Articles | Volume 15, issue 8
https://doi.org/10.5194/amt-15-2579-2022
© 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/amt-15-2579-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
28 Apr 2022
Research article |
| 28 Apr 2022
| 28 Apr 2022
Regularized inversion of aerosol hygroscopic growth factor probability density function: application to humidity-controlled fast integrated mobility spectrometer measurements
Jiaoshi Zhang
Center for Aerosol Science and Engineering, Washington University in
St. Louis, St. Louis, Missouri, USA
Center for Aerosol Science and Engineering, Washington University in
St. Louis, St. Louis, Missouri, USA
Department of Civil, Architectural and Environmental Engineering,
Missouri University of Science and Technology, Rolla, Missouri, USA
Steven Spielman
Aerosol Dynamics Inc, Berkeley, California, USA
Susanne Hering
Aerosol Dynamics Inc, Berkeley, California, USA
Center for Aerosol Science and Engineering, Washington University in
St. Louis, St. Louis, Missouri, USA
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long-range transport of aerosols from the continents was also identified.
Anna L. Hodshire, Emily Ramnarine, Ali Akherati, Matthew L. Alvarado, Delphine K. Farmer, Shantanu H. Jathar, Sonia M. Kreidenweis, Chantelle R. Lonsdale, Timothy B. Onasch, Stephen R. Springston, Jian Wang, Yang Wang, Lawrence I. Kleinman, Arthur J. Sedlacek III, and Jeffrey R. Pierce
Atmos. Chem. Phys., 21, 6839–6855, https://doi.org/10.5194/acp-21-6839-2021, https://doi.org/10.5194/acp-21-6839-2021, 2021
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Biomass burning emits particles and vapors that can impact both health and climate. Here, we investigate the role of dilution in the evolution of aerosol size and composition in observed US wildfire smoke plumes. Centers of plumes dilute more slowly than edges. We see differences in concentrations and composition between the centers and edges both in the first measurement and in subsequent measurements. Our findings support the hypothesis that plume dilution influences smoke aging.
Miguel Ricardo A. Hilario, Ewan Crosbie, Michael Shook, Jeffrey S. Reid, Maria Obiminda L. Cambaliza, James Bernard B. Simpas, Luke Ziemba, Joshua P. DiGangi, Glenn S. Diskin, Phu Nguyen, F. Joseph Turk, Edward Winstead, Claire E. Robinson, Jian Wang, Jiaoshi Zhang, Yang Wang, Subin Yoon, James Flynn, Sergio L. Alvarez, Ali Behrangi, and Armin Sorooshian
Atmos. Chem. Phys., 21, 3777–3802, https://doi.org/10.5194/acp-21-3777-2021, https://doi.org/10.5194/acp-21-3777-2021, 2021
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This study characterizes long-range transport from major Asian pollution sources into the tropical northwest Pacific and the impact of scavenging on these air masses. We combined aircraft observations, HYSPLIT trajectories, reanalysis, and satellite retrievals to reveal distinct composition and size distribution profiles associated with specific emission sources and wet scavenging. The results of this work have implications for international policymaking related to climate and health.
Zhibo Zhang, Qianqian Song, David B. Mechem, Vincent E. Larson, Jian Wang, Yangang Liu, Mikael K. Witte, Xiquan Dong, and Peng Wu
Atmos. Chem. Phys., 21, 3103–3121, https://doi.org/10.5194/acp-21-3103-2021, https://doi.org/10.5194/acp-21-3103-2021, 2021
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This study investigates the small-scale variations and covariations of cloud microphysical properties, namely, cloud liquid water content and cloud droplet number concentration, in marine boundary layer clouds based on in situ observation from the Aerosol and Cloud Experiments in the Eastern North Atlantic (ACE-ENA) campaign. We discuss the dependence of cloud variations on vertical location in cloud and the implications for warm-rain simulations in the global climate models.
