Articles | Volume 18, issue 17
https://doi.org/10.5194/acp-18-12991-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-18-12991-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
10 Sep 2018
Research article |
| 10 Sep 2018
| 10 Sep 2018
Source regions contributing to excess reactive nitrogen deposition in the Greater Yellowstone Area (GYA) of the United States
Rui Zhang
Cooperative Institute for Research in the Atmosphere, Colorado State
University, Fort Collins, CO 80523, USA
Tammy M. Thompson
American Association for the Advancement of Science, Washington DC
20005, USA
Michael G. Barna
National Park Service, Air Resources Division, Lakewood, CO 80235,
USA
Jennifer L. Hand
Cooperative Institute for Research in the Atmosphere, Colorado State
University, Fort Collins, CO 80523, USA
Jill A. McMurray
US Forest Service, Bozeman, MT 59771, USA
Michael D. Bell
National Park Service, Air Resources Division, Lakewood, CO 80235,
USA
William C. Malm
Cooperative Institute for Research in the Atmosphere, Colorado State
University, Fort Collins, CO 80523, USA
Bret A. Schichtel
CORRESPONDING AUTHOR
National Park Service, Air Resources Division, Lakewood, CO 80235,
USA
Related authors
No articles found.
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.
Natalie M. Mahowald, Longlei Li, Julius Vira, Marje Prank, Douglas S. Hamilton, Hitoshi Matsui, Ron L. Miller, Louis Lu, Ezgi Akyuz, Daphne Meidan, Peter G. 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-Gomez, Adina Paytan, Joseph Prospero, Sergio Rodríguez, Patricia Smichowski, Daniela Varrica, Brenna Walsh, Crystal Weagle, and Xi Zhao
EGUsphere, https://doi.org/10.5194/egusphere-2024-1617, https://doi.org/10.5194/egusphere-2024-1617, 2024
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 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 datasets to model output.
Natalie M. Mahowald, Longlei Li, Julius Vira, Marje Prank, Douglas S. Hamilton, Hitoshi Matsui, Ron L. Miller, 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, Shankarararman Chellam, Ying Chen, Patrick Chuang, David D. Cohen, Cristina Colombi, Evangelia Diapouli, Gaetano Dongarra, Konstantinos Eleftheriadis, Corinne Galy-Lacaux, Cassandra Gaston, Dario Gomez, Yenny González Ramos, Hannele Hakola, Roy M. Harrison, Chris Heyes, Barak Herut, Philip Hopke, Christoph Hüglin, Maria Kanakidou, Zsofia Kertesz, Zbiginiw Klimont, Katriina Kyllönen, Fabrice Lambert, Xiaohong Liu, Remi Losno, Franco Lucarelli, Willy Maenhaut, Beatrice Marticorena, Randall V. Martin, Nikolaos Mihalopoulos, Yasser Morera-Gomez, Adina Paytan, Joseph Prospero, Sergio Rodríguez, Patricia Smichowski, Daniela Varrica, Brenna Walsh, Crystal Weagle, and Xi Zhao
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-1, https://doi.org/10.5194/essd-2024-1, 2024
Preprint withdrawn
Short summary
Short summary
Aerosol particles can interact with incoming solar radiation and outgoing long wave radiation, change cloud properties, affect photochemistry, impact surface air quality, and when deposited impact surface albedo of snow and ice, and modulate carbon dioxide uptake by the land and ocean. Here we present a new compilation of aerosol observations including composition, a methodology for comparing the datasets to model output, and show the implications of these results using one model.
James R. Ouimette, William C. Malm, Bret A. Schichtel, Patrick J. Sheridan, Elisabeth Andrews, John A. Ogren, and W. Patrick Arnott
Atmos. Meas. Tech., 15, 655–676, https://doi.org/10.5194/amt-15-655-2022, https://doi.org/10.5194/amt-15-655-2022, 2022
Short summary
Short summary
We show that the low-cost PurpleAir sensor can be characterized as a cell-reciprocal nephelometer. At two very different locations (Mauna Loa Observatory in Hawaii and the Table Mountain rural site in Colorado), the PurpleAir measurements are highly correlated with the submicrometer aerosol scattering coefficient measured by a research-grade integrating nephelometer. These results imply that, with care, PurpleAir data may be used to evaluate climate and air quality models.
Augustin Mortier, Jonas Gliß, Michael Schulz, Wenche Aas, Elisabeth Andrews, Huisheng Bian, Mian Chin, Paul Ginoux, Jenny Hand, Brent Holben, Hua Zhang, Zak Kipling, Alf Kirkevåg, Paolo Laj, Thibault Lurton, Gunnar Myhre, David Neubauer, Dirk Olivié, Knut von Salzen, Ragnhild Bieltvedt Skeie, Toshihiko Takemura, and Simone Tilmes
Atmos. Chem. Phys., 20, 13355–13378, https://doi.org/10.5194/acp-20-13355-2020, https://doi.org/10.5194/acp-20-13355-2020, 2020
Short summary
Short summary
We present a multiparameter analysis of the aerosol trends over the last 2 decades in the different regions of the world. In most of the regions, ground-based observations show a decrease in aerosol content in both the total atmospheric column and at the surface. The use of climate models, assessed against these observations, reveals however an increase in the total aerosol load, which is not seen with the sole use of observation due to partial coverage in space and time.
