Articles | Volume 22, issue 23
https://doi.org/10.5194/acp-22-15449-2022
© Author(s) 2022. 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-22-15449-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
07 Dec 2022
Research article |
| 07 Dec 2022
| 07 Dec 2022
Observation-based constraints on modeled aerosol surface area: implications for heterogeneous chemistry
Rachel A. Bergin
Department of Chemistry, University of Wisconsin – Madison, Madison,
WI 53703, USA
Monica Harkey
Nelson Institute Center for Sustainability and the Global Environment, University of Wisconsin–Madison, Madison, WI 53703, USA
Department of Atmospheric and Oceanic Sciences, University of
Wisconsin–Madison, Madison, WI 53703, USA
Alicia Hoffman
Nelson Institute Center for Sustainability and the Global Environment, University of Wisconsin–Madison, Madison, WI 53703, USA
Department of Atmospheric and Oceanic Sciences, University of
Wisconsin–Madison, Madison, WI 53703, USA
Richard H. Moore
NASA Langley Research Center, Hampton, VA 23666, USA
Bruce Anderson
NASA Langley Research Center, Hampton, VA 23666, USA
Andreas Beyersdorf
NASA Langley Research Center, Hampton, VA 23666, USA
now at: California State University, San Bernardino, San
Bernardino, CA 92407, USA
Luke Ziemba
NASA Langley Research Center, Hampton, VA 23666, USA
Lee Thornhill
NASA Langley Research Center, Hampton, VA 23666, USA
Science Systems and Applications, Inc., Hampton, VA 23666, USA
Edward Winstead
NASA Langley Research Center, Hampton, VA 23666, USA
Science Systems and Applications, Inc., Hampton, VA 23666, USA
Tracey Holloway
Nelson Institute Center for Sustainability and the Global Environment, University of Wisconsin–Madison, Madison, WI 53703, USA
Department of Atmospheric and Oceanic Sciences, University of
Wisconsin–Madison, Madison, WI 53703, USA
Timothy H. Bertram
CORRESPONDING AUTHOR
Department of Chemistry, University of Wisconsin – Madison, Madison,
WI 53703, USA
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Atmos. Chem. Phys., 26, 15423–15443, https://doi.org/10.5194/acp-26-15423-2026, https://doi.org/10.5194/acp-26-15423-2026, 2026
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This study applies a novel remote sensing algorithm to airborne radiation measurements performed in wildfire plumes, to retrieve the absorptive properties of biomass burning aerosols. The results provide new insights on the magnitude, wavelength dependence, and atmospheric aging of the imaginary refractive index, volume absorption cross-section, and single scattering albedo of the smoke particles. Furthermore, potential and limitations of the applied method are discussed.
Katherine Mifsud, Jason Barr, Robert Wood, Yonghoon Choi, Ewan Crosbie, Glenn S. Diskin, Joshua P. DiGangi, Richard H. Moore, Claire Robinson, Michael A. Shook, Armin Sorooshian, Christiane Voigt, and Luke Ziemba
Atmos. Chem. Phys., 26, 14881–14903, https://doi.org/10.5194/acp-26-14881-2026, https://doi.org/10.5194/acp-26-14881-2026, 2026
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Salt particles from the ocean can help marine clouds precipitate more quickly, but their role is not fully understood. Using aircraft observations over the northwest Atlantic Ocean and computer simulations, we studied how these particles affect warm rain formation. We found that clouds containing more large sea salt particles, even at relatively low amounts, produce more rain. These results improve understanding of how sea salt aerosols influence clouds, rainfall, and climate.
Elisabeth N. Kray, Delaney B. Kilgour, Martina N. Rogers, Christopher M. Jernigan, Michael P. Vermeuel, and Timothy H. Bertram
EGUsphere, https://doi.org/10.5194/egusphere-2026-5120, https://doi.org/10.5194/egusphere-2026-5120, 2026
This preprint is open for discussion and under review for Atmospheric Measurement Techniques (AMT).
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Carbonyl sulfide is the largest continuous contributor to stratospheric sulfate aerosol and a key molecular diagnostic for studying biosphere-atmosphere carbon exchange. We present a new technique for the simultaneous detection of carbonyl sulfide and its precursors, carbon disulfide and dimethyl sulfide. Reanalysis of past field measurements reveals a wide range of carbon disulfide concentrations across marine, urban, and continental environments highlighting the utility of this technique.
Xin Chen, Dylan B. Millet, Glenn M. Wolfe, Erin R. Delaria, M. Julian Deventer, Markus Müller, Arne Schiller, Kenneth Lee Thornhill, and Armin Wisthaler
Atmos. Meas. Tech., 19, 5353–5372, https://doi.org/10.5194/amt-19-5353-2026, https://doi.org/10.5194/amt-19-5353-2026, 2026
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Air-sea exchange is a major uncertainty source for many volatile organic compounds (VOCs). Aircraft-based eddy covariance can be used to quantify these fluxes over large regions but such applications have been limited. We used observations over the Atlantic to characterize VOC fluxes and elucidate the drivers of measurement error. Results show how sensor noise and turbulent variability interact to determine flux detectability, and define instrumental priorities for future use of this technique.
Sneha Aggarwal, Matthew Salter, Olga Garmash, Felipe Lopez-Hilfiker, Julika Zinke, Joel A. Thornton, Timothy H. Bertram, Jian Wang, Paul Zieger, and Claudia Mohr
EGUsphere, https://doi.org/10.26434/chemrxiv.15000402/v3, https://doi.org/10.26434/chemrxiv.15000402/v3, 2026
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Perfluoroalkyl carboxylic acids (PFCAs) are persistent global contaminants. While sea spray aerosol (SSA) formed by wave breaking is known to transport PFCAs from the ocean to the atmosphere, the focus has primarily been on particle-phase transport. Here, we present evidence that particle-bound PFCAs are subsequently converted to gas phase following SSA emission. This previously unconsidered process may cause particle-only measurements to underestimate the total atmospheric PFCA from SSA.
Patrick C. Taylor, Armin Sorooshian, Rei Ueyama, Sebastian Schmidt, Ihab Abboud, Quincy Allison, Kevin Barry, Sebastian Becker, Holly A. Bender, Joseph R. Bennett, James B. Blair, Niklas Bohn, Linette Boisvert, Matthew D. Brown, Roelof Bruintjes, Anthony Bucholtz, Megan Buzanowicz, Brian Cairns, Filippo Calì Quaglia, Eduard Chemyakin, Bo Chen, Gao Chen, Hong Chen, Yu-Wen Chen, Zezhen Cheng, Swarup China, Dan Chirica, Yonghoon Choi, Peter Colarco, Brian Collister, Ewan Crosbie, Maurice J. Cross, Janet Daniels, Paul DeMott, Joshua P. DiGangi, Alcide Giorgio di Sarra, Glenn S. Diskin, Erica K. Dolinar, Eva-Lou Edwards, Samuel Ephraim, Nikolaos Evangeliou, Romanos Foskinis, Francesca Gallo, Lan Gao, José Luis Gómez-Amo, Daisy Gonzalez, Christine Groot Zwaaftink, Pawan Gupta, Ivan Heckman, Michael Hendrickson, Miguel Ricardo A. Hilario, Ken Hirata, Michelle Hofton, Andrew L. Holen, Ulas Im, Alia L. Khan, Ralph Kahn, Alexei V. Korolev, Sonia Kreidenweis, Thomas Krumpen, Nathan Kurtz, Leslie Lait, Bradley Lamkin, Jack Landy, Nurun Nahar Lata, Paul Lawson, Samuel LeBlanc, Sean Leavor, Jing Li, Thorsten Markus, Hal Maring, Andreas H. Massling, Camille Mavis, Flynn McGinnity, Kerry Meyer, Gabriel Mojica, Richard H. Moore, Parker Morris, Giovanni Muscari, Vikas Nataraja, Amin R. Nehrir, Athanasios Nenes, Edward P. Nowottnick, Matteo Ottaviani, Chelsea Parker, Ryan Patnaude, Michael Perez, Russell J. Perkins, Colten Peterson, Alek Petty, Stevie Phothisane, Chris Polashenski, Kerri A. Pratt, Kayla M. Preisler, John Prytherch, David Rabine, Jens Redemann, Ju-Mee Ryoo, Joseph S. Schlosser, Vanessa Selimovic, Michael A. Shook, Morgan Silverman, Henrik Skov, Alexander Smirnov, Cassidy Soloff, Amy Solomon, Snorre Stamnes, Azusa Takeishi, David R. Thompson, K. Lee Thornhill, Rachel Tilling, Michael Tjernström, Monica Tosco, Pedro C. Valdelomar, David Van Gilst, Jian Wang, Zhien Wang, Andrzej Wasilewski, Manfred Wendisch, Brent Wilder, Edward L. Winstead, Albert Wu, Peng Xian, Lauren M. Zamora, Jiaoshi Zhang, Lei Zhang, Lu Zhang, Luke Ziemba, and Paquita Zuidema
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2026-241, https://doi.org/10.5194/essd-2026-241, 2026
Preprint under review for ESSD
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This article summarizes the data sets collected during the Arctic Radiation Cloud aerosol Sea ice Interaction eXperiment (ARCSIX), NASA's most comprehensive Arctic field campaign to date. The overarching goal was to quantify the contributions of surface, clouds, aerosol particles, and precipitation to summer sea ice melt. This paper describes the ARCSIX implementation including the flight strategy, instruments, complementary data sets, access, and usage details.
Ariadne K. Papamichou, Evanthia Kallou, Richard H. Moore, Holger Pfaender, and Dimitri N. Mavris
J. Env. Com. Air Transp. Sys. Discuss., https://doi.org/10.5194/jecats-2026-11, https://doi.org/10.5194/jecats-2026-11, 2026
Revised manuscript not accepted
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Contrails are thin ice clouds that may form behind aircraft, are responsible for about half of aviation's climate impact, and are hard to detect and predict. Using data from two flight test campaigns, we developed a tool that can be used with a camera mounted on aircraft to detect contrail formation and predict persistence in real time, with camera placement strongly affecting results. Using only this tool and onboard cameras, this lower-cost approach could help reduce aviation's climate impact.
Young Ro Lee, Linda Arterburn, Masayuki Takeuchi, David J. Tanner, James M. Roberts, Behrooz Roozitalab, Daun Jeong, Alan J. Hills, Rebecca S. Hornbrook, Eric C. Apel, Simone Meinardi, Barbara Barletta, Nicola J. Blake, Donald R. Blake, Saewung Kim, Wojciech Wojnowski, Felix Piel, Armin Wisthaler, Katherine Ball, John D. Crounse, Paul O. Wennberg, Jason Miech, Yonghoon Choi, Joshua P. DiGangi, Glenn S. Diskin, Abby Sebol, Erin R. Delaria, Reem A. Hannun, Jason M. St. Clair, Glenn M. Wolfe, Changmin Cho, Courtney Owen, Kirk Lesko, Alessandro Franchin, Edward L. Winstead, Luke D. Ziemba, Richard Moore, Elizabeth B. Wiggins, Guy Symonds, Dongwook Kim, Douglas A. Day, Pedro Campuzano-Jost, Jose L. Jimenez, Kirk Ullmann, Samuel R. Hall, James H. Crawford, and L. Gregory Huey
Atmos. Chem. Phys., 26, 8695–8715, https://doi.org/10.5194/acp-26-8695-2026, https://doi.org/10.5194/acp-26-8695-2026, 2026
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Susan Mathai, Gregory L. Schuster, Michael A. Shook, and Luke D. Ziemba
EGUsphere, https://doi.org/10.5194/egusphere-2026-1917, https://doi.org/10.5194/egusphere-2026-1917, 2026
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There are several organic aerosols being emitted into the atmosphere through different sources. Often, it's challenging to account for these wide variety of species in global climate models due to a lack of clarity about their classification thresholds. In this study, we define thresholds based on the imaginary refractive index to classify organic aerosols into strongly, moderately, weakly, and very weakly absorbing. The classification shows clear optical separation from 350–500 nm wavelengths.
Richard Ferrare, Johnathan Hair, Taylor Shingler, Chris Hostetler, Amin Nehrir, Marta Fenn, Amy Jo Scarino, Sharon Burton, Marian Clayton, James Collins, Laura Judd, James Crawford, Katherine Travis, Travis Toth, Pablo Saide, Jose Luis Jimenez, Pedro Campuzano-Jost, Guy Symonds, Richard Moore, Luke Ziemba, Michael Shook, Glenn Diskin, Joshua P. DiGangi, Ryan Bennett, Chia-Hsiang Ho, Lim-Seok Chang, Adisak Aiampisanuvong, and Ittipol Pawarmart
Atmos. Meas. Tech., 18, 7735–7766, https://doi.org/10.5194/amt-18-7735-2025, https://doi.org/10.5194/amt-18-7735-2025, 2025
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We present a new method to retrieve atmospheric particulate matter concentrations using only airborne High Spectral Resolution Lidar measurements in machine learning algorithms. Retrieved concentrations agree well with surface measurements. These concentrations and our estimates of the particle mass extinction efficiency are also consistent with those retrieved from airborne in situ measurements. This methodology can also be applied to the Atmosphere Lidar on the EarthCARE satellite.
