Articles | Volume 24, issue 1
https://doi.org/10.5194/acp-24-41-2024
© Author(s) 2024. 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-24-41-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Utility of Geostationary Lightning Mapper-derived lightning NO emission estimates in air quality modeling studies
Peiyang Cheng
CORRESPONDING AUTHOR
Zhejiang Climate Center, Zhejiang Meteorological Bureau, Hangzhou, Zhejiang, 310052, China
Department of Atmospheric and Earth Science, University of Alabama in Huntsville, Huntsville, AL 35805, USA
Arastoo Pour-Biazar
Earth System Science Center, University of Alabama in Huntsville, Huntsville, AL 35805, USA
Yuling Wu
Earth System Science Center, University of Alabama in Huntsville, Huntsville, AL 35805, USA
Shi Kuang
Earth System Science Center, University of Alabama in Huntsville, Huntsville, AL 35805, USA
Richard T. McNider
Department of Atmospheric and Earth Science, University of Alabama in Huntsville, Huntsville, AL 35805, USA
William J. Koshak
Earth Science Branch, NASA Marshall Space Flight Center, Huntsville, AL 35808, USA
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Matthew S. Johnson, Alexei Rozanov, Mark Weber, Nora Mettig, John Sullivan, Michael J. Newchurch, Shi Kuang, Thierry Leblanc, Fernando Chouza, Timothy A. Berkoff, Guillaume Gronoff, Kevin B. Strawbridge, Raul J. Alvarez, Andrew O. Langford, Christoph J. Senff, Guillaume Kirgis, Brandi McCarty, and Larry Twigg
Atmos. Meas. Tech., 17, 2559–2582, https://doi.org/10.5194/amt-17-2559-2024, https://doi.org/10.5194/amt-17-2559-2024, 2024
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Monitoring tropospheric ozone (O3), a harmful pollutant negatively impacting human health, is primarily done using ground-based measurements and ozonesondes. However, these observation types lack the coverage to fully understand tropospheric O3. Satellites can retrieve tropospheric ozone with near-daily global coverage; however, they are known to have biases and errors. This study uses ground-based lidars to validate multiple satellites' ability to observe tropospheric O3.
Nora Mettig, Mark Weber, Alexei Rozanov, John P. Burrows, Pepijn Veefkind, Anne M. Thompson, Ryan M. Stauffer, Thierry Leblanc, Gerard Ancellet, Michael J. Newchurch, Shi Kuang, Rigel Kivi, Matthew B. Tully, Roeland Van Malderen, Ankie Piters, Bogumil Kois, René Stübi, and Pavla Skrivankova
Atmos. Meas. Tech., 15, 2955–2978, https://doi.org/10.5194/amt-15-2955-2022, https://doi.org/10.5194/amt-15-2955-2022, 2022
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Vertical ozone profiles from combined spectral measurements in the UV and IR spectral ranges were retrieved by using data from TROPOMI/S5P and CrIS/Suomi-NPP. The vertical resolution and accuracy of the ozone profiles are improved by combining both wavelength ranges compared to retrievals limited to UV or IR spectral data only. The advancement of our TOPAS algorithm for combined measurements is required because in the UV-only retrieval the vertical resolution in the troposphere is very limited.
Liqiao Lei, Timothy A. Berkoff, Guillaume Gronoff, Jia Su, Amin R. Nehrir, Yonghua Wu, Fred Moshary, and Shi Kuang
Atmos. Meas. Tech., 15, 2465–2478, https://doi.org/10.5194/amt-15-2465-2022, https://doi.org/10.5194/amt-15-2465-2022, 2022
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Aerosol extinction in the UVB (280–315 nm) is difficult to retrieve using simple lidar techniques due to the lack of lidar ratios at those wavelengths. The 2018 Long Island Sound Tropospheric Ozone Study (LISTOS) in the New York City region provided the opportunity to characterize the lidar ratio for UVB aerosol retrieval for the Langley Mobile Ozone Lidar (LMOL). A 292 nm aerosol product comparison between the NASA Langley High Altitude Lidar Observatory (HALO) and LMOL was also carried out.
Jia Su, M. Patrick McCormick, Matthew S. Johnson, John T. Sullivan, Michael J. Newchurch, Timothy A. Berkoff, Shi Kuang, and Guillaume P. Gronoff
Atmos. Meas. Tech., 14, 4069–4082, https://doi.org/10.5194/amt-14-4069-2021, https://doi.org/10.5194/amt-14-4069-2021, 2021
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A new technique using a three-wavelength differential absorption lidar (DIAL) technique based on an optical parametric oscillator (OPO) laser is proposed to obtain more accurate measurements of NO2. The retrieval uncertainties in aerosol extinction using the three-wavelength DIAL technique are reduced to less than 2 % of those when using the two-wavelength DIAL technique. Hampton University (HU) lidar NO2 profiles are compared with simulated data from the WRF-Chem model, and they agree well.
Shi Kuang, Bo Wang, Michael J. Newchurch, Kevin Knupp, Paula Tucker, Edwin W. Eloranta, Joseph P. Garcia, Ilya Razenkov, John T. Sullivan, Timothy A. Berkoff, Guillaume Gronoff, Liqiao Lei, Christoph J. Senff, Andrew O. Langford, Thierry Leblanc, and Vijay Natraj
Atmos. Meas. Tech., 13, 5277–5292, https://doi.org/10.5194/amt-13-5277-2020, https://doi.org/10.5194/amt-13-5277-2020, 2020
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Ozone lidar is a state-of-the-art remote-sensing instrument to measure atmospheric ozone concentrations with high spatiotemporal resolution. In this study, we show that an ozone lidar can also provide reliable aerosol measurements through intercomparison with colocated aerosol lidar observations.
Ruixiong Zhang, Yuhang Wang, Charles Smeltzer, Hang Qu, William Koshak, and K. Folkert Boersma
Atmos. Meas. Tech., 11, 3955–3967, https://doi.org/10.5194/amt-11-3955-2018, https://doi.org/10.5194/amt-11-3955-2018, 2018
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This study focuses on how to improve OMI NO2 retrievals for trend analysis. We retrieve OMI tropospheric NO2 vertical column densities (VCDs) and obtain the NO2 seasonal trends over the United States, which are compared with coincident in situ surface NO2 measurements from the Air Quality System network. We find that three procedures are essential in comparing both datasets, including the ocean trend removal, the albedo update, and the lightning filter.
Matthew S. Johnson, Xiong Liu, Peter Zoogman, John Sullivan, Michael J. Newchurch, Shi Kuang, Thierry Leblanc, and Thomas McGee
Atmos. Meas. Tech., 11, 3457–3477, https://doi.org/10.5194/amt-11-3457-2018, https://doi.org/10.5194/amt-11-3457-2018, 2018
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This research was conducted to determine the impact of multiple a priori ozone (O3) profile products on Tropospheric Emissions: Monitoring of Pollution (TEMPO) satellite retrievals. It was determined that non-climatological model predictions, in particular those from a chemical transport model, when applied as the a priori profile improved the accuracy of TEMPO tropospheric O3 retrievals in comparison to the TB-Clim product that is currently suggested for use in the TEMPO retrieval algorithm.
Lihua Wang, Michael J. Newchurch, Raul J. Alvarez II, Timothy A. Berkoff, Steven S. Brown, William Carrion, Russell J. De Young, Bryan J. Johnson, Rene Ganoe, Guillaume Gronoff, Guillaume Kirgis, Shi Kuang, Andrew O. Langford, Thierry Leblanc, Erin E. McDuffie, Thomas J. McGee, Denis Pliutau, Christoph J. Senff, John T. Sullivan, Grant Sumnicht, Laurence W. Twigg, and Andrew J. Weinheimer
Atmos. Meas. Tech., 10, 3865–3876, https://doi.org/10.5194/amt-10-3865-2017, https://doi.org/10.5194/amt-10-3865-2017, 2017
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Intercomparisons have been made between three TOLNet ozone lidars and between the lidars and other ozone instruments during the 2014 DISCOVER-AQ and FRAPPÉ campaigns in Colorado. Overall, the TOLNet lidars are capable of measuring 5 min tropospheric ozone variations with accuracy better than ±15 % in terms of their vertical resolving capability and better than ±5 % in terms of their column average measurement. These results indicate very good measurement accuracy for the three TOLNet lidars.
Katherine R. Travis, Daniel J. Jacob, Christoph A. Keller, Shi Kuang, Jintai Lin, Michael J. Newchurch, and Anne M. Thompson
Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2017-596, https://doi.org/10.5194/acp-2017-596, 2017
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Models severely overestimate surface ozone in the Southeast US during summertime which has implications for the design of air quality regulations. We use a model (GEOS-Chem) to interpret ozone observations from a suite of observations taken during August–September 2013. The model is unbiased relative to observations below 1 km but is biased high at the surface. We attribute this bias to model representation error, an underestimate in low-cloud, and insufficient treatment of vertical mixing.
W. Tang, D. S. Cohan, A. Pour-Biazar, L. N. Lamsal, A. T. White, X. Xiao, W. Zhou, B. H. Henderson, and B. F. Lash
Atmos. Chem. Phys., 15, 1601–1619, https://doi.org/10.5194/acp-15-1601-2015, https://doi.org/10.5194/acp-15-1601-2015, 2015
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A joint application of multiple satellite-derived model inputs to improve Texas O3 SIP modeling is demonstrated in this study. The GOES-retrieved clouds are applied to correct the modeled photolysis rates, and the DKF inversion approach is incorporated into the CAMx-DDM model to adjust NOx emissions using OMI NO2. Using both GOES-derived photolysis rates and OMI-constrained NOx emissions together improves O3 simulations and makes O3 more sensitive to NOx emissions in the O3 non-attainment areas.
