particulate sulfur over Fairbanks (Alaska), the Northern Hemisphere, and the Contiguous United States
Critical load exceedances for North America and Europe using an ensemble of models and an investigation of causes of environmental impact estimate variability: an AQMEII4 study
Impacts of meteorology and emission reductions on haze pollution during the lockdown in the North China Plain
Impact of mineral dust on the global nitrate aerosol direct and indirect radiative effect
The surface tension and cloud condensation nuclei (CCN) activation of sea spray aerosol particles
Exploring the processes controlling secondary inorganic aerosol: evaluating the global GEOS-Chem simulation using a suite of aircraft campaigns
Influence of land cover change on atmospheric organic gases, aerosols, and radiative effects
Quantifying the impacts of marine aerosols over the southeast Atlantic Ocean using a chemical transport model: implications for aerosol–cloud interactions
Quantifying the impact of global nitrate aerosol on tropospheric composition fields and its production from lightning NOx
Source-explicit estimation of brown carbon in the polluted atmosphere over North China Plain: implications for distribution, absorption and direct radiative effect
Rapid oxidation of phenolic compounds by O3 and HO●: effects of the air–water interface and mineral dust in tropospheric chemical processes
Uncertainties in the effects of organic aerosol coatings on polycyclic aromatic hydrocarbon concentrations and their estimated health effects
Modeling the contribution of leads to sea spray aerosol in the high Arctic
Trends and Drivers of Soluble Iron Deposition from East Asian Dust to the Northwest Pacific: A Springtime Analysis (2001–2017)
Implications of Reduced-Complexity Aerosol Thermodynamics on Organic Aerosol Mass Concentration and Composition over North America
Importance of aerosol composition and aerosol vertical profiles in global spatial variation in the relationship between PM2.5 and aerosol optical depth
The co-benefits of a low-carbon future for PM2.5 and O3 air pollution in Europe
Assessing the effectiveness of SO2, NOx, and NH3 emission reductions in mitigating winter PM2.5 in Taiwan using CMAQ
Modelling of atmospheric concentrations of fungal spores: a 2-year simulation over France using CHIMERE
Cluster-dynamics-based parameterization for sulfuric acid–dimethylamine nucleation: comparison and selection through box and three-dimensional modeling
Opinion: The Impact of AerChemMIP on Climate and Air Quality Research
Observed and CMIP6-model-simulated organic aerosol response to drought in the contiguous United States during summertime
Cooling radiative forcing effect enhancement of atmospheric amines and mineral particles caused by heterogeneous uptake and oxidation
Source-resolved atmospheric metal emissions, concentrations, and deposition fluxes into the East Asian seas
Analysis of secondary inorganic aerosols over the greater Athens area using the EPISODE–CityChem source dispersion and photochemistry model
Global estimates of ambient reactive nitrogen components during 2000–2100 based on the multi-stage model
The role of naphthalene and its derivatives in the formation of secondary organic aerosol in the Yangtze River Delta region, China
Unveiling the optimal regression model for source apportionment of the oxidative potential of PM10
Investigating the contribution of grown new particles to cloud condensation nuclei with largely varying preexisting particles – Part 2: Modeling chemical drivers and 3-D new particle formation occurrence
Technical note: Influence of different averaging metrics and temporal resolutions on the aerosol pH calculated by thermodynamic modeling
Dual roles of the inorganic aqueous phase on secondary organic aerosol growth from benzene and phenol
Global source apportionment of aerosols into major emission regions and sectors over 1850–2017
Modeling atmospheric brown carbon in the GISS ModelE Earth system model
Observation-constrained kinetic modeling of isoprene SOA formation in the atmosphere
Significant impact of urban tree biogenic emissions on air quality estimated by a bottom-up inventory and chemistry transport modeling
Secondary organic aerosols derived from intermediate-volatility n-alkanes adopt low-viscous phase state
Modeling the drivers of fine PM pollution over Central Europe: impacts and contributions of emissions from different sources
Reaction of SO3 with H2SO4 and its implications for aerosol particle formation in the gas phase and at the air–water interface
Weakened aerosol–radiation interaction exacerbating ozone pollution in eastern China since China's clean air actions
Uncertainties from biomass burning aerosols in air quality models obscure public health impacts in Southeast Asia
Ludovico Di Antonio, Matthias Beekmann, Guillaume Siour, Vincent Michoud, Christopher Cantrell, Astrid Bauville, Antonin Bergé, Mathieu Cazaunau, Servanne Chevaillier, Manuela Cirtog, Joel F. de Brito, Paola Formenti, Cecile Gaimoz, Olivier Garret, Aline Gratien, Valérie Gros, Martial Haeffelin, Lelia N. Hawkins, Simone Kotthaus, Gael Noyalet, Diana L. Pereira, Jean-Eudes Petit, Eva Drew Pronovost, Véronique Riffault, Chenjie Yu, Gilles Foret, Jean-François Doussin, and Claudia Di Biagio
Atmos. Chem. Phys., 25, 4803–4831, https://doi.org/10.5194/acp-25-4803-2025, https://doi.org/10.5194/acp-25-4803-2025, 2025
Short summary
Short summary
The summer of 2022 has been considered a proxy for future climate scenarios due to its hot and dry conditions. In this paper, we use the measurements from the Atmospheric Chemistry of the Suburban Forest (ACROSS) campaign, conducted in the Paris area in June–July 2022, along with observations from existing networks, to evaluate a 3D chemistry transport model (WRF–CHIMERE) simulation. Results are shown to be satisfactory, allowing us to explain the gas and aerosol variability at the campaign sites.
Bin Luo, Yuqiang Zhang, Tao Tang, Hongliang Zhang, Jianlin Hu, Jiangshan Mu, Wenxing Wang, and Likun Xue
Atmos. Chem. Phys., 25, 4767–4783, https://doi.org/10.5194/acp-25-4767-2025, https://doi.org/10.5194/acp-25-4767-2025, 2025
Short summary
Short summary
India is facing a severe air pollution crisis that poses significant health risks, particularly from PM2.5 and O3. Our study reveals rising levels of both pollutants from 1995 to 2014, leading to increased premature mortality. While anthropogenic emissions play a significant role, biomass burning also impacts air quality, in particular seasons and regions in India. This study underscores the urgent need for localized policies to protect public health amid escalating environmental challenges.
Rubén Soussé Villa, Oriol Jorba, María Gonçalves Ageitos, Dene Bowdalo, Marc Guevara, and Carlos Pérez García-Pando
Atmos. Chem. Phys., 25, 4719–4753, https://doi.org/10.5194/acp-25-4719-2025, https://doi.org/10.5194/acp-25-4719-2025, 2025
Short summary
Short summary
Desert dust forms nitrate coatings as it travels through the atmosphere. However, current models that predict this process vary greatly due to different methods and inaccuracies. We examined how nitrate forms in a global model, focusing on how gases condense on dust, the lifespan of different particles, and the impact of alkalinity. Our findings show that models work best when they consider reversible gas condensation with alkalinity. This should lead to better estimates of climate impacts.
Natalie M. Mahowald, Longlei Li, Julius Vira, Marje Prank, Douglas S. Hamilton, Hitoshi Matsui, Ron L. Miller, P. Louis Lu, Ezgi Akyuz, Daphne Meidan, Peter Hess, Heikki Lihavainen, Christine Wiedinmyer, Jenny Hand, Maria Grazia Alaimo, Célia Alves, Andres Alastuey, Paulo Artaxo, Africa Barreto, Francisco Barraza, Silvia Becagli, Giulia Calzolai, Shankararaman Chellam, Ying Chen, Patrick Chuang, David D. Cohen, Cristina Colombi, Evangelia Diapouli, Gaetano Dongarra, Konstantinos Eleftheriadis, Johann Engelbrecht, Corinne Galy-Lacaux, Cassandra Gaston, Dario Gomez, Yenny González Ramos, Roy M. Harrison, Chris Heyes, Barak Herut, Philip Hopke, Christoph Hüglin, Maria Kanakidou, Zsofia Kertesz, Zbigniew Klimont, Katriina Kyllönen, Fabrice Lambert, Xiaohong Liu, Remi Losno, Franco Lucarelli, Willy Maenhaut, Beatrice Marticorena, Randall V. Martin, Nikolaos Mihalopoulos, Yasser Morera-Gómez, Adina Paytan, Joseph Prospero, Sergio Rodríguez, Patricia Smichowski, Daniela Varrica, Brenna Walsh, Crystal L. Weagle, and Xi Zhao
Atmos. Chem. Phys., 25, 4665–4702, https://doi.org/10.5194/acp-25-4665-2025, https://doi.org/10.5194/acp-25-4665-2025, 2025
Short summary
Short summary
Aerosol particles are an important part of the Earth system, but their concentrations are spatially and temporally heterogeneous, as well as being variable in size and composition. Here, we present a new compilation of PM2.5 and PM10 aerosol observations, focusing on the spatial variability across different observational stations, including composition, and demonstrate a method for comparing the data sets to model output.
Zhenyu Zhang, Jing Li, Huizheng Che, Yueming Dong, Oleg Dubovik, Thomas Eck, Pawan Gupta, Brent Holben, Jhoon Kim, Elena Lind, Trailokya Saud, Sachchida Nand Tripathi, and Tong Ying
Atmos. Chem. Phys., 25, 4617–4637, https://doi.org/10.5194/acp-25-4617-2025, https://doi.org/10.5194/acp-25-4617-2025, 2025
Short summary
Short summary
We used ground-based remote sensing data from the Aerosol Robotic Network to examine long-term trends in aerosol characteristics. We found aerosol loadings generally decreased globally, and aerosols became more scattering. These changes are closely related to variations in aerosol compositions, such as decreased anthropogenic emissions over East Asia, Europe, and North America; increased anthropogenic sources over northern India; and increased dust activity over the Arabian Peninsula.
Erin J. Emme and Hannah M. Horowitz
Atmos. Chem. Phys., 25, 4531–4545, https://doi.org/10.5194/acp-25-4531-2025, https://doi.org/10.5194/acp-25-4531-2025, 2025
Short summary
Short summary
There is uncertainty in the sources of Arctic cold-season (November–April) sea salt aerosols. Using a chemical transport model and satellite observations, we quantify Arctic-wide sea salt aerosol emissions from fractures in sea ice, called open sea ice leads, and their atmospheric chemistry impacts for the cold season. We show that sea ice leads contribute to Arctic sea salt aerosols and bromine, especially in under-observed regions.
Ursula A. Jongebloed, Jacob I. Chalif, Linia Tashmim, William C. Porter, Kelvin H. Bates, Qianjie Chen, Erich C. Osterberg, Bess G. Koffman, Jihong Cole-Dai, Dominic A. Winski, David G. Ferris, Karl J. Kreutz, Cameron P. Wake, and Becky Alexander
Atmos. Chem. Phys., 25, 4083–4106, https://doi.org/10.5194/acp-25-4083-2025, https://doi.org/10.5194/acp-25-4083-2025, 2025
Short summary
Short summary
Marine phytoplankton emit dimethyl sulfide (DMS), which forms methanesulfonic acid (MSA) and sulfate. MSA concentrations in ice cores decreased over the industrial era, which has been attributed to pollution-driven changes in DMS chemistry. We use a model to investigate DMS chemistry compared to observations of DMS, MSA, and sulfate. We find that modeled DMS, MSA, and sulfate are influenced by pollution-sensitive oxidant concentrations, characterization of DMS chemistry, and other variables.