Jeffrey S. Reid, Robert E. Holz, Chris A. Hostetler, Richard A. Ferrare, Juli I. Rubin, Elizabeth J. Thompson, Susan C. van den Heever, Corey G. Amiot, Sharon P. Burton, Joshua P. DiGangi, Glenn S. Diskin, Joshua H. Cossuth, Daniel P. Eleuterio, Edwin W. Eloranta, Ralph Kuehn, Willem J. Marais, Hal B. Maring, Armin Sorooshian, Kenneth L. Thornhill, Charles R. Trepte, Jian Wang, Peng Xian, and Luke D. Ziemba
Atmos. Chem. Phys., 25, 18639–18673, https://doi.org/10.5194/acp-25-18639-2025, https://doi.org/10.5194/acp-25-18639-2025, 2025
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We document air and ship born measurements of the vertical distribution of pollution and biomass burning aerosol particles transported within the Maritime Continent's monsoonal flows for 1000s of kilometers, and yet still exhibit intricate patterns around clouds near the ocean's surface. Findings demonstrate that, while aerosol transport occurs near the surface, there is heterogeneity in particle extinction that must be considered for both in situ observations and satellite retrievals.
Joshua P. DiGangi, Glenn S. Diskin, Subin Yoon, Sergio L. Alvarez, James H. Flynn, Claire E. Robinson, Michael A. Shook, K. Lee Thornhill, Edward L. Winstead, Luke D. Ziemba, Maria Obiminda L. Cambaliza, James B. Simpas, Miguel Ricardo A. Hilario, and Armin Sorooshian
Atmos. Chem. Phys., 25, 17387–17397, https://doi.org/10.5194/acp-25-17387-2025, https://doi.org/10.5194/acp-25-17387-2025, 2025
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Both fire and urban emissions are major contributors to air pollution in Southeast Asia. Relative increases in measurements of methane and carbon monoxide gases during an aircraft campaign near the Philippines in 2019 were used to isolate pollution emissions from fires vs. urban sources. Results were compared to atmospheric transport models to determine the sources' regional origins, and relationships between pollution indicators relevant to poor air quality were investigated for each source.
Joseph S. Schlosser, Sanja Dmitrovic, Ryan Bennett, Brian Cairns, Gao Chen, Glenn S. Diskin, Richard A. Ferrare, Johnathan W. Hair, Michael A. Jones, Jeffrey S. Reid, Taylor J. Shingler, Michael A. Shook, Armin Sorooshian, Kenneth L. Thornhill, Luke D. Ziemba, and Snorre Stamnes
Atmos. Meas. Tech., 18, 7187–7220, https://doi.org/10.5194/amt-18-7187-2025, https://doi.org/10.5194/amt-18-7187-2025, 2025
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This study focuses on aerosol particles, which critically influence the atmosphere by scattering and absorbing light. To understand these interactions, airborne field campaigns deploy instruments that can measure these particles’ directly or indirectly via remote sensing. We introduce the In Situ Aerosol Retrieval Algorithm (ISARA) to ensure consistency between aerosol measurements and show that the two data sets generally align, with some deviation caused by the presence of larger particles.
Jason A. Miech, Joshua P. DiGangi, Glenn S. Diskin, Yonghoon Choi, Richard H. Moore, Luke D. Ziemba, Francesca Gallo, Carolyn E. Jordan, Michael A. Shook, Elizabeth B. Wiggins, Edward L. Winstead, Sayantee Roy, Young Ro Lee, Katherine Ball, John D. Crounse, Paul Wennberg, Felix Piel, Stefan Swift, Wojciech Wojnowski, and Armin Wisthaler
Atmos. Chem. Phys., 25, 15701–15714, https://doi.org/10.5194/acp-25-15701-2025, https://doi.org/10.5194/acp-25-15701-2025, 2025
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Biomass burning is a significant source of greenhouse gases and airborne pollutants in Asia. Airborne measurements of greenhouse gas enhancement ratios, trace gases, and particle scattering were used to identify air masses impacted by biomass burning over several Asian countries during February and March of 2024. Further analysis using atmospheric transport models and satellite hotspot products was performed to understand the transport history of biomass burning impacted airmasses over Thailand.
Emily Lenhardt, Lan Gao, Chris A. Hostetler, Richard A. Ferrare, Sharon P. Burton, Richard H. Moore, Luke D. Ziemba, Ewan Crosbie, Armin Sorooshian, Cassidy Soloff, and Jens Redemann
Atmos. Chem. Phys., 25, 13747–13768, https://doi.org/10.5194/acp-25-13747-2025, https://doi.org/10.5194/acp-25-13747-2025, 2025
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Small particles that form cloud droplets greatly impact Earth's climate but are very difficult to measure. If we can measure them using satellite-based instruments, we greatly increase the amount of available data on their concentrations. In this study, we find that including information about particle size is most important to measure them accurately from such satellite-based instruments. This can inform future studies on how to obtain more accurate information about small particles.
Soodabeh Namdari, Sanja Dmitrovic, Gao Chen, Yonghoon Choi, Ewan Crosbie, Joshua P. DiGangi, Glenn S. Diskin, Richard A. Ferrare, Johnathan W. Hair, Simon Kirschler, John B. Nowak, Kenneth L. Thornhill, Christiane Voigt, Holger Vömel, Xubin Zeng, and Armin Sorooshian
Atmos. Meas. Tech., 18, 4325–4345, https://doi.org/10.5194/amt-18-4325-2025, https://doi.org/10.5194/amt-18-4325-2025, 2025
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We conducted this study to assess the accuracy of airborne measurements of wind, temperature, and humidity, essential for understanding atmospheric processes. Using data from NASA's ACTIVATE campaign, we compared measurements from the Turbulent Air Motion Measurement System (TAMMS) and diode laser hygrometer (DLH) aboard a Falcon aircraft with dropsondes from a King Air, matching data points based on location and time using statistical methods. The study showed strong agreement, confirming the reliability of these methods for advancing climate models.
Summer Acker, Tracey Holloway, and Monica Harkey
Atmos. Chem. Phys., 25, 8271–8288, https://doi.org/10.5194/acp-25-8271-2025, https://doi.org/10.5194/acp-25-8271-2025, 2025
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We studied how well satellites detect nitrogen dioxide, a harmful air pollutant, compared with the EPA's ground monitors across the US. Both satellites performed best in areas far from roads, where pollution is lower and more uniform. The newer TEMPO satellite, with hourly data, agreed most closely with monitors at midday and performed better than TROPOMI, a satellite with daily measurements. These findings highlight the ability of satellites to complement existing ground-based monitors.
Luke R. Allen, Sandra E. Yuter, Declan M. Crowe, Matthew A. Miller, and K. Lee Thornhill
Atmos. Chem. Phys., 25, 6679–6701, https://doi.org/10.5194/acp-25-6679-2025, https://doi.org/10.5194/acp-25-6679-2025, 2025
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We analyzed in-cloud characteristics using in situ measurements from 42 research flights across two field campaigns into non-orographic, non-lake-effect winter storms. Much of the storm volume contains weak vertical motions (a few centimeters per second), and most updrafts ≥ 0.5 m s-1 are small (< 1 km). Within 2 km of cloud radar echo top, stronger vertical motions and conditions for ice particle growth are more common. Overturning air motions near cloud top appear important for the production of snow particles.
Ewan Crosbie, Johnathan W. Hair, Amin R. Nehrir, Richard A. Ferrare, Chris Hostetler, Taylor Shingler, David Harper, Marta Fenn, James Collins, Rory Barton-Grimley, Brian Collister, K. Lee Thornhill, Christiane Voigt, Simon Kirschler, and Armin Sorooshian
Atmos. Meas. Tech., 18, 2639–2658, https://doi.org/10.5194/amt-18-2639-2025, https://doi.org/10.5194/amt-18-2639-2025, 2025
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A method was developed to extract information from airborne lidar observations about the distribution of ice and liquid water within clouds. The method specifically targets signatures of horizontal and vertical gradients in ice and water that appear in the polarization of the lidar signals. The method was tested against direct measurements of the cloud properties collected by a second aircraft.
Genevieve Rose Lorenzo, Luke D. Ziemba, Avelino F. Arellano, Mary C. Barth, Ewan C. Crosbie, Joshua P. DiGangi, Glenn S. Diskin, Richard Ferrare, Miguel Ricardo A. Hilario, Michael A. Shook, Simone Tilmes, Jian Wang, Qian Xiao, Jun Zhang, and Armin Sorooshian
Atmos. Chem. Phys., 25, 5469–5495, https://doi.org/10.5194/acp-25-5469-2025, https://doi.org/10.5194/acp-25-5469-2025, 2025
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Novel aerosol hygroscopicity analyses of CAMP2Ex (Cloud, Aerosol, and Monsoon Processes Philippines Experiment) field campaign data show low aerosol hygroscopicity values in Southeast Asia. Organic carbon from smoke decreases hygroscopicity to levels more like those in continental than in polluted marine regions. Hygroscopicity changes at cloud level demonstrate how surface particles impact clouds in the region, affecting model representation of aerosol and cloud interactions in similar polluted marine regions with high organic carbon emissions.
Michael F. Link, Megan S. Claflin, Christina E. Cecelski, Ayomide A. Akande, Delaney Kilgour, Paul A. Heine, Matthew Coggon, Chelsea E. Stockwell, Andrew Jensen, Jie Yu, Han N. Huynh, Jenna C. Ditto, Carsten Warneke, William Dresser, Keighan Gemmell, Spiro Jorga, Rileigh L. Robertson, Joost de Gouw, Timothy Bertram, Jonathan P. D. Abbatt, Nadine Borduas-Dedekind, and Dustin Poppendieck
Atmos. Meas. Tech., 18, 1013–1038, https://doi.org/10.5194/amt-18-1013-2025, https://doi.org/10.5194/amt-18-1013-2025, 2025
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Proton-transfer-reaction mass spectrometry (PTR-MS) is widely used for the measurement of volatile organic compounds (VOCs) both indoors and outdoors. An analytical challenge for PTR-MS measurements is the formation of unintended measurement interferences, product ion distributions (PIDs), that may appear in the data as VOCs of interest. We developed a method for quantifying PID formation and use interlaboratory comparison data to put quantitative constraints on PID formation.
Kira Zeider, Kayla McCauley, Sanja Dmitrovic, Leong Wai Siu, Yonghoon Choi, Ewan C. Crosbie, Joshua P. DiGangi, Glenn S. Diskin, Simon Kirschler, John B. Nowak, Michael A. Shook, Kenneth L. Thornhill, Christiane Voigt, Edward L. Winstead, Luke D. Ziemba, Paquita Zuidema, and Armin Sorooshian
Atmos. Chem. Phys., 25, 2407–2422, https://doi.org/10.5194/acp-25-2407-2025, https://doi.org/10.5194/acp-25-2407-2025, 2025
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In situ aircraft data collected over the northwest Atlantic Ocean are utilized to compare aerosol conditions and turbulence between near-surface and below-cloud-base altitudes for different regimes of coupling strength between those two levels, along with how cloud microphysical properties vary across those regimes. Stronger coupling yields more homogenous aerosol structure vertically along with higher cloud drop concentrations and sea salt influence in clouds.
Hongyu Liu, Bo Zhang, Richard H. Moore, Luke D. Ziemba, Richard A. Ferrare, Hyundeok Choi, Armin Sorooshian, David Painemal, Hailong Wang, Michael A. Shook, Amy Jo Scarino, Johnathan W. Hair, Ewan C. Crosbie, Marta A. Fenn, Taylor J. Shingler, Chris A. Hostetler, Gao Chen, Mary M. Kleb, Gan Luo, Fangqun Yu, Mark A. Vaughan, Yongxiang Hu, Glenn S. Diskin, John B. Nowak, Joshua P. DiGangi, Yonghoon Choi, Christoph A. Keller, and Matthew S. Johnson
Atmos. Chem. Phys., 25, 2087–2121, https://doi.org/10.5194/acp-25-2087-2025, https://doi.org/10.5194/acp-25-2087-2025, 2025
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We use the GEOS-Chem model to simulate aerosol distributions and properties over the western North Atlantic Ocean (WNAO) during the winter and summer deployments in 2020 of the NASA ACTIVATE mission. Model results are evaluated against aircraft, ground-based, and satellite observations. The improved understanding of life cycle, composition, transport pathways, and distribution of aerosols has important implications for characterizing aerosol–cloud–meteorology interactions over WNAO.
Jan-Lukas Tirpitz, Santo Fedele Colosimo, Nathaniel Brockway, Robert Spurr, Matt Christi, Samuel Hall, Kirk Ullmann, Johnathan Hair, Taylor Shingler, Rodney Weber, Jack Dibb, Richard Moore, Elizabeth Wiggins, Vijay Natraj, Nicolas Theys, and Jochen Stutz
Atmos. Chem. Phys., 25, 1989–2015, https://doi.org/10.5194/acp-25-1989-2025, https://doi.org/10.5194/acp-25-1989-2025, 2025
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We combine plume composition data from the 2019 NASA FIREX-AQ campaign with state-of-the-art radiative transfer modeling techniques to calculate distributions of actinic flux and photolysis frequencies in a wildfire plume. Excellent agreement of the model and observations demonstrates the applicability of this approach to constrain photochemistry in such plumes. We identify limiting factors for the modeling accuracy and discuss spatial and spectral features of the distributions.
Delaney B. Kilgour, Christopher M. Jernigan, Olga Garmash, Sneha Aggarwal, Shengqian Zhou, Claudia Mohr, Matt E. Salter, Joel A. Thornton, Jian Wang, Paul Zieger, and Timothy H. Bertram
Atmos. Chem. Phys., 25, 1931–1947, https://doi.org/10.5194/acp-25-1931-2025, https://doi.org/10.5194/acp-25-1931-2025, 2025
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We report simultaneous measurements of dimethyl sulfide (DMS) and hydroperoxymethyl thioformate (HPMTF) in the eastern North Atlantic. We use an observationally constrained box model to show that cloud loss is the dominant sink of HPMTF in this region over 6 weeks, resulting in large reductions in DMS-derived products that contribute to aerosol formation and growth. Our findings indicate that fast cloud processing of HPMTF must be included in global models to accurately capture the sulfur cycle.