U. S. Nair, Y. Wu, C. D. Holmes, A. Ter Schure, G. Kallos, and J. T. Walters
Atmos. Chem. Phys., 13, 10143–10157, https://doi.org/10.5194/acp-13-10143-2013, https://doi.org/10.5194/acp-13-10143-2013, 2013
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Subject: Gases | Research Activity: Atmospheric Modelling and Data Analysis | Altitude Range: Troposphere | Science Focus: Chemistry (chemical composition and reactions)
High-resolution US methane emissions inferred from an inversion of 2019 TROPOMI satellite data: contributions from individual states, urban areas, and landfills
Summertime tropospheric ozone source apportionment study in the Madrid region (Spain)
CO anthropogenic emissions in Europe from 2011 to 2021: insights from Measurement of Pollution in the Troposphere (MOPITT) satellite data
Constraining long-term NOx emissions over the United States and Europe using nitrate wet deposition monitoring networks
Analysis of an intense O3 pollution episode on the Atlantic coast of the Iberian Peninsula using photochemical modeling: characterization of transport pathways and accumulation processes
Atmospheric oxygen as a tracer for fossil fuel carbon dioxide: a sensitivity study in the UK
MIXv2: a long-term mosaic emission inventory for Asia (2010–2017)
Organosulfate produced from consumption of SO3 speeds up sulfuric acid–dimethylamine atmospheric nucleation
Contribution of expanded marine sulfur chemistry to the seasonal variability of dimethyl sulfide oxidation products and size-resolved sulfate aerosol
Spatial disparities of ozone pollution in the Sichuan Basin spurred by extreme, hot weather
Global impacts of aviation on air quality evaluated at high resolution
Bias correction of OMI HCHO columns based on FTIR and aircraft measurements and impact on top-down emission estimates
Investigation of the renewed methane growth post-2007 with high-resolution 3-D variational inverse modeling and isotopic constraints
Revisiting day-of-week ozone patterns in an era of evolving US air quality
Air quality and radiative impacts of downward-propagating sudden stratospheric warmings (SSWs)
Estimation of the atmospheric hydroxyl radical oxidative capacity using multiple hydrofluorocarbons (HFCs)
Investigating the differences in calculating global mean surface CO2 abundance: the impact of analysis methodologies and site selection
Meteorological characteristics of extreme ozone pollution events in China and their future predictions
Evaluating modelled tropospheric columns of CH4, CO, and O3 in the Arctic using ground-based Fourier transform infrared (FTIR) measurements
The high-resolution Global Aviation emissions Inventory based on ADS-B (GAIA) for 2019–2021
Zonal variability of methane trends derived from satellite data
Weekly derived top-down volatile-organic-compound fluxes over Europe from TROPOMI HCHO data from 2018 to 2021
Technical note: Challenges of detecting free tropospheric ozone trends in a sparsely sampled environment
Current status of model predictions of volatile organic compounds and impacts on surface ozone predictions during summer in China
The suitability of atmospheric oxygen measurements to constrain western European fossil-fuel CO2 emissions and their trends
Future tropospheric ozone budget and distribution over east Asia under a net-zero scenario
Comprehensive multiphase chlorine chemistry in the box model CAABA/MECCA: implications for atmospheric oxidative capacity
Insights into soil NO emissions and the contribution to surface ozone formation in China
The impact of gaseous degradation on the equilibrium state of gas/particle partitioning of semi-volatile organic compounds
An intercomparison of satellite, airborne, and ground-level observations with WRF-CAMx simulations of NO2 columns over Houston, TX during the September 2021 TRACER-AQ campaign
Development, intercomparison, and evaluation of an improved mechanism for the oxidation of dimethyl sulfide in the UKCA model
A better representation of VOC chemistry in WRF-Chem and its impact on ozone over Los Angeles
Technical note: An assessment of the performance of statistical bias correction techniques for global chemistry-climate model surface ozone fields
The atmospheric oxidizing capacity in China – Part 1: Roles of different photochemical processes
Benefits of net-zero policies for future ozone pollution in China
Simulating impacts on UK air quality from net-zero forest planting scenarios
Understanding offshore high-ozone events during TRACER-AQ 2021 in Houston: insights from WRF–CAMx photochemical modeling
Opinion: Establishing a science-into-policy process for tropospheric ozone assessment
Atmospheric composition and climate impacts of a future hydrogen economy
Assessment of isoprene and near-surface ozone sensitivities to water stress over the Euro-Mediterranean region
The impact multi-decadal of changes in VOCs speciation on urban ozone chemistry: A case study in Birmingham, United Kingdom
Nighttime ozone in the lower boundary layer: insights from 3-year tower-based measurements in South China and regional air quality modeling
What controls ozone sensitivity in the upper tropical troposphere?
Modelling the impacts of emission changes on O3 sensitivity, atmospheric oxidation capacity, and pollution transport over the Catalonia region
A regional modelling study of halogen chemistry within a volcanic plume of Mt Etna's Christmas 2018 eruption
Constraining the budget of atmospheric carbonyl sulfide using a 3-D chemical transport model
Atmospheric CO2 inversion reveals the Amazon as a minor carbon source caused by fire emissions, with forest uptake offsetting about half of these emissions
Rapid O3 assimilations – Part 2: Tropospheric O3 changes accompanied by declining NOx emissions in the USA and Europe in 2005–2020
High-resolution air quality simulations of ozone exceedance events during the Lake Michigan Ozone Study
Simulations of winter ozone in the Upper Green River basin, Wyoming, using WRF-Chem
Hannah Nesser, Daniel J. Jacob, Joannes D. Maasakkers, Alba Lorente, Zichong Chen, Xiao Lu, Lu Shen, Zhen Qu, Melissa P. Sulprizio, Margaux Winter, Shuang Ma, A. Anthony Bloom, John R. Worden, Robert N. Stavins, and Cynthia A. Randles
Atmos. Chem. Phys., 24, 5069–5091, https://doi.org/10.5194/acp-24-5069-2024, https://doi.org/10.5194/acp-24-5069-2024, 2024
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We quantify 2019 methane emissions in the contiguous US (CONUS) at a ≈ 25 km × 25 km resolution using satellite methane observations. We find a 13 % upward correction to the 2023 US Environmental Protection Agency (EPA) Greenhouse Gas Emissions Inventory (GHGI) for 2019, with large corrections to individual states, urban areas, and landfills. This may present a challenge for US climate policies and goals, many of which target significant reductions in methane emissions.
David de la Paz, Rafael Borge, Juan Manuel de Andrés, Luis Tovar, Golam Sarwar, and Sergey L. Napelenok
Atmos. Chem. Phys., 24, 4949–4972, https://doi.org/10.5194/acp-24-4949-2024, https://doi.org/10.5194/acp-24-4949-2024, 2024
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This source apportionment modeling study shows that around 70 % of ground-level O3 in Madrid (Spain) is transported from other regions. Nonetheless, emissions from local sources, mainly road traffic, play a significant role, especially under atmospheric stagnation. Local measures during those conditions may be able to reduce O3 peaks by up to 30 % and, thus, lessen impacts from high-O3 episodes in the Madrid metropolitan area.
Audrey Fortems-Cheiney, Gregoire Broquet, Elise Potier, Robin Plauchu, Antoine Berchet, Isabelle Pison, Hugo Denier van der Gon, and Stijn Dellaert
Atmos. Chem. Phys., 24, 4635–4649, https://doi.org/10.5194/acp-24-4635-2024, https://doi.org/10.5194/acp-24-4635-2024, 2024
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We have estimated the carbon monixide (CO) European emissions from satellite observations of the MOPITT instrument at the relatively high resolution of 0.5° for a period of over 10 years from 2011 to 2021. The analysis of the inversion results reveals the challenges associated with the inversion of CO emissions at the regional scale over Europe.
Amy Christiansen, Loretta J. Mickley, and Lu Hu
Atmos. Chem. Phys., 24, 4569–4589, https://doi.org/10.5194/acp-24-4569-2024, https://doi.org/10.5194/acp-24-4569-2024, 2024
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In this work, we provide an additional constraint on emissions and trends of nitrogen oxides using nitrate wet deposition (NWD) fluxes over the United States and Europe from 1980–2020. We find that NWD measurements constrain total NOx emissions well. We also find evidence of NOx emission overestimates in both domains, but especially over Europe, where NOx emissions are overestimated by a factor of 2. Reducing NOx emissions over Europe improves model representation of ozone at the surface.
Eduardo Torre-Pascual, Gotzon Gangoiti, Ana Rodríguez-García, Estibaliz Sáez de Cámara, Joana Ferreira, Carla Gama, María Carmen Gómez, Iñaki Zuazo, Jose Antonio García, and Maite de Blas
Atmos. Chem. Phys., 24, 4305–4329, https://doi.org/10.5194/acp-24-4305-2024, https://doi.org/10.5194/acp-24-4305-2024, 2024
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We present an analysis of an intense air pollution episode of tropospheric ozone (O3) along the Atlantic coast of the Iberian Peninsula, incorporating both measured and simulated parameters. Our study extends beyond surface-level factors to include altitude-related parameters. These episodes stem from upper-atmosphere O3 accumulation in preceding days, transported to surface layers, causing rapid O3 concentration increase.
Hannah Chawner, Eric Saboya, Karina E. Adcock, Tim Arnold, Yuri Artioli, Caroline Dylag, Grant L. Forster, Anita Ganesan, Heather Graven, Gennadi Lessin, Peter Levy, Ingrid T. Luijkx, Alistair Manning, Penelope A. Pickers, Chris Rennick, Christian Rödenbeck, and Matthew Rigby
Atmos. Chem. Phys., 24, 4231–4252, https://doi.org/10.5194/acp-24-4231-2024, https://doi.org/10.5194/acp-24-4231-2024, 2024
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The quantity of atmospheric potential oxygen (APO), derived from coincident measurements of carbon dioxide (CO2) and oxygen (O2), has been proposed as a tracer for fossil fuel CO2 emissions. In this model sensitivity study, we examine the use of APO for this purpose in the UK and compare our model to observations. We find that our model simulations are most sensitive to uncertainties relating to ocean fluxes and boundary conditions.
Meng Li, Junichi Kurokawa, Qiang Zhang, Jung-Hun Woo, Tazuko Morikawa, Satoru Chatani, Zifeng Lu, Yu Song, Guannan Geng, Hanwen Hu, Jinseok Kim, Owen R. Cooper, and Brian C. McDonald
Atmos. Chem. Phys., 24, 3925–3952, https://doi.org/10.5194/acp-24-3925-2024, https://doi.org/10.5194/acp-24-3925-2024, 2024
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In this work, we developed MIXv2, a mosaic Asian emission inventory for 2010–2017. With high spatial (0.1°) and monthly temporal resolution, MIXv2 integrates anthropogenic and open biomass burning emissions across seven sectors following a mosaic methodology. It provides CO2 emissions data alongside nine key pollutants and three chemical mechanisms. Our publicly accessible gridded monthly emissions data can facilitate long-term atmospheric and climate model analyses.
Xiaomeng Zhang, Yongjian Lian, Shendong Tan, and Shi Yin
Atmos. Chem. Phys., 24, 3593–3612, https://doi.org/10.5194/acp-24-3593-2024, https://doi.org/10.5194/acp-24-3593-2024, 2024
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Atmospheric new particle formation (NPF) has a significant influence on the global climate, local air quality and human health. Using a combination of quantum chemical calculations and kinetics modeling, we find that thhe gas-phase organosulfate produced from consumption of SO3 can significantly enhance SA–DMA nucleation in the polluted boundary layer, resulting in non-negligible contributions to NPF. Our findings provide important insights into organic sulfur in atmospheric aerosol formation.
Linia Tashmim, William C. Porter, Qianjie Chen, Becky Alexander, Charles H. Fite, Christopher D. Holmes, Jeffrey R. Pierce, Betty Croft, and Sakiko Ishino
Atmos. Chem. Phys., 24, 3379–3403, https://doi.org/10.5194/acp-24-3379-2024, https://doi.org/10.5194/acp-24-3379-2024, 2024
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Dimethyl sulfide (DMS) is mostly emitted from ocean surfaces and represents the largest natural source of sulfur for the atmosphere. Once in the atmosphere, DMS forms stable oxidation products such as SO2 and H2SO4, which can subsequently contribute to airborne particle formation and growth. In this study, we update the DMS oxidation mechanism in the chemical transport model GEOS-Chem and describe resulting changes in particle growth as well as the overall global sulfur budget.