Xiaolin Duan, Guangjie Zheng, Chuchu Chen, Qiang Zhang, and Kebin He
Atmos. Chem. Phys., 25, 3919–3928, https://doi.org/10.5194/acp-25-3919-2025, https://doi.org/10.5194/acp-25-3919-2025, 2025
Short summary
Short summary
Aerosol acidity is an important parameter in atmospheric chemistry, while its driving factors, especially chemical profiles versus meteorological conditions, are not yet fully understood. Here, we established a hierarchical quantitative analysis framework to understand the driving factors of aerosol acidity on different timescales. Its application in Changzhou, China, revealed distinct driving factors and corresponding mechanisms of aerosol acidity from annual trends to random residuals.
Wenxin Zhang, Yaman Liu, Man Yue, Xinyi Dong, Kan Huang, and Minghuai Wang
Atmos. Chem. Phys., 25, 3857–3872, https://doi.org/10.5194/acp-25-3857-2025, https://doi.org/10.5194/acp-25-3857-2025, 2025
Short summary
Short summary
Understanding long-term organic aerosol (OA) trends and their driving factors is important for air quality management. Our modeling revealed that OA in China increased by 5.6 % from 1990 to 2019, primarily due to a 32.3 % increase in secondary organic aerosols (SOAs) and an 8.1 % decrease in primary organic aerosols (POAs), both largely driven by changes in anthropogenic emissions. Biogenic SOA increased due to warming but showed little response to changes in anthropogenic nitrogen oxide emissions.
Soo-Jin Park, Lya Lugon, Oscar Jacquot, Youngseob Kim, Alexia Baudic, Barbara D'Anna, Ludovico Di Antonio, Claudia Di Biagio, Fabrice Dugay, Olivier Favez, Véronique Ghersi, Aline Gratien, Julien Kammer, Jean-Eudes Petit, Olivier Sanchez, Myrto Valari, Jérémy Vigneron, and Karine Sartelet
Atmos. Chem. Phys., 25, 3363–3387, https://doi.org/10.5194/acp-25-3363-2025, https://doi.org/10.5194/acp-25-3363-2025, 2025
Short summary
Short summary
To accurately represent the population exposure to outdoor concentrations of pollutants of interest to health (NO2, PM2.5, black carbon, and ultrafine particles), multi-scale modelling down to the street scale is set up and evaluated using measurements from field campaigns. An exposure scaling factor is defined, allowing regional-scale simulations to be corrected to evaluate population exposure. Urban heterogeneities strongly influence NO2, black carbon, and ultrafine particles but less strongly PM2.5.
Sara L. Farrell, Havala O. T. Pye, Robert Gilliam, George Pouliot, Deanna Huff, Golam Sarwar, William Vizuete, Nicole Briggs, Fengkui Duan, Tao Ma, Shuping Zhang, and Kathleen Fahey
Atmos. Chem. Phys., 25, 3287–3312, https://doi.org/10.5194/acp-25-3287-2025, https://doi.org/10.5194/acp-25-3287-2025, 2025
Short summary
Short summary
In this work we implement heterogeneous sulfur chemistry into the Community Multiscale Air Quality (CMAQ) model. This new chemistry accounts for the formation of sulfate via aqueous oxidation of SO2 in aerosol liquid water and the formation of hydroxymethanesulfonate (HMS) – often confused by measurement techniques as sulfate. Model performance in predicting sulfur PM2.5 in Fairbanks, Alaska, and other places that experience dark and cold winters is improved.
Paul A. Makar, Philip Cheung, Christian Hogrefe, Ayodeji Akingunola, Ummugulsum Alyuz, Jesse O. Bash, Michael D. Bell, Roberto Bellasio, Roberto Bianconi, Tim Butler, Hazel Cathcart, Olivia E. Clifton, Alma Hodzic, Ioannis Kioutsioukis, Richard Kranenburg, Aurelia Lupascu, Jason A. Lynch, Kester Momoh, Juan L. Perez-Camanyo, Jonathan Pleim, Young-Hee Ryu, Roberto San Jose, Donna Schwede, Thomas Scheuschner, Mark W. Shephard, Ranjeet S. Sokhi, and Stefano Galmarini
Atmos. Chem. Phys., 25, 3049–3107, https://doi.org/10.5194/acp-25-3049-2025, https://doi.org/10.5194/acp-25-3049-2025, 2025
Short summary
Short summary
The large range of sulfur and nitrogen deposition estimates from air quality models results in a large range of predicted impacts. We used models and deposition diagnostics to identify the processes controlling atmospheric sulfur and nitrogen deposition variability. Controlling factors included the uptake of gases and aerosols by hydrometeors, aerosol inorganic chemistry, particle dry deposition, ammonia bidirectional fluxes, gas deposition via plant cuticles and soil, and land use data.
Lang Liu, Xin Long, Yi Li, Zengliang Zang, Fengwen Wang, Yan Han, Zhier Bao, Yang Chen, Tian Feng, and Jinxin Yang
Atmos. Chem. Phys., 25, 1569–1585, https://doi.org/10.5194/acp-25-1569-2025, https://doi.org/10.5194/acp-25-1569-2025, 2025
Short summary
Short summary
This study uses WRF-Chem to assess how meteorological conditions and emission reductions affected fine particulate matter (PM2.5) in the North China Plain (NCP). It highlights regional disparities: in the northern NCP, adverse weather negated emission reduction effects. In contrast, the southern NCP featured a PM2.5 decrease due to favorable weather and emission reductions. The research highlighted the interaction between emissions, meteorology, and PM2.5.
Alexandros Milousis, Klaus Klingmüller, Alexandra P. Tsimpidi, Jasper F. Kok, Maria Kanakidou, Athanasios Nenes, and Vlassis A. Karydis
Atmos. Chem. Phys., 25, 1333–1351, https://doi.org/10.5194/acp-25-1333-2025, https://doi.org/10.5194/acp-25-1333-2025, 2025
Short summary
Short summary
This study investigates the impact of dust on the global radiative effect of nitrate aerosols. The results indicate both positive and negative regional shortwave and longwave radiative effects due to aerosol–radiation interactions and cloud adjustments. The global average net REari and REaci of nitrate aerosols are −0.11 and +0.17 W m−2, respectively, mainly affecting the shortwave spectrum. Sensitivity simulations evaluated the influence of mineral dust composition and emissions on the results.
Judith Kleinheins, Nadia Shardt, Ulrike Lohmann, and Claudia Marcolli
Atmos. Chem. Phys., 25, 881–903, https://doi.org/10.5194/acp-25-881-2025, https://doi.org/10.5194/acp-25-881-2025, 2025
Short summary
Short summary
We model the cloud condensation nuclei (CCN) activation of sea spray aerosol particles with classical Köhler theory and with a new model approach that takes surface tension lowering into account. We categorize organic compounds into weak, intermediate, and strong surfactants, and we outline for which composition surface tension lowering is important. The results suggest that surface tension lowering allows sea spray aerosol particles in the Aitken mode to be a source of CCN in marine updraughts.
Olivia G. Norman, Colette L. Heald, Solomon Bililign, Pedro Campuzano-Jost, Hugh Coe, Marc N. Fiddler, Jaime R. Green, Jose L. Jimenez, Katharina Kaiser, Jin Liao, Ann M. Middlebrook, Benjamin A. Nault, John B. Nowak, Johannes Schneider, and André Welti
Atmos. Chem. Phys., 25, 771–795, https://doi.org/10.5194/acp-25-771-2025, https://doi.org/10.5194/acp-25-771-2025, 2025
Short summary
Short summary
This study finds that one component of secondary inorganic aerosols, nitrate, is greatly overestimated by a global atmospheric chemistry model compared to observations from 11 flight campaigns. None of the loss and production pathways explored can explain the nitrate bias alone. The model’s inability to capture the variability in the observations remains and requires future investigation to avoid biases in policy-related studies (i.e., air quality, health, climate impacts of these aerosols).
Ryan Vella, Matthew Forrest, Andrea Pozzer, Alexandra P. Tsimpidi, Thomas Hickler, Jos Lelieveld, and Holger Tost
Atmos. Chem. Phys., 25, 243–262, https://doi.org/10.5194/acp-25-243-2025, https://doi.org/10.5194/acp-25-243-2025, 2025
Short summary
Short summary
This study examines how land cover changes influence biogenic volatile organic compound (BVOC) emissions and atmospheric states. Using a coupled chemistry–climate–vegetation model, we compare present-day land cover (deforested for crops and grazing) with natural vegetation and an extreme reforestation scenario. We find that vegetation changes significantly impact global BVOC emissions and organic aerosols but have a relatively small effect on total aerosols, clouds, and radiative effects.
Mashiat Hossain, Rebecca M. Garland, and Hannah M. Horowitz
Atmos. Chem. Phys., 24, 14123–14143, https://doi.org/10.5194/acp-24-14123-2024, https://doi.org/10.5194/acp-24-14123-2024, 2024
Short summary
Short summary
Our research examines aerosol dynamics over the southeast Atlantic, a region with significant uncertainties in aerosol radiative forcings. Using the GEOS-Chem model, we find that at cloud altitudes, organic aerosols dominate during the biomass burning season, while sulfate aerosols, driven by marine emissions, prevail during peak primary production. These findings highlight the need for accurate representation of marine aerosols in models to improve climate predictions and reduce uncertainties.
Ashok K. Luhar, Anthony C. Jones, and Jonathan M. Wilkinson
Atmos. Chem. Phys., 24, 14005–14028, https://doi.org/10.5194/acp-24-14005-2024, https://doi.org/10.5194/acp-24-14005-2024, 2024
Short summary
Short summary
Nitrate aerosol is often omitted in global chemistry–climate models, partly due to the chemical complexity of its formation process. Using a global model, we show that including nitrate aerosol significantly impacts tropospheric composition fields, such as ozone, and radiation. Additionally, lightning-generated oxides of nitrogen influence both nitrate aerosol mass concentrations and aerosol size distribution, which has important implications for radiative fluxes and indirect aerosol effects.
Jiamao Zhou, Jiarui Wu, Xiaoli Su, Ruonan Wang, Xia Li, Qian Jiang, Ting Zhang, Wenting Dai, Junji Cao, Xuexi Tie, and Guohui Li
EGUsphere, https://doi.org/10.5194/egusphere-2024-3468, https://doi.org/10.5194/egusphere-2024-3468, 2024
Short summary
Short summary
Brown carbon (BrC) is a type of airborne particle produced from various combustion sources which is light absorption. Historically, climate models have categorizing organic particles as either non-absorbing or purely reflective. Our study shows that BrC can reduce the usual cooling effect of organic particles. While BrC is often linked to biomass burning, however, BrC from fossil fuels contributes significantly to atmospheric heating.
Yanru Huo, Mingxue Li, Xueyu Wang, Jianfei Sun, Yuxin Zhou, Yuhui Ma, and Maoxia He
Atmos. Chem. Phys., 24, 12409–12423, https://doi.org/10.5194/acp-24-12409-2024, https://doi.org/10.5194/acp-24-12409-2024, 2024
Short summary
Short summary
This work found that the air–water (A–W) interface and TiO2 clusters promote the oxidation of phenolic compounds (PhCs) to varying degrees compared with the gas phase and bulk water. Some byproducts are more harmful than their parent compounds. This work provides important evidence for the rapid oxidation observed in O3/HO• + PhC experiments at the A–W interface and in mineral dust.
Sijia Lou, Manish Shrivastava, Alexandre Albinet, Sophie Tomaz, Deepchandra Srivastava, Olivier Favez, Huizhong Shen, and Aijun Ding
EGUsphere, https://doi.org/10.5194/egusphere-2024-3269, https://doi.org/10.5194/egusphere-2024-3269, 2024
Short summary
Short summary
PAHs, emitted from incomplete combustion, pose serious health risks due to their carcinogenic properties. This research demonstrates that viscous organic aerosol coatings significantly hinder PAH oxidation, with spatial distributions sensitive to the degradation modelling approach. Our findings underscore the importance of accurately modelling these processes for risk assessments, highlighting the need to consider both fresh and oxidized PAHs in evaluating human exposure and health risks.