Paolo Laj, Alessandro Bigi, Clémence Rose, Elisabeth Andrews, Cathrine Lund Myhre, Martine Collaud Coen, Yong Lin, Alfred Wiedensohler, Michael Schulz, John A. Ogren, Markus Fiebig, Jonas Gliß, Augustin Mortier, Marco Pandolfi, Tuukka Petäja, Sang-Woo Kim, Wenche Aas, Jean-Philippe Putaud, Olga Mayol-Bracero, Melita Keywood, Lorenzo Labrador, Pasi Aalto, Erik Ahlberg, Lucas Alados Arboledas, Andrés Alastuey, Marcos Andrade, Begoña Artíñano, Stina Ausmeel, Todor Arsov, Eija Asmi, John Backman, Urs Baltensperger, Susanne Bastian, Olaf Bath, Johan Paul Beukes, Benjamin T. Brem, Nicolas Bukowiecki, Sébastien Conil, Cedric Couret, Derek Day, Wan Dayantolis, Anna Degorska, Konstantinos Eleftheriadis, Prodromos Fetfatzis, Olivier Favez, Harald Flentje, Maria I. Gini, Asta Gregorič, Martin Gysel-Beer, A. Gannet Hallar, Jenny Hand, Andras Hoffer, Christoph Hueglin, Rakesh K. Hooda, Antti Hyvärinen, Ivo Kalapov, Nikos Kalivitis, Anne Kasper-Giebl, Jeong Eun Kim, Giorgos Kouvarakis, Irena Kranjc, Radovan Krejci, Markku Kulmala, Casper Labuschagne, Hae-Jung Lee, Heikki Lihavainen, Neng-Huei Lin, Gunter Löschau, Krista Luoma, Angela Marinoni, Sebastiao Martins Dos Santos, Frank Meinhardt, Maik Merkel, Jean-Marc Metzger, Nikolaos Mihalopoulos, Nhat Anh Nguyen, Jakub Ondracek, Noemi Pérez, Maria Rita Perrone, Jean-Eudes Petit, David Picard, Jean-Marc Pichon, Veronique Pont, Natalia Prats, Anthony Prenni, Fabienne Reisen, Salvatore Romano, Karine Sellegri, Sangeeta Sharma, Gerhard Schauer, Patrick Sheridan, James Patrick Sherman, Maik Schütze, Andreas Schwerin, Ralf Sohmer, Mar Sorribas, Martin Steinbacher, Junying Sun, Gloria Titos, Barbara Toczko, Thomas Tuch, Pierre Tulet, Peter Tunved, Ville Vakkari, Fernando Velarde, Patricio Velasquez, Paolo Villani, Sterios Vratolis, Sheng-Hsiang Wang, Kay Weinhold, Rolf Weller, Margarita Yela, Jesus Yus-Diez, Vladimir Zdimal, Paul Zieger, and Nadezda Zikova
Atmos. Meas. Tech., 13, 4353–4392, https://doi.org/10.5194/amt-13-4353-2020, https://doi.org/10.5194/amt-13-4353-2020, 2020
Short summary
Short summary
The paper establishes the fiducial reference of the GAW aerosol network providing the fully characterized value chain to the provision of four climate-relevant aerosol properties from ground-based sites. Data from almost 90 stations worldwide are reported for a reference year, 2017, providing a unique and very robust view of the variability of these variables worldwide. Current gaps in the GAW network are analysed and requirements for the Global Climate Monitoring System are proposed.
Martine Collaud Coen, Elisabeth Andrews, Andrés Alastuey, Todor Petkov Arsov, John Backman, Benjamin T. Brem, Nicolas Bukowiecki, Cédric Couret, Konstantinos Eleftheriadis, Harald Flentje, Markus Fiebig, Martin Gysel-Beer, Jenny L. Hand, András Hoffer, Rakesh Hooda, Christoph Hueglin, Warren Joubert, Melita Keywood, Jeong Eun Kim, Sang-Woo Kim, Casper Labuschagne, Neng-Huei Lin, Yong Lin, Cathrine Lund Myhre, Krista Luoma, Hassan Lyamani, Angela Marinoni, Olga L. Mayol-Bracero, Nikos Mihalopoulos, Marco Pandolfi, Natalia Prats, Anthony J. Prenni, Jean-Philippe Putaud, Ludwig Ries, Fabienne Reisen, Karine Sellegri, Sangeeta Sharma, Patrick Sheridan, James Patrick Sherman, Junying Sun, Gloria Titos, Elvis Torres, Thomas Tuch, Rolf Weller, Alfred Wiedensohler, Paul Zieger, and Paolo Laj
Atmos. Chem. Phys., 20, 8867–8908, https://doi.org/10.5194/acp-20-8867-2020, https://doi.org/10.5194/acp-20-8867-2020, 2020
Short summary
Short summary
Long-term trends of aerosol radiative properties (52 stations) prove that aerosol load has significantly decreased over the last 20 years. Scattering trends are negative in Europe (EU) and North America (NA), not ss in Asia, and show a mix of positive and negative trends at polar stations. Absorption has mainly negative trends. The single scattering albedo has positive trends in Asia and eastern EU and negative in western EU and NA, leading to a global positive median trend of 0.02 % per year.
Charlotte Bürki, Matteo Reggente, Ann M. Dillner, Jenny L. Hand, Stephanie L. Shaw, and Satoshi Takahama
Atmos. Meas. Tech., 13, 1517–1538, https://doi.org/10.5194/amt-13-1517-2020, https://doi.org/10.5194/amt-13-1517-2020, 2020
Short summary
Short summary
Infrared spectroscopy is a chemically informative method for particulate matter characterization. However, recent work has demonstrated that predictions depend heavily on the choice of calibration model parameters. We propose a means for managing parameter uncertainties by combining available data from laboratory standards, molecular databases, and collocated ambient measurements to provide useful characterization of atmospheric organic matter on a large scale.