Nan Wang, Yunsong Du, Dongyang Chen, Haiyan Meng, Xi Chen, Li Zhou, Guangming Shi, Yu Zhan, Miao Feng, Wei Li, Mulan Chen, Zhenliang Li, and Fumo Yang
Atmos. Chem. Phys., 24, 3029–3042, https://doi.org/10.5194/acp-24-3029-2024, https://doi.org/10.5194/acp-24-3029-2024, 2024
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In the scorching August 2022 heatwave, China's Sichuan Basin saw a stark contrast in ozone (O3) levels between Chengdu and Chongqing. The regional disparities were studied considering meteorology, precursors, photochemistry, and transportation. The study highlighted the importance of tailored pollution control measures and underlined the necessity for region-specific strategies to combat O3 pollution on a regional scale.
Sebastian D. Eastham, Guillaume P. Chossière, Raymond L. Speth, Daniel J. Jacob, and Steven R. H. Barrett
Atmos. Chem. Phys., 24, 2687–2703, https://doi.org/10.5194/acp-24-2687-2024, https://doi.org/10.5194/acp-24-2687-2024, 2024
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Emissions from aircraft are known to cause air quality impacts worldwide, but the scale and mechanisms of this impact are not well understood. This work uses high-resolution computational modeling of the atmosphere to show that air pollution changes from aviation are mostly the result of emissions during cruise (high-altitude) operations, that these impacts are related to how much non-aviation pollution is present, and that prior regional assessments have underestimated these impacts.
Jean-François Müller, Trissevgeni Stavrakou, Glenn-Michael Oomen, Beata Opacka, Isabelle De Smedt, Alex Guenther, Corinne Vigouroux, Bavo Langerock, Carlos Augusto Bauer Aquino, Michel Grutter, James Hannigan, Frank Hase, Rigel Kivi, Erik Lutsch, Emmanuel Mahieu, Maria Makarova, Jean-Marc Metzger, Isamu Morino, Isao Murata, Tomoo Nagahama, Justus Notholt, Ivan Ortega, Mathias Palm, Amelie Röhling, Wolfgang Stremme, Kimberly Strong, Ralf Sussmann, Yao Té, and Alan Fried
Atmos. Chem. Phys., 24, 2207–2237, https://doi.org/10.5194/acp-24-2207-2024, https://doi.org/10.5194/acp-24-2207-2024, 2024
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Formaldehyde observations from satellites can be used to constrain the emissions of volatile organic compounds, but those observations have biases. Using an atmospheric model, aircraft and ground-based remote sensing data, we quantify these biases, propose a correction to the data, and assess the consequence of this correction for the evaluation of emissions.
Joël Thanwerdas, Marielle Saunois, Antoine Berchet, Isabelle Pison, and Philippe Bousquet
Atmos. Chem. Phys., 24, 2129–2167, https://doi.org/10.5194/acp-24-2129-2024, https://doi.org/10.5194/acp-24-2129-2024, 2024
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We investigate the causes of the renewed growth of atmospheric methane (CH4) after 2007 using inverse modeling. We use the additional information provided by observations of CH4 isotopic compositions to better differentiate between the emission categories. Accounting for the large uncertainties in source signatures, our results suggest that the post-2007 increase in atmospheric CH4 was caused by similar increases in emissions from (1) fossil fuels and (2) agriculture and waste.
Heather Simon, Christian Hogrefe, Andrew Whitehill, Kristen M. Foley, Jennifer Liljegren, Norm Possiel, Benjamin Wells, Barron H. Henderson, Lukas C. Valin, Gail Tonnesen, K. Wyat Appel, and Shannon Koplitz
Atmos. Chem. Phys., 24, 1855–1871, https://doi.org/10.5194/acp-24-1855-2024, https://doi.org/10.5194/acp-24-1855-2024, 2024
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We assess observed and modeled ozone weekend–weekday differences in the USA from 2002–2019. A subset of urban areas that were NOx-saturated at the beginning of the period transitioned to NOx-limited conditions. Multiple rural areas of California were NOx-limited for the entire period but become less influenced by local day-of-week emission patterns in more recent years. The model produces more NOx-saturated conditions than the observations but captures trends in weekend–weekday ozone patterns.
Ryan S. Williams, Michaela I. Hegglin, Patrick Jöckel, Hella Garny, and Keith P. Shine
Atmos. Chem. Phys., 24, 1389–1413, https://doi.org/10.5194/acp-24-1389-2024, https://doi.org/10.5194/acp-24-1389-2024, 2024
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During winter, a brief but abrupt reversal of the mean stratospheric westerly flow (~30 km high) around the Arctic occurs ~6 times a decade. Using a chemistry–climate model, about half of these events are shown to induce large anomalies in Arctic ozone (>25 %) and water vapour (>±25 %) around ~8–12 km altitude for up to 2–3 months, important for weather forecasting. We also calculate a doubling to trebling of the risk in breaches of mid-latitude surface air quality (ozone) standards (~60 ppbv).
Rona L. Thompson, Stephen A. Montzka, Martin K. Vollmer, Jgor Arduini, Molly Crotwell, Paul B. Krummel, Chris Lunder, Jens Mühle, Simon O'Doherty, Ronald G. Prinn, Stefan Reimann, Isaac Vimont, Hsiang Wang, Ray F. Weiss, and Dickon Young
Atmos. Chem. Phys., 24, 1415–1427, https://doi.org/10.5194/acp-24-1415-2024, https://doi.org/10.5194/acp-24-1415-2024, 2024
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The hydroxyl radical determines the atmospheric lifetimes of numerous species including methane. Since OH is very short-lived, it is not possible to directly measure its concentration on scales relevant for understanding its effect on other species. Here, OH is inferred by looking at changes in hydrofluorocarbons (HFCs). We find that OH levels have been fairly stable over our study period (2004 to 2021), suggesting that OH is not the main driver of the recent increase in atmospheric methane.
Zhendong Wu, Alex Vermeulen, Yousuke Sawa, Ute Karstens, Wouter Peters, Remco de Kok, Xin Lan, Yasuyuki Nagai, Akinori Ogi, and Oksana Tarasova
Atmos. Chem. Phys., 24, 1249–1264, https://doi.org/10.5194/acp-24-1249-2024, https://doi.org/10.5194/acp-24-1249-2024, 2024
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This study focuses on exploring the differences in calculating global surface CO2 and its growth rate, considering the impact of analysis methodologies and site selection. Our study reveals that the current global CO2 network has a good capacity to represent global surface CO2 and its growth rate, as well as trends in atmospheric CO2 mass changes. However, small differences exist in different analyses due to the impact of methodology and site selection.
Yang Yang, Yang Zhou, Hailong Wang, Mengyun Li, Huimin Li, Pinya Wang, Xu Yue, Ke Li, Jia Zhu, and Hong Liao
Atmos. Chem. Phys., 24, 1177–1191, https://doi.org/10.5194/acp-24-1177-2024, https://doi.org/10.5194/acp-24-1177-2024, 2024
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This study reveals that extreme ozone pollution over the North China Plain and Yangtze River Delta is due to the chemical production related to hot and dry conditions, and the regional transport explains the ozone pollution over the Sichuan Basin and Pearl River Delta. The frequency of meteorological conditions of the extreme ozone pollution increases from the past to the future. The sustainable scenario is the optimal path to retaining clean air in China in the future.
Victoria A. Flood, Kimberly Strong, Cynthia H. Whaley, Kaley A. Walker, Thomas Blumenstock, James W. Hannigan, Johan Mellqvist, Justus Notholt, Mathias Palm, Amelie N. Röhling, Stephen Arnold, Stephen Beagley, Rong-You Chien, Jesper Christensen, Makoto Deushi, Srdjan Dobricic, Xinyi Dong, Joshua S. Fu, Michael Gauss, Wanmin Gong, Joakim Langner, Kathy S. Law, Louis Marelle, Tatsuo Onishi, Naga Oshima, David A. Plummer, Luca Pozzoli, Jean-Christophe Raut, Manu A. Thomas, Svetlana Tsyro, and Steven Turnock
Atmos. Chem. Phys., 24, 1079–1118, https://doi.org/10.5194/acp-24-1079-2024, https://doi.org/10.5194/acp-24-1079-2024, 2024
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It is important to understand the composition of the Arctic atmosphere and how it is changing. Atmospheric models provide simulations that can inform policy. This study examines simulations of CH4, CO, and O3 by 11 models. Model performance is assessed by comparing results matched in space and time to measurements from five high-latitude ground-based infrared spectrometers. This work finds that models generally underpredict the concentrations of these gases in the Arctic troposphere.
Roger Teoh, Zebediah Engberg, Marc Shapiro, Lynnette Dray, and Marc E. J. Stettler
Atmos. Chem. Phys., 24, 725–744, https://doi.org/10.5194/acp-24-725-2024, https://doi.org/10.5194/acp-24-725-2024, 2024
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Emissions from aircraft contribute to climate change and degrade air quality. We describe an up-to-date 4D emissions inventory of global aviation from 2019 to 2021 based on actual flown trajectories. In 2019, 40.2 million flights collectively travelled 61 billion kilometres using 283 Tg of fuel. Long-haul flights were responsible for 43 % of CO2. The emissions inventory is made available for use in future studies to evaluate the negative externalities arising from global aviation.
Jonas Hachmeister, Oliver Schneising, Michael Buchwitz, John P. Burrows, Justus Notholt, and Matthias Buschmann
Atmos. Chem. Phys., 24, 577–595, https://doi.org/10.5194/acp-24-577-2024, https://doi.org/10.5194/acp-24-577-2024, 2024
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We quantified changes in atmospheric methane concentrations using satellite data and a dynamic linear model approach. We calculated global annual methane increases for the years 2019–2022, which are in good agreement with other sources. For zonal methane growth rates, we identified strong inter-hemispheric differences in 2019 and 2022. For 2022, we could attribute decreases in the global growth rate to the Northern Hemisphere, possibly related to a reduction in anthropogenic emissions.
Glenn-Michael Oomen, Jean-François Müller, Trissevgeni Stavrakou, Isabelle De Smedt, Thomas Blumenstock, Rigel Kivi, Maria Makarova, Mathias Palm, Amelie Röhling, Yao Té, Corinne Vigouroux, Martina M. Friedrich, Udo Frieß, François Hendrick, Alexis Merlaud, Ankie Piters, Andreas Richter, Michel Van Roozendael, and Thomas Wagner
Atmos. Chem. Phys., 24, 449–474, https://doi.org/10.5194/acp-24-449-2024, https://doi.org/10.5194/acp-24-449-2024, 2024
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Natural emissions from vegetation have a profound impact on air quality for their role in the formation of harmful tropospheric ozone and organic aerosols, yet these emissions are highly uncertain. In this study, we quantify emissions of organic gases over Europe using high-quality satellite measurements of formaldehyde. These satellite observations suggest that emissions from vegetation are much higher than predicted by models, especially in southern Europe.