Rémy Lapere, Louis Marelle, Pierre Rampal, Laurent Brodeau, Christian Melsheimer, Gunnar Spreen, and Jennie L. Thomas
Atmos. Chem. Phys., 24, 12107–12132, https://doi.org/10.5194/acp-24-12107-2024, https://doi.org/10.5194/acp-24-12107-2024, 2024
Short summary
Short summary
Elongated open-water areas in sea ice, called leads, can release marine aerosols into the atmosphere. In the Arctic, this source of atmospheric particles could play an important role for climate. However, the amount, seasonality and spatial distribution of such emissions are all mostly unknown. Here, we propose a first parameterization for sea spray aerosols emitted through leads in sea ice and quantify their impact on aerosol populations in the high Arctic.
Hanzheng Zhu, Yaman Liu, Man Yue, Shihui Feng, Pingqing Fu, Kan Huang, Xinyi Dong, and Minghuai Wang
EGUsphere, https://doi.org/10.5194/egusphere-2024-2293, https://doi.org/10.5194/egusphere-2024-2293, 2024
Short summary
Short summary
Dust soluble iron deposition from East Asia plays an important role in the marine ecology of the Northwest Pacific. Using the developed model, our findings highlight a dual trend: a decrease in the overall deposition of soluble iron from dust, but an increase in the solubility of the iron itself due to the enhanced atmospheric processing. It underscores the critical roles of both dust emission and atmospheric processing in soluble iron deposition and marine ecology.
Camilo Serrano Damha, Kyle Gorkowski, and Andreas Zuend
EGUsphere, https://doi.org/10.5194/egusphere-2024-2712, https://doi.org/10.5194/egusphere-2024-2712, 2024
Short summary
Short summary
Organic aerosol water content impacts the gas–particle partitioning of semivolatile organics. We used an aerosol thermodynamic model in the GEOS-Chem chemical transport model to efficiently account for organic aerosol water uptake and nonideal mixing. This led to a substantial enhancement in mean organic aerosol mass concentration with respect to GEOS-Chem's most advanced scheme. The water-sensitive scheme could be a valuable tool for reconciling model estimations and field measurements.
Haihui Zhu, Randall V. Martin, Aaron van Donkelaar, Melanie S. Hammer, Chi Li, Jun Meng, Christopher R. Oxford, Xuan Liu, Yanshun Li, Dandan Zhang, Inderjeet Singh, and Alexei Lyapustin
Atmos. Chem. Phys., 24, 11565–11584, https://doi.org/10.5194/acp-24-11565-2024, https://doi.org/10.5194/acp-24-11565-2024, 2024
Short summary
Short summary
Ambient fine particulate matter (PM2.5) contributes to 4 million deaths globally each year. Satellite remote sensing of aerosol optical depth (AOD), coupled with a simulated PM2.5–AOD relationship (η), can provide global PM2.5 estimations. This study aims to understand the spatial patterns and driving factors of η to guide future measurement and modeling efforts. We quantified η globally and regionally and found that its spatial variation is strongly influenced by aerosol composition.
Connor J. Clayton, Daniel R. Marsh, Steven T. Turnock, Ailish M. Graham, Kirsty J. Pringle, Carly L. Reddington, Rajesh Kumar, and James B. McQuaid
Atmos. Chem. Phys., 24, 10717–10740, https://doi.org/10.5194/acp-24-10717-2024, https://doi.org/10.5194/acp-24-10717-2024, 2024
Short summary
Short summary
We demonstrate that strong climate mitigation could improve air quality in Europe; however, less ambitious mitigation does not result in these co-benefits. We use a high-resolution atmospheric chemistry model. This allows us to demonstrate how this varies across European countries and analyse the underlying chemistry. This may help policy-facing researchers understand which sectors and regions need to be prioritised to achieve strong air quality co-benefits of climate mitigation.
Ping-Chieh Huang, Hui-Ming Hung, Hsin-Chih Lai, and Charles C.-K. Chou
Atmos. Chem. Phys., 24, 10759–10772, https://doi.org/10.5194/acp-24-10759-2024, https://doi.org/10.5194/acp-24-10759-2024, 2024
Short summary
Short summary
Models were used to study ways to reduce particulate matter (PM) pollution in Taiwan during winter. After considering various factors, such as physical processes and chemical reactions, we found that reducing NOx or NH3 emissions is more effective at mitigating PM2.5 than reducing SO2 emissions. When considering both efficiency and cost, reducing NH3 emissions seems to be a more suitable policy for the studied environment in Taiwan.
Matthieu Vida, Gilles Foret, Guillaume Siour, Florian Couvidat, Olivier Favez, Gaelle Uzu, Arineh Cholakian, Sébastien Conil, Matthias Beekmann, and Jean-Luc Jaffrezo
Atmos. Chem. Phys., 24, 10601–10615, https://doi.org/10.5194/acp-24-10601-2024, https://doi.org/10.5194/acp-24-10601-2024, 2024
Short summary
Short summary
We simulate 2 years of atmospheric fungal spores over France and use observations of polyols and primary biogenic factors from positive matrix factorisation. The representation of emissions taking into account a proxy for vegetation surface and specific humidity enables us to reproduce very accurately the seasonal cycle of fungal spores. Furthermore, we estimate that fungal spores can account for 20 % of PM10 and 40 % of the organic fraction of PM10 over vegetated areas in summer.
Jiewen Shen, Bin Zhao, Shuxiao Wang, An Ning, Yuyang Li, Runlong Cai, Da Gao, Biwu Chu, Yang Gao, Manish Shrivastava, Jingkun Jiang, Xiuhui Zhang, and Hong He
Atmos. Chem. Phys., 24, 10261–10278, https://doi.org/10.5194/acp-24-10261-2024, https://doi.org/10.5194/acp-24-10261-2024, 2024
Short summary
Short summary
We extensively compare various cluster-dynamics-based parameterizations for sulfuric acid–dimethylamine nucleation and identify a newly developed parameterization derived from Atmospheric Cluster Dynamic Code (ACDC) simulations as being the most reliable one. This study offers a valuable reference for developing parameterizations of other nucleation systems and is meaningful for the accurate quantification of the environmental and climate impacts of new particle formation.
Paul T. Griffiths, Laura J. Wilcox, Robert J. Allen, Vaishali Naik, Fiona M. O'Connor, Michael J. Prather, Alexander T. Archibald, Florence Brown, Makoto Deushi, William Collins, Stephanie Fiedler, Naga Oshima, Lee T. Murray, Christopher J. Smith, Steven T. Turnock, Duncan Watson-Parris, and Paul J. Young
EGUsphere, https://doi.org/10.5194/egusphere-2024-2528, https://doi.org/10.5194/egusphere-2024-2528, 2024
Short summary
Short summary
The Aerosol Chemistry Model Intercomparison Project (AerChemMIP) aimed to quantify the climate and air quality impacts of aerosols and chemically reactive gases. In this paper, we review its contribution to AR6, and the wider understanding of the role of these species in climate and climate change. We identify remaining challenges concluding with recommendations aimed to improve the utility and uptake of climate model data to address the role of short-lived climate forcers in the Earth system.
Wei Li and Yuxuan Wang
Atmos. Chem. Phys., 24, 9339–9353, https://doi.org/10.5194/acp-24-9339-2024, https://doi.org/10.5194/acp-24-9339-2024, 2024
Short summary
Short summary
Droughts immensely increased organic aerosol (OA) in the contiguous United States in summer (1998–2019), notably in the Pacific Northwest (PNW) and Southeast (SEUS). The OA rise in the SEUS is driven by the enhanced formation of epoxydiol-derived secondary organic aerosol due to the increase in biogenic volatile organic compounds and sulfate, while in the PNW, it is caused by wildfires. A total of 10 climate models captured the OA increase in the PNW yet greatly underestimated it in the SEUS.
Weina Zhang, Jianhua Mai, Zhichao Fan, Yongpeng Ji, Yuemeng Ji, Guiying Li, Yanpeng Gao, and Taicheng An
Atmos. Chem. Phys., 24, 9019–9030, https://doi.org/10.5194/acp-24-9019-2024, https://doi.org/10.5194/acp-24-9019-2024, 2024
Short summary
Short summary
This study reveals heterogeneous oxidation causes further radiative forcing effect (RFE) enhancement of amine–mineral mixed particles. Note that RFE increment is higher under clean conditions than that under polluted conditions, which is contributed to high-oxygen-content products. The enhanced RFE of amine–mineral particles caused by heterogenous oxidation is expected to alleviate warming effects.
Shenglan Jiang, Yan Zhang, Guangyuan Yu, Zimin Han, Junri Zhao, Tianle Zhang, and Mei Zheng
Atmos. Chem. Phys., 24, 8363–8381, https://doi.org/10.5194/acp-24-8363-2024, https://doi.org/10.5194/acp-24-8363-2024, 2024
Short summary
Short summary
This study aims to provide gridded data on sea-wide concentrations, deposition fluxes, and soluble deposition fluxes with detailed source categories of metals using the modified CMAQ model. We developed a monthly emission inventory of six metals – Fe, Al, V, Ni, Zn, and Cu – from terrestrial anthropogenic, ship, and dust sources in East Asia in 2017. Our results reveal the contribution of each source to the emissions, concentrations, and deposition fluxes of metals in the East Asian seas.
Stelios Myriokefalitakis, Matthias Karl, Kim A. Weiss, Dimitris Karagiannis, Eleni Athanasopoulou, Anastasia Kakouri, Aikaterini Bougiatioti, Eleni Liakakou, Iasonas Stavroulas, Georgios Papangelis, Georgios Grivas, Despina Paraskevopoulou, Orestis Speyer, Nikolaos Mihalopoulos, and Evangelos Gerasopoulos
Atmos. Chem. Phys., 24, 7815–7835, https://doi.org/10.5194/acp-24-7815-2024, https://doi.org/10.5194/acp-24-7815-2024, 2024
Short summary
Short summary
A state-of-the-art thermodynamic model has been coupled with the city-scale chemistry transport model EPISODE–CityChem to investigate the equilibrium between the inorganic gas and aerosol phases over the greater Athens area, Greece. The simulations indicate that the formation of nitrates in an urban environment is significantly affected by local nitrogen oxide emissions, as well as ambient temperature, relative humidity, photochemical activity, and the presence of non-volatile cations.
Rui Li, Yining Gao, Lijia Zhang, Yubing Shen, Tianzhao Xu, Wenwen Sun, and Gehui Wang
Atmos. Chem. Phys., 24, 7623–7636, https://doi.org/10.5194/acp-24-7623-2024, https://doi.org/10.5194/acp-24-7623-2024, 2024
Short summary
Short summary
A three-stage model was developed to obtain the global maps of reactive nitrogen components during 2000–2100. The results implied that cross-validation R2 values of four species showed satisfactory performance (R2 > 0.55). Most reactive nitrogen components, except NH3, in China showed increases during 2000–2013. In the future scenarios, SSP3-7.0 (traditional-energy scenario) and SSP1-2.6 (carbon neutrality scenario) showed the highest and lowest reactive nitrogen component concentrations.
Fei Ye, Jingyi Li, Yaqin Gao, Hongli Wang, Jingyu An, Cheng Huang, Song Guo, Keding Lu, Kangjia Gong, Haowen Zhang, Momei Qin, and Jianlin Hu
Atmos. Chem. Phys., 24, 7467–7479, https://doi.org/10.5194/acp-24-7467-2024, https://doi.org/10.5194/acp-24-7467-2024, 2024
Short summary
Short summary
Naphthalene (Nap) and methylnaphthalene (MN) are key precursors of secondary organic aerosol (SOA), yet their sources and sinks are often inadequately represented in air quality models. In this study, we incorporated detailed emissions, gas-phase chemistry, and SOA parameterization of Nap and MN into CMAQ to address this issue. The findings revealed remarkably high SOA formation potentials for these compounds despite their low emissions in the Yangtze River Delta region during summer.
