Articles | Volume 19, issue 23
https://doi.org/10.5194/acp-19-15157-2019
© Author(s) 2019. 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-19-15157-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
13 Dec 2019
Research article |
| 13 Dec 2019
| 13 Dec 2019
Evaluating wildfire emissions projection methods in comparisons of simulated and observed air quality
Uma Shankar
Department of Environmental Sciences and Engineering, University of
North Carolina at Chapel Hill, Chapel Hill, NC 27599-7431, USA
Donald McKenzie
School of Environmental and Forest Sciences, University of
Washington, Seattle, WA 98195, USA
Jeffrey P. Prestemon
USDA Forest Service, Southern Research Station, Research Triangle
Park, NC 27709, USA
Bok Haeng Baek
University of North Carolina at Chapel Hill – Institute for the
Environment, Chapel Hill, NC 27517, USA
Mohammed Omary
University of North Carolina at Chapel Hill – Institute for the
Environment, Chapel Hill, NC 27517, USA
Dongmei Yang
University of North Carolina at Chapel Hill – Institute for the
Environment, Chapel Hill, NC 27517, USA
Aijun Xiu
University of North Carolina at Chapel Hill – Institute for the
Environment, Chapel Hill, NC 27517, USA
Kevin Talgo
CSRA Incorporated, Research Triangle Park, NC 27709, USA
William Vizuete
CORRESPONDING AUTHOR
Department of Environmental Sciences and Engineering, University of
North Carolina at Chapel Hill, Chapel Hill, NC 27599-7431, USA
Related authors
No articles found.
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.
Chi-Tsan Wang, Bok H. Baek, William Vizuete, Lawrence S. Engel, Jia Xing, Jaime Green, Marc Serre, Richard Strott, Jared Bowden, and Jung-Hun Woo
Earth Syst. Sci. Data, 15, 5261–5279, https://doi.org/10.5194/essd-15-5261-2023, https://doi.org/10.5194/essd-15-5261-2023, 2023
Short summary
Short summary
Hazardous air pollutant (HAP) human exposure studies usually rely on local measurements or dispersion model methods, but those methods are limited under spatial and temporal conditions. We processed the US EPA emission data to simulate the hourly HAP emission patterns and applied the chemical transport model to simulate the HAP concentrations. The modeled HAP results exhibit good agreement (R is 0.75 and NMB is −5.6 %) with observational data.
Bok H. Baek, Carlie Coats, Siqi Ma, Chi-Tsan Wang, Yunyao Li, Jia Xing, Daniel Tong, Soontae Kim, and Jung-Hun Woo
Geosci. Model Dev., 16, 4659–4676, https://doi.org/10.5194/gmd-16-4659-2023, https://doi.org/10.5194/gmd-16-4659-2023, 2023
Short summary
Short summary
To enable the direct feedback effects of aerosols and local meteorology in an air quality modeling system without any computational bottleneck, we have developed an inline meteorology-induced emissions coupler module within the U.S. Environmental Protection Agency’s Community Multiscale Air Quality modeling system to dynamically model the complex MOtor Vehicle Emission Simulator (MOVES) on-road mobile emissions inline without a separate dedicated emissions processing model like SMOKE.
Wendell W. Walters, Madeline Karod, Emma Willcocks, Bok H. Baek, Danielle E. Blum, and Meredith G. Hastings
Atmos. Chem. Phys., 22, 13431–13448, https://doi.org/10.5194/acp-22-13431-2022, https://doi.org/10.5194/acp-22-13431-2022, 2022
Short summary
Short summary
Atmospheric ammonia and its products are a significant source of urban haze and nitrogen deposition. We have investigated the seasonal source contributions to a mid-sized city in the northeastern US megalopolis utilizing geospatial statistical analysis and novel isotopic constraints, which indicate that vehicle emissions were significant components of the urban-reduced nitrogen budget. Reducing vehicle ammonia emissions should be considered to improve ecosystems and human health.
Bok H. Baek, Rizzieri Pedruzzi, Minwoo Park, Chi-Tsan Wang, Younha Kim, Chul-Han Song, and Jung-Hun Woo
Geosci. Model Dev., 15, 4757–4781, https://doi.org/10.5194/gmd-15-4757-2022, https://doi.org/10.5194/gmd-15-4757-2022, 2022
Short summary
Short summary
The Comprehensive Automobile Research System (CARS) is an open-source Python-based automobile emissions inventory model designed to efficiently estimate high-quality emissions. The CARS is designed to utilize the local vehicle activity database, such as vehicle travel distance, road-link-level network information, and vehicle-specific average speed by road type, to generate a temporally and spatially enhanced inventory for policymakers, stakeholders, and the air quality modeling community.
Ryan Schmedding, Quazi Z. Rasool, Yue Zhang, Havala O. T. Pye, Haofei Zhang, Yuzhi Chen, Jason D. Surratt, Felipe D. Lopez-Hilfiker, Joel A. Thornton, Allen H. Goldstein, and William Vizuete
Atmos. Chem. Phys., 20, 8201–8225, https://doi.org/10.5194/acp-20-8201-2020, https://doi.org/10.5194/acp-20-8201-2020, 2020
Short summary
Short summary
Accurate model prediction of aerosol concentrations is a known challenge. It is assumed in many modeling systems that aerosols are in a homogeneously mixed phase state. It has been observed that aerosols do phase separate and can form a highly viscous organic shell with an aqueous core impacting the formation processes of aerosols. This work is a model implementation to determine an aerosol's phase state using glass transition temperature and aerosol composition.
Chi-Tsan Wang, Christine Wiedinmyer, Kirsti Ashworth, Peter C. Harley, John Ortega, Quazi Z. Rasool, and William Vizuete
Atmos. Chem. Phys., 19, 13973–13987, https://doi.org/10.5194/acp-19-13973-2019, https://doi.org/10.5194/acp-19-13973-2019, 2019
Short summary
Short summary
The legal commercialization of cannabis has created a new and almost unregulated industry. Here we present the first inventory of volatile organic compound emissions from cannabis cultivation facilities (CCFs) for Colorado. When applied within a regulatory air quality model to predict regional ozone impacts, our inventory results in net ozone formation near CCFs with the largest increases in Denver County. However, our inventory is highly uncertain and we identify future critical data needs.