Kai-Lan Chang, Owen R. Cooper, Audrey Gaudel, Irina Petropavlovskikh, Peter Effertz, Gary Morris, and Brian C. McDonald
EGUsphere, https://doi.org/10.5194/egusphere-2023-2739, https://doi.org/10.5194/egusphere-2023-2739, 2024
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The great majority of observational trend studies of free tropospheric ozone use sparsely sampled ozonesonde and aircraft measurements as reference datasets. A ubiquitous assumption is that trends are accurate and reliable so long as long-term records are available. We show that sampling bias due to sparse samples can persistently reduce the trend accuracy, and highlight the importance of maintaining adequate frequency and continuity of observations.
Yongliang She, Jingyi Li, Xiaopu Lyu, Hai Guo, Momei Qin, Xiaodong Xie, Kangjia Gong, Fei Ye, Jianjiong Mao, Lin Huang, and Jianlin Hu
Atmos. Chem. Phys., 24, 219–233, https://doi.org/10.5194/acp-24-219-2024, https://doi.org/10.5194/acp-24-219-2024, 2024
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In this study, we use multi-site volatile organic compound (VOC) measurements to evaluate the CMAQ-model-predicted VOCs and assess the impacts of VOC bias on O3 simulation. Our results demonstrate that current modeling setups and emission inventories are likely to underpredict VOC concentrations, and this underprediction of VOCs contributes to lower O3 predictions in China.
Christian Rödenbeck, Karina E. Adcock, Markus Eritt, Maksym Gachkivskyi, Christoph Gerbig, Samuel Hammer, Armin Jordan, Ralph F. Keeling, Ingeborg Levin, Fabian Maier, Andrew C. Manning, Heiko Moossen, Saqr Munassar, Penelope A. Pickers, Michael Rothe, Yasunori Tohjima, and Sönke Zaehle
Atmos. Chem. Phys., 23, 15767–15782, https://doi.org/10.5194/acp-23-15767-2023, https://doi.org/10.5194/acp-23-15767-2023, 2023
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The carbon dioxide content of the Earth atmosphere is increasing due to human emissions from burning of fossil fuels, causing global climate change. The strength of the fossil-fuel emissions is estimated by inventories based on energy data, but independent validation of these inventories has been recommended by the Intergovernmental Panel on Climate Change. Here we investigate the potential to validate inventories based on measurements of small changes in the atmospheric oxygen content.
Xuewei Hou, Oliver Wild, Bin Zhu, and James Lee
Atmos. Chem. Phys., 23, 15395–15411, https://doi.org/10.5194/acp-23-15395-2023, https://doi.org/10.5194/acp-23-15395-2023, 2023
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In response to the climate crisis, many countries have committed to net zero in a certain future year. The impacts of net-zero scenarios on tropospheric O3 are less well studied and remain unclear. In this study, we quantified the changes of tropospheric O3 budgets, spatiotemporal distributions of future surface O3 in east Asia and regional O3 source contributions for 2060 under a net-zero scenario using the NCAR Community Earth System Model (CESM) and online O3-tagging methods.
Meghna Soni, Rolf Sander, Lokesh K. Sahu, Domenico Taraborrelli, Pengfei Liu, Ankit Patel, Imran A. Girach, Andrea Pozzer, Sachin S. Gunthe, and Narendra Ojha
Atmos. Chem. Phys., 23, 15165–15180, https://doi.org/10.5194/acp-23-15165-2023, https://doi.org/10.5194/acp-23-15165-2023, 2023
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The study presents the implementation of comprehensive multiphase chlorine chemistry in the box model CAABA/MECCA. Simulations for contrasting urban environments of Asia and Europe highlight the significant impacts of chlorine on atmospheric oxidation capacity and composition. Chemical processes governing the production and loss of chlorine-containing species has been discussed. The updated chemical mechanism will be useful to interpret field measurements and for future air quality studies.
Ling Huang, Jiong Fang, Jiaqiang Liao, Greg Yarwood, Hui Chen, Yangjun Wang, and Li Li
Atmos. Chem. Phys., 23, 14919–14932, https://doi.org/10.5194/acp-23-14919-2023, https://doi.org/10.5194/acp-23-14919-2023, 2023
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Surface ozone concentrations have emerged as a major environmental issue in China. Although control strategies aimed at reducing NOx emissions from conventional combustion sources are widely recognized, soil NOx emissions have received little attention. The impact of soil NO emissions on ground-level ozone concentration is yet to be evaluated. In this study, we estimated the soil NO emissions and evaluated its impact on ozone formation in China.
Fu-Jie Zhu, Zi-Feng Zhang, Li-Yan Liu, Pu-Fei Yang, Peng-Tuan Hu, Geng-Bo Ren, Meng Qin, and Wan-Li Ma
EGUsphere, https://doi.org/10.5194/egusphere-2023-2376, https://doi.org/10.5194/egusphere-2023-2376, 2023
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Gas/particle partitioning is an important atmospheric behavior for SVOCs. The observation of that the gaseous degradation could disrupt the equilibrium state of gas/particle partitioning of low molecular weight SVOCs, was demonstrated and evaluated by a steady-state model, with increasing gas/particle partitioning quotients about 1 to 8.4 times. The present study suggested the interplay between degradation and G/P partitioning of SVOCs.
M. Omar Nawaz, Jeremiah Johnson, Greg Yarwood, Benjamin de Foy, Laura M. Judd, and Daniel L. Goldberg
EGUsphere, https://doi.org/10.5194/egusphere-2023-2844, https://doi.org/10.5194/egusphere-2023-2844, 2023
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NO2 is a gas with implications for air pollution. An air campaign conducted in Houston provided an opportunity to compare NO2 from different instruments and a model. Observations from aircrafts and the TROPOMI satellite instrument agreed well with measurements on the ground, however the latter estimated lower values. We find that NO2 simulated in our model performed worse and find the worst performance in downtown Houston, suggesting that vehicle emissions of NO2 may be underestimated.
Ben A. Cala, Scott Archer-Nicholls, James Weber, N. Luke Abraham, Paul T. Griffiths, Lorrie Jacob, Y. Matthew Shin, Laura E. Revell, Matthew Woodhouse, and Alexander T. Archibald
Atmos. Chem. Phys., 23, 14735–14760, https://doi.org/10.5194/acp-23-14735-2023, https://doi.org/10.5194/acp-23-14735-2023, 2023
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Dimethyl sulfide (DMS) is an important trace gas emitted from the ocean recognised as setting the sulfate aerosol background, but its oxidation is complex. As a result representation in chemistry-climate models is greatly simplified. We develop and compare a new mechanism to existing mechanisms via a series of global and box model experiments. Our studies show our updated DMS scheme is a significant improvement but significant variance exists between mechanisms.
Qindan Zhu, Rebecca H. Schwantes, Matthew Coggon, Colin Harkins, Jordan Schnell, Jian He, Havala O. T. Pye, Meng Li, Barry Baker, Zachary Moon, Ravan Ahmadov, Eva Y. Pfannerstill, Bryan Place, Paul Wooldridge, Benjamin C. Schulze, Caleb Arata, Anthony Bucholtz, John H. Seinfeld, Carsten Warneke, Chelsea E. Stockwell, Lu Xu, Kristen Zuraski, Michael A. Robinson, Andy Neuman, Patrick R. Veres, Jeff Peischl, Steven S. Brown, Allen H. Goldstein, Ronald C. Cohen, and Brian C. McDonald
EGUsphere, https://doi.org/10.5194/egusphere-2023-2742, https://doi.org/10.5194/egusphere-2023-2742, 2023
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Volatile organic compounds (VOCs) fuel the production of air pollutants like ozone and particulate matter. The representation of VOC chemistry remains challenging due to its complexity in speciation and reactions. Here, we develop a chemical mechanism, RACM2B-VCP, that better represent VOCs chemistry in urban areas such as Los Angeles. We also discuss the contribution of VOCs emitted from Volatile Chemical Products and other anthropogenic sources to total VOC reactivity and O3.
Christoph Staehle, Harald E. Rieder, and Arlene M. Fiore
EGUsphere, https://doi.org/10.5194/egusphere-2023-2743, https://doi.org/10.5194/egusphere-2023-2743, 2023
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Chemistry-climate models show biases compared to surface ozone observations, and thus require bias-correction for impact studies and the assessment of air quality changes. We compare the performance of commonly used correction techniques for model outputs available via CMIP6. While all methods can reduce model biases, better results are obtained for more complex approaches. Thus, our study suggests broader use of these techniques in studies seeking to inform air quality management and policy.
Jianing Dai, Guy P. Brasseur, Mihalis Vrekoussis, Maria Kanakidou, Kun Qu, Yijuan Zhang, Hongliang Zhang, and Tao Wang
Atmos. Chem. Phys., 23, 14127–14158, https://doi.org/10.5194/acp-23-14127-2023, https://doi.org/10.5194/acp-23-14127-2023, 2023
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In this study, we used a regional chemical transport model to characterize the different parameters of atmospheric oxidative capacity in recent chemical environments in China. These parameters include the production and destruction rates of ozone and other oxidants, the ozone production efficiency, the OH reactivity, and the length of the reaction chain responsible for the formation of ozone and ROx. They are also affected by the aerosol burden in the atmosphere.
Zhenze Liu, Oliver Wild, Ruth M. Doherty, Fiona M. O'Connor, and Steven T. Turnock
Atmos. Chem. Phys., 23, 13755–13768, https://doi.org/10.5194/acp-23-13755-2023, https://doi.org/10.5194/acp-23-13755-2023, 2023
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We investigate the impact of net-zero policies on surface ozone pollution in China. A chemistry–climate model is used to simulate ozone changes driven by local and external emissions, methane, and warmer climates. A deep learning model is applied to generate more robust ozone projection, and we find that the benefits of net-zero policies may be overestimated with the chemistry–climate model. Nevertheless, it is clear that the policies can still substantially reduce ozone pollution in future.
Gemma Purser, Mathew R. Heal, Edward J. Carnell, Stephen Bathgate, Julia Drewer, James I. L. Morison, and Massimo Vieno
Atmos. Chem. Phys., 23, 13713–13733, https://doi.org/10.5194/acp-23-13713-2023, https://doi.org/10.5194/acp-23-13713-2023, 2023
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Forest expansion is a ″net-zero“ pathway, but change in land cover alters air quality in many ways. This study combines tree planting suitability data with UK measured emissions of biogenic volatile organic compounds to simulate spatial and temporal changes in atmospheric composition for planting scenarios of four species. Decreases in fine particulate matter are relatively larger than increases in ozone, which may indicate a net benefit of tree planting on human health aspects of air quality.
Wei Li, Yuxuan Wang, Xueying Liu, Ehsan Soleimanian, Travis Griggs, James Flynn, and Paul Walter
Atmos. Chem. Phys., 23, 13685–13699, https://doi.org/10.5194/acp-23-13685-2023, https://doi.org/10.5194/acp-23-13685-2023, 2023
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This study examined high offshore ozone events in Galveston Bay and the Gulf of Mexico, using boat data and WRF–CAMx modeling during the TRACER-AQ 2021 field campaign. On average, high ozone is caused by chemistry due to the regional transport of volatile organic compounds and downwind advection of NOx from the ship channel. Two case studies show advection of ozone can be another process leading to high ozone, and accurate wind prediction is crucial for air quality forecasting in coastal areas.