Cassidy Soloff, Taiwo Ajayi, Yonghoon Choi, Ewan C. Crosbie, Joshua P. DiGangi, Glenn S. Diskin, Marta A. Fenn, Richard A. Ferrare, Francesca Gallo, Johnathan W. Hair, Miguel Ricardo A. Hilario, Simon Kirschler, Richard H. Moore, Taylor J. Shingler, Michael A. Shook, Kenneth L. Thornhill, Christiane Voigt, Edward L. Winstead, Luke D. Ziemba, and Armin Sorooshian
Atmos. Chem. Phys., 24, 10385–10408, https://doi.org/10.5194/acp-24-10385-2024, https://doi.org/10.5194/acp-24-10385-2024, 2024
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Using aircraft measurements over the northwestern Atlantic between the US East Coast and Bermuda and trajectory modeling of continental outflow, we identify trace gas and particle properties that exhibit gradients with offshore distance and quantify these changes with high-resolution measurements of concentrations and particle chemistry, size, and scattering properties. This work furthers our understanding of the complex interactions between continental and marine environments.
Shuaiqi Tang, Hailong Wang, Xiang-Yu Li, Jingyi Chen, Armin Sorooshian, Xubin Zeng, Ewan Crosbie, Kenneth L. Thornhill, Luke D. Ziemba, and Christiane Voigt
Atmos. Chem. Phys., 24, 10073–10092, https://doi.org/10.5194/acp-24-10073-2024, https://doi.org/10.5194/acp-24-10073-2024, 2024
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We examined marine boundary layer clouds and their interactions with aerosols in the E3SM single-column model (SCM) for a case study. The SCM shows good agreement when simulating the clouds with high-resolution models. It reproduces the relationship between cloud droplet and aerosol particle number concentrations as produced in global models. However, the relationship between cloud liquid water and droplet number concentration is different, warranting further investigation.
Taiwo Ajayi, Yonghoon Choi, Ewan C. Crosbie, Joshua P. DiGangi, Glenn S. Diskin, Marta A. Fenn, Richard A. Ferrare, Johnathan W. Hair, Miguel Ricardo A. Hilario, Chris A. Hostetler, Simon Kirschler, Richard H. Moore, Taylor J. Shingler, Michael A. Shook, Cassidy Soloff, Kenneth L. Thornhill, Christiane Voigt, Edward L. Winstead, Luke D. Ziemba, and Armin Sorooshian
Atmos. Chem. Phys., 24, 9197–9218, https://doi.org/10.5194/acp-24-9197-2024, https://doi.org/10.5194/acp-24-9197-2024, 2024
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This study uses airborne data to examine vertical profiles of trace gases, aerosol particles, and meteorological variables over a remote marine area (Bermuda). Results show distinct differences based on both air mass source region (North America, Ocean, Caribbean/North Africa) and altitude for a given air mass type. This work highlights the sensitivity of remote marine areas to long-range transport and the importance of considering the vertical dependence of trace gas and aerosol properties.
Sanja Dmitrovic, Johnathan W. Hair, Brian L. Collister, Ewan Crosbie, Marta A. Fenn, Richard A. Ferrare, David B. Harper, Chris A. Hostetler, Yongxiang Hu, John A. Reagan, Claire E. Robinson, Shane T. Seaman, Taylor J. Shingler, Kenneth L. Thornhill, Holger Vömel, Xubin Zeng, and Armin Sorooshian
Atmos. Meas. Tech., 17, 3515–3532, https://doi.org/10.5194/amt-17-3515-2024, https://doi.org/10.5194/amt-17-3515-2024, 2024
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This study introduces and evaluates a new ocean surface wind speed product from the NASA Langley Research Center (LARC) airborne High-Spectral-Resolution Lidar – Generation 2 (HSRL-2) during the NASA ACTIVATE mission. We show that HSRL-2 surface wind speed data are accurate when compared to ground-truth dropsonde measurements. Therefore, the HSRL-2 instrument is able obtain accurate, high-resolution surface wind speed data in airborne field campaigns.
Ewan Crosbie, Luke D. Ziemba, Michael A. Shook, Taylor Shingler, Johnathan W. Hair, Armin Sorooshian, Richard A. Ferrare, Brian Cairns, Yonghoon Choi, Joshua DiGangi, Glenn S. Diskin, Chris Hostetler, Simon Kirschler, Richard H. Moore, David Painemal, Claire Robinson, Shane T. Seaman, K. Lee Thornhill, Christiane Voigt, and Edward Winstead
Atmos. Chem. Phys., 24, 6123–6152, https://doi.org/10.5194/acp-24-6123-2024, https://doi.org/10.5194/acp-24-6123-2024, 2024
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Marine clouds are found to clump together in regions or lines, readily discernible from satellite images of the ocean. While clustering is also a feature of deep storm clouds, we focus on smaller cloud systems associated with fair weather and brief localized showers. Two aircraft sampled the region around these shallow systems: one incorporated measurements taken within, adjacent to, and below the clouds, while the other provided a survey from above using remote sensing techniques.
Josie K. Radtke, Benjamin N. Kies, Whitney A. Mottishaw, Sydney M. Zeuli, Aidan T. H. Voon, Kelly L. Koerber, Grant W. Petty, Michael P. Vermeuel, Timothy H. Bertram, Ankur R. Desai, Joseph P. Hupy, R. Bradley Pierce, Timothy J. Wagner, and Patricia A. Cleary
Atmos. Meas. Tech., 17, 2833–2847, https://doi.org/10.5194/amt-17-2833-2024, https://doi.org/10.5194/amt-17-2833-2024, 2024
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The use of uncrewed aircraft systems (UASs) to conduct a vertical profiling of ozone and meteorological variables was evaluated using comparisons between tower or ground observations and UAS-based measurements. Changes to the UAS profiler showed an improvement in performance. The profiler was used to see the impact of Chicago pollution plumes on a shoreline area near Lake Michigan.
Delaney B. Kilgour, Gordon A. Novak, Megan S. Claflin, Brian M. Lerner, and Timothy H. Bertram
Atmos. Chem. Phys., 24, 3729–3742, https://doi.org/10.5194/acp-24-3729-2024, https://doi.org/10.5194/acp-24-3729-2024, 2024
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Laboratory experiments with seawater mimics suggest ozone deposition to the surface ocean can be a source of reactive carbon to the marine atmosphere. We conduct both field and laboratory measurements to assess abiotic VOC composition and yields from ozonolysis of real surface seawater. We show that C5–C11 aldehydes contribute to the observed VOC emission flux. We estimate that VOCs generated by the ozonolysis of surface seawater are competitive with biological VOC production and emission.
Eva-Lou Edwards, Yonghoon Choi, Ewan C. Crosbie, Joshua P. DiGangi, Glenn S. Diskin, Claire E. Robinson, Michael A. Shook, Edward L. Winstead, Luke D. Ziemba, and Armin Sorooshian
Atmos. Chem. Phys., 24, 3349–3378, https://doi.org/10.5194/acp-24-3349-2024, https://doi.org/10.5194/acp-24-3349-2024, 2024
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We investigate Cl− depletion in sea salt particles over the northwest Atlantic from December 2021 to June 2022 using an airborne dataset. Losses of Cl− are greatest in May and least in December–February and March. Inorganic acidic species can account for all depletion observed for December–February, March, and June near Bermuda but none in May. Quantifying Cl− depletion as a percentage captures seasonal trends in depletion but fails to convey the effects it may have on atmospheric oxidation.
Luis F. Millán, Matthew D. Lebsock, Ken B. Cooper, Jose V. Siles, Robert Dengler, Raquel Rodriguez Monje, Amin Nehrir, Rory A. Barton-Grimley, James E. Collins, Claire E. Robinson, Kenneth L. Thornhill, and Holger Vömel
Atmos. Meas. Tech., 17, 539–559, https://doi.org/10.5194/amt-17-539-2024, https://doi.org/10.5194/amt-17-539-2024, 2024
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In this study, we describe and validate a new technique in which three radar tones are used to estimate the water vapor inside clouds and precipitation. This instrument flew on board NASA's P-3 aircraft during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) campaign and the Synergies Of Active optical and Active microwave Remote Sensing Experiment (SOA2RSE) campaign.
Miguel Ricardo A. Hilario, Avelino F. Arellano, Ali Behrangi, Ewan C. Crosbie, Joshua P. DiGangi, Glenn S. Diskin, Michael A. Shook, Luke D. Ziemba, and Armin Sorooshian
Atmos. Meas. Tech., 17, 37–55, https://doi.org/10.5194/amt-17-37-2024, https://doi.org/10.5194/amt-17-37-2024, 2024
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Wet scavenging strongly influences aerosol lifetime and interactions but is a large uncertainty in global models. We present a method to identify meteorological variables relevant for estimating wet scavenging. During long-range transport over the tropical western Pacific, relative humidity and the frequency of humid conditions are better predictors of scavenging than precipitation. This method can be applied to other regions, and our findings can inform scavenging parameterizations in models.
Calvin Howes, Pablo E. Saide, Hugh Coe, Amie Dobracki, Steffen Freitag, Jim M. Haywood, Steven G. Howell, Siddhant Gupta, Janek Uin, Mary Kacarab, Chongai Kuang, L. Ruby Leung, Athanasios Nenes, Greg M. McFarquhar, James Podolske, Jens Redemann, Arthur J. Sedlacek, Kenneth L. Thornhill, Jenny P. S. Wong, Robert Wood, Huihui Wu, Yang Zhang, Jianhao Zhang, and Paquita Zuidema
Atmos. Chem. Phys., 23, 13911–13940, https://doi.org/10.5194/acp-23-13911-2023, https://doi.org/10.5194/acp-23-13911-2023, 2023
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To better understand smoke properties and its interactions with clouds, we compare the WRF-CAM5 model with observations from ORACLES, CLARIFY, and LASIC field campaigns in the southeastern Atlantic in August 2017. The model transports and mixes smoke well but does not fully capture some important processes. These include smoke chemical and physical aging over 4–12 days, smoke removal by rain, sulfate particle formation, aerosol activation into cloud droplets, and boundary layer turbulence.
Simon Kirschler, Christiane Voigt, Bruce E. Anderson, Gao Chen, Ewan C. Crosbie, Richard A. Ferrare, Valerian Hahn, Johnathan W. Hair, Stefan Kaufmann, Richard H. Moore, David Painemal, Claire E. Robinson, Kevin J. Sanchez, Amy J. Scarino, Taylor J. Shingler, Michael A. Shook, Kenneth L. Thornhill, Edward L. Winstead, Luke D. Ziemba, and Armin Sorooshian
Atmos. Chem. Phys., 23, 10731–10750, https://doi.org/10.5194/acp-23-10731-2023, https://doi.org/10.5194/acp-23-10731-2023, 2023
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In this study we present an overview of liquid and mixed-phase clouds and precipitation in the marine boundary layer over the western North Atlantic Ocean. We compare microphysical properties of pure liquid clouds to mixed-phase clouds and show that the initiation of the ice phase in mixed-phase clouds promotes precipitation. The observational data presented in this study are well suited for investigating the processes that give rise to liquid and mixed-phase clouds, ice, and precipitation.
Qian Xiao, Jiaoshi Zhang, Yang Wang, Luke D. Ziemba, Ewan Crosbie, Edward L. Winstead, Claire E. Robinson, Joshua P. DiGangi, Glenn S. Diskin, Jeffrey S. Reid, K. Sebastian Schmidt, Armin Sorooshian, Miguel Ricardo A. Hilario, Sarah Woods, Paul Lawson, Snorre A. Stamnes, and Jian Wang
Atmos. Chem. Phys., 23, 9853–9871, https://doi.org/10.5194/acp-23-9853-2023, https://doi.org/10.5194/acp-23-9853-2023, 2023
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Using recent airborne measurements, we show that the influences of anthropogenic emissions, transport, convective clouds, and meteorology lead to new particle formation (NPF) under a variety of conditions and at different altitudes in tropical marine environments. NPF is enhanced by fresh urban emissions in convective outflow but is suppressed in air masses influenced by aged urban emissions where reactive precursors are mostly consumed while particle surface area remains relatively high.
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.
Rose Marie Miller, Robert M. Rauber, Larry Di Girolamo, Matthew Rilloraza, Dongwei Fu, Greg M. McFarquhar, Stephen W. Nesbitt, Luke D. Ziemba, Sarah Woods, and Kenneth Lee Thornhill
Atmos. Chem. Phys., 23, 8959–8977, https://doi.org/10.5194/acp-23-8959-2023, https://doi.org/10.5194/acp-23-8959-2023, 2023
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The influence of human-produced aerosols on clouds remains one of the uncertainties in radiative forcing of Earth’s climate. Measurements of aerosol chemistry from sources around the Philippines illustrate the linkage between aerosol chemical composition and cloud droplet characteristics. Differences in aerosol chemical composition in the marine layer from biomass burning, industrial, ship-produced, and marine aerosols are shown to impact cloud microphysical structure just above cloud base.