Yongping Yuan, Ruoyu Wang, Ellen Cooter, Limei Ran, Prasad Daggupati, Dongmei Yang, Raghavan Srinivasan, and Anna Jalowska
Biogeosciences, 15, 7059–7076, https://doi.org/10.5194/bg-15-7059-2018, https://doi.org/10.5194/bg-15-7059-2018, 2018
Short summary
Short summary
Elevated levels of nutrients in surface water, which originate from deposition of atmospheric N, drainage from agricultural fields, and discharges from sewage treatment plants, cause explosive algal blooms that impair water quality. The complex cycling of nutrients through the land, air, and water requires an integrated multimedia modeling system linking air, land surface, and stream processes to assess their sources, transport, and transformation in large river basins for decision making.
Lakshmi Pradeepa Vennam, William Vizuete, and Saravanan Arunachalam
Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2018-601, https://doi.org/10.5194/acp-2018-601, 2018
Revised manuscript not accepted
Short summary
Short summary
This study uses tagged tracer simulations to quantify the magnitudes of upper altitude aviation emissions that get transported to the surface. We show that only 0.6 % of these are found at surface after 90 days, and 30–40 % remain in mid-troposphere. Our findings will challenge prior studies that showed high aviation-attributable health risk, elucidate the role of aviation emissions in atmospheric composition and surface air quality, and help put these in context with other anthropogenic sources.
Maiko Arashiro, Ying-Hsuan Lin, Kenneth G. Sexton, Zhenfa Zhang, Ilona Jaspers, Rebecca C. Fry, William G. Vizuete, Avram Gold, and Jason D. Surratt
Atmos. Chem. Phys., 16, 14079–14090, https://doi.org/10.5194/acp-16-14079-2016, https://doi.org/10.5194/acp-16-14079-2016, 2016
Short summary
Short summary
Atmospheric oxidation of isoprene in the presence of acidic sulfate aerosol yields substantial SOA. Potential adverse health effects resulting from exposure to this aerosol type are largely unknown. Measurements of gene expression of known inflammatory biomarkers interleukin 8 (IL-8) and cyclooxygenase 2 (COX-2) in exposed human lung cells at the air–liquid interface showed that a dose of 0.067 μg cm−2 of isoprene SOA leads to statistically significant increases in IL-8 and COX-2 mRNA levels.
T. P. Riedel, Y.-H. Lin, Z. Zhang, K. Chu, J. A. Thornton, W. Vizuete, A. Gold, and J. D. Surratt
Atmos. Chem. Phys., 16, 1245–1254, https://doi.org/10.5194/acp-16-1245-2016, https://doi.org/10.5194/acp-16-1245-2016, 2016
Short summary
Short summary
IEPOX, a photooxidation product of isoprene, contributes to ambient secondary organic aerosol concentrations. Controlled atmospheric chamber experiments and modeling are used to extract formation rate information of chemical species that contribute to IEPOX-derived secondary organic aerosol.
L. Ran, D. H. Loughlin, D. Yang, Z. Adelman, B. H. Baek, and C. G. Nolte
Geosci. Model Dev., 8, 1775–1787, https://doi.org/10.5194/gmd-8-1775-2015, https://doi.org/10.5194/gmd-8-1775-2015, 2015
Short summary
Short summary
We present and demonstrate Version 2.0 of the Emission Scenario Projection (ESP) method. This method produces multi-decadal air pollutant emission projections suitable for air quality modeling. The method focuses on energy-related emissions, including those from the electric sector, buildings, industry and transportation. ESP v2.0 enhances ESP v1.0 by taking population growth, migration and land use change into consideration.
K. M. Seltzer, W. Vizuete, and B. H. Henderson
Atmos. Chem. Phys., 15, 5973–5986, https://doi.org/10.5194/acp-15-5973-2015, https://doi.org/10.5194/acp-15-5973-2015, 2015
Related subject area
Subject: Aerosols | Research Activity: Atmospheric Modelling and Data Analysis | Altitude Range: Troposphere | Science Focus: Chemistry (chemical composition and reactions)
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
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
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
Exploring the processes controlling secondary inorganic aerosol: Evaluating the global GEOS-Chem simulation using a suite of aircraft campaigns
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
Quantifying the impact of global nitrate aerosol on tropospheric composition fields and its production from lightning NOx
Land use change influence on atmospheric organic gases, aerosols, and radiative effects
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
Quantifying the Impacts of Marine Aerosols over the Southeast Atlantic Ocean using a chemical transport model: Implications for aerosol-cloud interactions
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
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
Frequent haze events associated with transport and stagnation over the corridor between the North China Plain and Yangtze River Delta
Evaluation of WRF-Chem-simulated meteorology and aerosols over northern India during the severe pollution episode of 2016
How well are aerosol–cloud interactions represented in climate models? – Part 1: Understanding the sulfate aerosol production from the 2014–15 Holuhraun eruption
pH regulates the formation of organosulfates and inorganic sulfate from organic peroxide reaction with dissolved SO2 in aquatic media
Technical note: Accurate, reliable, and high-resolution air quality predictions by improving the Copernicus Atmosphere Monitoring Service using a novel statistical post-processing method
Contribution of intermediate-volatility organic compounds from on-road transport to secondary organic aerosol levels in Europe
Development of an integrated model framework for multi-air-pollutant exposure assessments in high-density cities
CAMx–UNIPAR simulation of secondary organic aerosol mass formed from multiphase reactions of hydrocarbons under the Central Valley urban atmospheres of California
Impact of urbanization on fine particulate matter concentrations over central Europe
Measurement report: Assessing the impacts of emission uncertainty on aerosol optical properties and radiative forcing from biomass burning in peninsular Southeast Asia
The Emissions Model Intercomparison Project (Emissions-MIP): quantifying model sensitivity to emission characteristics
Dynamics-based estimates of decline trend with fine temporal variations in China's PM2.5 emissions
Effects of simulated secondary organic aerosol water on PM1 levels and composition over the US
Reactive organic carbon air emissions from mobile sources in the United States
Development and evaluation of processes affecting simulation of diel fine particulate matter variation in the GEOS-Chem model
Substantially positive contributions of new particle formation to cloud condensation nuclei under low supersaturation in China based on numerical model improvements
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.