Vy Dinh Ngoc Thuy, Jean-Luc Jaffrezo, Ian Hough, Pamela A. Dominutti, Guillaume Salque Moreton, Grégory Gille, Florie Francony, Arabelle Patron-Anquez, Olivier Favez, and Gaëlle Uzu
Atmos. Chem. Phys., 24, 7261–7282, https://doi.org/10.5194/acp-24-7261-2024, https://doi.org/10.5194/acp-24-7261-2024, 2024
Short summary
Short summary
The capacity of particulate matter (PM) to generate reactive oxygen species in vivo is represented by oxidative potential (OP). This study focuses on finding the appropriate model to evaluate the oxidative character of PM sources in six sites using the PM sources and OP. Eight regression techniques are introduced to assess the OP of PM. The study highlights the importance of selecting a model according to the input data characteristics and establishes some recommendations for the procedure.
Ming Chu, Xing Wei, Shangfei Hai, Yang Gao, Huiwang Gao, Yujiao Zhu, Biwu Chu, Nan Ma, Juan Hong, Yele Sun, and Xiaohong Yao
Atmos. Chem. Phys., 24, 6769–6786, https://doi.org/10.5194/acp-24-6769-2024, https://doi.org/10.5194/acp-24-6769-2024, 2024
Short summary
Short summary
We used a 20-bin WRF-Chem model to simulate NPF events in the NCP during a three-week observational period in the summer of 2019. The model was able to reproduce the observations during June 29–July 6, which was characterized by a high frequency of NPF occurrence.
Haoqi Wang, Xiao Tian, Wanting Zhao, Jiacheng Li, Haoyu Yu, Yinchang Feng, and Shaojie Song
Atmos. Chem. Phys., 24, 6583–6592, https://doi.org/10.5194/acp-24-6583-2024, https://doi.org/10.5194/acp-24-6583-2024, 2024
Short summary
Short summary
pH is a key property of ambient aerosols, which affect many atmospheric processes. As aerosol pH is a non-conservative parameter, diverse averaging metrics and temporal resolutions may influence the pH values calculated by thermodynamic models. This technical note seeks to quantitatively evaluate the average pH using varied metrics and resolutions. The ultimate goal is to establish standardized reporting practices in future research endeavors.
Jiwon Choi, Myoseon Jang, and Spencer Blau
Atmos. Chem. Phys., 24, 6567–6582, https://doi.org/10.5194/acp-24-6567-2024, https://doi.org/10.5194/acp-24-6567-2024, 2024
Short summary
Short summary
Persistent phenoxy radical (PPR), formed by phenol gas oxidation and its aqueous reaction, catalytically destroys O3 and retards secondary organic aerosol (SOA) growth. Explicit gas mechanisms including the formation of PPR and low-volatility products from the oxidation of phenol or benzene are applied to the UNIPAR model to predict SOA mass via multiphase reactions of precursors. Aqueous reactions of reactive organics increase SOA mass but retard SOA growth via heterogeneously formed PPR.
Yang Yang, Shaoxuan Mou, Hailong Wang, Pinya Wang, Baojie Li, and Hong Liao
Atmos. Chem. Phys., 24, 6509–6523, https://doi.org/10.5194/acp-24-6509-2024, https://doi.org/10.5194/acp-24-6509-2024, 2024
Short summary
Short summary
The variations in anthropogenic aerosol concentrations and source contributions and their subsequent radiative impact in major emission regions during historical periods are quantified based on an aerosol-tagging system in E3SMv1. Due to the industrial development and implementation of economic policies, sources of anthropogenic aerosols show different variations, which has important implications for pollution prevention and control measures and decision-making for global collaboration.
Maegan A. DeLessio, Kostas Tsigaridis, Susanne E. Bauer, Jacek Chowdhary, and Gregory L. Schuster
Atmos. Chem. Phys., 24, 6275–6304, https://doi.org/10.5194/acp-24-6275-2024, https://doi.org/10.5194/acp-24-6275-2024, 2024
Short summary
Short summary
This study presents the first explicit representation of brown carbon aerosols in the GISS ModelE Earth system model (ESM). Model sensitivity to a range of brown carbon parameters and model performance compared to AERONET and MODIS retrievals of total aerosol properties were assessed. A summary of best practices for incorporating brown carbon into ModelE is also included.
Chuanyang Shen, Xiaoyan Yang, Joel Thornton, John Shilling, Chenyang Bi, Gabriel Isaacman-VanWertz, and Haofei Zhang
Atmos. Chem. Phys., 24, 6153–6175, https://doi.org/10.5194/acp-24-6153-2024, https://doi.org/10.5194/acp-24-6153-2024, 2024
Short summary
Short summary
In this work, a condensed multiphase isoprene oxidation mechanism was developed to simulate isoprene SOA formation from chamber and field studies. Our results show that the measured isoprene SOA mass concentrations can be reasonably reproduced. The simulation results indicate that multifunctional low-volatility products contribute significantly to total isoprene SOA. Our findings emphasize that the pathways to produce these low-volatility species should be considered in models.
Alice Maison, Lya Lugon, Soo-Jin Park, Alexia Baudic, Christopher Cantrell, Florian Couvidat, Barbara D'Anna, Claudia Di Biagio, Aline Gratien, Valérie Gros, Carmen Kalalian, Julien Kammer, Vincent Michoud, Jean-Eudes Petit, Marwa Shahin, Leila Simon, Myrto Valari, Jérémy Vigneron, Andrée Tuzet, and Karine Sartelet
Atmos. Chem. Phys., 24, 6011–6046, https://doi.org/10.5194/acp-24-6011-2024, https://doi.org/10.5194/acp-24-6011-2024, 2024
Short summary
Short summary
This study presents the development of a bottom-up inventory of urban tree biogenic emissions. Emissions are computed for each tree based on their location and characteristics and are integrated in the regional air quality model WRF-CHIMERE. The impact of these biogenic emissions on air quality is quantified for June–July 2022. Over Paris city, urban trees increase the concentrations of particulate organic matter by 4.6 %, of PM2.5 by 0.6 %, and of ozone by 1.0 % on average over 2 months.
Tommaso Galeazzo, Bernard Aumont, Marie Camredon, Richard Valorso, Yong B. Lim, Paul J. Ziemann, and Manabu Shiraiwa
Atmos. Chem. Phys., 24, 5549–5565, https://doi.org/10.5194/acp-24-5549-2024, https://doi.org/10.5194/acp-24-5549-2024, 2024
Short summary
Short summary
Secondary organic aerosol (SOA) derived from n-alkanes is a major component of anthropogenic particulate matter. We provide an analysis of n-alkane SOA by chemistry modeling, machine learning, and laboratory experiments, showing that n-alkane SOA adopts low-viscous semi-solid or liquid states. Our results indicate few kinetic limitations of mass accommodation in SOA formation, supporting the application of equilibrium partitioning for simulating n-alkane SOA in large-scale atmospheric models.
Lukáš Bartík, Peter Huszár, Jan Karlický, Ondřej Vlček, and Kryštof Eben
Atmos. Chem. Phys., 24, 4347–4387, https://doi.org/10.5194/acp-24-4347-2024, https://doi.org/10.5194/acp-24-4347-2024, 2024
Short summary
Short summary
The presented study deals with the attribution of fine particulate matter (PM2.5) concentrations to anthropogenic emissions over Central Europe using regional-scale models. It calculates the present-day contributions of different emissions sectors to concentrations of PM2.5 and its secondary components. Moreover, the study investigates the effect of chemical nonlinearities by using multiple source attribution methods and secondary organic aerosol calculation methods.
Rui Wang, Yang Cheng, Shasha Chen, Rongrong Li, Yue Hu, Xiaokai Guo, Tianlei Zhang, Fengmin Song, and Hao Li
Atmos. Chem. Phys., 24, 4029–4046, https://doi.org/10.5194/acp-24-4029-2024, https://doi.org/10.5194/acp-24-4029-2024, 2024
Short summary
Short summary
We used quantum chemical calculations, Born–Oppenheimer molecular dynamics simulations, and the ACDC kinetic model to characterize SO3–H2SO4 interaction in the gas phase and at the air–water interface and to study the effect of H2S2O7 on H2SO4–NH3-based clusters. The work expands our understanding of new pathways for the loss of SO3 in acidic polluted areas and helps reveal some missing sources of NPF in metropolitan industrial regions and understand the atmospheric organic–sulfur cycle better.
Hao Yang, Lei Chen, Hong Liao, Jia Zhu, Wenjie Wang, and Xin Li
Atmos. Chem. Phys., 24, 4001–4015, https://doi.org/10.5194/acp-24-4001-2024, https://doi.org/10.5194/acp-24-4001-2024, 2024
Short summary
Short summary
The present study quantifies the response of aerosol–radiation interaction (ARI) to anthropogenic emission reduction from 2013 to 2017, with the main focus on the contribution to changed O3 concentrations over eastern China both in summer and winter using the WRF-Chem model. The weakened ARI due to decreased anthropogenic emission aggravates the summer (winter) O3 pollution by +0.81 ppb (+0.63 ppb), averaged over eastern China.
Margaret R. Marvin, Paul I. Palmer, Fei Yao, Mohd Talib Latif, and Md Firoz Khan
Atmos. Chem. Phys., 24, 3699–3715, https://doi.org/10.5194/acp-24-3699-2024, https://doi.org/10.5194/acp-24-3699-2024, 2024
Short summary
Short summary
We use an atmospheric chemistry model to investigate aerosols emitted from fire activity across Southeast Asia. We find that the limited nature of measurements in this region leads to large uncertainties that significantly hinder the model representation of these aerosols and their impacts on air quality. As a result, the number of monthly attributable deaths is underestimated by as many as 4500, particularly in March at the peak of the mainland burning season.
Cited articles
Abbey, D. E., Ostro, B. E., Petersen, F., and Burchette, R. J.: Chronic
respiratory symptoms associated with estimated long-term ambient
concentrations of fine particulates less than 2.5 microns in aerodynamic
diameter (PM2.5) and other air pollutants, J. Expo. Anal. Environ.
Epidemiol., 5, 137–159, 1995.
Alexander, B., Park, R. J., Jacob, D. J., Li, Q. B., Yantosca, R. M.,
Savarino, J., Lee, C. C. W., and Thiemens, M. H.: Sulfate formation in
sea-salt aerosols: Constraints from oxygen isotopes, J. Geophys. Res., 110,
D10307, https://doi.org/10.1029/2004JD005659, 2005.
Anenberg, S. C., Horowitz, L. W., Tong, D. Q., and West, J. J.: An Estimate
of the Global Burden of Anthropogenic Ozone and Fine Particulate Matter on
Premature Human Mortality Using Atmospheric Modeling, Environ. Health Persp.,
118, 1189–1195, https://doi.org/10.1289/ehp.0901220, 2010.
Apte, J. S., Marshall, J. D., Cohen, A. J., and Brauer, M.: Addressing Global
Mortality from Ambient PM2.5 – Environmental Science & Technology
(ACS Publications), Environ. Sci. Technol., 49, 8057–8066, 2015.
Aunan, K. and Pan, X.-C.: Exposure-response functions for health effects of
ambient air pollution applicable for China – a meta-analysis, Sci. Total
Environ., 329, 3–16, https://doi.org/10.1016/j.scitotenv.2004.03.008, 2004.