Lawrence I. Kleinman, Arthur J. Sedlacek III, Kouji Adachi, Peter R. Buseck, Sonya Collier, Manvendra K. Dubey, Anna L. Hodshire, Ernie Lewis, Timothy B. Onasch, Jeffery R. Pierce, John Shilling, Stephen R. Springston, Jian Wang, Qi Zhang, Shan Zhou, and Robert J. Yokelson
Atmos. Chem. Phys., 20, 13319–13341, https://doi.org/10.5194/acp-20-13319-2020, https://doi.org/10.5194/acp-20-13319-2020, 2020
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Aerosols from wildfires affect the Earth's temperature by absorbing light or reflecting it back into space. This study investigates time-dependent chemical, microphysical, and optical properties of aerosols generated by wildfires in the Pacific Northwest, USA. Wildfire smoke plumes were traversed by an instrumented aircraft at locations near the fire and up to 3.5 h travel time downwind. Although there was no net aerosol production, aerosol particles grew and became more efficient scatters.
Guangjie Zheng, Chongai Kuang, Janek Uin, Thomas Watson, and Jian Wang
Atmos. Chem. Phys., 20, 12515–12525, https://doi.org/10.5194/acp-20-12515-2020, https://doi.org/10.5194/acp-20-12515-2020, 2020
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Condensational growth of Aitken-mode particles is a major source of cloud condensation nuclei in the remote marine boundary layer. It has been long thought that over remote oceans, condensation growth is dominated by sulfate that derives from ocean-emitted dimethyl sulfide. In this study, we present the first long-term observational evidence that, contrary to conventional thinking, organics play an even more important role than sulfate in particle growth over remote oceans throughout the year.
James F. Hurley, Nathan M. Kreisberg, Braden Stump, Chenyang Bi, Purushottam Kumar, Susanne V. Hering, Pat Keady, and Gabriel Isaacman-VanWertz
Atmos. Meas. Tech., 13, 4911–4925, https://doi.org/10.5194/amt-13-4911-2020, https://doi.org/10.5194/amt-13-4911-2020, 2020
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The chemical composition of aerosols has implications for human and ecosystem health. Current methods for determining chemical composition are expensive and require highly trained personnel. Our method is promising for moderate-cost, low-maintenance measurements of oxygen / carbon ratios, a key chemical parameter, and other elements may also be studied. In this work, we coupled two commonly used detectors to assess O / C ratios in a variety of compounds and mixtures within an acceptable error.
Cited articles
Collins, D. R., Flagan, R. C., and Seinfeld, J. H.: Improved Inversion of
Scanning DMA Data, Aerosol Sci. Tech., 36, 1–9, https://doi.org/10.1080/027868202753339032, 2002.
Colton, D. L. and Kress, R.: Inverse acoustic and electromagnetic scattering theory, Springer, https://doi.org/10.1007/978-1-4614-4942-3, 1998.
Gysel, M., Crosier, J., Topping, D. O., Whitehead, J. D., Bower, K. N., Cubison, M. J., Williams, P. I., Flynn, M. J., McFiggans, G. B., and Coe, H.: Closure study between chemical composition and hygroscopic growth of aerosol particles during TORCH2, Atmos. Chem. Phys., 7, 6131–6144, https://doi.org/0.5194/acp-7-6131-2007, 2007.
Gysel, M., McFiggans, G. B., and Coe, H.: Inversion of tandem differential
mobility analyser (TDMA) measurements, J. Aerosol Sci., 40, 134–151, https://doi.org/10.1016/j.jaerosci.2008.07.013, 2009.
Hanke, M. and Raus, T.: A General Heuristic for Choosing the Regularization
Parameter in Ill-Posed Problems, SIAM J. Sci. Comput., 17, 956–972, https://doi.org/10.1137/0917062, 1996.
Hansen, P. C.: Analysis of Discrete Ill-Posed Problems by Means of the
L-Curve, SIAM Rev., 34, 561–580, https://doi.org/10.1137/1034115, 1992.
Hansen, P. C.: REGULARIZATION TOOLS: A Matlab package for analysis and
solution of discrete ill-posed problems, Numer. Algorithms, 6, 1–35,
https://doi.org/10.1007/BF02149761, 1994.