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.
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.
Olivia G. Norman, Colette L. Heald, 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
EGUsphere, https://doi.org/10.5194/egusphere-2024-2296, https://doi.org/10.5194/egusphere-2024-2296, 2024
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).
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.
Ashok K. Luhar, Anthony C. Jones, and Jonathan M. Wilkinson
EGUsphere, https://doi.org/10.5194/egusphere-2024-1363, https://doi.org/10.5194/egusphere-2024-1363, 2024
Short summary
Short summary
Nitrate aerosol is often omitted in global chemistry-climate models due to the chemical complexity of its formation process. Using a global model, we demonstrate 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.
Ryan Vella, Matthew Forrest, Andrea Pozzer, Alexandra P. Tsimpidi, Thomas Hickler, Jos Lelieveld, and Holger Tost
EGUsphere, https://doi.org/10.5194/egusphere-2024-2014, https://doi.org/10.5194/egusphere-2024-2014, 2024
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.
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.
Mashiat Hossain, Rebecca M. Garland, and Hannah M. Horowitz
EGUsphere, https://doi.org/10.5194/egusphere-2024-1948, https://doi.org/10.5194/egusphere-2024-1948, 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.
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.
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.
Feifan Yan, Hang Su, Yafang Cheng, Rujin Huang, Hong Liao, Ting Yang, Yuanyuan Zhu, Shaoqing Zhang, Lifang Sheng, Wenbin Kou, Xinran Zeng, Shengnan Xiang, Xiaohong Yao, Huiwang Gao, and Yang Gao
Atmos. Chem. Phys., 24, 2365–2376, https://doi.org/10.5194/acp-24-2365-2024, https://doi.org/10.5194/acp-24-2365-2024, 2024
Short summary
Short summary
PM2.5 pollution is a major air quality issue deteriorating human health, and previous studies mostly focus on regions like the North China Plain and Yangtze River Delta. However, the characteristics of PM2.5 concentrations between these two regions are studied less often. Focusing on the transport corridor region, we identify an interesting seesaw transport phenomenon with stagnant weather conditions, conducive to PM2.5 accumulation over this region, resulting in large health effects.
Prerita Agarwal, David S. Stevenson, and Mathew R. Heal
Atmos. Chem. Phys., 24, 2239–2266, https://doi.org/10.5194/acp-24-2239-2024, https://doi.org/10.5194/acp-24-2239-2024, 2024
Short summary
Short summary
Air pollution levels across northern India are amongst some of the worst in the world, with episodic and hazardous haze events. Here, the ability of the WRF-Chem model to predict air quality over northern India is assessed against several datasets. Whilst surface wind speed and particle pollution peaks are over- and underestimated, respectively, meteorology and aerosol trends are adequately captured, and we conclude it is suitable for investigating severe particle pollution events.
George Jordan, Florent Malavelle, Ying Chen, Amy Peace, Eliza Duncan, Daniel G. Partridge, Paul Kim, Duncan Watson-Parris, Toshihiko Takemura, David Neubauer, Gunnar Myhre, Ragnhild Skeie, Anton Laakso, and James Haywood
Atmos. Chem. Phys., 24, 1939–1960, https://doi.org/10.5194/acp-24-1939-2024, https://doi.org/10.5194/acp-24-1939-2024, 2024
Short summary
Short summary
The 2014–15 Holuhraun eruption caused a huge aerosol plume in an otherwise unpolluted region, providing a chance to study how aerosol alters cloud properties. This two-part study uses observations and models to quantify this relationship’s impact on the Earth’s energy budget. Part 1 suggests the models capture the observed spatial and chemical evolution of the plume, yet no model plume is exact. Understanding these differences is key for Part 2, where changes to cloud properties are explored.
Lin Du, Xiaofan Lv, Makroni Lily, Kun Li, and Narcisse Tsona Tchinda
Atmos. Chem. Phys., 24, 1841–1853, https://doi.org/10.5194/acp-24-1841-2024, https://doi.org/10.5194/acp-24-1841-2024, 2024
Short summary
Short summary
This study explores the pH effect on the reaction of dissolved SO2 with selected organic peroxides. Results show that the formation of organic and/or inorganic sulfate from these peroxides strongly depends on their electronic structures, and these processes are likely to alter the chemical composition of dissolved organic matter in different ways. The rate constants of these reactions exhibit positive pH and temperature dependencies within pH 1–10 and 240–340 K ranges.
Angelo Riccio and Elena Chianese
Atmos. Chem. Phys., 24, 1673–1689, https://doi.org/10.5194/acp-24-1673-2024, https://doi.org/10.5194/acp-24-1673-2024, 2024
Short summary
Short summary
Starting from the Copernicus Atmosphere Monitoring Service (CAMS), we provided a novel ensemble statistical post-processing approach to improve their air quality predictions. Our approach is able to provide reliable short-term forecasts of pollutant concentrations, which is a key challenge in supporting national authorities in their tasks related to EU Air Quality Directives, such as planning and reporting the state of air quality to the citizens.