Beelen, R., Hoek, G., van den Brandt, P. A., Goldbohm, R. A., Fischer, P.,
Schouten, L. J., Jerrett, M., Hughes, E., Armstrong, B., and Brunekreef, B.:
Long-Term Effects of Traffic-Related Air Pollution on Mortality in a Dutch
Cohort (NLCS-AIR Study), Environ. Health Persp., 116, 196–202,
https://doi.org/10.1289/ehp.10767, 2008.
Benkovitz, C. M., Scholtz, M. T., Pacyna, J., Tarrason, L., Dignon, J.,
Voldner, E. C., Spiro, P. A., Logan, J. A., and Graedel, T. E.: Global
gridded inventories of anthropogenic emissions of sulfur and nitrogen, J.
Geophys. Res.-Atmos., 101, 29239–29253, 1996.
Bibi, H., Alam, K., Chishtie, F., Bibi, S., Shahid, I., and Blaschke, T.:
Intercomparison of MODIS, MISR, OMI, and CALIPSO aerosol optical depth
retrievals for four locations on the Indo-Gangetic plains and validation
against AERONET data, Atmos. Environ., 111, 113–126,
https://doi.org/10.1016/j.atmosenv.2015.04.013, 2015.
Brauer, M., Amann, M., Burnett, R. T., Cohen, A., Dentener, F., Ezzati, M.,
Henderson, S. B., Krzyzanowski, M., Martin, R. V., Van Dingenen, R., van
Donkelaar, A., and Thurston, G. D.: Exposure assessment for estimation of the
global burden of disease attributable to outdoor air pollution, Environ. Sci.
Technol., 46, 652–660, https://doi.org/10.1021/es2025752, 2012.
Brauer, M., Freedman, G., Frostad, J., van Donkelaar, A., Martin, R. V.,
Dentener, F., Dingenen, R. van, Estep, K., Amini, H., Apte, J. S.,
Balakrishnan, K., Barregard, L., Broday, D., Feigin, V., Ghosh, S., Hopke, P.
K., Knibbs, L. D., Kokubo, Y., Liu, Y., Ma, S., Morawska, L., Sangrador, J.
L. T., Shaddick, G., Anderson, H. R., Vos, T., Forouzanfar, M. H., Burnett,
R. T., and Cohen, A.: Ambient Air Pollution Exposure Estimation for the
Global Burden of Disease 2013, Environ. Sci. Technol., 50, 79–88,
https://doi.org/10.1021/acs.est.5b03709, 2016.
Burnett, R. T., Pope, C. A., III, Ezzati, M., Olives, C., Lim, S. S., Mehta,
S., Shin, H. H., Singh, G., Hubbell, B., Brauer, M., Anderson, H. R., Smith,
K. R., Balmes, J. R., Bruce, N. G., Kan, H., Laden, F., Prüss-Ustün,
A., Turner, M. C., Gapstur, S. M., Diver, W. R., and Cohen, A.: An Integrated
Risk Function for Estimating the Global Burden of Disease Attributable to
Ambient Fine Particulate Matter Exposure, Environ. Health Persp., 122,
397–403, https://doi.org/10.1289/ehp.1307049, 2014.
Carey, I. M., Atkinson, R. W., Kent, A. J., van Staa, T., Cook, D. G., and
Anderson, H. R.: Mortality Associations with Long-Term Exposure to Outdoor
Air Pollution in a National English Cohort, Am. J. Respir. Crit. Care Med.,
187, 1226–1233, https://doi.org/10.1164/rccm.201210-1758OC, 2013.
Cesaroni, G., Badaloni, C., Gariazzo, C., Stafoggia, M., Sozzi, R., Davoli,
M., and Forastiere, F.: Long-term exposure to urban air pollution and
mortality in a cohort of more than a million adults in Rome, Environ. Health
Perspect., 121, 324–331, https://doi.org/10.1289/ehp.1205862, 2013.
Chen, H. and Goldberg, M. S.: The effects of outdoor air pollution on chronic
illnesses, McGill J. Med. MJM, 12, 58–64, 2009.
Chen, H., Goldberg, M. S., and Villeneuve, P. J.: A systematic review of the
relation between long-term exposure to ambient air pollution and chronic
diseases, Rev. Environ. Health, 23, 243–297, 2008.
Chen, L. H., Knutsen, S. F., Shavlik, D., Beeson, W. L., Petersen, F.,
Ghamsary, M. and Abbey, D.: The Association between Fatal Coronary Heart
Disease and Ambient Particulate Air Pollution: Are Females at Greater Risk?,
Environ. Health Perspect., 113, 1723–1729, https://doi.org/10.1289/ehp.8190, 2005.
Chen, W., Zheng, R., Zhang, S., Zhao, P., Li, G., Wu, L., and He, J.: The
incidences and mortalities of major cancers in China, 2009, Chin. J. Cancer,
32, 106–112, https://doi.org/10.5732/cjc.013.10018, 2013a.
Chen, Y., Ebenstein, A., Greenstone, M., and Li, H.: Evidence on the impact
of sustained exposure to air pollution on life expectancy from China's Huai
River policy, P. Natl. Acad. Sci., 110, 12936–12941,
https://doi.org/10.1073/pnas.1300018110, 2013b.
Cheng, T., Chen, H., Gu, X., Yu, T., Guo, J., and Guo, H.: The
inter-comparison of MODIS, MISR and GOCART aerosol products against AERONET
data over China, J. Quant. Spectrosc. Ra., 113, 2135–2145,
https://doi.org/10.1016/j.jqsrt.2012.06.016, 2012.
Cohen, A. J., Anderson, H. R., Ostro, B., Pandey, K. D., Krzyzanowski, M.,
Künzli, N., Gutschmidt, K., Pope III, C. A., Romieu, I., Samet, J. M.,
and Smith, K. R.: Urban air pollution, in Comparative Quantification of
Health Risks: Global and Regional Burden of Disease Attributable to Selected
Major Risk Factors, Vol. 1, edited by: Ezzati, M., Lopez, A. D., Rodgers, A.,
and Murray, C. J. L., 1353–1434, World Health Organization, Geneva, 2004.
Cohen, A. J., Ross Anderson, H., Ostro, B., Pandey, K. D., Krzyzanowski, M.,
Künzli, N., Gutschmidt, K., Pope, A., Romieu, I., Samet, J. M., and
Smith, K.: The global burden of disease due to outdoor air pollution, J.
Toxicol. Environ. Heal. A, 68, 1301–1307, https://doi.org/10.1080/15287390590936166,
2005.
Cooke, W. F., Liousse, C., Cachier, H., and Feichter, J.: Construction of a
1° × 1° fossil fuel emission data set for
carbonaceous aerosol and implementation and radiative impact in the ECHAM4
model, J. Geophys. Res., 104, 22137–22162, https://doi.org/10.1029/1999JD900187, 1999.
Crouse, D. L., Peters, P. A., van Donkelaar, A., Goldberg, M. S., Villeneuve,
P. J., Brion, O., Khan, S., Atari, D. O., Jerrett, M., Pope, C. A., Brauer,
M., Brook, J. R., Martin, R. V., Stieb, D., and Burnett, R. T.: Risk of
Nonaccidental and Cardiovascular Mortality in Relation to Long-term Exposure
to Low Concentrations of Fine Particulate Matter: A Canadian National-Level
Cohort Study, Environ. Health Persp., 120, 708–714, https://doi.org/10.1289/ehp.1104049,
2012.
Dobson, J. E., Bright, E. A., Coleman, P. R., Durfee, R. C., and Worley, B. A.:
LandScan: A Global Population Database for Estimating Populations at Risk, Photogramm. Eng. Remote Sens., 66, 849–857, 2000.
Dockery, D. W., Pope, C. A., Xu, X., Spengler, J. D., Ware, J. H., Fay, M.
E., Ferris, B. G., and Speizer, F. E.: An association between air pollution
and mortality in six U.S. cities, N. Engl. J. Med., 329, 1753–1759,
https://doi.org/10.1056/NEJM199312093292401, 1993.
Dominici, F., Daniels, M., McDermott, A., Zeger, S. L., and Samet, J.: Shape
of the exposure – response relation and mortality displacement in the NMMAPS
database, in: Revised Analyses of Time-Series of Air Pollution and Health,
Special Report. Health Effects Institute, Boston, MA, 91–96, 2003.
Eftim, S. E., Samet, J. M., Janes, H., McDermott, A., and Dominici, F.: Fine
particulate matter and mortality: a comparison of the six cities and American
Cancer Society cohorts with a medicare cohort, Epidemiol. Camb. Mass, 19,
209–216, https://doi.org/10.1097/EDE.0b013e3181632c09, 2008.
Enstrom, J. E.: Fine particulate air pollution and total mortality among
elderly Californians, 1973–2002, Inhal. Toxicol., 17, 803–816,
https://doi.org/10.1080/08958370500240413, 2005.
Evans, J., van Donkelaar, A., Martin, R. V., Burnett, R., Rainham, D. G.,
Birkett, N. J., and Krewski, D.: Estimates of global mortality attributable
to particulate air pollution using satellite imagery, Environ. Res., 120,
33–42, https://doi.org/10.1016/j.envres.2012.08.005, 2013.
Fairlie, D. T., Jacob, D. J., and Park, R. J.: The impact of transpacific
transport of mineral dust in the United States, Atmos. Environ., 41,
1251–1266, https://doi.org/10.1016/j.atmosenv.2006.09.048, 2007.
Fang, Y., Naik, V., Horowitz, L. W., and Mauzerall, D. L.: Air pollution and
associated human mortality: the role of air pollutant emissions, climate
change and methane concentration increases from the preindustrial period to
present, Atmos. Chem. Phys., 13, 1377–1394, https://doi.org/10.5194/acp-13-1377-2013,
2013.
Fann, N., Lamson, A. D., Anenberg, S. C., Wesson, K., Risley, D., and
Hubbell, B. J.: Estimating the National Public Health Burden Associated with
Exposure to Ambient PM2.5 and Ozone, Risk Anal., 32, 81–95,
https://doi.org/10.1111/j.1539-6924.2011.01630.x, 2012.
Fann, N., Fulcher, C. M., and Baker, K.: The Recent and Future Health Burden
of Air Pollution Apportioned Across U.S. Sectors, Environ. Sci. Technol., 47,
3580–3589, https://doi.org/10.1021/es304831q, 2013.
Ford, B. and Heald, C. L.: An A-train and model perspective on the vertical
distribution of aerosols and CO in the Northern Hemisphere, J. Geophys. Res.,
117, D06211, https://doi.org/10.1029/2011JD016977, 2012.
Ford, B. and Heald, C. L.: Aerosol loading in the Southeastern United States:
reconciling surface and satellite observations, Atmos. Chem. Phys., 13,
9269–9283, https://doi.org/10.5194/acp-13-9269-2013, 2013.
Franklin, M., Zeka, A. and Schwartz, J.: Association between PM2.5 and
all-cause and specific-cause mortality in 27 US communities, J. Expo. Sci.
Environ. Epidemiol., 17, 279–287, 2007.
Fu, J., Jiang, D., Lin, G., Liu, K., and Wang, Q.: An ecological analysis of
PM2.5 concentrations and lung cancer mortality rates in China, BMJ Open,
5, e009452, https://doi.org/10.1136/bmjopen-2015-009452, 2015.
Giannadaki, D., Pozzer, A., and Lelieveld, J.: Modeled global effects of
airborne desert dust on air quality and premature mortality, Atmos. Chem.
Phys., 14, 957–968, https://doi.org/10.5194/acp-14-957-2014, 2014.
Goss, C. H., Newsom, S. A., Schildcrout, J. S., Sheppard, L., and Kaufman, J.