Armin Sorooshian, Mikhail D. Alexandrov, Adam D. Bell, Ryan Bennett, Grace Betito, Sharon P. Burton, Megan E. Buzanowicz, Brian Cairns, Eduard V. Chemyakin, Gao Chen, Yonghoon Choi, Brian L. Collister, Anthony L. Cook, Andrea F. Corral, Ewan C. Crosbie, Bastiaan van Diedenhoven, Joshua P. DiGangi, Glenn S. Diskin, Sanja Dmitrovic, Eva-Lou Edwards, Marta A. Fenn, Richard A. Ferrare, David van Gilst, Johnathan W. Hair, David B. Harper, Miguel Ricardo A. Hilario, Chris A. Hostetler, Nathan Jester, Michael Jones, Simon Kirschler, Mary M. Kleb, John M. Kusterer, Sean Leavor, Joseph W. Lee, Hongyu Liu, Kayla McCauley, Richard H. Moore, Joseph Nied, Anthony Notari, John B. Nowak, David Painemal, Kasey E. Phillips, Claire E. Robinson, Amy Jo Scarino, Joseph S. Schlosser, Shane T. Seaman, Chellappan Seethala, Taylor J. Shingler, Michael A. Shook, Kenneth A. Sinclair, William L. Smith Jr., Douglas A. Spangenberg, Snorre A. Stamnes, Kenneth L. Thornhill, Christiane Voigt, Holger Vömel, Andrzej P. Wasilewski, Hailong Wang, Edward L. Winstead, Kira Zeider, Xubin Zeng, Bo Zhang, Luke D. Ziemba, and Paquita Zuidema
Earth Syst. Sci. Data, 15, 3419–3472, https://doi.org/10.5194/essd-15-3419-2023, https://doi.org/10.5194/essd-15-3419-2023, 2023
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The NASA Aerosol Cloud meTeorology Interactions oVer the western ATlantic Experiment (ACTIVATE) produced a unique dataset for research into aerosol–cloud–meteorology interactions. HU-25 Falcon and King Air aircraft conducted systematic and spatially coordinated flights over the northwest Atlantic Ocean. This paper describes the ACTIVATE flight strategy, instrument and complementary dataset products, data access and usage details, and data application notes.
Jason A. Otkin, Lee M. Cronce, Jonathan L. Case, R. Bradley Pierce, Monica Harkey, Allen Lenzen, David S. Henderson, Zac Adelman, Tsengel Nergui, and Christopher R. Hain
Atmos. Chem. Phys., 23, 7935–7954, https://doi.org/10.5194/acp-23-7935-2023, https://doi.org/10.5194/acp-23-7935-2023, 2023
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We performed model simulations to assess the impact of different parameterization schemes, surface initialization datasets, and analysis nudging on lower-tropospheric conditions near Lake Michigan. Simulations were run with high-resolution, real-time datasets depicting lake surface temperatures, green vegetation fraction, and soil moisture. The most accurate results were obtained when using high-resolution sea surface temperature and soil datasets to constrain the model simulations.
Haihui Zhu, Randall V. Martin, Betty Croft, Shixian Zhai, Chi Li, Liam Bindle, Jeffrey R. Pierce, Rachel Y.-W. Chang, Bruce E. Anderson, Luke D. Ziemba, Johnathan W. Hair, Richard A. Ferrare, Chris A. Hostetler, Inderjeet Singh, Deepangsu Chatterjee, Jose L. Jimenez, Pedro Campuzano-Jost, Benjamin A. Nault, Jack E. Dibb, Joshua S. Schwarz, and Andrew Weinheimer
Atmos. Chem. Phys., 23, 5023–5042, https://doi.org/10.5194/acp-23-5023-2023, https://doi.org/10.5194/acp-23-5023-2023, 2023
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Particle size of atmospheric aerosol is important for estimating its climate and health effects, but simulating atmospheric aerosol size is computationally demanding. This study derives a simple parameterization of the size of organic and secondary inorganic ambient aerosol that can be applied to atmospheric models. Applying this parameterization allows a better representation of the global spatial pattern of aerosol size, as verified by ground and airborne measurements.
Shixian Zhai, Daniel J. Jacob, Drew C. Pendergrass, Nadia K. Colombi, Viral Shah, Laura Hyesung Yang, Qiang Zhang, Shuxiao Wang, Hwajin Kim, Yele Sun, Jin-Soo Choi, Jin-Soo Park, Gan Luo, Fangqun Yu, Jung-Hun Woo, Younha Kim, Jack E. Dibb, Taehyoung Lee, Jin-Seok Han, Bruce E. Anderson, Ke Li, and Hong Liao
Atmos. Chem. Phys., 23, 4271–4281, https://doi.org/10.5194/acp-23-4271-2023, https://doi.org/10.5194/acp-23-4271-2023, 2023
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Anthropogenic fugitive dust in East Asia not only causes severe coarse particulate matter air pollution problems, but also affects fine particulate nitrate. Due to emission control efforts, coarse PM decreased steadily. We find that the decrease of coarse PM is a major driver for a lack of decrease of fine particulate nitrate, as it allows more nitric acid to form fine particulate nitrate. The continuing decrease of coarse PM requires more stringent ammonia and nitrogen oxides emission controls.
Francesca Gallo, Janek Uin, Kevin J. Sanchez, Richard H. Moore, Jian Wang, Robert Wood, Fan Mei, Connor Flynn, Stephen Springston, Eduardo B. Azevedo, Chongai Kuang, and Allison C. Aiken
Atmos. Chem. Phys., 23, 4221–4246, https://doi.org/10.5194/acp-23-4221-2023, https://doi.org/10.5194/acp-23-4221-2023, 2023
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This study provides a summary statistic of multiday aerosol plume transport event influences on aerosol physical properties and the cloud condensation nuclei budget at the U.S. Department of Energy Atmospheric Radiation Measurement Facility in the eastern North Atlantic (ENA). An algorithm that integrates aerosol properties is developed and applied to identify multiday aerosol transport events. The influence of the aerosol plumes on aerosol populations at the ENA is successively assessed.
Michael P. Vermeuel, Gordon A. Novak, Delaney B. Kilgour, Megan S. Claflin, Brian M. Lerner, Amy M. Trowbridge, Jonathan Thom, Patricia A. Cleary, Ankur R. Desai, and Timothy H. Bertram
Atmos. Chem. Phys., 23, 4123–4148, https://doi.org/10.5194/acp-23-4123-2023, https://doi.org/10.5194/acp-23-4123-2023, 2023
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Reactive carbon species emitted from natural sources such as forests play an important role in the chemistry of the atmosphere. Predictions of these emissions are based on plant responses during the growing season and do not consider potential effects from seasonal changes. To address this, we made measurements of reactive carbon over a forest during the summer to autumn transition. We learned that observed concentrations and emissions for some key species are larger than model predictions.
Francesca Gallo, Kevin J. Sanchez, Bruce E. Anderson, Ryan Bennett, Matthew D. Brown, Ewan C. Crosbie, Chris Hostetler, Carolyn Jordan, Melissa Yang Martin, Claire E. Robinson, Lynn M. Russell, Taylor J. Shingler, Michael A. Shook, Kenneth L. Thornhill, Elizabeth B. Wiggins, Edward L. Winstead, Armin Wisthaler, Luke D. Ziemba, and Richard H. Moore
Atmos. Chem. Phys., 23, 1465–1490, https://doi.org/10.5194/acp-23-1465-2023, https://doi.org/10.5194/acp-23-1465-2023, 2023
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We integrate in situ ship- and aircraft-based measurements of aerosol, trace gases, and meteorological parameters collected during the NASA North Atlantic Aerosols and Marine Ecosystems Study (NAAMES) field campaigns in the western North Atlantic Ocean region. A comprehensive characterization of the vertical profiles of aerosol properties under different seasonal regimes is provided for improving the understanding of aerosol key processes and aerosol–cloud interactions in marine regions.
Allison B. Marquardt Collow, Virginie Buchard, Peter R. Colarco, Arlindo M. da Silva, Ravi Govindaraju, Edward P. Nowottnick, Sharon Burton, Richard Ferrare, Chris Hostetler, and Luke Ziemba
Atmos. Chem. Phys., 22, 16091–16109, https://doi.org/10.5194/acp-22-16091-2022, https://doi.org/10.5194/acp-22-16091-2022, 2022
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Biomass burning aerosol impacts aspects of the atmosphere and Earth system through radiative forcing, serving as cloud condensation nuclei, and air quality. Despite its importance, the representation of biomass burning aerosol is not always accurate in models. Field campaign observations from CAMP2Ex are used to evaluate the mass and extinction of aerosols in the GEOS model. Notable biases in the model illuminate areas of future development with GEOS and the underlying GOCART aerosol module.
Bastiaan van Diedenhoven, Otto P. Hasekamp, Brian Cairns, Gregory L. Schuster, Snorre Stamnes, Michael Shook, and Luke Ziemba
Atmos. Meas. Tech., 15, 7411–7434, https://doi.org/10.5194/amt-15-7411-2022, https://doi.org/10.5194/amt-15-7411-2022, 2022
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The strong variability in the chemistry of atmospheric particulate matter affects the amount of water aerosols absorb and their effect on climate. We present a remote sensing method to determine the amount of water in particulate matter. Its application to airborne instruments indicates that the observed aerosols have rather low water contents and low fractions of soluble particles. Future satellites will be able to yield global aerosol water uptake data.
Pamela S. Rickly, Hongyu Guo, Pedro Campuzano-Jost, Jose L. Jimenez, Glenn M. Wolfe, Ryan Bennett, Ilann Bourgeois, John D. Crounse, Jack E. Dibb, Joshua P. DiGangi, Glenn S. Diskin, Maximilian Dollner, Emily M. Gargulinski, Samuel R. Hall, Hannah S. Halliday, Thomas F. Hanisco, Reem A. Hannun, Jin Liao, Richard Moore, Benjamin A. Nault, John B. Nowak, Jeff Peischl, Claire E. Robinson, Thomas Ryerson, Kevin J. Sanchez, Manuel Schöberl, Amber J. Soja, Jason M. St. Clair, Kenneth L. Thornhill, Kirk Ullmann, Paul O. Wennberg, Bernadett Weinzierl, Elizabeth B. Wiggins, Edward L. Winstead, and Andrew W. Rollins
Atmos. Chem. Phys., 22, 15603–15620, https://doi.org/10.5194/acp-22-15603-2022, https://doi.org/10.5194/acp-22-15603-2022, 2022
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Biomass burning sulfur dioxide (SO2) emission factors range from 0.27–1.1 g kg-1 C. Biomass burning SO2 can quickly form sulfate and organosulfur, but these pathways are dependent on liquid water content and pH. Hydroxymethanesulfonate (HMS) appears to be directly emitted from some fire sources but is not the sole contributor to the organosulfur signal. It is shown that HMS and organosulfur chemistry may be an important S(IV) reservoir with the fate dependent on the surrounding conditions.
Youhua Tang, Patrick C. Campbell, Pius Lee, Rick Saylor, Fanglin Yang, Barry Baker, Daniel Tong, Ariel Stein, Jianping Huang, Ho-Chun Huang, Li Pan, Jeff McQueen, Ivanka Stajner, Jose Tirado-Delgado, Youngsun Jung, Melissa Yang, Ilann Bourgeois, Jeff Peischl, Tom Ryerson, Donald Blake, Joshua Schwarz, Jose-Luis Jimenez, James Crawford, Glenn Diskin, Richard Moore, Johnathan Hair, Greg Huey, Andrew Rollins, Jack Dibb, and Xiaoyang Zhang
Geosci. Model Dev., 15, 7977–7999, https://doi.org/10.5194/gmd-15-7977-2022, https://doi.org/10.5194/gmd-15-7977-2022, 2022
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This paper compares two meteorological datasets for driving a regional air quality model: a regional meteorological model using WRF (WRF-CMAQ) and direct interpolation from an operational global model (GFS-CMAQ). In the comparison with surface measurements and aircraft data in summer 2019, these two methods show mixed performance depending on the corresponding meteorological settings. Direct interpolation is found to be a viable method to drive air quality models.
Hossein Dadashazar, Andrea F. Corral, Ewan Crosbie, Sanja Dmitrovic, Simon Kirschler, Kayla McCauley, Richard Moore, Claire Robinson, Joseph S. Schlosser, Michael Shook, K. Lee Thornhill, Christiane Voigt, Edward Winstead, Luke Ziemba, and Armin Sorooshian
Atmos. Chem. Phys., 22, 13897–13913, https://doi.org/10.5194/acp-22-13897-2022, https://doi.org/10.5194/acp-22-13897-2022, 2022
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Multi-season airborne data over the northwestern Atlantic show that organic mass fraction and the relative amount of oxygenated organics within that fraction are enhanced in droplet residual particles as compared to particles below and above cloud. In-cloud aqueous processing is shown to be a potential driver of this compositional shift in cloud. This implies that aerosol–cloud interactions in the region reduce aerosol hygroscopicity due to the jump in the organic : sulfate ratio in cloud.
Ewan Crosbie, Luke D. Ziemba, Michael A. Shook, Claire E. Robinson, Edward L. Winstead, K. Lee Thornhill, Rachel A. Braun, Alexander B. MacDonald, Connor Stahl, Armin Sorooshian, Susan C. van den Heever, Joshua P. DiGangi, Glenn S. Diskin, Sarah Woods, Paola Bañaga, Matthew D. Brown, Francesca Gallo, Miguel Ricardo A. Hilario, Carolyn E. Jordan, Gabrielle R. Leung, Richard H. Moore, Kevin J. Sanchez, Taylor J. Shingler, and Elizabeth B. Wiggins
Atmos. Chem. Phys., 22, 13269–13302, https://doi.org/10.5194/acp-22-13269-2022, https://doi.org/10.5194/acp-22-13269-2022, 2022
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The linkage between cloud droplet and aerosol particle chemical composition was analyzed using samples collected in a polluted tropical marine environment. Variations in the droplet composition were related to physical and dynamical processes in clouds to assess their relative significance across three cases that spanned a range of rainfall amounts. In spite of the pollution, sea salt still remained a major contributor to the droplet composition and was preferentially enhanced in rainwater.