Stella E. I. Manavi and Spyros N. Pandis
Atmos. Chem. Phys., 24, 891–909, https://doi.org/10.5194/acp-24-891-2024, https://doi.org/10.5194/acp-24-891-2024, 2024
Short summary
Short summary
Organic vapors of intermediate volatility have often been neglected as sources of atmospheric organic aerosol. In this work we use a new approach for their simulation and quantify the contribution of these compounds emitted by transportation sources (gasoline and diesel vehicles) to particulate matter over Europe. The estimated secondary organic aerosol levels are on average 60 % higher than predicted by previous approaches. However, these estimates are probably lower limits.
Zhiyuan Li, Kin-Fai Ho, Harry Fung Lee, and Steve Hung Lam Yim
Atmos. Chem. Phys., 24, 649–661, https://doi.org/10.5194/acp-24-649-2024, https://doi.org/10.5194/acp-24-649-2024, 2024
Short summary
Short summary
This study developed an integrated model framework for accurate multi-air-pollutant exposure assessments in high-density and high-rise cities. Following the proposed integrated model framework, we established multi-air-pollutant exposure models for four major PM10 chemical species as well as four criteria air pollutants with R2 values ranging from 0.73 to 0.93. The proposed framework serves as an important tool for combined exposure assessment in epidemiological studies.
Yujin Jo, Myoseon Jang, Sanghee Han, Azad Madhu, Bonyoung Koo, Yiqin Jia, Zechen Yu, Soontae Kim, and Jinsoo Park
Atmos. Chem. Phys., 24, 487–508, https://doi.org/10.5194/acp-24-487-2024, https://doi.org/10.5194/acp-24-487-2024, 2024
Short summary
Short summary
The CAMx–UNIPAR model simulated the SOA budget formed via multiphase reactions of hydrocarbons and the impact of emissions and climate on SOA characteristics under California’s urban environments during winter 2018. SOA growth was dominated by daytime oxidation of long-chain alkanes and nighttime terpene oxidation with O3 and NO−3 radicals. The spatial distributions of anthropogenic SOA were affected by the northwesterly wind, whereas those of biogenic SOA were insensitive to wind directions.
Peter Huszar, Alvaro Patricio Prieto Perez, Lukáš Bartík, Jan Karlický, and Anahi Villalba-Pradas
Atmos. Chem. Phys., 24, 397–425, https://doi.org/10.5194/acp-24-397-2024, https://doi.org/10.5194/acp-24-397-2024, 2024
Short summary
Short summary
Urbanization transforms rural land into artificial land, while due to human activities, it also introduces a great quantity of emissions. We quantify the impact of urbanization on the final particulate matter pollutant levels by looking not only at these emissions, but also at the way urban land cover influences meteorological conditions, how the removal of pollutants changes due to urban land cover, and how biogenic emissions from vegetation change due to less vegetation in urban areas.
Yinbao Jin, Yiming Liu, Xiao Lu, Xiaoyang Chen, Ao Shen, Haofan Wang, Yinping Cui, Yifei Xu, Siting Li, Jian Liu, Ming Zhang, Yingying Ma, and Qi Fan
Atmos. Chem. Phys., 24, 367–395, https://doi.org/10.5194/acp-24-367-2024, https://doi.org/10.5194/acp-24-367-2024, 2024
Short summary
Short summary
This study aims to address these issues by evaluating eight independent biomass burning (BB) emission inventories (GFED, FINN1.5, FINN2.5 MOS, FINN2.5 MOSVIS, GFAS, FEER, QFED, and IS4FIRES) using the WRF-Chem model and analyzing their impact on aerosol optical properties (AOPs) and direct radiative forcing (DRF) during wildfire events in peninsular Southeast Asia (PSEA) that occurred in March 2019.
Hamza Ahsan, Hailong Wang, Jingbo Wu, Mingxuan Wu, Steven J. Smith, Susanne Bauer, Harrison Suchyta, Dirk Olivié, Gunnar Myhre, Hitoshi Matsui, Huisheng Bian, Jean-François Lamarque, Ken Carslaw, Larry Horowitz, Leighton Regayre, Mian Chin, Michael Schulz, Ragnhild Bieltvedt Skeie, Toshihiko Takemura, and Vaishali Naik
Atmos. Chem. Phys., 23, 14779–14799, https://doi.org/10.5194/acp-23-14779-2023, https://doi.org/10.5194/acp-23-14779-2023, 2023
Short summary
Short summary
We examine the impact of the assumed effective height of SO2 injection, SO2 and BC emission seasonality, and the assumed fraction of SO2 emissions injected as SO4 on climate and chemistry model results. We find that the SO2 injection height has a large impact on surface SO2 concentrations and, in some models, radiative flux. These assumptions are a
hiddensource of inter-model variability and may be leading to bias in some climate model results.
Zhen Peng, Lili Lei, Zhe-Min Tan, Meigen Zhang, Aijun Ding, and Xingxia Kou
Atmos. Chem. Phys., 23, 14505–14520, https://doi.org/10.5194/acp-23-14505-2023, https://doi.org/10.5194/acp-23-14505-2023, 2023
Short summary
Short summary
Annual PM2.5 emissions in China consistently decreased by about 3% to 5% from 2017 to 2020 with spatial variations and seasonal dependencies. High-temporal-resolution and dynamics-based PM2.5 emission estimates provide quantitative diurnal variations for each season. Significant reductions in PM2.5 emissions in the North China Plain and northeast of China in 2020 were caused by COVID-19.
Stylianos Kakavas, Spyros N. Pandis, and Athanasios Nenes
Atmos. Chem. Phys., 23, 13555–13564, https://doi.org/10.5194/acp-23-13555-2023, https://doi.org/10.5194/acp-23-13555-2023, 2023
Short summary
Short summary
Water uptake from organic species in aerosol can affect the partitioning of semi-volatile inorganic compounds but are not considered in global and chemical transport models. We address this with a version of the PM-CAMx model that considers such organic water effects and use it to carry out 1-year aerosol simulations over the continental US. We show that such organic water impacts can increase dry PM1 levels by up to 2 μg m-3 when RH levels and PM1 concentrations are high.