A. J. Prenni, D. E. Day, A. R. Evanoski-Cole, B. C. Sive, A. Hecobian, Y. Zhou, K. A. Gebhart, J. L. Hand, A. P. Sullivan, Y. Li, M. I. Schurman, Y. Desyaterik, W. C. Malm, J. L. Collett Jr., and B. A. Schichtel
Atmos. Chem. Phys., 16, 1401–1416, https://doi.org/10.5194/acp-16-1401-2016, https://doi.org/10.5194/acp-16-1401-2016, 2016
Short summary
Short summary
The Bakken formation contains billions of barrels of oil and gas trapped in rock and shale. Horizontal drilling and hydraulic fracturing methods have allowed for extraction of these resources, leading to exponential growth of oil production in the region. Along with this development has come an increase in associated emissions to the atmosphere. This paper describes a field study (BAQS) aimed at better understanding the impacts of these emissions on air quality in nearby federal lands.
Related subject area
Subject: Aerosols | Research Activity: Atmospheric Modelling and Data Analysis | Altitude Range: Troposphere | Science Focus: Chemistry (chemical composition and reactions)
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
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
Rapid oxidation of phenolic compounds by O3 and HO●: effects of the air–water interface and mineral dust in tropospheric chemical processes
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)
Impacts of Sea Ice Leads on Sea Salt Aerosols and Atmospheric Chemistry in the Arctic
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
Dimethyl sulfide chemistry over the industrial era: comparison of key oxidation mechanisms and long-term observations
Population exposure to outdoor NO2, black carbon, particle mass, and number concentrations over Paris with multi-scale modelling down to the street scale
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
A Comprehensive Global Modelling Assessment of Nitrate Heterogeneous Formation on Desert Dust
Modelling of atmospheric variability of gas and aerosols during the ACROSS campaign 2022 in the greater Paris area: evaluation of the meteorology, dynamics and chemistry
Observed and CMIP6-model-simulated organic aerosol response to drought in the contiguous United States during summertime
Long-term trends in aerosol properties derived from AERONET measurements
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
Predicted impacts of heterogeneous chemical pathways on particulate sulfur over Fairbanks, Alaska, the N. Hemisphere, and the Contiguous United States
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
AERO-MAP: A data compilation and modelling approach to understand spatial variability in fine and coarse mode aerosol composition
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
Spatial-temporal patterns of anthropogenic and biomass burning contributions on air pollution and mortality burden changes in India from 1995 to 2014
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
Oxidative potential apportionment of atmospheric PM1: a new approach combining high-sensitive online analysers for chemical composition and offline OP measurement technique
Aqueous-phase chemistry of glyoxal with multifunctional reduced nitrogen compounds: a potential missing route for secondary brown carbon
An updated modeling framework to simulate Los Angeles air quality – Part 1: Model development, evaluation, and source apportionment
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.
Xiaolin Duan, Guangjie Zheng, Chuchu Chen, Qiang Zhang, and Kebin He
EGUsphere, https://doi.org/10.5194/egusphere-2024-3584, https://doi.org/10.5194/egusphere-2024-3584, 2024
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 time scales. Its application in Changzhou, China revealed distinct driving factors and corresponding mechanisms of aerosol acidity from annual trends to random residues.
Wenxin Zhang, Yaman Liu, Man Yue, Xinyi Dong, and Minghuai Wang
EGUsphere, https://doi.org/10.5194/egusphere-2024-3420, https://doi.org/10.5194/egusphere-2024-3420, 2024
Short summary
Short summary
Understanding long-term organic aerosols (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 (SOA) and an 8.1% decrease in primary organic aerosols (POA), 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.
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.
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.
Erin Emme and Hannah Horowitz
EGUsphere, https://doi.org/10.5194/egusphere-2024-3147, https://doi.org/10.5194/egusphere-2024-3147, 2024
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 sea ice leads contribute to Arctic sea salt aerosols and bromine, especially in under-observed regions.
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.
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. Winksi, David G. Ferris, Karl J. Kreutz, Cameron P. Wake, and Becky Alexander
EGUsphere, https://doi.org/10.5194/egusphere-2024-3026, https://doi.org/10.5194/egusphere-2024-3026, 2024
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 models 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.
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
EGUsphere, https://doi.org/10.5194/egusphere-2024-2120, https://doi.org/10.5194/egusphere-2024-2120, 2024
Short summary
Short summary
To accurately represent the population exposure to outdoor concentrations of pollutants of health interest (NO2, black carbon, PM2.5, ultrafine particles), multi-scale modelling down to the street scale is setup and evaluated using measurements from field campaigns. An exposure scaling factor is defined, allowing to correct regional-scale simulations to evaluate population exposure. Urban heterogeneities strongly influence NO2, black carbon and ultrafine particles, but less PM2.5.
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.
Rubén Soussé-Villa, Oriol Jorba, María Gonçalves Ageitos, Dene Bowdalo, Marc Guevara, and Carlos Pérez García-Pando
EGUsphere, https://doi.org/10.5194/egusphere-2024-2310, https://doi.org/10.5194/egusphere-2024-2310, 2024
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.
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 Pereira, Jean-Eudes Petit, Eva Drew Pronovost, Véronique Riffault, Chenjie Yu, Gilles Foret, Jean-François Doussin, and Claudia Di Biagio
EGUsphere, https://doi.org/10.5194/egusphere-2024-2175, https://doi.org/10.5194/egusphere-2024-2175, 2024
Short summary
Short summary
Summer 2022 has been considered a proxy for future climate scenarios, given the registered hot and dry conditions. In this paper, we used the measurements from the ACROSS campaign, occurred over the Paris area in June–July 2022, in addition to observations from existing networks, to evaluate the WRF–CHIMERE model simulation over France and the Ile-de-France regions. Results over the Ile–de–France show to be satisfactory, allowing to explain the gas and aerosol variability at the ACROSS sites.
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.