D.: Effect of ambient air pollution on pulmonary exacerbations and lung
function in cystic fibrosis, Am. J. Respir. Crit. Care Med., 169, 816–821,
https://doi.org/10.1164/rccm.200306-779OC, 2004.
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.
Hamra, G. B., Guha, N., Cohen, A., Laden, F., Raaschou-Nielsen, O., Samet, J.
M., Vineis, P., Forastiere, F., Saldiva, P., Yorifuji, T., and Loomis, D.:
Outdoor Particulate Matter Exposure and Lung Cancer: A Systematic Review and
Meta-Analysis, Environ. Health Perspect., 122, 906–911,
https://doi.org/10.1289/ehp.1408092, 2014.
Hand, J. L., Schichtel, B. A., Pitchford, M., Malm, W. C., and Frank, N. H.:
Seasonal composition of remote and urban fine particulate matter in the
United States, J. Geophys. Res., 117, D05209, https://doi.org/10.1029/2011JD017122, 2012.
Hart, J. E., Garshick, E., Dockery, D. W., Smith, T. J., Ryan, L., and Laden,
F.: Long-term ambient multipollutant exposures and mortality, Am. J. Resp.
Crit. Care, 183, 73–78, https://doi.org/10.1164/rccm.200912-1903OC, 2011.
Heald, C. L., Collett Jr., J. L., Lee, T., Benedict, K. B., Schwandner, F.
M., Li, Y., Clarisse, L., Hurtmans, D. R., Van Damme, M., Clerbaux, C.,
Coheur, P.-F., Philip, S., Martin, R. V., and Pye, H. O. T.: Atmospheric
ammonia and particulate inorganic nitrogen over the United States, Atmos.
Chem. Phys., 12, 10295–10312, https://doi.org/10.5194/acp-12-10295-2012, 2012.
Henze, D. K., Seinfeld, J. H., Ng, N. L., Kroll, J. H., Fu, T.-M., Jacob, D.
J., and Heald, C. L.: Global modeling of secondary organic aerosol formation
from aromatic hydrocarbons: high- vs. low-yield pathways, Atmos. Chem. Phys.,
8, 2405–2420, https://doi.org/10.5194/acp-8-2405-2008, 2008.
Hoek, G., Krishnan, R. M., Beelen, R., Peters, A., Ostro, B., Brunekreef, B.,
and Kaufman, J. D.: Long-term air pollution exposure and cardio-respiratory
mortality: a review, Environ. Health, 27, 43, https://doi.org/10.1186/1476-069X-12-43,
2013.
Holben, B. N., Eck, T. F., Slutsker, I., Tanré, D., Buis, J. P., Setzer,
A., Vermote, E., Reagan, J. A., Kaufman, Y. J., Nakajima, T., Lavenu, F.,
Jankowiak, I., and Smirnov, A.: AERONET – A Federated Instrument Network and
Data Archive for Aerosol Characterization, Remote Sens. Environ., 66, 1–16,
https://doi.org/10.1016/S0034-4257(98)00031-5, 1998.
Hubbell, B., Fann, N., and Levy, J. I.: Methodological considerations in
developing local-scale health impact assessments: balancing national,
regional, and local data, Air Qual. Atmosphere Health, 2, 99–110,
https://doi.org/10.1007/s11869-009-0037-z, 2009.
Hudman, R. C., Jacob, D. J., Turquety, S., Leibensperger, E. M., Murray, L.
T., Wu, S., Gilliland, A. B., Avery, M., Bertram, T. H., Brune, W., Cohen, R.
C., Dibb, J. E., Flocke, F. M., Fried, A., Holloway, J., Neuman, J. A.,
Orville, R., Perring, A., Ren, X., Sachse, G. W., Singh, H. B., Swanson, A.,
and Wooldridge, P. J.: Surface and lightning sources of nitrogen oxides over
the United States: Magnitudes, chemical evolution, and outflow, J. Geophys.
Res., 112, D12S05, https://doi.org/10.1029/2006JD007912, 2007.
Hudman, R. C., Murray, L. T., Jacob, D. J., Millet, D. B., Turquety, S., Wu,
S., Blake, D. R., Goldstein, A. H., Holloway, J., and Sachse, G. W.: Biogenic
versus anthropogenic sources of CO in the United States, Geophys. Res. Lett.,
35, L04801, https://doi.org/10.1029/2007GL032393, 2008.
Hystad, P., Demers, P. A., Johnson, K. C., Brook, J., Donkelaar, A. van,
Lamsal, L., Martin, R., and Brauer, M.: Spatiotemporal air pollution exposure
assessment for a Canadian population-based lung cancer case-control study,
Environ. Health, 11, 22, https://doi.org/10.1186/1476-069X-11-22, 2012.
Jerrett, M., Arain, A., Kanaroglou, P., Beckerman, B., Potoglou, D.,
Sahsuvaroglu, T., Morrison, J., and Giovis, C.: A review and evaluation of
intraurban air pollution exposure models, J. Expo. Anal. Env. Epid., 15,
185–204, https://doi.org/10.1038/sj.jea.7500388, 2005a.
Jerrett, M., Burnett, R. T., Ma, R., Pope, C. A., 3rd, Krewski, D., Newbold,
K. B., Thurston, G., Shi, Y., Finkelstein, N., Calle, E. E., and Thun, M. J.:
Spatial analysis of air pollution and mortality in Los Angeles, Epidemiol.
Camb. Mass, 16, 727–736, 2005b.
Jerrett, M., Burnett, R. T., Beckerman, B. S., Turner, M. C., Krewski, D.,
Thurston, G., Martin, R. V., van Donkelaar, A., Hughes, E., Shi, Y., Gapstur,
S. M., Thun, M. J., and Pope, C. A.: Spatial Analysis of Air Pollution and
Mortality in California, Am. J. Respir. Crit. Care, 188, 593–599,
https://doi.org/10.1164/rccm.201303-0609OC, 2013.
Jiang, X., Liu, Y., Yu, B., and Jiang, M.: Comparison of MISR aerosol optical
thickness with AERONET measurements in Beijing metropolitan area, Remote
Sens. Environ., 107, 45–53, 2007.
Kahn, R. A., Gaitley, B. J., Martonchik, J. V., Diner, D. J., Crean, K. A.,
and Holben, B.: Multiangle Imaging Spectroradiometer (MISR) global aerosol
optical depth validation based on 2 years of coincident Aerosol Robotic
Network (AERONET) observations, J. Geophys. Res.-Atmos., 110, D10S04,
https://doi.org/10.1029/2004JD004706, 2005.
Kahn, R. A., Gaitley, B. J., Garay, M. J., Diner, D. J., Eck, T. F., Smirnov,
A., and Holben, B. N.: Multiangle Imaging SpectroRadiometer global aerosol
product assessment by comparison with the Aerosol Robotic Network, J.
Geophys. Res.-Atmos., 115, D23209, https://doi.org/10.1029/2010JD014601, 2010.
Katanoda, K., Sobue, T., Satoh, H., Tajima, K., Suzuki, T., Nakatsuka, H.,
Takezaki, T., Nakayama, T., Nitta, H., Tanabe, K., and Tominaga, S.: An
association between long-term exposure to ambient air pollution and mortality
from lung cancer and respiratory diseases in Japan, J. Epidemiol. Jpn.
Epidemiol. Assoc., 21, 132–143, 2011.
Krewski, D., Burnett, R. T., Goldberg, M. S., Hoover, K., Siemiatyckis, J.,
Jerrett, M., Abrahamowicz, M., and White, W. H.: Reanalysis of the Harvard
Six Cities Study and the American Cancer Society Study of Particulate Air
Pollution and Mortality, Health Effect's Institute, Cambride, MA, 2000.
Krewski, D., Jerrett, M., Burnett, R. T., Ma, R., Hughes, E., Shi, Y.,
Turner, M. C., Pope, C. A., Thurston, G., Calle, E. E., Thun, M. J.,
Beckerman, B., DeLuca, P., Finkelstein, N., Ito, K., Moore, D. K., Newbold,
K. B., Ramsay, T., Ross, Z., Shin, H., and Tempalski, B.: Extended follow-up
and spatial analysis of the American Cancer Society study linking particulate
air pollution and mortality, Res. Rep. Health Eff. Inst., 140, 5–114,
115–136, 2009.
Kuhns, H., Green, M., and Etyemezian, V.: Big Bend Regional Aerosol and
Visibility Observational (BRAVO) Study Emissions Inventory, Report prepared
for BRAVO Steering Committee, Desert Research Institute, Las Vegas, Nevada,
2003.
Künzli, N., Medina, S., Kaiser, R., Quénel, P., Horak, F., and
Studnicka, M.: Assessment of Deaths Attributable to Air Pollution: Should We
Use Risk Estimates based on Time Series or on Cohort Studies?, Am. J.
Epidemiol., 153, 1050–1055, https://doi.org/10.1093/aje/153.11.1050, 2001.
Künzli, N., Jerrett, M., Mack, W. J., Beckerman, B., LaBree, L.,
Gilliland, F., Thomas, D., Peters, J., and Hodis, H. N.: Ambient air
pollution and atherosclerosis in Los Angeles, Environ. Health Perspect., 113,
201–206, 2005.
Laden, F., Schwartz, J., Speizer, F. E., and Dockery, D. W.: Reduction in
Fine Particulate Air Pollution and Mortality, Am. J. Respir. Crit. Care, 173,
667–672, https://doi.org/10.1164/rccm.200503-443OC, 2006.
Leibensperger, E. M., Mickley, L. J., Jacob, D. J., Chen, W.-T., Seinfeld, J.
H., Nenes, A., Adams, P. J., Streets, D. G., Kumar, N., and Rind, D.:
Climatic effects of 1950–2050 changes in US anthropogenic aerosols – Part
1: Aerosol trends and radiative forcing, Atmos. Chem. Phys., 12, 3333–3348,
https://doi.org/10.5194/acp-12-3333-2012, 2012.
Lelieveld, J., Barlas, C., Giannadaki, D., and Pozzer, A.: Model calculated
global, regional and megacity premature mortality due to air pollution,
Atmos. Chem. Phys., 13, 7023–7037, https://doi.org/10.5194/acp-13-7023-2013, 2013.
Lelieveld, J., Evans, J. S., Fnais, M., Giannadaki, D., and Pozzer, A.: The
contribution of outdoor air pollution sources to premature mortality on a
global scale, Nature, 525, 367–371, https://doi.org/10.1038/nature15371, 2015.
Lepeule, J., Laden, F., Dockery, D., and Schwartz, J.: Chronic exposure to
fine particles and mortality: an extended follow-up of the Harvard Six Cities
study from 1974 to 2009, Environ. Health Persp., 120, 965–970,
https://doi.org/10.1289/ehp.1104660, 2012.
Levy, R. C., Remer, L. A., Kleidman, R. G., Mattoo, S., Ichoku, C., Kahn, R.,
and Eck, T. F.: Global evaluation of the Collection 5 MODIS dark-target
aerosol products over land, Atmos. Chem. Phys., 10, 10399–10420,
https://doi.org/10.5194/acp-10-10399-2010, 2010.
Levy, R. C., Mattoo, S., Munchak, L. A., Remer, L. A., Sayer, A. M., Patadia,
F., and Hsu, N. C.: The Collection 6 MODIS aerosol products over land and
ocean, Atmos. Meas. Tech., 6, 2989–3034, https://doi.org/10.5194/amt-6-2989-2013, 2013.
Li, J., Carlson, B. E., and Lacis, A. A.: How well do satellite AOD
observations represent the spatial and temporal variability of PM2.5
concentration for the United States?, Atmos. Environ., 102, 260–273,
https://doi.org/10.1016/j.atmosenv.2014.12.010, 2015.