Benjamin N. Murphy, Darrell Sonntag, Karl M. Seltzer, Havala O. T. Pye, Christine Allen, Evan Murray, Claudia Toro, Drew R. Gentner, Cheng Huang, Shantanu Jathar, Li Li, Andrew A. May, and Allen L. Robinson
Atmos. Chem. Phys., 23, 13469–13483, https://doi.org/10.5194/acp-23-13469-2023, https://doi.org/10.5194/acp-23-13469-2023, 2023
Short summary
Short summary
We update methods for calculating organic particle and vapor emissions from mobile sources in the USA. Conventionally, particulate matter (PM) and volatile organic carbon (VOC) are speciated without consideration of primary semivolatile emissions. Our methods integrate state-of-the-science speciation profiles and correct for common artifacts when sampling emissions in a laboratory. We quantify impacts of the emission updates on ambient pollution with the Community Multiscale Air Quality model.
Yanshun Li, Randall V. Martin, Chi Li, Brian L. Boys, Aaron van Donkelaar, Jun Meng, and Jeffrey R. Pierce
Atmos. Chem. Phys., 23, 12525–12543, https://doi.org/10.5194/acp-23-12525-2023, https://doi.org/10.5194/acp-23-12525-2023, 2023
Short summary
Short summary
We developed and evaluated processes affecting within-day (diel) variability in PM2.5 concentrations in a chemical transport model over the contiguous US. Diel variability in PM2.5 for the contiguous US is driven by early-morning accumulation into a shallow mixed layer, decreases from mid-morning through afternoon with mixed-layer growth, increases from mid-afternoon through evening as the mixed-layer collapses, and decreases overnight as emissions decrease.
Chupeng Zhang, Shangfei Hai, Yang Gao, Yuhang Wang, Shaoqing Zhang, Lifang Sheng, Bin Zhao, Shuxiao Wang, Jingkun Jiang, Xin Huang, Xiaojing Shen, Junying Sun, Aura Lupascu, Manish Shrivastava, Jerome D. Fast, Wenxuan Cheng, Xiuwen Guo, Ming Chu, Nan Ma, Juan Hong, Qiaoqiao Wang, Xiaohong Yao, and Huiwang Gao
Atmos. Chem. Phys., 23, 10713–10730, https://doi.org/10.5194/acp-23-10713-2023, https://doi.org/10.5194/acp-23-10713-2023, 2023
Short summary
Short summary
New particle formation is an important source of atmospheric particles, exerting critical influences on global climate. Numerical models are vital tools to understanding atmospheric particle evolution, which, however, suffer from large biases in simulating particle numbers. Here we improve the model chemical processes governing particle sizes and compositions. The improved model reveals substantial contributions of newly formed particles to climate through effects on cloud condensation nuclei.
Cited articles
Abatzoglou, J. T. and Williams, A. P.: Impact of anthropogenic climate
change on wildfire across western US forests, P. Natl. Acad. Sci. USA,
113, 11770–11775, https://doi.org/10.1073/pnas.1607171113, 2016.
Appel, K. W., Gilliland, A., Sarwar, G., and Gilliam, R.: Evaluation of the
Community Multiscale Air Quality (CMAQ) model version 4.5: Sensitivities
impacting model predictions: Part I – Ozone, Atmos. Environ., 41,
9603–9615, 2007.
Appel, K. W., Bhave, P., Gilliland, A., Sarwar, G., and Roselle, S.: Evaluation
of the Community Multiscale Air Quality (CMAQ) model version 4.5:
Sensitivities impacting model predictions: Part II – Particulate matter,
Atmos. Environ., 42, 6057–6066, 2008.
Appel, K. W., Gilliam, R. C., Davis, N., Zubrow, A., and Howard S. C.:
Overview of the Atmospheric Model Evaluation Tool (AMET) v1.1 for evaluating
meteorological and air quality models, Environ. Modell. Softw., 26,
4, 434–443, 2011.
Baek, B. H. and Seppanen, C.: Sparse Matrix Operator Kernel Emissions
(SMOKE) modeling system, Zenodo, https://doi.org/10.5281/zenodo.1421403, 2018.
Balch, J. K., Bradley, B. A., Abatzoglou, J. T., Nagy, R. C., Fusco, E. J.,
and Mahood, A. L.: Human-started wildfires expand the fire niche across the
United States, P. Natl. Acad. Sci. USA, 114, 2946–2951, 2017.
Blanchard, C. L., Hidy, G. M., Tanenbaum, S., Edgerton, E. S., and Hartsell,
B. E.: The Southeastern Aerosol Research and Characterization (SEARCH)
study: Spatial variations and chemical climatology, 1999–2010, J. Air Waste
Manage., 63, 260–275, https://doi.org/10.1080/10962247.2012.749816, 2013.
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.
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, 51–76, https://doi.org/10.1115/1.2128636, 2006.
Chang, J. S. and Hanna, S. R.: Air quality model performance evaluation,
Meteorol. Atmos. Phys., 87, 167–196, https://doi.org/10.1007/s00703-003-0070-7, 2004.
Daly, C., Gibson, W. P., Taylor, G. H., Johnson, G. L., and Pasteris, P.: A
knowledge-based approach to the statistical mapping of climate, Clim. Res.,
22, 99–113, 2002.
Dennis, R., Fox, T., Fuentes, M., Gilliland, A., Hanna, S., Hogrefe, C.,
Irwin, J., Rao, S. T., Scheffe, R., Schere, K., Steyn, D., and Venkatram,
A.: A framework for evaluating regional-scale photochemical modeling
systems, Environ. Fluid Mech., 10, 471–489, https://doi.org/10.1007/s10652-009-9163-2,
2010.
Dennison, P. E., Brewer, S. C., Arnold, J. D., and Moritz, M. A.: Large
wildfire trends in the western United States, 1984–2011, Geophys. Res.