Eva-Lou Edwards, Jeffrey S. Reid, Peng Xian, Sharon P. Burton, Anthony L. Cook, Ewan C. Crosbie, Marta A. Fenn, Richard A. Ferrare, Sean W. Freeman, John W. Hair, David B. Harper, Chris A. Hostetler, Claire E. Robinson, Amy Jo Scarino, Michael A. Shook, G. Alexander Sokolowsky, Susan C. van den Heever, Edward L. Winstead, Sarah Woods, Luke D. Ziemba, and Armin Sorooshian
Atmos. Chem. Phys., 22, 12961–12983, https://doi.org/10.5194/acp-22-12961-2022, https://doi.org/10.5194/acp-22-12961-2022, 2022
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This study compares NAAPS-RA model simulations of aerosol optical thickness (AOT) and extinction to those retrieved with a high spectral resolution lidar near the Philippines. Agreement for AOT was good, and extinction agreement was strongest below 1500 m. Substituting dropsonde relative humidities into NAAPS-RA did not drastically improve agreement, and we discuss potential reasons why. Accurately modeling future conditions in this region is crucial due to its susceptibility to climate change.
Nicole A. June, Anna L. Hodshire, Elizabeth B. Wiggins, Edward L. Winstead, Claire E. Robinson, K. Lee Thornhill, Kevin J. Sanchez, Richard H. Moore, Demetrios Pagonis, Hongyu Guo, Pedro Campuzano-Jost, Jose L. Jimenez, Matthew M. Coggon, Jonathan M. Dean-Day, T. Paul Bui, Jeff Peischl, Robert J. Yokelson, Matthew J. Alvarado, Sonia M. Kreidenweis, Shantanu H. Jathar, and Jeffrey R. Pierce
Atmos. Chem. Phys., 22, 12803–12825, https://doi.org/10.5194/acp-22-12803-2022, https://doi.org/10.5194/acp-22-12803-2022, 2022
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The evolution of organic aerosol composition and size is uncertain due to variability within and between smoke plumes. We examine the impact of plume concentration on smoke evolution from smoke plumes sampled by the NASA DC-8 during FIREX-AQ. We find that observed organic aerosol and size distribution changes are correlated to plume aerosol mass concentrations. Additionally, coagulation explains the majority of the observed growth.
Samuel E. LeBlanc, Michal Segal-Rozenhaimer, Jens Redemann, Connor Flynn, Roy R. Johnson, Stephen E. Dunagan, Robert Dahlgren, Jhoon Kim, Myungje Choi, Arlindo da Silva, Patricia Castellanos, Qian Tan, Luke Ziemba, Kenneth Lee Thornhill, and Meloë Kacenelenbogen
Atmos. Chem. Phys., 22, 11275–11304, https://doi.org/10.5194/acp-22-11275-2022, https://doi.org/10.5194/acp-22-11275-2022, 2022
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Airborne observations of atmospheric particles and pollution over Korea during a field campaign in May–June 2016 showed that the smallest atmospheric particles are present in the lowest 2 km of the atmosphere. The aerosol size is more spatially variable than optical thickness. We show this with remote sensing (4STAR), in situ (LARGE) observations, satellite measurements (GOCI), and modeled properties (MERRA-2), and it is contrary to the current understanding.
Ilann Bourgeois, Jeff Peischl, J. Andrew Neuman, Steven S. Brown, Hannah M. Allen, Pedro Campuzano-Jost, Matthew M. Coggon, Joshua P. DiGangi, Glenn S. Diskin, Jessica B. Gilman, Georgios I. Gkatzelis, Hongyu Guo, Hannah A. Halliday, Thomas F. Hanisco, Christopher D. Holmes, L. Gregory Huey, Jose L. Jimenez, Aaron D. Lamplugh, Young Ro Lee, Jakob Lindaas, Richard H. Moore, Benjamin A. Nault, John B. Nowak, Demetrios Pagonis, Pamela S. Rickly, Michael A. Robinson, Andrew W. Rollins, Vanessa Selimovic, Jason M. St. Clair, David Tanner, Krystal T. Vasquez, Patrick R. Veres, Carsten Warneke, Paul O. Wennberg, Rebecca A. Washenfelder, Elizabeth B. Wiggins, Caroline C. Womack, Lu Xu, Kyle J. Zarzana, and Thomas B. Ryerson
Atmos. Meas. Tech., 15, 4901–4930, https://doi.org/10.5194/amt-15-4901-2022, https://doi.org/10.5194/amt-15-4901-2022, 2022
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Understanding fire emission impacts on the atmosphere is key to effective air quality management and requires accurate measurements. We present a comparison of airborne measurements of key atmospheric species in ambient air and in fire smoke. We show that most instruments performed within instrument uncertainties. In some cases, further work is needed to fully characterize instrument performance. Comparing independent measurements using different techniques is important to assess their accuracy.
Daniel L. Goldberg, Monica Harkey, Benjamin de Foy, Laura Judd, Jeremiah Johnson, Greg Yarwood, and Tracey Holloway
Atmos. Chem. Phys., 22, 10875–10900, https://doi.org/10.5194/acp-22-10875-2022, https://doi.org/10.5194/acp-22-10875-2022, 2022
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TROPOMI measurements offer a valuable means to validate emissions inventories and ozone formation regimes, with important limitations. Lightning NOx is important to account for in Texas and can contribute up to 24 % of the column NO2 in rural areas and 8 % in urban areas. Modeled NO2 in urban areas agrees with TROPOMI NO2 to within 20 % in most circumstances, with a small underestimate in Dallas (−13 %) and Houston (−20 %). Near Texas power plants, the satellite appears to underrepresent NO2.
Edward Gryspeerdt, Daniel T. McCoy, Ewan Crosbie, Richard H. Moore, Graeme J. Nott, David Painemal, Jennifer Small-Griswold, Armin Sorooshian, and Luke Ziemba
Atmos. Meas. Tech., 15, 3875–3892, https://doi.org/10.5194/amt-15-3875-2022, https://doi.org/10.5194/amt-15-3875-2022, 2022
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Droplet number concentration is a key property of clouds, influencing a variety of cloud processes. It is also used for estimating the cloud response to aerosols. The satellite retrieval depends on a number of assumptions – different sampling strategies are used to select cases where these assumptions are most likely to hold. Here we investigate the impact of these strategies on the agreement with in situ data, the droplet number climatology and estimates of the indirect radiative forcing.
Simon Kirschler, Christiane Voigt, Bruce Anderson, Ramon Campos Braga, Gao Chen, Andrea F. Corral, Ewan Crosbie, Hossein Dadashazar, Richard A. Ferrare, Valerian Hahn, Johannes Hendricks, Stefan Kaufmann, Richard Moore, Mira L. Pöhlker, Claire Robinson, Amy J. Scarino, Dominik Schollmayer, Michael A. Shook, K. Lee Thornhill, Edward Winstead, Luke D. Ziemba, and Armin Sorooshian
Atmos. Chem. Phys., 22, 8299–8319, https://doi.org/10.5194/acp-22-8299-2022, https://doi.org/10.5194/acp-22-8299-2022, 2022
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In this study we show that the vertical velocity dominantly impacts the cloud droplet number concentration (NC) of low-level clouds over the western North Atlantic in the winter and summer season, while the cloud condensation nuclei concentration, aerosol size distribution and chemical composition impact NC within a season. The observational data presented in this study can evaluate and improve the representation of aerosol–cloud interactions for a wide range of conditions.
Linghan Zeng, Jack Dibb, Eric Scheuer, Joseph M. Katich, Joshua P. Schwarz, Ilann Bourgeois, Jeff Peischl, Tom Ryerson, Carsten Warneke, Anne E. Perring, Glenn S. Diskin, Joshua P. DiGangi, John B. Nowak, Richard H. Moore, Elizabeth B. Wiggins, Demetrios Pagonis, Hongyu Guo, Pedro Campuzano-Jost, Jose L. Jimenez, Lu Xu, and Rodney J. Weber
Atmos. Chem. Phys., 22, 8009–8036, https://doi.org/10.5194/acp-22-8009-2022, https://doi.org/10.5194/acp-22-8009-2022, 2022
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Wildfires emit aerosol particles containing brown carbon material that affects visibility and global climate and is toxic. Brown carbon is poorly characterized due to measurement limitations, and its evolution in the atmosphere is not well known. We report on aircraft measurements of brown carbon from large wildfires in the western United States. We compare two methods for measuring brown carbon and study the evolution of brown carbon in the smoke as it moved away from the burning regions.
Joel C. Corbin, Tobias Schripp, Bruce E. Anderson, Greg J. Smallwood, Patrick LeClercq, Ewan C. Crosbie, Steven Achterberg, Philip D. Whitefield, Richard C. Miake-Lye, Zhenhong Yu, Andrew Freedman, Max Trueblood, David Satterfield, Wenyan Liu, Patrick Oßwald, Claire Robinson, Michael A. Shook, Richard H. Moore, and Prem Lobo
Atmos. Meas. Tech., 15, 3223–3242, https://doi.org/10.5194/amt-15-3223-2022, https://doi.org/10.5194/amt-15-3223-2022, 2022
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The combustion of sustainable aviation fuels in aircraft engines produces particulate matter (PM) emissions with different properties than conventional fuels due to changes in fuel composition. Consequently, the response of various diagnostic instruments to PM emissions may be impacted. We found no significant instrument biases in terms of particle mass, number, and size measurements for conventional and sustainable aviation fuel blends despite large differences in the magnitude of emissions.
Gordon A. Novak, Delaney B. Kilgour, Christopher M. Jernigan, Michael P. Vermeuel, and Timothy H. Bertram
Atmos. Chem. Phys., 22, 6309–6325, https://doi.org/10.5194/acp-22-6309-2022, https://doi.org/10.5194/acp-22-6309-2022, 2022
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We describe field measurements of the mixing ratio and oceanic emission flux of dimethyl sulfide (DMS) and methanethiol (MeSH) from a coastal ocean site. DMS is known to impact aerosol formation and growth in the marine atmosphere, influencing cloud formation and climate. Measurements of MeSH, which is produced by the same oceanic source as DMS, are rare. We show that MeSH emissions are large and must be measured alongside DMS to understand marine sulfur chemistry and aerosol formation.
Meloë S. F. Kacenelenbogen, Qian Tan, Sharon P. Burton, Otto P. Hasekamp, Karl D. Froyd, Yohei Shinozuka, Andreas J. Beyersdorf, Luke Ziemba, Kenneth L. Thornhill, Jack E. Dibb, Taylor Shingler, Armin Sorooshian, Reed W. Espinosa, Vanderlei Martins, Jose L. Jimenez, Pedro Campuzano-Jost, Joshua P. Schwarz, Matthew S. Johnson, Jens Redemann, and Gregory L. Schuster
Atmos. Chem. Phys., 22, 3713–3742, https://doi.org/10.5194/acp-22-3713-2022, https://doi.org/10.5194/acp-22-3713-2022, 2022
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The impact of aerosols on Earth's radiation budget and human health is important and strongly depends on their composition. One desire of our scientific community is to derive the composition of the aerosol from satellite sensors. However, satellites observe aerosol optical properties (and not aerosol composition) based on remote sensing instrumentation. This study assesses how much aerosol optical properties can tell us about aerosol composition.
Matthew S. Norgren, John Wood, K. Sebastian Schmidt, Bastiaan van Diedenhoven, Snorre A. Stamnes, Luke D. Ziemba, Ewan C. Crosbie, Michael A. Shook, A. Scott Kittelman, Samuel E. LeBlanc, Stephen Broccardo, Steffen Freitag, and Jeffrey S. Reid
Atmos. Meas. Tech., 15, 1373–1394, https://doi.org/10.5194/amt-15-1373-2022, https://doi.org/10.5194/amt-15-1373-2022, 2022
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A new spectral instrument (SPN-S), with the ability to partition solar radiation into direct and diffuse components, is used in airborne settings to study the optical properties of aerosols and cirrus. It is a low-cost and mechanically simple system but has higher measurement uncertainty than existing standards. This challenge is overcome by utilizing the unique measurement capabilities to develop new retrieval techniques. Validation is done with data from two NASA airborne research campaigns.
Adam T. Ahern, Frank Erdesz, Nicholas L. Wagner, Charles A. Brock, Ming Lyu, Kyra Slovacek, Richard H. Moore, Elizabeth B. Wiggins, and Daniel M. Murphy
Atmos. Meas. Tech., 15, 1093–1105, https://doi.org/10.5194/amt-15-1093-2022, https://doi.org/10.5194/amt-15-1093-2022, 2022
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Particles in the atmosphere play a significant role in climate change by scattering light back into space, reducing the amount of energy available to be absorbed by greenhouse gases. We built a new instrument to measure what direction light is scattered by particles, e.g., wildfire smoke. This is important because, depending on the angle of the sun, some particles scatter light into space (cooling the planet), but some light is also scattered towards the Earth (not cooling the planet).
Kevin J. Sanchez, Bo Zhang, Hongyu Liu, Matthew D. Brown, Ewan C. Crosbie, Francesca Gallo, Johnathan W. Hair, Chris A. Hostetler, Carolyn E. Jordan, Claire E. Robinson, Amy Jo Scarino, Taylor J. Shingler, Michael A. Shook, Kenneth L. Thornhill, Elizabeth B. Wiggins, Edward L. Winstead, Luke D. Ziemba, Georges Saliba, Savannah L. Lewis, Lynn M. Russell, Patricia K. Quinn, Timothy S. Bates, Jack Porter, Thomas G. Bell, Peter Gaube, Eric S. Saltzman, Michael J. Behrenfeld, and Richard H. Moore
Atmos. Chem. Phys., 22, 2795–2815, https://doi.org/10.5194/acp-22-2795-2022, https://doi.org/10.5194/acp-22-2795-2022, 2022
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Atmospheric particle concentrations impact clouds, which strongly impact the amount of sunlight reflected back into space and the overall climate. Measurements of particles over the ocean are rare and expensive to collect, so models are necessary to fill in the gaps by simulating both particle and clouds. However, some measurements are needed to test the accuracy of the models. Here, we measure changes in particles in different weather conditions, which are ideal for comparison with models.