Richard G. Derwent, David D. Parrish, and Ian C. Faloona
Atmos. Chem. Phys., 23, 13613–13623, https://doi.org/10.5194/acp-23-13613-2023, https://doi.org/10.5194/acp-23-13613-2023, 2023
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Elevated tropospheric ozone concentrations driven by anthropogenic precursor emissions are a world-wide health and environmental concern; however, this issue lacks a generally accepted understanding of the scientific issues. Here, we briefly outline the elements required to conduct an international assessment process to establish a conceptual model of the underpinning science and motivate international policy forums for regulating ozone production over hemispheric and global scales.
Nicola J. Warwick, Alex T. Archibald, Paul T. Griffiths, James Keeble, Fiona M. O'Connor, John A. Pyle, and Keith P. Shine
Atmos. Chem. Phys., 23, 13451–13467, https://doi.org/10.5194/acp-23-13451-2023, https://doi.org/10.5194/acp-23-13451-2023, 2023
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A chemistry–climate model has been used to explore the atmospheric response to changes in emissions of hydrogen and other species associated with a shift from fossil fuel to hydrogen use. Leakage of hydrogen results in indirect global warming, offsetting greenhouse gas emission reductions from reduced fossil fuel use. To maximise the benefit of hydrogen as an energy source, hydrogen leakage and emissions of methane, carbon monoxide and nitrogen oxides should be minimised.
Susanna Strada, Andrea Pozzer, Graziano Giuliani, Erika Coppola, Fabien Solmon, Xiaoyan Jiang, Alex Guenther, Efstratios Bourtsoukidis, Dominique Serça, Jonathan Williams, and Filippo Giorgi
Atmos. Chem. Phys., 23, 13301–13327, https://doi.org/10.5194/acp-23-13301-2023, https://doi.org/10.5194/acp-23-13301-2023, 2023
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Water deficit modifies emissions of isoprene, an aromatic compound released by plants that influences the production of an air pollutant such as ozone. Numerical modelling shows that, during the warmest and driest summers, isoprene decreases between −20 and −60 % over the Euro-Mediterranean region, while near-surface ozone only diminishes by a few percent. Decreases in isoprene emissions not only happen under dry conditions, but also could occur after prolonged or repeated water deficits.
Jianghao Li, Alastair C. Lewis, Jim R. Hopkins, Stephen J. Andrews, Tim Murrells, Neil Passant, Ben Richmond, Siqi Hou, William Bloss, Roy Harrison, and Zongbo Shi
EGUsphere, https://doi.org/10.5194/egusphere-2023-2294, https://doi.org/10.5194/egusphere-2023-2294, 2023
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A summertime ozone event at an urban site in Birmingham is sensitive to volatile organic compound (VOCs), particularly those of oxygenated VOCs. The roles of anthropogenic VOC sources in urban ozone chemistry are examined by integrating the 1990–2019 national atmospheric emission inventory into model scenarios. Road transport remains the most powerful means to further reduce ozone in this case study, but the benefits maybe offset if solvent emission of VOCs were to continue to increase.
Guowen He, Cheng He, Haofan Wang, Xiao Lu, Chenglei Pei, Xiaonuan Qiu, Chenxi Liu, Yiming Wang, Nanxi Liu, Jinpu Zhang, Lei Lei, Yiming Liu, Haichao Wang, Tao Deng, Qi Fan, and Shaojia Fan
Atmos. Chem. Phys., 23, 13107–13124, https://doi.org/10.5194/acp-23-13107-2023, https://doi.org/10.5194/acp-23-13107-2023, 2023
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We analyze nighttime ozone in the lower boundary layer (up to 500 m) from the 2017–2019 measurements at the Canton Tower and the WRF-CMAQ model. We identify a strong ability of the residual layer to store daytime ozone in the convective mixing layer, investigate the chemical and meteorological factors controlling nighttime ozone in the residual layer, and quantify the contribution of nighttime ozone in the residual layer to both the nighttime and the following day’s surface ozone air quality.
Clara M. Nussbaumer, Horst Fischer, Jos Lelieveld, and Andrea Pozzer
Atmos. Chem. Phys., 23, 12651–12669, https://doi.org/10.5194/acp-23-12651-2023, https://doi.org/10.5194/acp-23-12651-2023, 2023
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Ozone is a greenhouse gas and contributes to the earth’s radiative energy budget and therefore to global warming. This effect is the largest in the upper troposphere. In this study, we investigate the processes controlling ozone formation and the sensitivity to its precursors in the upper tropical troposphere based on model simulations by the ECHAM5/MESSy2 Atmospheric Chemistry (EMAC) model. We find that NO𝑥 emissions from lightning most importantly affect ozone chemistry at these altitudes.
Alba Badia, Veronica Vidal, Sergi Ventura, Roger Curcoll, Ricard Segura, and Gara Villalba
Atmos. Chem. Phys., 23, 10751–10774, https://doi.org/10.5194/acp-23-10751-2023, https://doi.org/10.5194/acp-23-10751-2023, 2023
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Improving air quality is a top priority in urban areas. In this study, we used an air quality model to analyse the air quality changes occurring over the metropolitan area of Barcelona and other rural areas affected by transport of the atmospheric plume from the city during mobility restrictions. Our results show that mitigation strategies intended to reduce O3 should be designed according to the local meteorology, air transport, and particular ozone chemistry of the urban area.
Herizo Narivelo, Paul David Hamer, Virginie Marécal, Luke Surl, Tjarda Roberts, Sophie Pelletier, Béatrice Josse, Jonathan Guth, Mickaël Bacles, Simon Warnach, Thomas Wagner, Stefano Corradini, Giuseppe Salerno, and Lorenzo Guerrieri
Atmos. Chem. Phys., 23, 10533–10561, https://doi.org/10.5194/acp-23-10533-2023, https://doi.org/10.5194/acp-23-10533-2023, 2023
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Volcanic emissions emit large quantities of gases and primary aerosols that can play an important role in atmospheric chemistry. We present a study of the fate of volcanic bromine emissions from the eruption of Mount Etna around Christmas 2018. Using a numerical model and satellite observations, we analyse the impact of the volcanic plume and how it modifies the composition of the air over the whole Mediterranean basin, in particular on tropospheric ozone through the bromine-explosion cycle.
Michael P. Cartwright, Richard J. Pope, Jeremy J. Harrison, Martyn P. Chipperfield, Chris Wilson, Wuhu Feng, David P. Moore, and Parvadha Suntharalingam
Atmos. Chem. Phys., 23, 10035–10056, https://doi.org/10.5194/acp-23-10035-2023, https://doi.org/10.5194/acp-23-10035-2023, 2023
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A 3-D chemical transport model, TOMCAT, is used to simulate global atmospheric carbonyl sulfide (OCS) distribution. Modelled OCS compares well with satellite observations of OCS from limb-sounding satellite observations. Model simulations also compare adequately with surface and atmospheric observations and suitably capture the seasonality of OCS and background concentrations.
Luana S. Basso, Chris Wilson, Martyn P. Chipperfield, Graciela Tejada, Henrique L. G. Cassol, Egídio Arai, Mathew Williams, T. Luke Smallman, Wouter Peters, Stijn Naus, John B. Miller, and Manuel Gloor
Atmos. Chem. Phys., 23, 9685–9723, https://doi.org/10.5194/acp-23-9685-2023, https://doi.org/10.5194/acp-23-9685-2023, 2023
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The Amazon’s carbon balance may have changed due to forest degradation, deforestation and warmer climate. We used an atmospheric model and atmospheric CO2 observations to quantify Amazonian carbon emissions (2010–2018). The region was a small carbon source to the atmosphere, mostly due to fire emissions. Forest uptake compensated for ~ 50 % of the fire emissions, meaning that the remaining forest is still a small carbon sink. We found no clear evidence of weakening carbon uptake over the period.
Rui Zhu, Zhaojun Tang, Xiaokang Chen, Xiong Liu, and Zhe Jiang
Atmos. Chem. Phys., 23, 9745–9763, https://doi.org/10.5194/acp-23-9745-2023, https://doi.org/10.5194/acp-23-9745-2023, 2023
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Ozone Monitoring Instrument (OMI) and surface O3 observations are used to investigate the changes in tropospheric O3 in the USA and Europe in 2005–2020. The surface-based assimilations show limited changes in surface and tropospheric column O3. The OMI-based assimilations show larger decreases in tropospheric O3 columns in 2010–2014, related to a decline in free-tropospheric NO2. Analysis suggests limited impacts of local emissions decline on tropospheric O3 over the USA and Europe in 2005–2020.
R. Bradley Pierce, Monica Harkey, Allen Lenzen, Lee M. Cronce, Jason A. Otkin, Jonathan L. Case, David S. Henderson, Zac Adelman, Tsengel Nergui, and Christopher R. Hain
Atmos. Chem. Phys., 23, 9613–9635, https://doi.org/10.5194/acp-23-9613-2023, https://doi.org/10.5194/acp-23-9613-2023, 2023
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We evaluate two high-resolution model simulations with different meteorological inputs but identical chemistry and anthropogenic emissions, with the goal of identifying a model configuration best suited for characterizing air quality in locations where lake breezes commonly affect local air quality along the Lake Michigan shoreline. This analysis complements other studies in evaluating the impact of meteorological inputs and parameterizations on air quality in a complex environment.
Shreta Ghimire, Zachary J. Lebo, Shane Murphy, Stefan Rahimi, and Trang Tran
Atmos. Chem. Phys., 23, 9413–9438, https://doi.org/10.5194/acp-23-9413-2023, https://doi.org/10.5194/acp-23-9413-2023, 2023
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High wintertime ozone levels have occurred often in recent years in mountain basins with oil and gas production facilities. Photochemical modeling of ozone production serves as a basis for understanding the mechanism by which it occurs and for predictive capability. We present photochemical model simulations of ozone formation and accumulation in the Upper Green River basin, Wyoming, demonstrating the model's ability to simulate wintertime ozone and the sensitivity of ozone to its precursors.
Cited articles
Allen, D. J., Pickering, K. E., Duncan, B., and Damon, M.: Impact of lightning NO emissions on North American photochemistry as determined using the Global Modeling Initiative (GMI) model, J. Geophys. Res.-Atmos., 115, D22301, https://doi.org/10.1029/2010JD014062, 2010.
Allen, D. J., Pickering, K. E., Pinder, R. W., Henderson, B. H., Appel, K. W., and Prados, A.: Impact of lightning-NO on eastern United States photochemistry during the summer of 2006 as determined using the CMAQ model, Atmos. Chem. Phys., 12, 1737–1758, https://doi.org/10.5194/acp-12-1737-2012, 2012.