Hansen, P. C., and O'Leary, D. P.: The Use of the L-Curve in the Regularization of Discrete Ill-Posed Problems, SIAM J. Sci. Comput., 14, 1487–1503, https://doi.org/10.1137/0914086, 1993.
Kandlikar, M. and Ramachandran, G.: INVERSE METHODS FOR ANALYSING AEROSOL
SPECTROMETER MEASUREMENTS: A CRITICAL REVIEW, J. Aerosol Sci., 30, 413–437, https://doi.org/10.1016/S0021-8502(98)00066-4, 1999.
Liu, B. Y. H., Pui, D. Y. H., Whitby, K. T., Kittelson, D. B., Kousaka, Y.,
and McKenzie, R. L.: The aerosol mobility chromatograph: A new detector for
sulfuric acid aerosols, Atmos. Environ., 12, 99–104, https://doi.org/10.1016/0004-6981(78)90192-0, 1978.
Markowski, G. R.: Improving Twomey's Algorithm for Inversion of Aerosol
Measurement Data, Aerosol Sci. Tech., 7, 127–141, https://doi.org/10.1080/02786828708959153, 1987.
Naseri, A., Sipkens, T. A., Rogak, S. N., and Olfert, J. S.: An improved
inversion method for determining two-dimensional mass distributions of
non-refractory materials on refractory black carbon, Aerosol Sci.
Tech., 55, 104–118, https://doi.org/10.1080/02786826.2020.1825615, 2021.
Olfert, J. S., Kulkarni, P., and Wang, J.: Measuring aerosol size distributions with the fast integrated mobility spectrometer, J. Aerosol Sci., 39, 940–956, https://doi.org/10.1016/j.jaerosci.2008.06.005, 2008.
Petters, M. D.: Revisiting matrix-based inversion of scanning mobility particle sizer (SMPS) and humidified tandem differential mobility analyzer (HTDMA) data, Atmos. Meas. Tech., 14, 7909–7928, https://doi.org/0.5194/amt-14-7909-2021, 2021.
Pilinis, C., Pandis, S. N., and Seinfeld, J. H.: Sensitivity of direct
climate forcing by atmospheric aerosols to aerosol size and composition,
J. Geophys. Res., 100, 18739–18754, https://doi.org/10.1029/95JD02119, 1995.
Pinterich, T., Spielman, S. R., Hering, S., and Wang, J.: A water-based fast
integrated mobility spectrometer (WFIMS) with enhanced dynamic size range,
Aerosol Sci. Tech., 51, 1212–1222, https://doi.org/10.1080/02786826.2017.1338664, 2017a.
Pinterich, T., Spielman, S. R., Wang, Y., Hering, S. V., and Wang, J.: A humidity-controlled fast integrated mobility spectrometer (HFIMS) for rapid measurements of particle hygroscopic growth, Atmos. Meas. Tech., 10, 4915–4925,https://doi.org/10.5194/amt-10-4915-2017, 2017b.
Rader, D. J. and McMurry, P. H.: Application of the tandem differential
mobility analyzer to studies of droplet growth or evaporation, J. Aerosol Sci., 17, 771–787, https://doi.org/10.1016/0021-8502(86)90031-5, 1986.
Rawat, V. K., Buckley, D. T., Kimoto, S., Lee, M.-H., Fukushima, N., and
Hogan, C. J.: Two dimensional size–mass distribution function inversion
from differential mobility analyzer–aerosol particle mass analyzer
(DMA–APM) measurements, J. Aerosol Sci., 92, 70–82, https://doi.org/10.1016/j.jaerosci.2015.11.001, 2016.
Sipkens, T. A., Olfert, J. S., and Rogak, S. N.: Inversion methods to
determine two-dimensional aerosol mass-mobility distributions: A critical
comparison of established methods, J. Aerosol Sci., 140, 105484,
https://doi.org/10.1016/j.jaerosci.2019.105484, 2020.