Lett., 41, 2928–2933, https://doi.org/10.1002/2014GL059576, 2014.
Donahue, N., Chuang, W., Epstein, S., Kroll, J., Worsnop, D., Robinson, A.,
Adams, P., and Pandis, S.: Why do organic aerosols exist? Understanding
aerosol lifetimes using the two-dimensional volatility basis set, Environ.
Chem., 10, 151–157, 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 Manage., 67, 582–598, https://doi.org/10.1080/10962247.2016.1265027, 2017.
Fann, N., Alman, B., Broome, R. A., Morgan, G. G., Johnston, F. H., Pouliot,
G., and Rappold, A.: The health impacts and economic value of wildland fire
episodes in the U.S.: 2008–2012, Sci. Total Environ., 610–611, 802–809,
https://doi.org/10.1016/j.scitotenv.2017.08.024, 2018.
Flato, G. M.: The third version of the Canadian Centre for Climate
Modeling and Analysis Coupled Global Climate Model (CGCM3), available at:
http://www.ec.gc.ca/ccmac-cccma/default.asp?n=1299529F-1 (last access: 12 December 2018), 2005.
Fox, D. G.: Judging air quality model performance: A summary of the AMS
Workshop on Dispersion Model Performance, B. Am. Meteorol. Soc., 62,
599–609, 1981.
Gachon, P., Harding, A., and Radojevic, M.: Predictor datasets derived from
the CGCM3.1 T47 and NCEP/NCAR reanalysis, Montreìal, QC, 2008.
Gaither, C. J., Poudyal, N. C., Goodrick, S., Bowker, J. M., Malone, S., and
Gan, J.: Wildland fire risk and social vulnerability in the Southeastern
United States: An exploratory spatial data analysis approach, Forest Policy
Econ., 13, 24–36, https://doi.org/10.1016/j.forpol.2010.07.009, 2011.
Grell, G. A. and Devenyi, D.: A generalized approach to parameterizing
convection combining ensemble and data assimilation techniques, Geophys.
Res. Lett., 29, 1693–1697, 2002.
Houyoux, M. R., Vukovich, J. M., Coats Jr., C. J. C., Wheeler, N. J. M., and
Kasibhatla, P. S.: Emission inventory development and processing for the
Seasonal Model for Regional Air Quality (SMRAQ) project, J. Geophys. Res.,
105, 9079–9090, 2000.
Jeong, D., St-Hilaire, A., Ouarda, T., and Gachon, P.: CGCM3 predictors used
for daily temperature and precipitation downscaling in southern
Queìbec, Canada, Theor. Appl. Climatol., 107, 389–406, 2012.
Joyce, L. A., Price, D. T., Coulson, D. P., McKenney, D. W., Siltanen, R.
M., Papadopol, P., and Lawrence, K.: Projecting climate change in the United
States: A technical document supporting the Forest Service RPA 2010
Assessment, USDA Forest Service, Rocky Mountain Research Station, General
Technical Report RMRS-GTR-320, Fort Collins, CO, 2014.
Katragkou, E., García-Díez, M., Vautard, R., Sobolowski, S., Zanis, P., Alexandri, G., Cardoso, R. M., Colette, A., Fernandez, J., Gobiet, A., Goergen, K., Karacostas, T., Knist, S., Mayer, S., Soares, P. M. M., Pytharoulis, I., Tegoulias, I., Tsikerdekis, A., and Jacob, D.: Regional climate hindcast simulations within EURO-CORDEX: evaluation of a WRF multi-physics ensemble, Geosci. Model Dev., 8, 603–618, https://doi.org/10.5194/gmd-8-603-2015, 2015.
Kelly, J. T., Baker, K. R., Nowak, J. B., Murphy, J. G., Markovic, M. Z.,
VandenBoer, T. C., Ellis, R. A., Neuman, J. A., Weber, R. J., Roberts, J.
M., Veres, P. R., de Gouw, J. A., Beaver, M. R., Newman, S., and Misenis,
C.: Fine-scale simulation of ammonium and nitrate over the South Coast Air
Basin and San Joaquin Valley of California during CAL-NEX 2010, J. Geophys.
Res.-Atmos., 119, 3600–3614, https://doi.org/10.1002/2013JD021290, 2014.
Koo, B., Knipping, E., and Yarwood, G.: 1.5-Dimensional Volatility Basis
Set approach for modeling organic aerosol in CAMx and CMAQ, Atmos. Environ.,
95, 158–164, 2014.
Larkin, N. K., O'Neill, S. M., Solomon, R., Raffuse, S., Rorig, M.,
Peterson, J., and Ferguson, S. A.: The BlueSky smoke modeling framework,
Int. J. Wildland Fire, 18, 906–920, 2009.
Littell, J. S., McKenzie, D., Peterson, D. L., and Westerling, A. L.:
Climate and wildfire area burned in western U.S. ecoprovinces, 1916–2003,
Ecol. Appl., 19, 1003–1021, 2009.
Littell, J. S., McKenzie, D., Wan, H. Y., and Cushman, S. A.: Climate change
and future wildfire in the western USA: an ecological approach to
non-stationarity, Earths Future, 6, https://doi.org/10.1029/2018EF000878,
2018.
Liu, Y., Goodrick, S. L., and Stanturf, J.: Future U.S. wildfire potential
trends projected using a dynamically downscaled climate change scenario,
Forest Ecol. Manag., 294, 120–135, https://doi.org/10.1016/j.foreco.2012.06.049, 2013.
McKenzie, D., O'Neill, S. M., Larkin, N., and Norheim, R. A.: Integrating
models to predict regional haze from wildland fire, Ecol. Modell., 199,
278–288, 2006.
McKenzie, D., Shankar, U., Keane, R. E., Stavros, E. N., Heilman, W. E.,
Fox, D. G., and Riebau, A. C.: Smoke consequences of new wildfire regimes
driven by climate change, Earths Future, 2, 35–59, https://doi.org/10.1002/2013EF000180,
2014.