Lipfert, F. W., Baty, J. D., Miller, J. P., and Wyzga, R. E.: PM2.5
Constituents and Related Air Quality Variables As Predictors of Survival in a
Cohort of U.S. Military Veterans, Inhal. Toxicol., 18, 645–657,
https://doi.org/10.1080/08958370600742946, 2006.
Lipsett, M. J., Ostro, B. D., Reynolds, P., Goldberg, D., Hertz, A., Jerrett,
M., Smith, D. F., Garcia, C., Chang, E. T., and Bernstein, L.: Long-Term
Exposure to Air Pollution and Cardiorespiratory Disease in the California
Teachers Study Cohort, Am. J. Respir. Crit. Care, 184, 828–835,
https://doi.org/10.1164/rccm.201012-2082OC, 2011.
Liu, Y., Park, R. J., Jacob, D. J., Li, Q., Kilaru, V., and Sarnat, J. A.:
Mapping annual mean ground-level PM2.5 concentrations using Multiangle
Imaging Spectroradiometer aerosol optical thickness over the contiguous
United States, J. Geophys. Res.-Atmos., 109, D22206,
https://doi.org/10.1029/2004JD005025, 2004.
Liu, Y., Sarnat, J. A., Kilaru, V., Jacob, D. J., and Koutrakis, P.:
Estimating ground-level PM2.5 in the eastern United States using
satellite remote sensing, Environ. Sci. Technol., 39, 3269–3278, 2005.
Liu, Y., Koutrakis, P., and Kahn, R.: Estimating fine particulate matter
component concentrations and size distributions using satellite-retrieved
fractional aerosol optical depth: part 1 – method development, J. Air Waste
Manage., 57, 1351–1359, 2007.
Lu, Z., Zhang, Q., and Streets, D. G.: Sulfur dioxide and primary
carbonaceous aerosol emissions in China and India, 1996–2010, Atmos. Chem.
Phys., 11, 9839–9864, https://doi.org/10.5194/acp-11-9839-2011, 2011.
Malm, W. C., Sisler, J. F., Huffman, D., Eldred, R. A., and Cahill, T. A.:
Spatial and seasonal trends in particle concentration and optical extinction
in the United States, J. Geophys. Res.-Atmos., 99, 1347–1370,
https://doi.org/10.1029/93JD02916, 1994.
Marlier, M. E., DeFries, R. S., Voulgarakis, A., Kinney, P. L., Randerson, J.
T., Shindell, D. T., Chen, Y., and Faluvegi, G.: El Nino and health risks
from landscape fire emissions in southeast Asia, Nat. Clim. Change, 3,
131–136, https://doi.org/10.1038/nclimate1658, 2013.
McDonnell, W. F., Nishino-Ishikawa, N., Petersen, F. F., Chen, L. H., and
Abbey, D. E.: Relationships of mortality with the fine and coarse fractions
of long-term ambient PM10 concentrations in nonsmokers, J. Expo. Anal.
Env. Epid., 10, 427–436, 2000.
Miller, K. A., Siscovick, D. S., Sheppard, L., Shepherd, K., Sullivan, J. H.,
Anderson, G. L., and Kaufman, J. D.: Long-Term Exposure to Air Pollution and
Incidence of Cardiovascular Events in Women, N. Engl. J. Med., 356, 447–458,
https://doi.org/10.1056/NEJMoa054409, 2007.
Naess, Ø., Nafstad, P., Aamodt, G., Claussen, B., and Rosland, P.:
Relation between concentration of air pollution and cause-specific mortality:
four-year exposures to nitrogen dioxide and particulate matter pollutants in
470 neighborhoods in Oslo, Norway, Am. J. Epidemiol., 165, 435–443,
https://doi.org/10.1093/aje/kwk016, 2007.
OECD: OECD Environmental Outlook to 2050, OECD Publishing, available at:
http://www.oecd-ilibrary.org/environment/oecd-environmental-outlook-to-2050_9789264122246-en (last access: 24 June 2015), 2012.
Olivier, J. G. J. and Berdowski, J. J. M.: Global emissions sources and
sinks, in The Climate System, edited by: Berdowski, J., Guicherit, R., and
Heij, B. J., 33–78, A.A. Balkema Publishers/Swets & Zeitlinger
Publishers, Lisse, the Netherlands, 2001.
Ostro, B.: Outdoor Air Pollution: Assessing the Environmental Burden of
Disease at National and Local Levels. Environmental Burden of Disease Series,
No. 5, edited by: Prüss-Üstün, A., Campbell-Lendrum, D.,
Corvalán, C., and Woodward, A., Geneva, World Health Organization, 2004.
Ostro, B., Hu, J., Goldberg, D., Reynolds, P., Hertz, A., Bernstein, L., and
Kleeman, M. J.: Associations of mortality with long-term exposures to fine
and ultrafine particles, species and sources: results from the california
teachers study cohort, Environ. Health Perspect., 123, 549–556,
https://doi.org/10.1289/ehp.1408565, 2015.
Park, R. J., Jacob, D. J., Chin, M., and Martin, R. V.: Sources of
carbonaceous aerosols over the United States and implications for natural
visibility, J. Geophys. Res., 108, 2002–3190, 2003.
Park, R. J., Jacob, D. J., Field, B. D., Yantosca, R. M., and Chin, M.:
Natural and transboundary pollution influences on sulfate-nitrate-ammonium
aerosols in the United States: Implications for policy, J. Geophys.
Res.-Atmos., 109, https://doi.org/10.1029/2003JD004473, 2004.
Pope, C. A. and Dockery, D. W.: Air pollution and life expectancy in China
and beyond, P. Natl. Acad. Sci., 110, 12861–12862,
https://doi.org/10.1073/pnas.1310925110, 2013.
Pope, C. A., Bates, D. V., and Raizenne, M. E.: Health effects of particulate
air pollution: time for reassessment?, Environ. Health Persp., 103, 472–480,
1995.
Pope, C. A., Burnett, R. T., Thun, M. J., Calle, E. E., Krewski, D., Ito, K.,
and Thurston, G. D.: Lung cancer, cardiopulmonary mortality, and long-term
exposure to fine particulate air pollution, JAMA J. Am. Med. Assoc., 287,
1132–1141, 2002.
Pope, C. A., III, Burnett, R. T., Thurston, G. D., Thun, M. J., Calle, E. E.,
Krewski, D., and Godleski, J. J.: Cardiovascular mortality and long-term
exposure to particulate air pollution: epidemiological evidence of general
pathophysiological pathways of disease, Circulation, 109, 171–177,
https://doi.org/10.1161/01.CIR.0000108927.80044.7F, 2004.
Pope, C. A., Muhlestein, J. B., May, H. T., Renlund, D. G., Anderson, J. L.,
and Horne, B. D.: Ischemic Heart Disease Events Triggered by Short-Term
Exposure to Fine Particulate Air Pollution, Circulation, 114, 2443–2448,
https://doi.org/10.1161/CIRCULATIONAHA.106.636977, 2006.
Pope, C. A., Burnett, R. T., Krewski, D., Jerrett, M., Shi, Y., Calle, E. E.,
and Thun, M. J.: Cardiovascular mortality and exposure to airborne fine
particulate matter and cigarette smoke: shape of the exposure-response
relationship, Circulation, 120, 941–948,
https://doi.org/10.1161/CIRCULATIONAHA.109.857888, 2009.
Pope, C. A., Burnett, R. T., Turner, M. C., Cohen, A., Krewski, D., Jerrett,
M., Gapstur, S. M., and Thun, M. J.: Lung Cancer and Cardiovascular Disease
Mortality Associated with Ambient Air Pollution and Cigarette Smoke: Shape of
the Exposure-Response Relationships, Environ. Health Persp., 119, 1616–1621,
https://doi.org/10.1289/ehp.1103639, 2011.
Pope, C. A., Cropper, M., Coggins, J., and Cohen, A.: Health benefits of air
pollution abatement policy: Role of the shape of the concentration–response
function, J. Air Waste Manage., 65, 516–522,
https://doi.org/10.1080/10962247.2014.993004, 2015.
Puett, R. C., Hart, J. E., Yanosky, J. D., Paciorek, C., Schwartz, J., Suh,
H., Speizer, F. E., and Laden, F.: Chronic fine and coarse particulate
exposure, mortality, and coronary heart disease in the Nurses' Health Study,
Environ. Health Perspect., 117, 1697–1701, https://doi.org/10.1289/ehp.0900572, 2009.
Punger, E. M. and West, J. J.: The effect of grid resolution on estimates of
the burden of ozone and fine particulate matter on premature mortality in the
USA, Air Qual. Atmosphere Health, 6, 563–573, https://doi.org/10.1007/s11869-013-0197-8,
2013.
Qi, Y., Ge, J., and Huang, J.: Spatial and temporal distribution of MODIS and
MISR aerosol optical depth over northern China and comparison with AERONET,
Chinese Sci. Bull., 58, 2497–2506, https://doi.org/10.1007/s11434-013-5678-5, 2013.
Remer, L. A., Kaufman, Y. J., Tanré, D., Mattoo, S., Chu, D. A., Martins,
J. V., Li, R.-R., Ichoku, C., Levy, R. C., Kleidman, R. G., Eck, T. F.,
Vermote, E., and Holben, B. N.: The MODIS Aerosol Algorithm, Products, and
Validation, J. Atmos. Sci., 62, 947–973, https://doi.org/10.1175/JAS3385.1, 2005.
Remer, L. A., Kleidman, R. G., Levy, R. C., Kaufman, Y. J., Tanré, D.,
Mattoo, S., Martins, J. V., Ichoku, C., Koren, I., Yu, H., and Holben, B. N.:
Global aerosol climatology from the MODIS satellite sensors, J. Geophys.
Res.-Atmos., 113, D14S07, https://doi.org/10.1029/2007JD009661, 2008.
Ridley, D. A., Heald, C. L., and Ford, B.: North African dust export and
deposition: A satellite and model perspective, J. Geophys. Res., 117, D02202,
https://doi.org/10.1029/2011JD016794, 2012.
Rohde, R. A. and Muller, R. A.: Air Pollution in China: Mapping of
Concentrations and Sources, PLoS ONE, 10, e0135749,
https://doi.org/10.1371/journal.pone.0135749, 2015.
Schiferl, L. D., Heald, C. L., Nowak, J. B., Holloway, J. S., Neuman, J. A.,
Bahreini, R., Pollack, I. B., Ryerson, T. B., Wiedinmyer, C., and Murphy, J.
G.: An investigation of ammonia and inorganic particulate matter in
California during the CalNex campaign, J. Geophys. Res.-Atmos., 119,
1883–1902, https://doi.org/10.1002/2013JD020765, 2014.
Shang, Y., Sun, Z., Cao, J., Wang, X., Zhong, L., Bi, X., Li, H., Liu, W.,
Zhu, T., and Huang, W.: Systematic review of Chinese studies of short-term
exposure to air pollution and daily mortality, Environ. Int., 54, 100–111,
https://doi.org/10.1016/j.envint.2013.01.010, 2013.
Sheppard, L., Burnett, R. T., Szpiro, A. A., Kim, S.-Y., Jerrett, M., Pope,
C. A., and Brunekreef, B.: Confounding and exposure measurement error in air
pollution epidemiology, Air Qual. Atmosphere Health, 5, 203–216,
https://doi.org/10.1007/s11869-011-0140-9, 2012.
Shi, L., Zanobetti, A., Kloog, I., Coull, B. A., Koutrakis, P., Melly, S. J.
and Schwartz, J. D.: Low-Concentration PM2.5 and Mortality: Estimating
Acute and Chronic Effects in a Population-Based Study, Environ. Health
Perspect., 124, 46–50, https://doi.org/10.1289/ehp.1409111, 2015.