Stolzenburg, D., Ozon, M., Kulmala, M., Lehtinen, K. E. J., Lehtipalo, K.,
and Kangasluoma, J.: Combining instrument inversions for sub-10 nm aerosol
number size-distribution measurements, J. Aerosol Sci., 159, 105862, https://doi.org/10.1016/j.jaerosci.2021.105862, 2022.
Stolzenburg, M. R. and McMurry, P.: TDMAFIT user's manual, University of
Minnesota, Department of Mechanical Engineering, Particle Technology
Laboratory, Minneapolis, 1–61, 1988.
Stolzenburg, M. R. and McMurry, P. H.: Equations Governing Single and
Tandem DMA Configurations and a New Lognormal Approximation to the Transfer
Function, Aerosol Sci. Tech., 42, 421–432, https://doi.org/10.1080/02786820802157823, 2008.
Swietlicki, E., Hansson, H.-C., Hämeri, K., Svenningsson, B., Massling,
A., McFiggans, G., McMurry, P. H., Petäjä, T., Tunved, P., and
Gysel, M.: Hygroscopic properties of submicrometer atmospheric aerosol
particles measured with H-TDMA instruments in various environments–a
review, Tellus B, 60, 432–469, https://doi.org/10.1111/j.1600-0889.2008.00350.x, 2008.
Talukdar, S. S. and Swihart, M. T.: An Improved Data Inversion Program for
Obtaining Aerosol Size Distributions from Scanning Differential Mobility
Analyzer Data, Aerosol Sci. Tech., 37, 145–161, https://doi.org/10.1080/02786820300952, 2003.
Tang, I. and Munkelwitz, H.: Aerosol phase transformation and growth in the
atmosphere, J. Appl. Meteorol. Clim., 33, 791–796, https://doi.org/10.1175/1520-0450(1994)033<0791:APTAGI>2.0.CO;2, 1994.
Twomey, S.: Comparison of constrained linear inversion and an iterative
nonlinear algorithm applied to the indirect estimation of particle size
distributions, J. Comput. Phys., 18, 188–200, https://doi.org/10.1016/0021-9991(75)90028-5, 1975.
Wang, Y., Pinterich, T., and Wang, J.: Rapid measurement of sub-micrometer
aerosol size distribution using a fast integrated mobility spectrometer,
J. Aerosol Sci., 121, 12–20, https://doi.org/10.1016/j.jaerosci.2018.03.006, 2018.
Wang, Y., Zheng, G., Spielman, S. R., Pinterich, T., Hering, S. V., and
Wang, J.: Retrieval of high time resolution growth factor probability
density function from a humidity-controlled fast integrated mobility
spectrometer, Aerosol Sci. Tech., 53, 1092–1106, https://doi.org/10.1080/02786826.2019.1628917, 2019.
Zhang, J.: Code and data for “Regularized inversion of aerosol hygroscopic GF-PDF: application to HFIMS measurements”, Zenodo [data set], https://doi.org/10.5281/zenodo.6481982, 2022.
Zhang, J., Spielman, S., Wang, Y., Zheng, G., Gong, X., Hering, S., and Wang, J.: Rapid measurement of RH-dependent aerosol hygroscopic growth using a humidity-controlled fast integrated mobility spectrometer (HFIMS), Atmos. Meas. Tech., 14, 5625–5635, https://doi.org/10.5194/amt-14-5625-2021, 2021.
Zheng, G., Kuang, C., Uin, J., Watson, T., and Wang, J.: Large contribution of organics to condensational growth and formation of cloud condensation nuclei (CCN) in the remote marine boundary layer, Atmos. Chem. Phys., 20, 12515–12525, https://doi.org/10.5194/acp-20-12515-2020, 2020.
Short summary
New nonparametric, regularized methods are developed to invert the growth factor probability density function (GF-PDF) from humidity-controlled fast integrated mobility spectrometer measurements. These algorithms are computationally efficient, require no prior assumptions of the GF-PDF distribution, and reduce the error in inverted GF-PDF. They can be applied to humidified tandem differential mobility analyzer data. Among all algorithms, Twomey’s method retrieves GF-PDF with the smallest error.
New nonparametric, regularized methods are developed to invert the growth factor probability...