Allen, D. J., Pickering, K. E., Bucsela, E., Van Geffen, J., Lapierre, J., Koshak, W. J., and Eskes, H: Observations of lightning NOx production from Tropospheric Monitoring Instrument case studies over the United States, J. Geophys. Res.-Atmos., 126, e2020JD034174, https://doi.org/10.1029/2020JD034174, 2021.
Appel, K. W., Gilliam, R., Davis, N., Zubrow, A., and Howard, S.: Overview of the atmospheric model evaluation tool (AMET) v1.1 for evaluating meteorological and air quality models, Environ. Model. Softw., 26, 434–443, https://doi.org/10.1016/j.envsoft.2010.09.007, 2011.
Appel, K. W., Bash, J. O., Fahey, K. M., Foley, K. M., Gilliam, R. C., Hogrefe, C., Hutzell, W. T., Kang, D., Mathur, R., Murphy, B. N., Napelenok, S. L., Nolte, C. G., Pleim, J. E., Pouliot, G. A., Pye, H. O. T., Ran, L., Roselle, S. J., Sarwar, G., Schwede, D. B., Sidi, F. I., Spero, T. L., and Wong, D. C.: The Community Multiscale Air Quality (CMAQ) model versions 5.3 and 5.3.1: system updates and evaluation, Geosci. Model Dev., 14, 2867–2897, https://doi.org/10.5194/gmd-14-2867-2021, 2021.
Bash, J. O., Baker, K. R., and Beaver, M. R.: Evaluation of improved land use and canopy representation in BEIS v3.61 with biogenic VOC measurements in California, Geosci. Model Dev., 9, 2191–2207, https://doi.org/10.5194/gmd-9-2191-2016, 2016.
Bateman, M. and Mach, D.: Preliminary detection efficiency and false alarm rate assessment of the Geostationary Lightning Mapper on the GOES-16 satellite, J. Appl. Remote Sens., 14, 032406, https://doi.org/10.1117/1.JRS.14.032406, 2020.
Bateman, M., Mach, D., and Stock, M.: Further investigation into detection efficiency and false alarm rate for the geostationary lightning mappers aboard GOES-16 and GOES-17, Earth Space Sci., 8, e2020EA001237, https://doi.org/10.1029/2020EA001237, 2021.
Blakeslee, R. J., Lang, T. J., Koshak, W. J., Buechler, D., Gatlin, P., Mach, D. M., Stano, G. T., Virts, K. S., Walker, T. D., Cecil, D. J., Ellett, W., Goodman, S. J., Harrison, S., Hawkins, D. L., Heumesser, M., Lin, H., Maskey, M., Schultz, C. J., Stewart, M., Bateman, M., Chanrion, O., and Christian, H.: Three years of the Lightning Imaging Sensor onboard the International Space Station: Expanded global coverage and enhanced applications, J. Geophys. Res.-Atmos., 125, e2020JD032918, https://doi.org/10.1029/2020JD032918, 2020.
Boccippio, D. J., Cummins, K. L., Christian, H. J., and Goodman, S. J.: Combined satellite- and surface-based estimation of the intracloud-cloud-to-ground lightning ratio over the continental United States, Mon. Weather Rev., 129, 108–122, https://doi.org/10.1175/1520-0493(2001)129<0108:CSASBE>2.0.CO;2, 2001.
Bond, D. W., Zhang, R., Tie, X., Brasseur, G., Huffines, G., Orville, R. E., and Boccippio, D. J.: NOx production by lightning over the continental United States, J. Geophys. Res.-Atmos., 106, 27701–27710, https://doi.org/10.1029/2000JD000191, 2001.
Borucki, W. J. and Chameides, W. L.: Lightning: estimates of the rates of energy dissipation and nitrogen fixation, Rev. Geophys. Space Phys., 22, 363–372, https://doi.org/10.1029/RG022i004p00363, 1984.
Buchholz, R. R., Emmons, L. K., Tilmes, S., and The CESM2 Development Team: CESM2.1/CAM-chem Instantaneous Output for Boundary Conditions, Subset used Lat: 20N to 55N, Lon: 60W to 135W, May–October 2019, UCAR/NCAR – Atmospheric Chemistry Observations and Modeling Laboratory [data set], https://doi.org/10.5065/NMP7-EP60, 2019.
Bucsela, E. J., Pickering, K. E., Huntemann, T. L., Cohen, R. C., Perring, A., Gleason, J. F., Blakeslee, R. J., Albrecht, R. I., Holzworth, R., Cipriani, J. P., Vargas-Navarro, D., Mora-Segura, I., Pacheco-Hernández, A., and Laporte-Molina, S.: Lightning-generated NOx seen by the Ozone Monitoring Instrument during NASA's Tropical Composition, Cloud and Climate Coupling Experiment (TC4), J. Geophys. Res., 115, D00J10, https://doi.org/10.1029/2009JD013118, 2010.
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, https://doi.org/10.1115/1.2128636, 2006.
Caiazzo, F., Ashok, A., Waitz, I. A., Yim, S. H. L., and Barrett, S. R. H.: Air pollution and early deaths in the United States. Part I: Quantifying the impact of major sectors in 2005, Atmos. Environ., 79, 198–208, https://doi.org/10.1016/j.atmosenv.2013.05.081, 2013.
Carey, L. D., Koshak, W. J., Peterson, H., and Mecikalski, R. M.: The kinematic and microphysical control of lightning rate, extent, and NOx production, J. Geophys. Res.-Atmos., 121, 7975–7989, https://doi.org/10.1002/2015JD024703, 2016.
Cecil, D. J., Buechler, D. E., and Blakeslee, R. J.: Gridded lightning climatology from TRMM-LIS and OTD dataset description, Atmos. Res., 135–136, 404–414, https://doi.org/10.1016/j.atmosres.2012.06.028, 2014.
Chameides, W. L., Stedman, D. H., Dickerson, R. R., Rusch, D. W., and Cicerone, R. J.: NOx production in lightning, J. Atmos. Sci., 34, 143–149, https://doi.org/10.1175/1520-0469(1977)034<0143:NPIL>2.0.CO;2, 1977.
Chen, T.-M., Kuschner, W. G., Gokhale, J., and Shofer, S.: Outdoor air pollution: Ozone health effects, Am. J. Med. Sci., 333, 244–248, https://doi.org/10.1097/MAJ.0b013e31803b8e8c, 2007.
Cheng, P., Pour-Biazar, A., White, A. T., and McNider, R. T.: Improvement of summertime surface ozone prediction by assimilating Geostationary Operational Environmental Satellite cloud observations, Atmos. Environ., 268, 118751, https://doi.org/10.1016/j.atmosenv.2021.118751, 2022.
Cooper, O. R., Eckhardt, S., Crawford, J. H., Brown, C. C., Cohen, R. C., Bertram, T. H., Wooldridge, P., Perring, A., Brune, W. H., Ren, X., Brunner, D., and Baughcum, S. L.: Summertime buildup and decay of lightning NOx and aged thunderstorm outflow above North America, J. Geophys. Res., 114, D01101, https://doi.org/10.1029/2008JD010293, 2009.
Cooray, V., Rahman, M., and Rakov, V.: On the NOx production by laboratory electrical discharges and lightning, J. Atmos. Sol.-Terr. Phy., 71, 1877–1889, https://doi.org/10.1016/j.jastp.2009.07.009, 2009.
Dinan, M., Elias, E., Webb, N. P., Zwicke, G., Dye, T. S., Aney, S., Brady, M., Brown, J. R., Dobos, R. R., DuBois, D., Edwards, B. L., Heimel, S., Luke, N., Rottler, C. M., and Steele, C.: Addressing air quality, agriculture, and climate change across the Southwest and Southern Plains: A roadmap for research, extension, and policy, B. Am. Meteorol. Soc., 102, E1394–E1401, https://doi.org/10.1175/BAMS-D-21-0088.1, 2021.
Emmons, L. K., Schwantes, R. H., Orlando, J. J., Tyndall, G., Kinnison, D., Lamarque, J.-F., Marsh, D., Mills, M. J., Tilmes, S., Bardeen, C., Buchholz, R. R., Conley, A., Gettelman, A., Garcia, R., Simpson, I., Blake, D. R., Meinardi, S., and Pétron, G.: The chemistry mechanism in the Community Earth System Model version 2 (CESM2), J. Adv. Model. Earth Syst., 12, e2019MS001882, https://doi.org/10.1029/2019MS001882, 2020.
Fuhrer, J., Val Martin, M., Mills, G., Heald, C. L., Harmens, H., Hayes, F., Sharps, K., Bender, J., and Ashmore, M. R.: Current and future ozone risks to global terrestrial biodiversity and ecosystem processes, Ecol. Evol., 6, 8785–8799, https://doi.org/10.1002/ece3.2568, 2016.
Fusco, A. C. and Logan, J. A.: Analysis of 1970–1995 trends in tropospheric ozone at Northern Hemisphere midlatitudes with the GEOS-CHEM model, J. Geophys. Res., 108, 4449, https://doi.org/10.1029/2002JD002742, 2003.
Goodman, S. J., Blakeslee, R., Christian, H., Koshak, W. J., Bailey, J., Hall, J., McCaul, E., Buechler, D., Darden, C., Burks, J., Bradshaw, T., and Gatlin, P.: The North Alabama Lightning Mapping Array: Recent severe storm observations and future prospects, Atmos. Res., 76, 423–437, https://doi.org/10.1016/j.atmosres.2004.11.035, 2005.
Goodman, S. J., Blakeslee, R. J., Koshak, W. J., Mach, D., Bailey, J., Buechler, D., Carey, L., Schultz, C., Bateman, M., McCaul Jr., E., and Stano, G.: The GOES-R geostationary lightning mapper (GLM), Atmos. Res., 125–126, 34–49, https://doi.org/10.1016/j.atmosres.2013.01.006, 2013.
Heath, N. K., Pleim, J. E., Gilliam, R. C., and Kang, D.: A simple lightning assimilation technique for improving retrospective WRF simulations, J. Adv. Model. Earth Syst., 8, 1806–1824, https://doi.org/10.1002/2016MS000735, 2016.
Holle, R. L., Cummins, K. L., and Brooks, W. A.: Seasonal, monthly, and weekly distributions of NLDN and GLD360 cloud-to-ground lightning, Mon. Weather Rev., 144, 2855–2870, https://doi.org/10.1175/MWR-D-16-0051.1, 2016.
Iacono, M. J., Delamere, J. S., Mlawer, E. J., Shephard, M. W., Clough, S. A., and Collins, W. D.: Radiative forcing by long-lived greenhouse gases: calculations with the AER radiative transfer models, J. Geophys. Res., 113, D13103, https://doi.org/10.1029/2008JD009944, 2008.
Kang, D. and Pickering, K. E.: Lightning NOx emissions and the implications for surface air quality over the contiguous United States, EM: Air Waste Manag. Assoc. Mag. Environ. Manag., 11, 1–6, https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6559371/ (last access: 9 December 2023), 2018.