Delaney B. Kilgour, Gordon A. Novak, Jon S. Sauer, Alexia N. Moore, Julie Dinasquet, Sarah Amiri, Emily B. Franklin, Kathryn Mayer, Margaux Winter, Clare K. Morris, Tyler Price, Francesca Malfatti, Daniel R. Crocker, Christopher Lee, Christopher D. Cappa, Allen H. Goldstein, Kimberly A. Prather, and Timothy H. Bertram
Atmos. Chem. Phys., 22, 1601–1613, https://doi.org/10.5194/acp-22-1601-2022, https://doi.org/10.5194/acp-22-1601-2022, 2022
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We report measurements of gas-phase volatile organosulfur molecules made during a mesocosm phytoplankton bloom experiment. Dimethyl sulfide (DMS), methanethiol (MeSH), and benzothiazole accounted for on average over 90 % of total gas-phase sulfur emissions. This work focuses on factors controlling the production and emission of DMS and MeSH and the role of non-DMS molecules (such as MeSH and benzothiazole) in secondary sulfate formation in coastal marine environments.
Tiziana Bräuer, Christiane Voigt, Daniel Sauer, Stefan Kaufmann, Valerian Hahn, Monika Scheibe, Hans Schlager, Felix Huber, Patrick Le Clercq, Richard H. Moore, and Bruce E. Anderson
Atmos. Chem. Phys., 21, 16817–16826, https://doi.org/10.5194/acp-21-16817-2021, https://doi.org/10.5194/acp-21-16817-2021, 2021
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Over half of aviation climate impact is caused by contrails. Biofuels can reduce the ice crystal numbers in contrails and mitigate the climate impact. The experiment ECLIF II/NDMAX in 2018 assessed the effects of biofuels on contrails and aviation emissions. The NASA DC-8 aircraft performed measurements inside the contrail of the DLR A320. One reference fuel and two blends of the biofuel HEFA and kerosene are analysed. We find a max reduction of contrail ice numbers through biofuel use of 40 %.
Shixian Zhai, Daniel J. Jacob, Jared F. Brewer, Ke Li, Jonathan M. Moch, Jhoon Kim, Seoyoung Lee, Hyunkwang Lim, Hyun Chul Lee, Su Keun Kuk, Rokjin J. Park, Jaein I. Jeong, Xuan Wang, Pengfei Liu, Gan Luo, Fangqun Yu, Jun Meng, Randall V. Martin, Katherine R. Travis, Johnathan W. Hair, Bruce E. Anderson, Jack E. Dibb, Jose L. Jimenez, Pedro Campuzano-Jost, Benjamin A. Nault, Jung-Hun Woo, Younha Kim, Qiang Zhang, and Hong Liao
Atmos. Chem. Phys., 21, 16775–16791, https://doi.org/10.5194/acp-21-16775-2021, https://doi.org/10.5194/acp-21-16775-2021, 2021
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Geostationary satellite aerosol optical depth (AOD) has tremendous potential for monitoring surface fine particulate matter (PM2.5). Our study explored the physical relationship between AOD and PM2.5 by integrating data from surface networks, aircraft, and satellites with the GEOS-Chem chemical transport model. We quantitatively showed that accurate simulation of aerosol size distributions, boundary layer depths, relative humidity, coarse particles, and diurnal variations in PM2.5 are essential.
Zachary C. J. Decker, Michael A. Robinson, Kelley C. Barsanti, Ilann Bourgeois, Matthew M. Coggon, Joshua P. DiGangi, Glenn S. Diskin, Frank M. Flocke, Alessandro Franchin, Carley D. Fredrickson, Georgios I. Gkatzelis, Samuel R. Hall, Hannah Halliday, Christopher D. Holmes, L. Gregory Huey, Young Ro Lee, Jakob Lindaas, Ann M. Middlebrook, Denise D. Montzka, Richard Moore, J. Andrew Neuman, John B. Nowak, Brett B. Palm, Jeff Peischl, Felix Piel, Pamela S. Rickly, Andrew W. Rollins, Thomas B. Ryerson, Rebecca H. Schwantes, Kanako Sekimoto, Lee Thornhill, Joel A. Thornton, Geoffrey S. Tyndall, Kirk Ullmann, Paul Van Rooy, Patrick R. Veres, Carsten Warneke, Rebecca A. Washenfelder, Andrew J. Weinheimer, Elizabeth Wiggins, Edward Winstead, Armin Wisthaler, Caroline Womack, and Steven S. Brown
Atmos. Chem. Phys., 21, 16293–16317, https://doi.org/10.5194/acp-21-16293-2021, https://doi.org/10.5194/acp-21-16293-2021, 2021
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To understand air quality impacts from wildfires, we need an accurate picture of how wildfire smoke changes chemically both day and night as sunlight changes the chemistry of smoke. We present a chemical analysis of wildfire smoke as it changes from midday through the night. We use aircraft observations from the FIREX-AQ field campaign with a chemical box model. We find that even under sunlight typical
nighttimechemistry thrives and controls the fate of key smoke plume chemical processes.
Cited articles
Abbatt, J. P. D., Lee, A. K. Y., and Thornton, J. A.: Quantifying trace gas
uptake to tropospheric aerosol: recent advances and remaining challenges,
Chem. Soc. Rev., 41, 6555–6581, https://doi.org/10.1039/c2cs35052a, 2012.
Abel, D. W., Holloway, T., Harkey, M., Meier, P., Ahl, D., Limaye, V. S., and
Patz, J. A.: Air-quality-related health impacts from climate change and from
adaptation of cooling demand for buildings in the eastern United States: An
interdisciplinary modeling study, PLoS Med., 15, 1–27,
https://doi.org/10.1371/journal.pmed.1002599, 2018.
Abel, D. W., Holloway, T., Martínez-Santos, J., Harkey, M., Tao, M.,
Kubes, C., and Hayes, S.: Air Quality-Related Health Benefits of Energy
Efficiency in the United States, Environ. Sci. Technol., 53, 3987–3998,
https://doi.org/10.1021/acs.est.8b06417, 2019.
Adams, P. J. and Seinfeld, J. H.: Predicting global aerosol size
distributions in general circulation models, J. Geophys. Res.-Atmos.,
107(19), AAC 4-1-AAC 4-23, https://doi.org/10.1029/2001JD001010, 2002.
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.
Baker, K. R., Woody, M. C., Valin, L., Szykman, J., Yates, E. L., Iraci, L.
T., Choi, H. D., Soja, A. J., Koplitz, S. N., Zhou, L., Campuzano-Jost, P.,
Jimenez, J. L., and Hair, J. W.: Photochemical model evaluation of 2013
California wild fire air quality impacts using surface, aircraft, and
satellite data, Sci. Total Environ., 637–638, 1137–1149,
https://doi.org/10.1016/j.scitotenv.2018.05.048, 2018.
Bates, T. S., Quinn, P. K., Coffman, D., Schulz, K., Covert, D. S., Johnson,
J. E., Williams, E. J., Lerner, B. M., Angevine, W. M., Tucker, S. C.,
Brewer, W. A., and Stohl, A.: Boundary layer aerosol chemistry during
TexAQS/GoMACCS 2006: Insights into aerosol sources and transformation
processes, J. Geophys. Res., 113, 1–18, https://doi.org/10.1029/2008jd010023, 2008.
Bertram, T. H. and Bergin, R. A.: Observation-based constraints on modeled aerosol surface area, MINDS@UW [data set], https://minds.wisconsin.edu/handle/1793/83241, last access: 27 May 2022.
Bertram, T. H. and Thornton, J. A.: Toward a general parameterization of N2O5 reactivity on aqueous particles: the competing effects of particle liquid water, nitrate and chloride, Atmos. Chem. Phys., 9, 8351–8363, https://doi.org/10.5194/acp-9-8351-2009, 2009.
Binkowski, F. S.: Chapter 10 – AEROSOLS IN MODELS-3 CMAQ, in: SCIENCE ALGORITHMS OF THE EPA MODELS-3 COMMUNITY MULTISCALE AIR QUALITY (CMAQ) MODELING SYSTEM, edited by: Byun, D. W. and Ching, J. K. S., 10-1–10-23, U.S. Environmental Protection Agency, Washington, DC., EPA/600/R-99/030 (NTIS PB2000-100561), 1999.
Binkowski, F. S. and Roselle, S. J.: Models-3 Community Multiscale Air Quality (CMAQ) model aerosol component, 1, Model description, J. Geophys. Res., 108, 4183, https://doi.org/10.1029/2001JD001409, 2003.
Brown, S. S., Dubé, W. P., Fuchs, H., Ryerson, T. B., Wollny, A. G.,
Brock, C. A., Bahreini, R., Middlebrook, A. M., Neuman, T. A., Atlas, E.,
Roberts, J. M., Osthoff, H. D., Trainer, M., Fehsenfeld, F. C., and
Ravishankara, A. R.: Reactive uptake coefficients for N2O5 determined from
aircraft measurements during the Second Texas Air Quality Study: Comparison
to current model parameterizations, J. Geophys. Res.-Atmos., 114, 1–16,
https://doi.org/10.1029/2008JD011679, 2009.
Byun, D. and Schere, K. L.: Review of the governing equations,
computational algorithms, and other components of the Models-3 Community
Multiscale Air Quality (CMAQ) modeling, Appl. Mech. Rev., 59, 51–77,
https://doi.org/10.1115/1.2128636, 2006.
Carlton, A. G., Bhave, P. V., Napelenok, S. L., Edney, E. O., Sarwar, G.,
Pinder, R. W., Pouliot, G. A., and Houyoux, M.: Model representation of
secondary organic aerosol in CMAQv4.7, Environ. Sci. Technol., 44,
8553–8560, https://doi.org/10.1021/es100636q, 2010.
Chang, W. L., Bhave, P. V., Brown, S. S., Riemer, N., Stutz, J., and Dabdub,
D.: Heterogeneous atmospheric chemistry, ambient measurements, and model
calculations of N2O5: A review, Aerosol Sci. Technol., 45, 665–695,
https://doi.org/10.1080/02786826.2010.551672, 2011.
Chen, J., Yin, D., Zhao, Z., Kaduwela, A. P., Avise, J. C., DaMassa, J. A.,
Beyersdorf, A., Burton, S., Ferrare, R., Herman, J. R., Kim, H., Neuman, A.,
Nowak, J. B., Parworth, C., Scarino, A. J., Wisthaler, A., Young, D. E., and
Zhang, Q.: Modeling air quality in the San Joaquin valley of California
during the 2013 Discover-AQ field campaign, Atmos. Environ. X, 5, 100067,
https://doi.org/10.1016/j.aeaoa.2020.100067, 2020.
Crawford, J. H. and Pickering, K. E.: DISCOVER-AQ: Advancing strategies for
air quality observations in the next decade, EM Air Waste Manag. Assoc. Mag.
Environ. Manag., 4–7, https://pubs.awma.org/flip/EM-Sept-2014/emsept14.pdf (last access: 29 November 2022), 2014.
Crawford, J. H., Dickerson, R. R., and Hains, J. C.: DISCOVER-AQ:
Observations and early results, EM Air Waste Manag. Assoc. Mag. Environ.
Manag., 8–15, https://pubs.awma.org/flip/EM-Sept-2014/emsept14.pdf (last access: 29 November 2022), 2014.
Davis, J. M., Bhave, P. V., and Foley, K. M.: Parameterization of N2O5 reaction probabilities on the surface of particles containing ammonium, sulfate, and nitrate, Atmos. Chem. Phys., 8, 5295–5311, https://doi.org/10.5194/acp-8-5295-2008, 2008.
Donahue, N. M., Robinson, A. L., Trump, E. R., Riipinen, I., and Kroll, J. H.: Volatility and Aging of Atmospheric Organic Aerosol, in: Atmospheric and Aerosol Chemistry, edited by: McNeill, V. F. and Ariya, P. A., 97–143, Springer Berlin Heidelberg, Berlin, Heidelberg, https://doi.org/10.1007/128_2012_355, 2012.
Elleman, R. A. and Covert, D. S.: Aerosol size distribution modeling with the Community Multiscale Air Quality modeling system in the Pacific Northwest: 1. Model comparison to observations, J. Geophys. Res.-Atmos., 114, D11206, https://doi.org/10.1029/2008JD010791, 2009a.
Elleman, R. A. and Covert, D. S.: Aerosol size distribution modeling with
the Community Multiscale Air Quality modeling system in the Pacific
Northwest: 2. Parameterizations for ternary nucleation and nucleation mode
processes, J. Geophys. Res., 114, D11207, https://doi.org/10.1029/2009JD012187, 2009b.
Elleman, R. A. and Covert, D. S.: Aerosol size distribution modeling with
the Community Multiscale Air Quality modeling system in the Pacific
Northwest: 3. Size distribution of particles emitted into a mesoscale model,
J. Geophys. Res.-Atmos., 115, 1–14, https://doi.org/10.1029/2009JD012401, 2010.
Emery, C., Jung, J., Koo, B., and Yarwood, G.: Improvements to CAMx snow
cover treatments and carbon bond chemical mechanism for winter ozone,
Ramboll Environ, 43 pp., Report Number UDAQ PO 480 52000000001, https://www.camx.com/files/udaq_snowchem_final_6aug15.pdf (last access: 29 November 2022), 2015.
Emmons, L. K., Walters, S., Hess, P. G., Lamarque, J.-F., Pfister, G. G., Fillmore, D., Granier, C., Guenther, A., Kinnison, D., Laepple, T., Orlando, J., Tie, X., Tyndall, G., Wiedinmyer, C., Baughcum, S. L., and Kloster, S.: Description and evaluation of the Model for Ozone and Related chemical Tracers, version 4 (MOZART-4), Geosci. Model Dev., 3, 43–67, https://doi.org/10.5194/gmd-3-43-2010, 2010.