Silva, R. A., West, J. J., Zhang, Y., Anenberg, S. C., Lamarque, J.-F.,
Shindell, D. T., Collins, W. J., Dalsoren, S., Faluvegi, G., Folberth, G.,
Horowitz, L. W., Nagashima, T., Naik, V., Rumbold, S., Skeie, R., Sudo, K.,
Takemura, T., Bergmann, D., Cameron-Smith, P., Cionni, I., Doherty, R. M.,
Eyring, V., Josse, B., MacKenzie, I. A., Plummer, D., Righi, M., Stevenson,
D. S., Strode, S., Szopa, S., and Zeng, G.: Global premature mortality due to
anthropogenic outdoor air pollution and the contribution of past climate
change, Environ. Res. Lett., 8, 034005, https://doi.org/10.1088/1748-9326/8/3/034005,
2013.
Snider, G., Weagle, C. L., Martin, R. V., van Donkelaar, A., Conrad, K.,
Cunningham, D., Gordon, C., Zwicker, M., Akoshile, C., Artaxo, P., Anh, N.
X., Brook, J., Dong, J., Garland, R. M., Greenwald, R., Griffith, D., He, K.,
Holben, B. N., Kahn, R., Koren, I., Lagrosas, N., Lestari, P., Ma, Z.,
Vanderlei Martins, J., Quel, E. J., Rudich, Y., Salam, A., Tripathi, S. N.,
Yu, C., Zhang, Q., Zhang, Y., Brauer, M., Cohen, A., Gibson, M. D., and Liu,
Y.: SPARTAN: a global network to evaluate and enhance satellite-based
estimates of ground-level particulate matter for global health applications,
Atmos. Meas. Tech., 8, 505–521, https://doi.org/10.5194/amt-8-505-2015, 2015.
Streets, D. G., Zhang, Q., Wang, L., He, K., Hao, J., Wu, Y., Tang, Y., and
Carmichael, G. R.: Revisiting China's CO emissions after the Transport and
Chemical Evolution over the Pacific (TRACE-P) mission: Synthesis of
inventories, atmospheric modeling, and observations, J. Geophys. Res.-Atmos.,
111, D14306, https://doi.org/10.1029/2006JD007118, 2006.
Sun, Q., Hong, X., and Wold, L. E.: Cardiovascular Effects of Ambient
Particulate Air Pollution Exposure, Circulation, 121, 2755–2765,
https://doi.org/10.1161/CIRCULATIONAHA.109.893461, 2010.
Sun, J., Fu, J. S., Huang, K., and Gao, Y.: Estimation of future PM2.5- and ozone-related
mortality over the continental United States in a changing climate: An application
of high-resolution dynamical downscaling technique, J. Air Waste Manage. As., 65, 611–623, https://doi.org/10.1080/10962247.2015.1033068, 2015.
Thompson, T. M. and Selin, N. E.: Influence of air quality model resolution
on uncertainty associated with health impacts, Atmos. Chem. Phys., 12,
9753–9762, https://doi.org/10.5194/acp-12-9753-2012, 2012.
Thompson, T. M., Saari, R. K., and Selin, N. E.: Air quality resolution for
health impact assessment: influence of regional characteristics, Atmos. Chem.
Phys., 14, 969–978, https://doi.org/10.5194/acp-14-969-2014, 2014.
Toth, T. D., Zhang, J., Campbell, J. R., Hyer, E. J., Reid, J. S., Shi, Y.,
and Westphal, D. L.: Impact of data quality and surface-to-column
representativeness on the PM2.5/satellite AOD relationship for the
contiguous United States, Atmos. Chem. Phys., 14, 6049–6062,
https://doi.org/10.5194/acp-14-6049-2014, 2014.
Turner, M. C., Krewski, D., Pope, C. A., Chen, Y., Gapstur, S. M., and Thun,
M. J.: Long-term ambient fine particulate matter air pollution and lung
cancer in a large cohort of never-smokers, Am. J. Respir. Crit. Care Med.,
184, 1374–1381, https://doi.org/10.1164/rccm.201106-1011OC, 2011.
US EPA (US Environmental Protection Agency): Risk Assessment to Support the
Review of the PM Primary National Ambient Air Quality Standards (External
Reivew Draft), US EPA, Research Triangle Park, NC, 2009.
US EPA (US Environmental Protection Agency): Quantitative health risk
assessment for particulate matter, US Environmental Protection Agency,
Research Triangle Park, NC, 2010.
van der Werf, G. R., Randerson, J. T., Giglio, L., Collatz, G. J.,
Kasibhatla, P. S., and Arellano Jr., A. F.: Interannual variability in global
biomass burning emissions from 1997 to 2004, Atmos. Chem. Phys., 6,
3423–3441, https://doi.org/10.5194/acp-6-3423-2006, 2006.
van Donkelaar, A., Martin, R. V., and Park, R. J.: Estimating ground-level
PM2.5 using aerosol optical depth determined from satellite remote
sensing, J. Geophys. Res.-Atmos., 111, https://doi.org/10.1029/2005JD006996, 2006.
van Donkelaar, A., Martin, R. V., Brauer, M., Kahn, R., Levy, R., Verduzco,
C., and Villeneuve, P. J.: Global estimates of ambient fine particulate
matter concentrations from satellite-based aerosol optical depth: development
and application, Environ. Health Persp., 118, 847–855,
https://doi.org/10.1289/ehp.0901623, 2010.
van Donkelaar, A., Martin, R. V., Levy, R. C., da Silva, A. M., Krzyzanowski,
M., Chubarova, N. E., Semutnikova, E., and Cohen, A. J.: Satellite-based
estimates of ground-level fine particulate matter during extreme events: A
case study of the Moscow fires in 2010, Atmos. Environ., 45, 6225–6232,
https://doi.org/10.1016/j.atmosenv.2011.07.068, 2011.
van Donkelaar, A., Martin, R. V., Spurr, R. J. D., and Burnett, R. T.:
High-Resolution Satellite-Derived PM2.5 from Optimal Estimation and
Geographically Weighted Regression over North America, Environ. Sci.
Technol., 49, 10482–10491, https://doi.org/10.1021/acs.est.5b02076, 2015a.
van Donkelaar, A., Martin, R. V., Brauer, M., and Boys, B.: Use of Satellite
Observations for Long-Term Exposure Assessment of Global Concentrations of
Fine Particulate Matter, Environ. Health Persp., 123, 135–143,
https://doi.org/10.1289/ehp.1408646, 2015b.
Vestreng, V.: Review and Revision, Emission data reported to CLRTAP, MSC-W
Status Report 2003, Tech. rep., The Norwegian Meteorological Institute, Oslo,
Norway, 2003.
Vestreng, V., Mareckova, K., Kakareka, S., Malchykhina, A., and Kukharchyk,
T.: Inventory Review 2007; Emission Data Reported to LRTAP Convention and NEC
Directive, MSC-W Technical Report 1/07, Tech. rep., The Norwegian
Meteorological Institute, Oslo, Norway, 2007.
Villeneuve, P. J., Weichenthal, S. A., Crouse, D., Miller, A. B., To, T.,
Martin, R. V., van Donkelaar, A., Wall, C., and Burnett, R. T.: Long-term
Exposure to Fine Particulate Matter Air Pollution and Mortality Among
Canadian Women, Epidemiol. Camb. Mass, 26, 536–545,
https://doi.org/10.1097/EDE.0000000000000294, 2015.
Wang, X., Huang, J., Ji, M., and Higuchi, K.: Variability of East Asia dust
events and their long-term trend, Atmos. Environ., 42, 3156–3165,
https://doi.org/10.1016/j.atmosenv.2007.07.046, 2008.
Wang, Y., Zhang, Q. Q., He, K., Zhang, Q., and Chai, L.:
Sulfate-nitrate-ammonium aerosols over China: response to 2000–2015 emission
changes of sulfur dioxide, nitrogen oxides, and ammonia, Atmos. Chem. Phys.,
13, 2635–2652, https://doi.org/10.5194/acp-13-2635-2013, 2013.
Wang, Y., Zhang, Q., Jiang, J., Zhou, W., Wang, B., He, K., Duan, F., Zhang,
Q., Philip, S., and Xie, Y.: Enhanced sulfate formation during China's severe
winter haze episode in January 2013 missing from current models, J. Geophys.
Res.-Atmos., 119, 10425–10440, https://doi.org/10.1002/2013JD021426, 2014.
WHO (World Health Organization): Burden of disease from ambient air pollution for 2012.
Summary of results. Geneva: WHO, available at: http://www.who.int/phe/health_topics/outdoorair/databases/AAP_BoD_results_March2014.pdf (last access: 25 February 2016), 2014.
World Bank: World Development Indicators 2015, World Bank, Washington, DC,
2015.
Yao, J., Brauer, M., and Henderson, S. B.: Evaluation of a wildfire smoke
forecasting system as a tool for public health protection, Environ. Health
Persp., 121, 1142–1147, https://doi.org/10.1289/ehp.1306768, 2013.
You, W., Zang, Z., Pan, X., Zhang, L., and Chen, D.: Estimating PM2.5 in
Xi'an, China using aerosol optical depth: A comparison between the MODIS and
MISR retrieval models, Sci. Total Environ., 505, 1156–1165,
https://doi.org/10.1016/j.scitotenv.2014.11.024, 2015.
Zeger, S. L., Dominici, F., McDermott, A., and Samet, J. M.: Mortality in the
Medicare population and chronic exposure to fine particulate air pollution in
urban centers (2000–2005), Environ. Health Persp., 116, 1614–1619,
https://doi.org/10.1289/ehp.11449, 2008.
Zhang, J. and Reid, J. S.: MODIS aerosol product analysis for data
assimilation: Assessment of over-ocean level 2 aerosol optical thickness
retrievals, J. Geophys. Res.-Atmos., 111, D22207, https://doi.org/10.1029/2005JD006898,
2006.
Zhang, J. and Reid, J. S.: A decadal regional and global trend analysis of
the aerosol optical depth using a data-assimilation grade over-water MODIS
and Level 2 MISR aerosol products, Atmos. Chem. Phys., 10, 10949–10963,
https://doi.org/10.5194/acp-10-10949-2010, 2010.
Zhang, J., Reid, J. S., and Holben, B. N.: An analysis of potential cloud
artifacts in MODIS over ocean aerosol optical thickness products, Geophys.
Res. Lett., 32, L15803, https://doi.org/10.1029/2005GL023254, 2005.
Zhao, B., Wang, S. X., Liu, H., Xu, J. Y., Fu, K., Klimont, Z., Hao, J. M.,
He, K. B., Cofala, J., and Amann, M.: NOx emissions in China: historical
trends and future perspectives, Atmos. Chem. Phys., 13, 9869–9897,
https://doi.org/10.5194/acp-13-9869-2013, 2013.
Zheng, S., Pozzer, A., Cao, C. X., and Lelieveld, J.: Long-term (2001–2012)
concentrations of fine particulate matter (PM2.5) and the impact on human health
in Beijing, China, Atmos. Chem. Phys., 15, 5715–5725, https://doi.org/10.5194/acp-15-5715-2015, 2015.
Short summary
As motivation for air quality research, many studies cite the fact that exposure to particulate matter is associated with premature mortality. Recently, more studies have also tried to quantify this burden; however, there are many data sets that can be used and many different methodological choices to be made. In this paper, we seek to explain the different sources of uncertainty in health impact assessments through the example of using model and satellite-based PM2.5 concentrations.
As motivation for air quality research, many studies cite the fact that exposure to particulate...
Altmetrics
Final-revised paper
Preprint