Mearns, L. O., Gutowski, W. J., Jones, R., Leung, L.-Y., McGinnis, S., Nunes,
A. M. B., and Qian, Y.: A regional climate change assessment program for
North America, Earth Obs. Sys., 90, 311–312, 2009.
Mercer, D. E. and Prestemon, J. P.: Comparing production function models for
wildfire risk analysis in the Wildland-Urban Interface, Forest Policy Econ.,
7, 782–795, https://doi.org/10.1016/j.forpol.2005.03.003, 2005.
Nakicenovic, N. and Steward, R. (Eds.): Special Report on Emissions
Scenarios: A Special Report of Working Group III of the Intergovernmental
Panel on Climate Change, Cambridge University Press, Cambridge, UK, available at: http://www.grida.no/climate/ipcc/emission/index.htm (last access: 4 August 2017), 2000.
Napelenok, S., Vedantham, R., Bhave, P. V., Pouliot, G. A., and Kwok, R. H.
F.: Source-receptor reconciliation of fine-particulate emissions from
residential wood combustion in the southeastern United States, Atmos.
Environ., 98, 454–460, 2014.
Pouliot, G., Pace, T., Roy, B., Pierce, T., and Mobley, D.: Development of a
biomass burning emission inventory by combining satellite and ground-based
information, J. Appl. Remote Sens., 2, 021501, https://doi.org/10.1117/1.2939551, 2008.
Pouliot, G., Pierce, T., Van der Gon, H. D., Schaap, M., Moran, M., and
Nopmongcol, U.: Comparing emission inventories and model-ready emission
datasets between Europe and North America for the AQMEII project, Atmos.
Environ., 53, 4–14, 2012.
Prestemon, J. P., Pye, J. M., Butry, D. T., Holmes, T. P., and Mercer, D.:
Understanding broad scale wildfire risks in a human-dominated landscape,
Forest Sci., 48, 685–693, 2002.
Prestemon, J. P., Hawbaker, T. J., Bowden, M., Carpenter, J., Scranton, S.,
Brooks, M. T., Sutphen, R., and Abt, K. L.: Wildfire Ignitions: A Review of
the Science and Recommendations for Empirical Modeling, USDA Forest Service
General Technical Report SRS-171, Asheville, NC, 2013.
Prestemon, J. P., Shankar, U., Xiu, A., Talgo, K., Yang, D., Dixon, E.,
McKenzie, D., and Abt, K.: Projecting wildfire area burned in the
south-eastern United States, 2011–2060, Int. J. Wildland Fire, 25, 715–729,
https://doi.org/10.1071/WF15124, 2016.
Prospero, J. M.: Long-range transport of mineral dust in the global
atmosphere: Impact of African dust on the environment of the southeastern
United States, P. Natl. Acad. Sci. USA, 96, 3396–3403, 1999.
Prospero, J. M., Collard, F.-X., Molinié, J., and Jeannot, A.:
Characterizing the annual cycle of African dust transport, to the Caribbean
Basin and South America and its impact on the environment and air quality,
Global Biogeochem. Cy., 29, 757–773, https://doi.org/10.1002/2013GB004802, 2014.
Pye, H. O. T., Luecken, D. J., Xu, L., Boyd, C. M., Ng, N. L., Baker, K. R.,
Ayres, B. R., Bash, J. O., Baumann, K., Carter, W. P. L., Edgerton, E., Fry,
J. L., Hutzell, W. T., Schwede, D. B., and Shepson, P. B.: Modeling the
current and future roles of particulate organic nitrates in the Southeastern
United States, Environ. Sci. Technol., 49, 14195–14203, 2015.
Raffuse, S. M., Pryden, D. A., Sullivan, D. C., Larkin, N. K.,
Strand, T., and Solomon, R.: SMARTFIRE Algorithm Description, Paper prepared
for the U.S. Environmental Protection Agency, Research Triangle Park, NC, by
Sonoma Technology, Inc., Petaluma, CA, and the U.S. Forest Service, AirFire
Team, Pacific Northwest Research Laboratory, Seattle, WA STI-905517e3719,
2009.
Rappold, A., Stone, S. L., Cascio, W. E., Neas, L. M., Kilaru, V. J.,
Carraway, M. S., Szykman, J. J., Ising, A., Cleve, W. E., Meredith, J. T.,
Vaughan-Batten, H., Deyneka, L., and Devlin, R. B.: Peat bog wildfire smoke
exposure in rural North Carolina is associated with cardiopulmonary
emergency department visits assessed through syndromic surveillance,
Environ. Health Persp., 119, 1415–1420, 2011.
Rappold, A. G., Cascio, W. E., Kilaru, V. J., Stone, S. L., Neas, L. M.,
Devlin, R. B., and Diaz-Sanchez, D.: Cardio-respiratory outcomes associated
with exposure to wildfire smoke are modified by measures of community
health, Environ. Health-Glob., 11, 71–80, https://doi.org/10.1186/1476-069X-11-71,
2012.
Rappold, A. G., Fann, N. L., Crooks, J., Huang, J., Cascio, W. E., Devlin,
R. B., and Diaz-Sanchez, D.: Forecast-based interventions can reduce the
health and economic burden of wildfires, Environ. Sci. Technol., 48, 10571–10579, https://doi.org/10.1021/es5012725, 2014.
Reff, A., Bhave, P. V., Simon, H., Pace, T. G., Pouliot, G. A., Mobley, J.
D., and Houyoux, M.: Emissions inventory of PM2.5 trace elements across
the United States, Environ. Sci. Technol., 43, 5790–5796, 2009.
Sarwar, G., Appel, K. W., Carlton, A. G., Mathur, R., Schere, K., Zhang, R., and Majeed, M. A.: Impact of a new condensed toluene mechanism on air quality model predictions in the US, Geosci. Model Dev., 4, 183–193, https://doi.org/10.5194/gmd-4-183-2011, 2011.