Evans, M. J. and Jacob, D. J.: Impact of new laboratory studies of N2O5
hydrolysis on global model budgets of tropospheric nitrogen oxides, ozone,
and OH, Geophys. Res. Lett., 32, 1–4, https://doi.org/10.1029/2005GL022469, 2005.
Fan, J., Zhang, R., Li, G., Nielsen-Gammon, J., and Li, Z.: Simulations of
fine particulate matter (PM2.5) in Houston, Texas, J. Geophys. Res. D
Atmos., 110, 1–9, https://doi.org/10.1029/2005JD005805, 2005.
Foley, K. M., Roselle, S. J., Appel, K. W., Bhave, P. V., Pleim, J. E., Otte, T. L., Mathur, R., Sarwar, G., Young, J. O., Gilliam, R. C., Nolte, C. G., Kelly, J. T., Gilliland, A. B., and Bash, J. O.: Incremental testing of the Community Multiscale Air Quality (CMAQ) modeling system version 4.7, Geosci. Model Dev., 3, 205–226, https://doi.org/10.5194/gmd-3-205-2010, 2010.
Gantt, B., Johnson, M. S., Meskhidze, N., Sciare, J., Ovadnevaite, J., Ceburnis, D., and O'Dowd, C. D.: Model evaluation of marine primary organic aerosol emission schemes, Atmos. Chem. Phys., 12, 8553–8566, https://doi.org/10.5194/acp-12-8553-2012, 2012.
Gaston, C. J., Riedel, T. P., Zhang, Z., Gold, A., Surratt, J. D., and
Thornton, J. A.: Reactive uptake of an isoprene-derived epoxydiol to
submicron aerosol particles, Environ. Sci. Technol., 48, 11178–11186,
https://doi.org/10.1021/es5034266, 2014.
Gelbard, F., Tambour, Y., and Seinfeld, J. H.: Sectional representations for
simulating aerosol dynamics, J. Colloid Interface Sci., 76, 541–556,
https://doi.org/10.1016/0021-9797(80)90394-X, 1980.
George, I. J., Matthews, P. S. J., Whalley, L. K., Brooks, B., Goddard, A.,
Baeza-Romero, M. T., and Heard, D. E.: Measurements of uptake coefficients
for heterogeneous loss of HO2 onto submicron inorganic salt aerosols, Phys.
Chem. Chem. Phys., 15, 12829–12845, https://doi.org/10.1039/c3cp51831k, 2013.
Geyer, A. and Stutz, J.: Vertical profiles of NO3, N2O5, O3, and NOx in the
nocturnal boundary layer: 2. Model studies on the altitude dependence of
composition and chemistry, J. Geophys. Res. D Atmos., 109, 1–18,
https://doi.org/10.1029/2003JD004211, 2004.
Ghan, S., Laulainen, N., Easter, R., Wagener, R., Nemesure, S., Chapman, E.,
Zhang, Y., and Leung, R.: Evaluation of aerosol direct radiative forcing in
MIRAGE, J. Geophys. Res., 106, 5295–5316, 2001.
Ghim, Y. S., Choi, Y., Kim, S., Bae, C. H., Park, J., and Shin, H. J.:
Evaluation of model performance for forecasting fine particle concentrations
in Korea, Aerosol Air Qual. Res., 17, 1856–1864,
https://doi.org/10.4209/aaqr.2016.10.0446, 2017.
Guenther, A. B., Jiang, X., Heald, C. L., Sakulyanontvittaya, T., Duhl, T., Emmons, L. K., and Wang, X.: The Model of Emissions of Gases and Aerosols from Nature version 2.1 (MEGAN2.1): an extended and updated framework for modeling biogenic emissions, Geosci. Model Dev., 5, 1471–1492, https://doi.org/10.5194/gmd-5-1471-2012, 2012.
Harkey, M., Holloway, T., Kim, E. J., Baker, K. R., and Henderson, B.:
Satellite Formaldehyde to Support Model Evaluation, J. Geophys. Res.-Atmos.,
126, 1–18, https://doi.org/10.1029/2020JD032881, 2021.
Hogrefe, C., Lynn, B., Goldberg, R., Rosenzweig, C., Zalewsky, E., Hao, W.,
Doraiswamy, P., Civerolo, K., Ku, J. Y., Sistla, G., and Kinney, P. L.: A
combined model-observation approach to estimate historic gridded fields of
PM2.5 mass and species concentrations, Atmos. Environ., 43, 2561–2570,
https://doi.org/10.1016/j.atmosenv.2009.02.031, 2009.
Hogrefe, C., Pouliot, G., Wong, D., Torian, A., Roselle, S., Pleim, J., and
Mathur, R.: Annual application and evaluation of the online coupled WRF-CMAQ
system over North America under AQMEII phase 2, Atmos. Environ., 115,
683–694, https://doi.org/10.1016/j.atmosenv.2014.12.034, 2015.
Jacobson, M. Z.: GATOR-GCMM: A global- through urban-scale air pollution and
weather forecast model 1. Model design and treatment of subgrid soil,
vegetation, roads, rooftops, water, sea ice, and snow, J. Geophys. Res.-Atmos., 106, 5385–5401, https://doi.org/10.1029/2000JD900560, 2001.
Jaeglé, L., Shah, V., Thornton, J. A., Lopez-Hilfiker, F. D., Lee, B.
H., McDuffie, E. E., Fibiger, D., Brown, S. S., Veres, P., Sparks, T. L.,
Ebben, C. J., Wooldridge, P. J., Kenagy, H. S., Cohen, R. C., Weinheimer, A.
J., Campos, T. L., Montzka, D. D., Digangi, J. P., Wolfe, G. M., Hanisco,
T., Schroder, J. C., Campuzano-Jost, P., Day, D. A., Jimenez, J. L.,
Sullivan, A. P., Guo, H., and Weber, R. J.: Nitrogen Oxides Emissions,
Chemistry, Deposition, and Export Over the Northeast United States During
the WINTER Aircraft Campaign, J. Geophys. Res.-Atmos., 123,
12368–12393, https://doi.org/10.1029/2018JD029133, 2018.
Kelly, J. T., Avise, J., Cai, C., and Kaduwela, A. P.: Simulating particle
size distributions over California and impact on lung deposition fraction,
Aerosol Sci. Technol., 45, 148–162, https://doi.org/10.1080/02786826.2010.528078,
2011.
Kleeman, M. J., Cass, G. R., and Eldering, A.: Modeling the airborne particle
complex as a source-oriented external mixture, J. Geophys. Res.-Atmos.,
102, 21355–21372, https://doi.org/10.1029/97jd01261, 1997.
Kleinman, L. I., Springston, S. R., Daum, P. H., Lee, Y.-N., Nunnermacker, L. J., Senum, G. I., Wang, J., Weinstein-Lloyd, J., Alexander, M. L., Hubbe, J., Ortega, J., Canagaratna, M. R., and Jayne, J.: The time evolution of aerosol composition over the Mexico City plateau, Atmos. Chem. Phys., 8, 1559–1575, https://doi.org/10.5194/acp-8-1559-2008, 2008.
Knote, C., Brunner, D., Vogel, H., Allan, J., Asmi, A., Äijälä, M., Carbone, S., van der Gon, H. D., Jimenez, J. L., Kiendler-Scharr, A., Mohr, C., Poulain, L., Prévôt, A. S. H., Swietlicki, E., and Vogel, B.: Towards an online-coupled chemistry-climate model: evaluation of trace gases and aerosols in COSMO-ART, Geosci. Model Dev., 4, 1077–1102, https://doi.org/10.5194/gmd-4-1077-2011, 2011.
Kulmala, M., Laaksonen, A., and Pirjola, L.: Parameterizations for sulfuric
acid/water nucleation rates, J. Geophys. Res.-Atmos., 103, 8301–8307,
https://doi.org/10.1029/97JD03718, 1998.
Lakey, P. S. J., George, I. J., Whalley, L. K., Baeza-Romero, M. T., and
Heard, D. E.: Measurements of the HO2 Uptake Coefficients onto Single
Component Organic Aerosols, Environ. Sci. Technol., 49, 4878–4885,
https://doi.org/10.1021/acs.est.5b00948, 2015.
Lee, Y. H. and Adams, P. J.: A fast and efficient version of the TwO-Moment
Aerosol Sectional (TOMAS) global aerosol microphysics model, Aerosol Sci.
Technol., 46, 678–689, https://doi.org/10.1080/02786826.2011.643259, 2012.
Lee, Y. H., Chen, K., and Adams, P. J.: Development of a global model of mineral dust aerosol microphysics, Atmos. Chem. Phys., 9, 2441–2458, https://doi.org/10.5194/acp-9-2441-2009, 2009.
Liu, P. and Zhang, Y.: Use of a process analysis tool for diagnostic study
on fine particulate matter predictions in the U.S. – Part I: Model
evaluation, Atmos. Pollut. Res., 2, 49–60, https://doi.org/10.5094/APR.2011.007,
2011.
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.
Luo, G. and Yu, F.: Simulation of particle formation and number concentration over the Eastern United States with the WRF-Chem + APM model, Atmos. Chem. Phys., 11, 11521–11533, https://doi.org/10.5194/acp-11-11521-2011, 2011.
Macintyre, H. L. and Evans, M. J.: Sensitivity of a global model to the uptake of N2O5 by tropospheric aerosol, Atmos. Chem. Phys., 10, 7409–7414, https://doi.org/10.5194/acp-10-7409-2010, 2010.
Mann, G. W., Carslaw, K. S., Spracklen, D. V., Ridley, D. A., Manktelow, P. T., Chipperfield, M. P., Pickering, S. J., and Johnson, C. E.: Description and evaluation of GLOMAP-mode: a modal global aerosol microphysics model for the UKCA composition-climate model, Geosci. Model Dev., 3, 519–551, https://doi.org/10.5194/gmd-3-519-2010, 2010.
Martin, R. V, Jacob, D. J., Yantosca, R. M., Chin, M., and Ginoux, P.: Global and regional decreases in tropospheric oxidants from photochemical effects of aerosols, J. Geophys. Res., 108, 4097, https://doi.org/10.1029/2002JD002622, 2003.
McDuffie, E. E., Fibiger, D. L., Dubé, W. P., Lopez-Hilfiker, F., Lee,
B. H., Thornton, J. A., Shah, V., Jaeglé, L., Guo, H., Weber, R. J.,
Michael Reeves, J., Weinheimer, A. J., Schroder, J. C., Campuzano-Jost, P.,
Jimenez, J. L., Dibb, J. E., Veres, P., Ebben, C., Sparks, T. L.,
Wooldridge, P. J., Cohen, R. C., Hornbrook, R. S., Apel, E. C., Campos, T.,
Hall, S. R., Ullmann, K., and Brown, S. S.: Heterogeneous N2O5 Uptake During
Winter: Aircraft Measurements During the 2015 WINTER Campaign and Critical
Evaluation of Current Parameterizations, J. Geophys. Res.-Atmos., 123,
4345–4372, https://doi.org/10.1002/2018JD028336, 2018.
Meng, Z.: of Atmospheric Aerosol Dynamics, Environ. Eng., 103, 3419–3435,
1998.
Messinger, F., DiMego, G., Kalnay, E., Mitchell, K., Shafran, P. C., Ebisuzaki, W., Jović, D., Woollen, J., Rogers, E., Berbery, E. H., Ek, M. B., Fan, Y., Grumbine, R., Higgins, W., Li, H., Lin, Y., Manikin, G., Parrish, D., and Shi, W.: North American Regional Reanalysis, B. Am. Meteorol. Soc., 87, 343–360, https://doi.org/10.1175/BAMS-87-3-343, 2006.
Moore, R. H., Wiggins, E. B., Ahern, A. T., Zimmerman, S., Montgomery, L., Campuzano Jost, P., Robinson, C. E., Ziemba, L. D., Winstead, E. L., Anderson, B. E., Brock, C. A., Brown, M. D., Chen, G., Crosbie, E. C., Guo, H., Jimenez, J. L., Jordan, C. E., Lyu, M., Nault, B. A., Rothfuss, N. E., Sanchez, K. J., Schueneman, M., Shingler, T. J., Shook, M. A., Thornhill, K. L., Wagner, N. L., and Wang, J.: Sizing response of the Ultra-High Sensitivity Aerosol Spectrometer (UHSAS) and Laser Aerosol Spectrometer (LAS) to changes in submicron aerosol composition and refractive index, Atmos. Meas. Tech., 14, 4517–4542, https://doi.org/10.5194/amt-14-4517-2021, 2021.
NASA: DISCOVER-AQ: Diagnosing the Air We Breathe, http://www.nasa.gov/discover-aq (last access: 11 April 2022), 2012.
NASA/LARC/SD/ASDC: DISCOVER-AQ P-3B Aircraft in-situ Trace Gas Measurements, NASA Langley Atmospheric Science Data Center DAAC [data set], https://doi.org/10.5067/AIRCRAFT/DISCOVER-AQ/AEROSOL-TRACEGAS, 2014.
NEIC: National Emissions Inventory Collaborative, 2016v1 Emiss. Model.
Platf, http://views.cira.colostate.edu/wiki/wiki/10202 (last access: 3 November 2021), 2019.
Nolte, C. G., Appel, K. W., Kelly, J. T., Bhave, P. V., Fahey, K. M., Collett Jr., J. L., Zhang, L., and Young, J. O.: Evaluation of the Community Multiscale Air Quality (CMAQ) model v5.0 against size-resolved measurements of inorganic particle composition across sites in North America, Geosci. Model Dev., 8, 2877–2892, https://doi.org/10.5194/gmd-8-2877-2015, 2015.