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
EGUsphere, https://doi.org/10.5194/egusphere-2024-2533, https://doi.org/10.5194/egusphere-2024-2533, 2024
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 source over North India, increased dust activities over the Arabian Peninsula, etc.
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.
Sara Louise Farrell, Havala O. T. Pye, Robert Gilliam, George Pouliot, Deanna Huff, Golam Sarwar, William Vizuete, Nicole Briggs, and Kathleen Fahey
EGUsphere, https://doi.org/10.5194/egusphere-2024-1550, https://doi.org/10.5194/egusphere-2024-1550, 2024
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.
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.
Natalie M. Mahowald, Longlei Li, Julius Vira, Marje Prank, Douglas S. Hamilton, Hitoshi Matsui, Ron L. Miller, Louis Lu, Ezgi Akyuz, Daphne Meidan, Peter G. 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-Gomez, Adina Paytan, Joseph Prospero, Sergio Rodríguez, Patricia Smichowski, Daniela Varrica, Brenna Walsh, Crystal Weagle, and Xi Zhao
EGUsphere, https://doi.org/10.5194/egusphere-2024-1617, https://doi.org/10.5194/egusphere-2024-1617, 2024
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 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 datasets to model output.
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.
Bin Luo, Yuqiang Zhang, Tao Tang, Hongliang Zhang, Jianlin Hu, Jiangshan Mu, Wenxing Wang, and Likun Xue
EGUsphere, https://doi.org/10.5194/egusphere-2024-974, https://doi.org/10.5194/egusphere-2024-974, 2024
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 highlights the urgent need for localized policies to protect public health amid escalating environmental challenges.
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.
Julie Camman, Benjamin Chazeau, Nicolas Marchand, Amandine Durand, Grégory Gille, Ludovic Lanzi, Jean-Luc Jaffrezo, Henri Wortham, and Gaëlle Uzu
Atmos. Chem. Phys., 24, 3257–3278, https://doi.org/10.5194/acp-24-3257-2024, https://doi.org/10.5194/acp-24-3257-2024, 2024
Short summary
Short summary
Fine particle (PM1) pollution is a major health issue in the city of Marseille, which is subject to numerous pollution sources. Sampling carried out during the summer enabled a fine characterization of the PM1 sources and their oxidative potential, a promising new metric as a proxy for health impact. PM1 came mainly from combustion sources, secondary ammonium sulfate, and organic nitrate, while the oxidative potential of PM1 came from these sources and from resuspended dust in the atmosphere.
Yuemeng Ji, Zhang Shi, Wenjian Li, Jiaxin Wang, Qiuju Shi, Yixin Li, Lei Gao, Ruize Ma, Weijun Lu, Lulu Xu, Yanpeng Gao, Guiying Li, and Taicheng An
Atmos. Chem. Phys., 24, 3079–3091, https://doi.org/10.5194/acp-24-3079-2024, https://doi.org/10.5194/acp-24-3079-2024, 2024
Short summary
Short summary
The formation mechanisms for secondary brown carbon (SBrC) contributed by multifunctional reduced nitrogen compounds (RNCs) remain unclear. Hence, from combined laboratory experiments and quantum chemical calculations, we investigated the heterogeneous reactions of glyoxal (GL) with multifunctional RNCs, which are driven by four-step indirect nucleophilic addition reactions. Our results show a possible missing source for SBrC formation on urban, regional, and global scales.
Elyse A. Pennington, Yuan Wang, Benjamin C. Schulze, Karl M. Seltzer, Jiani Yang, Bin Zhao, Zhe Jiang, Hongru Shi, Melissa Venecek, Daniel Chau, Benjamin N. Murphy, Christopher M. Kenseth, Ryan X. Ward, Havala O. T. Pye, and John H. Seinfeld
Atmos. Chem. Phys., 24, 2345–2363, https://doi.org/10.5194/acp-24-2345-2024, https://doi.org/10.5194/acp-24-2345-2024, 2024
Short summary
Short summary
To assess the air quality in Los Angeles (LA), we improved the CMAQ model by using dynamic traffic emissions and new secondary organic aerosol schemes to represent volatile chemical products. Source apportionment demonstrates that the urban areas of the LA Basin and vicinity are NOx-saturated, with the largest sensitivity of O3 to changes in volatile organic compounds in the urban core. The improvement and remaining issues shed light on the future direction of the model development.
Cited articles
Appel, K. W., Foley, K. M., Bash, J. O., Pinder, R. W., Dennis, R. L., Allen,
D. J., and Pickering, K.: A multi-resolution assessment of the Community
Multiscale Air Quality (CMAQ) model v4.7 wet deposition estimates for
2002–2006, Geosci. Model Dev., 4, 357–371,
https://doi.org/10.5194/gmd-4-357-2011, 2011.
Baker, K. and Scheff, P.: Photochemical model performance for PM2.5
sulfate, nitrate, ammonium, and precursor species SO2, HNO3, and NH3
at background monitor locations in the central and eastern United States,
Atmos. Environ., 41, 6185–6195, 2007.
Baker, K. R., Emery, C., Dolwick, P., and Yarwood, G.: Photochemical grid
model estimates of lateral boundary contributions to ozone and particulate
matter across the continental United States, Atmos. Environ., 123, 49–62,
2015.
Baron, J. S.: Hindcasting nitrogen deposition to determine an ecological
critical load, Ecol. Appl., 16, 433–439, 2006.
Baron, J. S., Driscoll, C. T., Stoddard, J. L., and Richer, E. E.: Empirical
critical loads of atmospheric nitrogen deposition for nutrient enrichment and
acidification of sensitive US lakes, BioScience, 61, 602–613, 2011.