Kang, D., Pickering, K. E., Allen, D. J., Foley, K. M., Wong, D. C., Mathur, R., and Roselle, S. J.: Simulating lightning NO production in CMAQv5.2: evolution of scientific updates, Geosci. Model Dev., 12, 3071–3083, https://doi.org/10.5194/gmd-12-3071-2019, 2019a.
Kang, D., Foley, K. M., Mathur, R., Roselle, S. J., Pickering, K. E., and Allen, D. J.: Simulating lightning NO production in CMAQv5.2: performance evaluations, Geosci. Model Dev., 12, 4409–4424, https://doi.org/10.5194/gmd-12-4409-2019, 2019b.
Kang, D., Mathur, R., Pouliot, G. A., Gilliam, R. C., and Wong, D. C.: Significant groundlevel ozone attributed to lightning-induced nitrogen oxides during summertime over the Mountain West States, npj Clim. Atmos. Sci., 3, 6, https://doi.org/10.1038/s41612-020-0108-2, 2020.
Kang, D., Heath, N. K., Gilliam, R. C., Spero, T. L., and Pleim, J. E.: Lightning assimilation in the WRF model (Version 4.1.1): technique updates and assessment of the applications from regional to hemispheric scales, Geosci. Model Dev., 15, 8561–8579, https://doi.org/10.5194/gmd-15-8561-2022, 2022a.
Kang, D., Hogrefe, C., Sarwar, G., East, J. D., Madden, J. M., Mathur, R., and Henderson, B. H.: Assessing the Impact of Lightning NOx Emissions in CMAQ Using Lightning Flash Data from WWLLN over the Contiguous United States, Atmosphere, 13, 1248, https://doi.org/10.3390/atmos13081248, 2022b.
Kaynak, B., Hu, Y., Martin, R. V., Russell, A. G., Choi, Y., and Wang, Y.: The effect of lightning NOx production on surface ozone in the continental United States, Atmos. Chem. Phys., 8, 5151–5159, https://doi.org/10.5194/acp-8-5151-2008, 2008.
Koshak, W. J.: Optical characteristics of OTD flashes and the implications for flash-type discrimination, J. Atmos. Ocean. Tech., 27, 1822–1838, https://doi.org/10.1175/2010JTECHA1405.1, 2010.
Koshak, W. J.: Lightning NOx estimates from space-based lightning imagers, in: 16th Annual CMAS Conf. on Remote Sens. Meas., CMAS Conference 2017, 23–25 October 2017, Chapel Hill, NC, https://www.cmascenter.org/conference/2017/abstracts/koshak_lightning_nox_2017.pdf (last access: 27 November 2022), 2017.
Koshak, W. J., Khan, M., Pour-Biazar, A., Newchurch, M. J., and McNider, R. T.: A NASA model for improving the lightning NOx emission inventory for CMAQ, in: 4th Conf. on Meteor. Appl. Lightning Data and 11th Conf. on Atmos. Chem., Amer. Meteor. Soc., 11–15 January 2009, Phoenix, AZ, USA, https://ams.confex.com/ams/pdfpapers/147334.pdf (last access: 2 April 2022), 2009.
Koshak, W. J., Peterson, H., Pour-Biazar, A., Khan, M., and Wang, L.: The NASA Lightning Nitrogen Oxides Model (LNOM): Application to air quality modeling, Atmos. Res., 135–136, 363–369, https://doi.org/10.1016/j.atmosres.2012.12.015, 2014a.
Koshak, W. J., Vant-Hull, B., McCaul, E. W., and Peterson, H. S.: Variation of a lightning NOx indicator for national climate assessment, in: XV Int. Conf. on Atmos. Electr., International Conference on Atmospheric Electricity, 15–20 June 2014, Norman, OK, https://www.nssl.noaa.gov/users/mansell/icae2014/preprints/Koshak_137.pdf (last access: 27 November 2022), 2014b.
Koshak, W. J., Solakiewicz, R. J., and Peterson, H. S.: A return stroke NOx production model, J. Atmos. Sci., 72, 943–954, https://doi.org/10.1175/JAS-D-14-0121.1, 2015.
Kuang, S., Burris, J. F., Newchurch, M. J., Johnson, S., and Long, S.: Differential absorption lidar to measure subhourly variation of tropospheric ozone profiles, IEEE T. Geosci. Remote., 49, 557–571, https://doi.org/10.1109/TGRS.2010.2054834, 2011.
Kuang, S., Newchurch, M. J., Burris, J., Wang, L., Knupp, K., and Huang, G.: Stratosphere-to-troposphere transport revealed by ground-based lidar and ozonesonde at a midlatitude site, J. Geophys. Res.-Atmos., 117, D18305, https://doi.org/10.1029/2012JD017695, 2012.
Kuang, S., Newchurch, M. J., Burris, J., and Liu, X.: Ground-based lidar for atmospheric boundary layer ozone measurements, Appl. Optics, 52, 3557–3566, https://doi.org/10.1364/AO.52.003557, 2013.
Kuang, S., Newchurch, M. J., Thompson, A. M., Stauffer, R. M., Johnson, B. J., and Wang, L.: Ozone variability and anomalies observed during SENEX and SEAC4RS campaigns in 2013, J. Geophys. Res.-Atmos., 122, 11227–11241, https://doi.org/10.1002/2017JD027139, 2017.
Lapierre, J. L., Laughner, J. L., Geddes, J. A., Koshak, W. J., Cohen, R. C., and Pusede, S. E.: Observing U.S. regional variability in lightning NO2 production rates, J. Geophys. Res.-Atmos., 125, e2019JD031362, https://doi.org/10.1029/2019JD031362, 2020.
Liang, Q., Douglass, A. R., Duncan, B. N., Stolarski, R. S., and Witte, J. C.: The governing processes and timescales of stratosphere-to-troposphere transport and its contribution to ozone in the Arctic troposphere, Atmos. Chem. Phys., 9, 3011–3025, https://doi.org/10.5194/acp-9-3011-2009, 2009.
Luecken, D. J., Yarwood, G., and Hutzell, W. T.: Multipollutant modeling of ozone, reactive nitrogen and HAPs across the continental US with CMAQ-CB6, Atmos. Environ., 201, 62–72, https://doi.org/10.1016/j.atmosenv.2018.11.060, 2019.
Marchand, M., Hilburn, K., and Miller, S. D.: Geostationary lightning mapper and Earth networks lightning detection over the contiguous United States and dependence on flash characteristics, J. Geophys. Res.-Atmos., 124, 11552–11567, https://doi.org/10.1029/2019JD031039, 2019.
Mecikalski, R. M. and Carey, L. D.: Radar reflectivity and altitude distributions of lightning as a function of IC, CG, and HY flashes: Implications for LNOx production, J. Geophys. Res.-Atmos., 123, 12796–12813, https://doi.org/10.1029/2018JD029263, 2018.
Medici, G., Cummins, K. L., Cecil, D. J., Koshak, W. J., and Rudlosky, S. D.: The intracloud lightning fraction in the contiguous United States, Mon. Weather Rev., 145, 4481–4499, https://doi.org/10.1175/MWR-D-16-0426.1, 2017.
Morrison, H., Thompson, G., and Tatarskii, V.: Impact of cloud microphysics on the development of trailing stratiform precipitation in a simulated squall line: comparison of one- and two-moment schemes, Mon. Weather Rev., 137, 991–1007, https://doi.org/10.1175/2008MWR2556.1, 2009.
Murphy, M. J. and Said, R. K.: Comparisons of lightning rates and properties from the U.S. National Lightning Detection Network (NLDN) and GLD360 with GOES-16 Geostationary Lightning Mapper and Advanced Baseline Imager data, J. Geophys. Res.-Atmos., 125, e2019JD031172, https://doi.org/10.1029/2019JD031172, 2020.
Murray, L.: Lightning NOx and impacts on air quality, Curr. Pollution Rep., 2, 115–133, https://doi.org/10.1007/s40726-016-0031-7, 2016.
National Centers for Environmental Prediction, National Weather Service, NOAA, and U.S. Department of Commerce: NCEP North American Mesoscale (NAM) 12 km Analysis, Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory [data set], https://doi.org/10.5065/G4RC-1N91, 2015.
National Emissions Inventory Collaborative: 2016v1 Emissions Modeling Platform, National Emissions Inventory Collaborative (NEIC) Intermountain West Data Warehouse (IWDW) [data set, code], http://views.cira.colostate.edu/wiki/wiki/10202 (last access: 6 September 2022), 2019.
Odman, M. T., White, A. T., Doty, K., McNider, R. T., Pour-Biazar, A., Qin, M., Hu, Y., Knipping, E., Wu, Y., and Dornblaser, B.: Examination of nudging schemes in the simulation of meteorology for use in air quality experiments: application in the Great Lakes region, J. Appl. Meteorol. Clim., 58, 2421–2436, https://doi.org/10.1175/JAMC-D-18-0206.1, 2019.
Orville, R. E., Huffines, G. R., Burrows, W. R., Holle, R. L., and Cummins, K. L.: The North American Lightning Detection Network (NALDN) – first results: 1998–2000, Mon. Weather Rev., 130, 2098–2109, https://doi.org/10.1175/1520-0493(2002)130<2098:TNALDN>2.0.CO;2, 2002.
Orville, R. E., Huffines, G. R., Burrows, W. R., and Cummins, K. L.: The North American Lightning Detection Network (NALDN) – analysis of flash data: 2001-09, Mon. Weather Rev., 139, 1305–1322, https://doi.org/10.1175/2010MWR3452.1, 2011.
Ott, L. E., Pickering, K. E., Stenchikov, G. L., Allen, D. J., DeCaria, A. J., Ridley, B., Lin, R.-F., Lang, S., and Tao, W.-K.: Production of lightning NOx and its vertical distribution calculated from three-dimensional cloud-scale chemical transport model simulations, J. Geophys. Res.-Atmos., 115, D04301, https://doi.org/10.1029/2009JD011880, 2010.
Parrish, D. D., Ryerson, T. B., Mellqvist, J., Johansson, J., Fried, A., Richter, D., Walega, J. G., Washenfelder, R. A., de Gouw, J. A., Peischl, J., Aikin, K. C., McKeen, S. A., Frost, G. J., Fehsenfeld, F. C., and Herndon, S. C.: Primary and secondary sources of formaldehyde in urban atmospheres: Houston Texas region, Atmos. Chem. Phys., 12, 3273–3288, https://doi.org/10.5194/acp-12-3273-2012, 2012.
Peyrous, R. and Lapeyre, R.-M.: Gaseous products created by electrical discharges in the atmosphere and condensation nuclei resulting from gaseous phase reactions, Atmos. Environ., 16, 959–968, https://doi.org/10.1016/0004-6981(82)90182-2, 1982.
Pickering, K. E., Wang, Y., Tao, W.-K., Price, C., and Müller, J.-F.: Vertical distributions of lightning NOx for use in regional and global chemical transport models, J. Geophys. Res., 103, 31203–31216, https://doi.org/10.1029/98JD02651, 1998.
Pickering, K. E., Bucsela, E., Allen, D., Ring, A., Holzworth, R., and Krotkov, N.: Estimates of lightning NOx production based on OMI NO2 observations over the Gulf of Mexico, J. Geophys. Res.-Atmos., 121, 8668–8691, https://doi.org/10.1002/2015JD024179, 2016.