Pan, X., Kanaya, Y., Tanimoto, H., Inomata, S., Wang, Z., Kudo, S., and Uno, I.: Examining the major contributors of ozone pollution in a rural area of the Yangtze River Delta region during harvest season, Atmos. Chem. Phys., 15, 6101–6111, https://doi.org/10.5194/acp-15-6101-2015, 2015.
Park, S. K., Marmur, A., Kim, S. B., Tian, D., Hu, Y., McMurry, P. H., and
Russell, A. G.: Evaluation of fine particle number concentrations in CMAQ,
Aerosol Sci. Technol., 40, 985–996, https://doi.org/10.1080/02786820600907353,
2006.
Portmann, R. W., Solomon, S., Garcia, R. R., Thomason, L. W., Poole, L. R., and McCormick, M. P.: Role of aerosol variations in anthropogenic ozone
depletion in the polar regions, J. Geophys. Res.-Atmos., 101,
22991–23006, https://doi.org/10.1029/96jd02608, 1996.
Prank, M., Sofiev, M., Tsyro, S., Hendriks, C., Semeena, V., Vazhappilly Francis, X., Butler, T., Denier van der Gon, H., Friedrich, R., Hendricks, J., Kong, X., Lawrence, M., Righi, M., Samaras, Z., Sausen, R., Kukkonen, J., and Sokhi, R.: Evaluation of the performance of four chemical transport models in predicting the aerosol chemical composition in Europe in 2005, Atmos. Chem. Phys., 16, 6041–6070, https://doi.org/10.5194/acp-16-6041-2016, 2016.
Pringle, K. J., Tost, H., Message, S., Steil, B., Giannadaki, D., Nenes, A., Fountoukis, C., Stier, P., Vignati, E., and Lelieveld, J.: Description and evaluation of GMXe: a new aerosol submodel for global simulations (v1), Geosci. Model Dev., 3, 391–412, https://doi.org/10.5194/gmd-3-391-2010, 2010.
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,
https://doi.org/10.1021/acs.est.5b03738, 2015.
Pye, H. O. T., Murphy, B. N., Xu, L., Ng, N. L., Carlton, A. G., Guo, H., Weber, R., Vasilakos, P., Appel, K. W., Budisulistiorini, S. H., Surratt, J. D., Nenes, A., Hu, W., Jimenez, J. L., Isaacman-VanWertz, G., Misztal, P. K., and Goldstein, A. H.: On the implications of aerosol liquid water and phase separation for organic aerosol mass, Atmos. Chem. Phys., 17, 343–369, https://doi.org/10.5194/acp-17-343-2017, 2017.
Qin, M., Murphy, B. N., Isaacs, K. K., McDonald, B. C., Lu, Q., McKeen, S.
A., Koval, L., Robinson, A. L., Efstathiou, C., Allen, C., and Pye, H. O.
T.: Criteria pollutant impacts of volatile chemical products informed by
near-field modeling, Nat. Sustain., 4, 129–137,
https://doi.org/10.1038/s41893-020-00614-1, 2021.
Ranjithkumar, A., Gordon, H., Williamson, C., Rollins, A., Pringle, K., Kupc, A., Abraham, N. L., Brock, C., and Carslaw, K.: Constraints on global aerosol number concentration, SO2 and condensation sink in UKESM1 using ATom measurements, Atmos. Chem. Phys., 21, 4979–5014, https://doi.org/10.5194/acp-21-4979-2021, 2021.
Ridley, B. A. and Grahek, F. E.: A small, low-flow, high-sensitivity
reaction vessel for NO chemiluminescence detectors, J. Atmos. Ocean.
Technol., 7, 307–311, https://doi.org/10.1175/1520-0426(1990)007<0307:aslfhs>2.0.co;2, 1990.
Sachse, G., Hill, G., Wade, L., and Perry, M.: Fast-response, high-precision
carbon monoxide sensor using a tunable diode laser absorption technique, J.
Geophys. Res.-Atmos., 92, 2071–2081, https://doi.org/10.1029/JD092iD02p02071, 1987.
Sartelet, K. N., Hayami, H., Albriet, B., and Sportisse, B.: Development and
preliminary validation of a modal aerosol model for tropospheric chemistry:
MAM, Aerosol Sci. Technol., 40, 118–127, https://doi.org/10.1080/02786820500485948,
2006.
Simon, H., Kimura, Y., McGaughey, G., Allen, D. T., Brown, S. S., Coffman,
D., Dibb, J., Osthoff, H. D., Quinn, P., Roberts, J. M., Yarwood, G.,
Kemball-Cook, S., Byun, D., and Lee, D.: Modeling heterogeneous ClNO2
formation, chloride availability, and chlorine cycling in Southeast Texas,
Atmos. Environ., 44, 5476–5488, https://doi.org/10.1016/j.atmosenv.2009.09.006,
2010.
Skamarock, W. C., 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, 113 pp., NCAR Tech. Note NCAR/TN-475+STR,
https://doi.org/10.5065/D68S4MVH, 2008.
Smyth, S. C., Jiang, W., Yin, D., Roth, H., and Giroux, É.: Evaluation of
CMAQ O3 and PM2.5 performance using Pacific 2001 measurement data, Atmos.
Environ., 40, 2735–2749, https://doi.org/10.1016/j.atmosenv.2005.10.068, 2006.
Sonntag, D. B., Baldauf, R. W., Yanca, C. A., and Fulper, C. R.: Particulate
matter speciation profiles for light-duty gasoline vehicles in the United
States, J. Air Waste Manage. Assoc., 64, 529–545,
https://doi.org/10.1080/10962247.2013.870096, 2014.
Spak, S. N. and Holloway, T.: Seasonality of speciated aerosol transport
over the Great Lakes region, J. Geophys. Res.-Atmos., 114, 1–18,
https://doi.org/10.1029/2008JD010598, 2009.
Spracklen, D. V., Carslaw, K. S., Kulmala, M., Kerminen, V.-M., Mann, G. W., and Sihto, S.-L.: The contribution of boundary layer nucleation events to total particle concentrations on regional and global scales, Atmos. Chem. Phys., 6, 5631–5648, https://doi.org/10.5194/acp-6-5631-2006, 2006.
Stadtler, S., Simpson, D., Schröder, S., Taraborrelli, D., Bott, A., and Schultz, M.: Ozone impacts of gas–aerosol uptake in global chemistry transport models, Atmos. Chem. Phys., 18, 3147–3171, https://doi.org/10.5194/acp-18-3147-2018, 2018.
Stier, P., Feichter, J., Kinne, S., Kloster, S., Vignati, E., Wilson, J., Ganzeveld, L., Tegen, I., Werner, M., Balkanski, Y., Schulz, M., Boucher, O., Minikin, A., and Petzold, A.: The aerosol-climate model ECHAM5-HAM, Atmos. Chem. Phys., 5, 1125–1156, https://doi.org/10.5194/acp-5-1125-2005, 2005.
Thornton, J. and Abbatt, J. P. D.: Measurements of HO 2 uptake to aqueous
aerosol: Mass accommodation coefficients and net reactive loss, J. Geophys.
Res., 110, 1–12, https://doi.org/10.1029/2004JD005402, 2005.
Thornton, J. A., Jaegle, L., and Mcneill, V. F.: Assessing known pathways for
HO2 loss in aqueous atmospheric aerosols: Regional and global impacts on
tropospheric oxidants, J. Geophys. Res., 113, 1–16,
https://doi.org/10.1029/2007JD009236, 2008.
Tie, X., Madronich, S., Li, G., Ying, Z., Weinheimer, A., Apel, E., and Campos, T.: Simulation of Mexico City plumes during the MIRAGE-Mex field campaign using the WRF-Chem model, Atmos. Chem. Phys., 9, 4621–4638, https://doi.org/10.5194/acp-9-4621-2009, 2009.
Trivitayanurak, W., Adams, P. J., Spracklen, D. V., and Carslaw, K. S.: Tropospheric aerosol microphysics simulation with assimilated meteorology: model description and intermodel comparison, Atmos. Chem. Phys., 8, 3149–3168, https://doi.org/10.5194/acp-8-3149-2008, 2008.
Trump, E. R., Riipinen, I., and Donahue, N. M.: Interactions between
atmospheric ultrafine particles and secondary organic aerosol mass: A model
study, Boreal Environ. Res., 19, 352–362, 2014.
Vignati, E., Wilson, J., and Stier, P.: M7: An efficient size-resolved
aerosol microphysics module for large-scale aerosol transport models, J.
Geophys. Res. D Atmos., 109, 1–17, https://doi.org/10.1029/2003JD004485, 2004.
Wang, M., Penner, J. E., and Liu, X.: Coupled IMPACT aerosol and NCAR CAM3
model: Evaluation of predicted aerosol number and size distribution, J.
Geophys. Res.-Atmos., 114, 1–30, https://doi.org/10.1029/2008JD010459, 2009.
Wang, X., Li, L., Gong, K., Mao, J., Hu, J., Li, J., Liu, Z., Liao, H., Qiu,
W., Yu, Y., Dong, H., Guo, S., Hu, M., Zeng, L. and Zhang, Y.: Modelling air
quality during the EXPLORE-YRD campaign – Part I. Model performance
evaluation and impacts of meteorological inputs and grid resolutions, Atmos.
Environ., 246, 118131, https://doi.org/10.1016/j.atmosenv.2020.118131,
2021.
Whitby, K. T.: The physical characteristics of sulfur aerosols, Atmos.
Environ., 12, 135–159, https://doi.org/10.1016/j.atmosenv.2007.10.057, 1978.
Xu, L., Pye, H. O. T., He, J., Chen, Y., Murphy, B. N., and Ng, N. L.: Experimental and model estimates of the contributions from biogenic monoterpenes and sesquiterpenes to secondary organic aerosol in the southeastern United States, Atmos. Chem. Phys., 18, 12613–12637, https://doi.org/10.5194/acp-18-12613-2018, 2018.
Yu, F. and Luo, G.: Simulation of particle size distribution with a global aerosol model: contribution of nucleation to aerosol and CCN number concentrations, Atmos. Chem. Phys., 9, 7691–7710, https://doi.org/10.5194/acp-9-7691-2009, 2009.
Yu, S., Mathur, R., Schere, K., Kang, D., Pleim, J., Young, J., Tong, D., Pouliot, G., McKeen, S. A., and Rao, S. T.: Evaluation of real-time PM2.5 forecasts and process analysis for PM2.5 formation over the eastern United States using the Eta-CMAQ forecast model during the 2004 ICARTT study, J. Geophys. Res.-Atmos., 113, D06204, https://doi.org/10.1029/2007JD009226, 2008a.
Yu, S., Mathur, R., Pleim, J., Pouliot, G., Wong, D., Eder, B., Schere, K., Gilliam, R., and Rao, S. T.: Comparative evaluation of the impact of WRF/NMM and WRF/ARW meteorology on CMAQ simulations for PM2.5 and its related precursors during the 2006 TexAQS/GoMACCS study, Atmos. Chem. Phys., 12, 4091–4106, https://doi.org/10.5194/acp-12-4091-2012, 2012.
Yu, Y., Sokhi, R. S., Kitwiroon, N., Middleton, D. R., and Fisher, B.:
Performance characteristics of MM5-SMOKE-CMAQ for a summer photochemical
episode in southeast England, United Kingdom, Atmos. Environ., 42,
4870–4883, https://doi.org/10.1016/j.atmosenv.2008.02.051, 2008b.
Zhang, K., Wan, H., Wang, B., Zhang, M., Feichter, J., and Liu, X.: Tropospheric aerosol size distributions simulated by three online global aerosol models using the M7 microphysics module, Atmos. Chem. Phys., 10, 6409–6434, https://doi.org/10.5194/acp-10-6409-2010, 2010a.
Zhang, Q., Xue, D., Liu, X., Gong, X., and Gao, H.: Process analysis of PM2.5 pollution events in a coastal city of China using CMAQ, J. Environ. Sci.
(China), 79, 225–238, https://doi.org/10.1016/j.jes.2018.09.007, 2019.
Zhang, Y., Liu, P., Queen, A., Misenis, C., Pun, B., Seigneur, C., and Wu, S.
Y.: A comprehensive performance evaluation of MM5-CMAQ for the Summer 1999
Southern Oxidants Study episode-Part II: Gas and aerosol predictions, Atmos.
Environ., 40, 4839–4855, https://doi.org/10.1016/j.atmosenv.2005.12.048, 2006.
Zhang, Y., Liu, P., Liu, X. H., Jacobson, M. Z., McMurry, P. H., Yu, F., Yu, S., and Schere, K. L.: A comparative study of nucleation parameterizations: 2. Three-dimensional model application and evaluation, J. Geophys. Res.-Atmos., 115, D20213, https://doi.org/10.1029/2010JD014151, 2010b.
Zhang, Y., Liu, P., Liu, X. H., Pun, B., Seigneur, C., Jacobson, M. Z. and
Wang, W. X.: Fine scale modeling of wintertime aerosol mass, number, and
size distributions in central California, J. Geophys. Res.-Atmos., 115, D15207, https://doi.org/10.1029/2009JD012950, 2010c.
Short summary
Correctly predicting aerosol surface area concentrations is important for determining the rate of heterogeneous reactions in chemical transport models. Here, we compare aircraft measurements of aerosol surface area with a regional model. In polluted air masses, we show that the model underpredicts aerosol surface area by a factor of 2. Despite this disagreement, the representation of heterogeneous chemistry still dominates the overall uncertainty in the loss rate of molecules such as N2O5.
Correctly predicting aerosol surface area concentrations is important for determining the rate...
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