Bash, J. O., Cooter, E. J., Dennis, R. L., Walker, J. T., and Pleim, J. E.:
Evaluation of a regional air-quality model with bidirectional NH3 exchange
coupled to an agroecosystem model, Biogeosciences, 10, 1635–1645,
https://doi.org/10.5194/bg-10-1635-2013, 2013.
Benedict, K. B., Chen, X., Sullivan, A. P., Li, Y., Day, D., Prenni, A. J.,
Levin, E. J. T., Kreidenweis, S. M., Malm, W. C., Schichtel, B. A., and
Collett, J. L.: Atmospheric concentrations and deposition of reactive
nitrogen in Grand Teton National Park, J. Geophys. Res., 118, 11874–11887,
https://doi.org/10.1002/2013JD020394, 2013a.
Benedict, K. B., Day, D., Schwandner, F. M., Kreidenweis, S. M., Schichtel,
B., Malm, W. C., and Collett Jr., J. L.: Observations of atmospheric reactive
nitrogen species in Rocky Mountain National Park and across northern
Colorado, Atmos. Environ., 64, 66–76, 2013b.
Bey, I., Jacob, D. J., Yantosca, R. M., Logan, J. A., Field, B., Fiore, A.
M., Li, Q., Liu, H., Mickley, L. J., and Schultz, M.: Global modeling of
tropospheric chemistry with assimilated meteorology: Model description and
evaluation, J. Geophys. Res., 106, 23073–23096, 2001.
Blett, T., Grenon, J., and Svalberg, T.: Greater Yellowstone area critical
loads science workshop final report, prepared by National Park Service Air
Resources Division and Bridger-Teton National Forest, available at:
https://www.nature.nps.gov/air/pubs/pdf/GYE-CL_Workshop_Report-Final_04-2011.pdf
(last access: 21 February 2018), 2011.
Boylan, J. W. and Russell, A. G.: PM and light extinction model performance
metrics, goals, and criteria for three-dimensional air quality models, Atmos.
Environ., 40, 4946–4959, 2006.
Brewer, P. and Moore, T.: Source contributions to visibility impairment in
the southeastern and western United States, J. Air Waste Manag. Assoc., 59,
1070–1081, https://doi.org/10.3155/1047-3289.59.9.1070, 2009.
Byun, D. and Schere, K. L.: Review of the governing equations, computational
algorithms, and other components of the Models-3 Community Multiscale Air
Quality (CMAQ) modeling system, Appl. Mech. Rev., 59, 51–77, 2006.
Cape, J. N., Cornell, S. E., Jickells, T. D., and Nemitz, E.: Organic
nitrogen in the atmosphere – Where does it come from? A review of sources
and methods, Atmos. Res., 102, 30–48, 2011.
Clarisse, L., Clerbaux, C., Dentener, F., Hurtmans, D., and Coheur, P. F.:
Global ammonia distribution derived from infrared satellite observations,
Nature Geosci., 2, 479–483, 2009.
Clow, D. W., Sickman, J. O., Striegel, R. G., Krabbenhoft, D. P., Elliott, J.
G., Dornblaser, M., Roth, D. A., and Campbell D. H.: Changes in the chemistry
of lakes and precipitation in high-elevation national parks in the western
United States, 1985–1999, Water Resour. Res., 39, 1171,
https://doi.org/10.1029/2002WR001533, 2003.
Daly, C., Neilson, R. P., and Phillips, D. L.: A statistical-topographic
model for mapping climatological precipitation over mountainous terrain, J.
Appl. Meteor., 33, 140–158, 1994.
Ellis, R. A., Jacob, D. J., Sulprizio, M. P., Zhang, L., Holmes, C. D.,
Schichtel, B. A., Blett, T., Porter, E., Pardo, L. H., and Lynch, J. A.:
Present and future nitrogen deposition to national parks in the United
States: critical load exceedances, Atmos. Chem. Phys., 13, 9083–9095,
https://doi.org/10.5194/acp-13-9083-2013, 2013.
Emery, C., Liu, Z., Russell, A. G., Odman, M. T., Yarwood, G., and Kumar, N.:
Recommendations on statistics and benchmarks to assess photochemical model
performance, J. Air Waste Manag. Assoc., 67, 582–598, 2017.
Emmons, L. K., Walters, S., Hess, P. G., Lamarque, J.-F., Pfister, G. G.,
Fillmore, D., Granier, C., Guenther, A., Kinnison, D., Laepple, T., Orlando,
J., Tie, X., Tyndall, G., Wiedinmyer, C., Baughcum, S. L., and Kloster, S.:
Description and evaluation of the Model for Ozone and Related chemical
Tracers, version 4 (MOZART-4), Geosci. Model Dev., 3, 43–67,
https://doi.org/10.5194/gmd-3-43-2010, 2010.
ENVIRON (ENVIRON International Corporation): CAMx version 6.10 User's Guide,
available at: http://www.camx.com/files/camxusersguide_v6-10.pdf (last
access: 21 March 2017), 2014.
EPA (Environmental Protection Agency): Modeling Guidance s for demonstrating
attainment of air quality goals for ozone, PM2.5, and regional haze,
available at:
https://www3.epa.gov/scram001/guidance/guide/Draft_O3-PM-RH_Modeling_Guidance-2014.pdf
(last access: 21 February 2018), 2014.
EPA (Environmental Protection Agency): Preparation of emissions inventories
for version 6.2, 2011 emission modeling platform, available at:
http://vibe.cira.colostate.edu/wiki/Attachments/Modeling/3SAQS_2011_WRF_MPE_v05Mar2015.pdf
(last access: 21 February 2018), 2015a.