Shankar, U. Prestemon, J. P., McKenzie, D., Talgo, K., Xi, A., Omary, M.,
Baek, B. H., Yang, D., and Vizuete, W.: Projecting wildfire emissions over
the south-eastern United States to mid-century, Int. J. Wildland Fire, 27,
313–328, https://doi.org/10.1071/WF17116, 2018.
Simon, H. and Bhave, P. V.: Simulating the degree of oxidation in
atmospheric organic particles, Environ. Sci. Technol., 46, 331–339, 2012.
Sisler, J. F., Huffman, D., Latimer, D. A., Malm, W. C., and Pitchford, M.
L.: Spatial and temporal patterns and the chemical composition of the haze
in the United States: An analysis of data from the IMPROVE network, 1988–1991, Cooperative Institute for Research in the Atmosphere, Colorado State
University, ISSN No. 0737-5352-26, Fort Collins, CO, 1993.
Skamarock, W., Klemp, J. B., Dudhia, J., Gill, D. O., Barker, D. M., Duda,
M. G., Huang, X.-Y., Wang, W., and Powers, J. G.: A Description of the
Advanced Research WRF Version 3, NCAR/TN-475+STR, Boulder, CO, 2008.
Soja, A. J., Al-Saadi, J., Giglio, L., Randall, D., Kittaka, C., Pouliot,
G., Kordzi, J. J., Raffuse, S., Pace, T. G., Pierce, T. E., Moore, T., Roy,
B., Pierce, R. B., and Szykman, J. J.: Assessing satellite-based fire data
for use in the National Emissions Inventory, J. Appl. Remote Sens., 3,
031504, https://doi.org/10.1117/1.3148859, 2009.
Spero, T. L., Otte, M. J., Bowden, J. H., and Nolte, C. G.: Improving the
representation of clouds, radiation, and precipitation using spectral
nudging in the Weather Research and Forecasting model, J. Geophys. Res.-Atmos., 119, 11682–11694, https://doi.org/10.1002/2014JD022173, 2014.
Stavros, E. N., Abatzoglou, J., Larkin, N. K., McKenzie, D., and Steel, E.
A.: Climate and very large wildland fires in the contiguous western USA,
Int. J. Wildland Fire, 23, 899–914, https://doi.org/10.1071/WF13169, 2014.
Syphard, A. D., Keeley, J. E., Pfaff, A. H., and Ferschweiler, K.: Human
presence diminishes the importance of climate in driving fire activity
across the United States, P. Natl. Acad. Sci. USA, 114, 13750–13755,
https://doi.org/10.1073/pnas.1713885114, 2017.
U.S. Census Bureau: Population estimates, 2018, available at: https://www.census.gov/programs-surveys/popest/data/data-sets.All.html, last access: 8 December 2018.
U.S. EPA: Guidance on the use of models and other analyses for demonstrating
attainment of air quality goals for ozone, PM2.5, and regional haze.
U.S. Environmental Protection Agency Report EPA-454/B-07-002, U.S.
Environmental Protection Agency, Office of Air Quality Planning and
Standards, Research Triangle Park, NC 27711, USA, available at: https://www3.epa.gov/scram001/guidance/guide/final-03-pm-rh-guidance.pdf
(last access: 12 December 2018), 2007.
Vennam, L. P., Arunachalam, S., Bowden, J., Baek, B. H., Omary, M. O.,
Vizuete, W., and Olsen, S.: Modeled Trends in Impacts of Landing and Takeoff
Aircraft Emissions on Surface Air-Quality in U.S for 2005, 2010 and 2018.
Presented at the 13th Annual CMAS Conference, 27–29 October 2014, Chapel Hill, NC, available at: https://www.cmascenter.org/conference/2014/agenda.cfm (last access: 25 November 2019), 2014.
Whitten, G. Z., Heo, G., Kimura, Y., McDonald-Buller, E., Allen, D. T.,
Carter, W. P. L., and Yarwood, G.: A new condensed toluene mechanism for
Carbon Bond: CB05-TU, Atmos. Environ., 44, 5346–5355, 2010.
Wilkins, J. L., Pouliot, G., Foley, K., Appel, W., and Pierce, T.: The
impact of US wildland fires on ozone and particulate matter: a comparison of
measurements and CMAQ model predictions from 2008 to 2012, Int. J. Wildland
Fire, 27, 684–698, https://doi.org/10.1071/WF18053, 2018.
Wong, D. C., Pleim, J., Mathur, R., Binkowski, F., Otte, T., Gilliam, R., Pouliot, G., Xiu, A., Young, J. O., and Kang, D.: WRF-CMAQ two-way coupled system with aerosol feedback: software development and preliminary results, Geosci. Model Dev., 5, 299–312, https://doi.org/10.5194/gmd-5-299-2012, 2012.
Woody, M. C., Baker, K. R., Hayes, P. L., Jimenez, J. L., Koo, B., and Pye, H. O. T.: Understanding sources of organic aerosol during CalNex-2010 using the CMAQ-VBS, Atmos. Chem. Phys., 16, 4081–4100, https://doi.org/10.5194/acp-16-4081-2016, 2016.
Yu, S., Eder, B., Dennis, R., Chu, S.-H., and Schwarz, S.: New unbiased
symmetric metrics for evaluation of air quality models, Atmos. Sci. Lett.,
7, 26–34, 2006.
Short summary
We evaluate two wildfire emissions estimates for the southeastern US, based on projected annual areas burned in 2011–2060, against a benchmark wildfire inventory in air quality (AQ) simulations for 2010 and AQ network observations. Our emissions estimates compare well with the benchmark but all three simulations have large biases compared to observations. We find our methods suitable to assess current and future wildfire AQ impacts but also identify areas for AQ model improvements.
We evaluate two wildfire emissions estimates for the southeastern US, based on projected annual...
Altmetrics
Final-revised paper
Preprint