Pleim, J. E.: A simple, efficient solution of flux-profile relationships in the atmospheric surface layer, J. Appl. Meteorol. Clim., 45, 341–347, https://doi.org/10.1175/JAM2339.1, 2006.
Pleim, J. E.: A combined local and nonlocal closure model for the atmospheric boundary layer. Part I: Model description and testing, J. Appl. Meteorol. Clim., 46, 1383–1395, https://doi.org/10.1175/JAM2539.1, 2007a.
Pleim, J. E.: A combined local and nonlocal closure model for the atmospheric boundary layer. Part II: Application and evaluation in a mesoscale meteorological model, J. Appl. Meteorol. Clim., 46, 1396–1409, https://doi.org/10.1175/JAM2534.1, 2007b.
Pleim, J. E. and Xiu, A.: Development of a land surface model. Part II: Data assimilation, J. Appl. Meteor., 42, 1811–1822, https://doi.org/10.1175/1520-0450(2003)042<1811:DOALSM>2.0.CO;2, 2003.
Post, E. S., Grambsch, A., Weaver, C., Morefield, P., Huang, J., Leung, L.-Y., Nolte, C. G., Adams, P., Liang, X.-Z., Zhu, J.-H., and Mahoney, H.: Variation in estimated ozonerelated health impacts of climate change due to modeling choices and assumptions, Environ. Health Perspect., 120, 1559–1564, https://doi.org/10.1289/ehp.1104271, 2012.
Pour-Biazar, A. and McNider, R. T.: Regional estimates of lightning production of nitrogen oxides, J. Geophys. Res., 100, 22861–22874, https://doi.org/10.1029/95JD01735, 1995.
Rakov, V. A. and Uman, M. A.: Lightning: Physics and Effects, Cambridge Univ. Press, 145 pp., https://assets.cambridge.org/97805210/35415/frontmatter/9780521035415_frontmatter.pdf (last access: 27 November 2022), 2003.
Rutledge, S. A., Hilburn, K. A., Clayton, A., Fuchs, B., and Miller, S. D.: Evaluating Geostationary Lightning Mapper flash rates within intense convective storms, J. Geophys. Res.-Atmos., 125, e2020JD032827, https://doi.org/10.1029/2020JD032827, 2020.
Ryu, Y.-H., Hodzic, A., Descombes, G., Hall, S., Minnis, P., Spangenberg, D., Ullmann, K., and Madronich, S.: Improved modeling of cloudy-sky actinic flux using satellite cloud retrievals, Geophys. Res. Lett., 44, 1592–1600, https://doi.org/10.1002/2016GL071892, 2017.
Schmit, T. J., Griffith, P., Gunshor, M. M., Daniels, J. M., Goodman, S. J., and Lebair, W. J.: A closer look at the ABI on the GOES-R series, B. Am. Meteorol. Soc., 98, 681–698, https://doi.org/10.1175/BAMS-D-15-00230.1, 2017.
Schumann, U. and Huntrieser, H.: The global lightning-induced nitrogen oxides source, Atmos. Chem. Phys., 7, 3823–3907, https://doi.org/10.5194/acp-7-3823-2007, 2007.
Simon, H., Reff, A., Wells, B., Xing, J., and Frank, N.: Ozone trends across the United States over a period of decreasing NOx and VOC emissions, Environ. Sci. Technol., 49, 186–195, https://doi.org/10.1021/es504514z, 2015.
Skamarock, W. C., Klemp, J. B., Dudhia, J., Gill, D. O., Liu, Z., Berner, J., Wang, W., Powers, J. G., Duda, M. G., Barker, D., and Huang, X.: A Description of the Advanced Research WRF Model Version 4.3, NCAR Tech. Note NCAR/TN-556+STR, 148 pp., https://doi.org/10.5065/1dfh-6p97, 2021.
Smith, S. N. and Mueller, S. F.: Modeling natural emissions in the Community Multiscale Air Quality (CMAQ) Model–I: building an emissions data base, Atmos. Chem. Phys., 10, 4931–4952, https://doi.org/10.5194/acp-10-4931-2010, 2010.
Stein, A. F., Draxler, R. R., Rolph, G. D., Stunder B. J. B., Cohen, M. D., and Ngan, F.: NOAA's HYSPLIT Atmospheric Transport and Dispersion Modeling System, B. Am. Meteorol. Soc., 96, 2059–2077, https://doi.org/10.1175/BAMS-D-14-00110.1, 2015.
TOLNet Science Team: Trospheric Ozone Lidar Network (TOLNet) Ozone Observational Data, NASA Langley Atmospheric Science Data Center [data set], https://doi.org/10.5067/LIDAR/OZONE/TOLNET, 2020.
USEPA (U. S. Environmental Protection Agency): Criteria air pollutants, https://www.epa.gov/sites/default/files/2015-10/documents/ace3_criteria_air_pollutants.pdf (last access: 27 November 2022), 2015.
USEPA: Health effects of ozone in the general population, https://www.epa.gov/ozone-pollution-and-your-patients-health/health-effects-ozone-general-population (last access: 27 November 2022), 2021.
Van Dingenen, R., Dentener, F. J., Raes, F., Krol, M. C., Emberson, L., and Cofala, J.: The global impact of ozone on agricultural crop yields under current and future air quality legislation, Atmos. Environ., 43, 604–618, https://doi.org/10.1016/j.atmosenv.2008.10.033, 2009.
Verma, S., Yadava, P. K., Lal, D. M., Mall, R. K., Kumar, H., and Payra, S.: Role of lightning NOx in ozone formation: A review, Pure Appl. Geophys, 178, 1425–1443, https://doi.org/10.1007/s00024-021-02710-5, 2021.
Wada, R., Sadanaga, Y., Kato, S., Katsumi, N., Okochi, H., Iwamoto, Y., Miura, K., Kobayashi, H., Kamogawa, M., Matsumoto, J., Yonemura, S., Matsumi, Y., Kajino, M., and Hatakeyama, S.: Ground-based observation of lightning-induced nitrogen oxides at a mountaintop in free troposphere, J. Atmos. Chem., 76, 133–150, https://doi.org/10.1007/s10874-019-09391-4, 2019.
Wang, L., Follette-Cook, M. B., Newchurch, M. J., Pickering, K. E., Pour-Biazar, A., Kuang, S., Koshak, W. J., and Peterson, H.: Evaluation of lightning-induced tropospheric ozone enhancements observed by ozone lidar and simulated by WRF/Chem, Atmos. Environ., 115, 185–191, https://doi.org/10.1016/j.atmosenv.2015.05.054, 2015.
Wang, Y., DeSilva, A. W., Goldenbaum, G. C., and Dickerson R. R.: Nitric oxide production by simulated lightning: Dependence on current, energy, and pressure, J. Geophys. Res., 103, 19149–19159, https://doi.org/10.1029/98JD01356, 1998.
White, A. T., Pour-Biazar, A., Doty, K., Dornblaser, B., and McNider, R. T.: Improving cloud simulation for air quality studies through assimilation of geostationary satellite observations in retrospective meteorological modeling, Mon. Weather Rev., 146, 29–48, https://doi.org/10.1175/MWR-D-17-0139.1, 2018.
White, A. T., Pour-Biazar, A., Doty, K., and McNider, R. T.: Iterative assimilation of geostationary satellite observations in retrospective meteorological modeling for air quality studies, Atmos. Environ., 272, 118947, https://doi.org/10.1016/j.atmosenv.2022.118947, 2022.
Wu, Y., Pour-Biazar, A., Koshak, W. J., and Cheng, P.: LNOx emission model for air quality & climate studies using satellite lightning mapper observations, J. Geophys. Res.-Atmos., 128, e2022JD037406, https://doi.org/10.1029/2022JD037406, 2023.
Xiu, A. and Pleim, J. E.: Development of a land surface model. Part I: Application in a mesoscale meteorological model, J. Appl. Meteor., 40, 192–209, https://doi.org/10.1175/1520-0450(2001)040<0192:DOALSM>2.0.CO;2, 2001.
Zhang, D. and Cummins, K. L.: Time evolution of satellite-based optical properties in lightning flashes, and its impact on GLM flash detection, J. Geophys. Res.-Atmos., 125, e2019JD032024, https://doi.org/10.1029/2019JD032024, 2020.
Zhang, R., Tie, X., and Bond, D. W.: Impacts of anthropogenic and natural NOx sources over the U.S. on tropospheric chemistry, P. Natl. Acad. Sci. USA, 100, 1505–1509, https://doi.org/10.1073/pnas.252763799, 2003.
Zheng, Y., Alapaty, K., Herwehe, J. A., Del Genio, A. D., and Niyogi, D.: Improving high-resolution weather forecasts using the Weather Research and forecasting (WRF) model with an updated Kain-Fritsch scheme, Mon. Weather Rev., 144, 833–860, https://doi.org/10.1175/MWR-D-15-0005.1, 2016.
Zhu, Q., Laughner, J. L., and Cohen, R. C.: Lightning NO2 simulation over the contiguous US and its effects on satellite NO2 retrievals, Atmos. Chem. Phys., 19, 13067–13078, https://doi.org/10.5194/acp-19-13067-2019, 2019.
Zoogman, P., Liu, X., Suleiman, R. M., Pennington, W. F., Flittner, D. E., Al-Saadi, J. A., Hilton, B. B., Nicks, D. K., Newchurch, M. J., Carr, J. L., Janz, S. J., Andraschko, M. R., Arola, A., Baker, B. D., Canova, B. P., Chan Miller, C., Cohen, R. C., Davis, J. E., Dussault, M. E., Edwards, D. P., Fishman, J., Ghulam, A., González Abad, G., Grutter, M., Herman, J. R., Houck, J., Jacob, D. J., Joiner, J., Kerridge, B. J., Kim, J., Krotkov, N. A., Lamsal, L., Li, C., Lindfors, A., Martin, R. V., McElroy, C. T., McLinden, C., Natraj, V., Neil, D. O., Nowlan, C. R., O'Sullivan, E. J., Palmer, P. I., Pierce, R. B., Pippin, M. R., Saiz-Lopez, A., Spurr, R. J. D., Szykman, J. J., Torres, O., Veefkind, J. P., Veihelmann, B., Wang, H., Wang, J., and Chance, K.: Tropospheric emissions: Monitoring of pollution (TEMPO), J. Quant. Spectrosc. Ra., 186, 17–39, https://doi.org/10.1016/j.jqsrt.2016.05.008, 2017.
Short summary
Lightning-induced nitrogen monoxide (LNO) emission can be estimated from geostationary satellite observations. The present study uses the LNO emission estimates derived from geostationary satellite observations in an air quality modeling system to investigate the impact of LNO on air quality. Results indicate that significant ozone increase could be due to long-distance chemical transport, lightning activity in the upwind direction, and the mixing of high LNO (or ozone) plumes.
Lightning-induced nitrogen monoxide (LNO) emission can be estimated from geostationary satellite...
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