EPA (Environmental Protection Agency): 2011 National Emission Inventory,
Technical Support Document, version 2, Research Triangle Park, NC, available
at:
https://www.epa.gov/sites/production/files/2015-10/documents/nei2011v2_tsd_14aug2015.pdf
(last access: 21 February 2018), 2015b.
Fann, N., Fulcher, C. M., and Baker, K.: The recent and future health burden
of air pollution apportioned across US sectors, Environ. Sci. Tech., 47,
3580–3589, 2013.
Fenn, M. E., Baron, J. S., Allen, E. B., Rueth, H. M., Nydick, K. R., Geiser,
L., Bowman, W. D., Sickman, J. O., Meixner, T., Johnson, D. W., and Neitlich,
P.: Ecological effects of nitrogen deposition in the western United States,
BioScience, 53, 404–420, 2003.
Fenn, M. E., Bytnerowicz, A., Schilling, S. L., Vallano, D. M., Zavaleta, E.
S., Weiss, S. B., Morozumi, C., Geiser, L. H., and Hanks, K.: On-road
emissions of ammonia: An underappreciated source of atmospheric nitrogen
deposition, Sci. Total Environ., 625, 909–919, 2018.
Ferm, M.: Atmospheric ammonia and ammonium transport in Europe and critical
loads: a review, Nutr. Cycl. Agroecosys., 51, 5–17, 1998.
Foley, K. M., Roselle, S. J., Appel, K. W., Bhave, P. V., Pleim, J. E., Otte,
T. L., Mathur, R., Sarwar, G., Young, J. O., Gilliam, R. C., Nolte, C. G.,
Kelly, J. T., Gilliland, A. B., and Bash, J. O.: Incremental testing of the
Community Multiscale Air Quality (CMAQ) modeling system version 4.7, Geosci.
Model Dev., 3, 205–226, https://doi.org/10.5194/gmd-3-205-2010, 2010.
Galloway, J. N., Dentener, F. J., Capone, D. G., Boyer, E. W., Howarth, R.
W., Seitzinger, S. P., Asner, G. P., Cleveland, C. C., Green, P. A., Holland,
E. A., and Karl, D. M.: Nitrogen cycles: past, present, and future,
Biogeochemistry, 70, 153–226, 2004.
Guenther, A. B., Jiang, X., Heald, C. L., Sakulyanontvittaya, T., Duhl, T.,
Emmons, L. K., and Wang, X.: The Model of Emissions of Gases and Aerosols
from Nature version 2.1 (MEGAN2.1): an extended and updated framework for
modeling biogenic emissions, Geosci. Model Dev., 5, 1471–1492,
https://doi.org/10.5194/gmd-5-1471-2012, 2012.
Houyoux, M., Vukovich, J., and Brandmeyer, J. E.: Sparse Matrix Operator
Kernel Emissions Modeling System-SMOKE User Manual, MCNC-2002, Environmental
Modeling Center, Research Triangle Park, North Carolina, 2002.
IMPROVE: IMPROVE data, Interagency Monitoring of Protected Visual
Environments (IMPROVE), available at:
http://vista.cira.colostate.edu/Improve/improve-data/ (last access:
21 March 2017), 2011.
Jickells, T., Baker, A. R., Cape, J. N., Cornell, S. E., and Nemitz, E.: The
cycling of organic nitrogen through the atmosphere, Philos. Trans. R. Soc.
Lond. B Biol. Sci., 368, 20130115, https://doi.org/10.1098/rstb.2013.011, 2013.
Keiter, R. B. and Boyce, M. S.: The Greater Yellowstone Ecosystem: redefining
America's wilderness heritage, Yale University Press, New Haven, CT, 428 pp.,
1994.
Lee, H.-M., Paulot, F., Henze, D. K., Travis, K., Jacob, D. J., Pardo, L. H.,
and Schichtel, B. A.: Sources of nitrogen deposition in Federal Class I areas
in the US, Atmos. Chem. Phys., 16, 525–540,
https://doi.org/10.5194/acp-16-525-2016, 2016.
Li, Y., Schichtel, B. A., Walker, J. T., Schwede, D. B., Chen, X., Lehmann,
C. M. B., Puchalski, M. A., Gay, D. A., and Collet Jr., J. L.: Increasing
importance of deposition of reduced nitrogen in the United States, Proc.
Natl. Acad. Sci. USA, 113, 5874–5879, 2016.
Li, Y., Thompson, T. M., Van Damme, M., Chen, X., Benedict, K. B., Shao, Y.,
Day, D., Boris, A., Sullivan, A. P., Ham, J., Whitburn, S., Clarisse, L.,
Coheur, P.-F., and Collett Jr., J. L.: Temporal and spatial variability of
ammonia in urban and agricultural regions of northern Colorado, United
States, Atmos. Chem. Phys., 17, 6197–6213,
https://doi.org/10.5194/acp-17-6197-2017, 2017.
Lynch J., Pardo, L., and Huber C.: Detailed documentation of the CLAD U.S.
Critical Loads of Sulfur and Nitrogen Access Database, version 2.5, available
at: http://nadp.sws.uiuc.edu/committees/clad/db/ (last access:
21 February 2018), 2015.
Malm, W. C., Rodriguez, M. A., Schichtel, B. A., Gebhart, K. A., Thompson, T.
M., Barna, M. G., Benedict, K. B., Carrico, C. M., and Collett Jr., J. L.: A
hybrid modeling approach to estimating reactive nitrogen deposition in Rocky
Mountain National Park, Atmos. Environ., 126, 258–273, 2016.
Mavko, M. and Morris, R.: DEASCO3 project updates to the fire plume rise
methodology to model smoke dispersions, available at:
http://wraptools.org/pdf/DEASCO3_Plume_Rise_Memo_20131210.pdf (last
access: 21 February 2018), 2013.
Moore, C. T., Randall, D., Mavko, M., Morris, R., Koo, B., Fitch, M., George,
M., Barna, M., Vimont, J., Anderson, B., and Acheson, A.: Deterministic and
empirical assessment of smoke's contribution to ozone (DEASCO3), final
report, Joint Fire Science, Program Project no. 11-1-6-6, available at:
https://www.firescience.gov/projects/11-1-6-6/project/11-1-6-6_final_report.pdf
(last access: 21 February 2018), 2012.
Nanus, L., McMurray, J. A., Clow, D. W., Saros, J. E., Blett, T., and Gurdak,
J. J.: Spatial variation of atmospheric nitrogen deposition and critical
loads for aquatic ecosystems in the Greater Yellowstone Area, Environ.
Pollut., 223, 644–656, 2017.
NADP (National Atmospheric Deposition Program): Total Deposition 2015 Annual
Map Summary. NADP Data Report 2016-02, Illinois State Water Survey, the
University of Illinois at Urbana-Champaign, IL, availabe at:
http://nadp.sws.uiuc.edu/committees/tdep/reports/TDEPreport15_Final.pdf
(last access: 21 February 2018), 2016.
NOAA (National Oceanic and Atmospheric Administration): National Centers for Environmental Information, State of the
Climate, Global Climate Report for Annual 2011, available at:
https://www.ncdc.noaa.gov/sotc/global/201113 (last access:
1 September 2017), 2012.
NPS (National Park Service): Greater Yellowstone Ecosystem,
https://www.nps.gov/yell/learn/upload/RI_2017_Ch3-GYE.pdf (last access:
21 February 2018), 2017.
Pardo, L. H., Fenn, M. E., Goodale, C. L., Geiser, L. H., Driscoll, C. T.,
Allen, E. B., Baron, J. S., Bobbink, R., Bowman, W. D., Clark, C. M., and
Emmett, B.: Effects of nitrogen deposition and empirical nitrogen critical
loads for ecoregions of the United States, Ecol. Appl., 21, 3049–3082, 2011.
Parisien, M. A., Snetsinger, S., Greenberg, J. A., Nelson, C. R.,
Schoennagel, T., Dobrowski, S. Z., and Moritz, M. A.: Spatial variability in
wildfire probability across the western United States, Int. J. Wildland Fire,
21, 313–327, 2012.
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. Geophy. Res., 109,
D15204, https://doi.org/10.1029/2003JD004473, 2004.
Porter E., Blett T., Potter D. U., and Huber C.: Protecting resources on
federal lands: implications of critical loads for atmospheric deposition of
nitrogen and sulfur, BioScience, 55, 603–612, 2005.
Prenni, A. J., Levin, E. J. T., Benedict, K. B., Sullivan, A. P., Schurman,
M. I., Gebhart, K. A., Day, D. E., Carrico, C. M., Malm, W. C., Schichtel, B.
A., and Collett, J. L.: Gas-phase reactive nitrogen near Grand Teton National
Park: Impacts of transport, anthropogenic emissions, and biomass burning,
Atmos. Environ., 89, 749–756, 2014.
Reay, D. S., Davidson, E. A., Smith, K. A., Smith, P., Melillo, J. M.,
Dentener, F., and Crutzen, P. J.: Global agriculture and nitrous oxide
emissions, Nat. Clim. Change, 2, 410–416, 2012.
Saros, J. E., Clow, D. W., Blett, T., and Wolfe, A. P.: Critical nitrogen
deposition in high elevation lakes of the western US inferred from
paleolimnological records, Water Air Soil Poll., 216, 193–202, 2011.
Schwede, D. B. and Lear, G. G.: A novel hybrid approach for estimating total
deposition in the United States, Atmos. Environ., 92, 207–220, 2014.
Simon, H., Baker, K. R., and Phillips, S.: Compilation and interpretation of
photochemical model performance statistics published between 2006 and 2012,
Atmos. Environ., 61, 124–139, 2012.
Skamarock, W. C., Klemp, J. B., Dudhia, J., Gill, D. O., Barker, D. M., Duda,
M. G., Huang, X., Wang, W., and Powers, J. G.: A description of the Advanced
Research WRF Version 3, National Center for Atmospheric Research, Boulder,
CO, NCAR/TN-475+STR, 2008.
Spaulding, S. A., Out, M. K., Wolfe, A. P., and Baron, J. S.:
Paleolimnological records of nitrogen deposition in shallow high-elevation
lakes of Grand Teton National Park, Wyoming, USA, Arct. Antarct. Alp. Res.,
47, 703–717, 2015.
Sullivan, T. J., McDonnell, T. C., McPherson, G. T., Mackey, S. D., and
Moore, D.: Evaluation of the Sensitivity of Inventory and Monitoring National
Parks to Nutrient Enrichment Effects from Atmospheric Nitrogen Deposition,
National Resource Report, NPS/NRPC/ARD/NRR-2011/308, 2011.
Sun, K., Tao, L., Miller, D. J., Khan, M. A., and Zondlo, M. A.: On-road
ammonia emissions characterized by mobile, open-path measurements, Environ.
Sci. Tech., 48, 3943–3950, 2014.
Sun, K., Tao, L., Miller, D. J., Pan, D., Golston, L. M., Zondlo, M. A.,
Griffin, R. J., Wallace, H. W., Leong, Y. J., Yang, M. M., and Zhang, Y.:
Vehicle emissions as an important urban ammonia source in the United States
and China, Environ. Sci. Tech., 51, 2472–2481, 2017.
Thompson, T. M., Rodriguez, M. A., Barna, M. G., Gebhart, K. A., Hand, J. L.,
Day, D. E., Malm, W. C., Benedict, K. B., Collett, J. L., and Schichtel, B.
A.: Rocky Mountain National Park reduced nitrogen source apportionment, J.
Geophys. Res., 120, 4370–4384, 2015.
UNC (University of North Carolina)-Chapel Hill and ENVIRON (ENVIRON
International Corporation): Three-State Air Quality Modeling Study (3SAQS) –
Weather Research Forecast 2011 Meteorological Model Application/Evaluation,
available at:
http://vibe.cira.colostate.edu/wiki/Attachments/Modeling/3SAQS_2011_WRF_MPE_v8_draft_Aug04_2014.pdf
(last access: 21 February 2018), 2014a.
UNC (University of North Carolina)-Chapel Hill and ENVIRON (ENVIRON
International Corporation): Three-State Air Quality Modeling Study (3SAQS) –
Final modeling protocol: 2011 emissions & air quality modeling platform,
available at:
http://vibe.cira.colostate.edu/wiki/Attachments/Modeling/3SAQS_2011_WRF_MPE_v8_draft_Aug04_2014.pdf
(last access: 21 February 2018), 2014b.
USGS (U.S. Geological Survey): Rocky Mountain Regional Snowpack Chemistry,
Chemical Concentration Data, available at:
https://co.water.usgs.gov/projects/RM_snowpack/ (last access: 21
February 2018), 2014.
Yu, S., Eder, B., Dennis, R., Chu, S.-H., and Schwartz, S. E.: New unbiased
symmetric metrics for evaluation of air quality models, Atmos. Sci. Lett., 7,
26–34, 2006.
Yu, S., Mathur, R., Pleim, J., Wong, D., Gilliam, R., Alapaty, K., Zhao, C.,
and Liu, X.: Aerosol indirect effect on the grid-scale clouds in the two-way
coupled WRF–CMAQ: model description, development, evaluation and regional
analysis, Atmos. Chem. Phys., 14, 11247–11285,
https://doi.org/10.5194/acp-14-11247-2014, 2014.
Warrach-Sagi, K., Schwitalla, T., Wulfmeyer, V., and Bauer, H. S.: Evaluation
of a climate simulation in Europe based on the WRF–NOAH model system:
precipitation in Germany, Clim. Dynam., 41, 755–774, 2013.
Wen, D., Zhang, L., Lin, J. C., Vet, R., and Moran, M. D.: An evaluation of
ambient ammonia concentrations over southern Ontario simulated with different
dry deposition schemes within STILT-Chem v0.8, Geosci. Model Dev., 7,
1037–1050, https://doi.org/10.5194/gmd-7-1037-2014, 2014.
Westerling, A. L. and Swetnam, T. W.: Interannual to decadal drought and
wildfire in the western United States, EOS T. Am. Geophys., 84, 545–555,
2003.
Whaley, C. H., Makar, P. A., Shephard, M. W., Zhang, L., Zhang, J., Zheng,
Q., Akingunola, A., Wentworth, G. R., Murphy, J. G., Kharol, S. K., and
Cady-Pereira, K. E.: Contributions of natural and anthropogenic sources to
ambient ammonia in the Athabasca Oil Sands and north-western Canada, Atmos.
Chem. Phys., 18, 2011–2034, https://doi.org/10.5194/acp-18-2011-2018, 2018.
Zhang, L., Brook, J. R., and Vet, R.: A revised parameterization for gaseous
dry deposition in air-quality models, Atmos. Chem. Phys., 3, 2067–2082,
https://doi.org/10.5194/acp-3-2067-2003, 2003.
Zhang, L., Wright, L. P., and Asman, W. A. H.: Bi-directional air-surface
exchange of atmospheric ammonia: A review of measurements and a development
of a big leaf model for applications in regional scale air quality models, J.
Geophys. Res., 115, D20310, https://doi.org/10.1029/2009JD013589, 2010.
Zhang, L., Jacob, D. J., Knipping, E. M., Kumar, N., Munger, J. W., Carouge,
C. C., van Donkelaar, A., Wang, Y. X., and Chen, D.: Nitrogen deposition to
the United States: distribution, sources, and processes, Atmos. Chem. Phys.,
12, 4539–4554, https://doi.org/10.5194/acp-12-4539-2012, 2012.
Zhang, R., Thompson, T. M., Barna, M. G., Hand, J. L., McMurray, J. A., Bell,
M. D., Malm, W. C., and Schichtel, B. A.: Model data associated with
manuscript: “Source regions contributing to excess reactive nitrogen
deposition in the Greater Yellowstone Area (GYA) of the United States”,
https://hdl.handle.net/10217/191136, last access: 5 September 2018.
Zhang, Y., Olsen, K. M., and Wang, K.: Fine scale modeling of agricultural
air quality over the southeastern United States using two air quality models,
Part I. Application and evaluation, Aerosol Air Qual. Res., 13, 1231–1252,
2013.
Zhu, L., Henze, D. K., Bash, J. O., Cady-Pereira, K. E., Shephard, M. W.,
Luo, M., and Capps, S. L.: Sources and impacts of atmospheric NH3: Current
understanding and frontiers for modeling, measurements, and remote sensing in
North America, Curr. Pollut. Rep., 1, 95–116, 2015.
Short summary
Excess reactive nitrogen deposition in the Greater Yellowstone Area is adversely affecting sensitive ecosystems. Source apportionment (SA) to quantify the contributions from important emission sectors/regions was conducted using CAMx–PSAT. Our results highlighted the importance of controlling reduced nitrogen, especially from agricultural activities in the Snake River valley. Uncertainties from NH3 simulation, boundary conditions, and precipitation estimates in SA results were also discussed.
Excess reactive nitrogen deposition in the Greater Yellowstone Area is adversely affecting...
Altmetrics
Final-revised paper
Preprint