Articles | Volume 15, issue 18
https://doi.org/10.5194/amt-15-5235-2022
© 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-15-5235-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
16 Sep 2022
Research article |
| 16 Sep 2022
| 16 Sep 2022
Identification of smoke and sulfuric acid aerosol in SAGE III/ISS extinction spectra
NASA Langley Research Center, Hampton, Virginia 23681, USA
Larry Thomason
NASA Langley Research Center, Hampton, Virginia 23681, USA
Mahesh Kovilakam
Science Systems and Applications, Inc. Hampton, Virginia 23666, USA
NASA Langley Research Center, Hampton, Virginia 23681, USA
Jason Tackett
NASA Langley Research Center, Hampton, Virginia 23681, USA
Jayanta Kar
Science Systems and Applications, Inc. Hampton, Virginia 23666, USA
NASA Langley Research Center, Hampton, Virginia 23681, USA
Robert Damadeo
NASA Langley Research Center, Hampton, Virginia 23681, USA
David Flittner
NASA Langley Research Center, Hampton, Virginia 23681, USA
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Earth Syst. Sci. Data, 16, 2625–2658, https://doi.org/10.5194/essd-16-2625-2024, https://doi.org/10.5194/essd-16-2625-2024, 2024
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Travis N. Knepp, Mahesh Kovilakam, Larry Thomason, and Stephen J. Miller
Atmos. Meas. Tech., 17, 2025–2054, https://doi.org/10.5194/amt-17-2025-2024, https://doi.org/10.5194/amt-17-2025-2024, 2024
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Atmos. Meas. Tech., 16, 4589–4642, https://doi.org/10.5194/amt-16-4589-2023, https://doi.org/10.5194/amt-16-4589-2023, 2023
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Larry W. Thomason and Travis Knepp
Atmos. Chem. Phys., 23, 10361–10381, https://doi.org/10.5194/acp-23-10361-2023, https://doi.org/10.5194/acp-23-10361-2023, 2023
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We examine space-based observations of stratospheric aerosol to infer the presence of episodic smoke perturbations. We find that smoke's optical properties often show a consistent behavior but vary somewhat from event to event. We also find that the rate of smoke events observed in the 1984–2005 period is about half the rate of similar observations in the period from 2017 to the present; however, with such low overall rates, inferring change between the periods is difficult.
Felix Wrana, Ulrike Niemeier, Larry W. Thomason, Sandra Wallis, and Christian von Savigny
Atmos. Chem. Phys., 23, 9725–9743, https://doi.org/10.5194/acp-23-9725-2023, https://doi.org/10.5194/acp-23-9725-2023, 2023
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Mahesh Kovilakam, Larry Thomason, and Travis Knepp
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Viktoria F. Sofieva, Monika Szelag, Johanna Tamminen, Carlo Arosio, Alexei Rozanov, Mark Weber, Doug Degenstein, Adam Bourassa, Daniel Zawada, Michael Kiefer, Alexandra Laeng, Kaley A. Walker, Patrick Sheese, Daan Hubert, Michel van Roozendael, Christian Retscher, Robert Damadeo, and Jerry D. Lumpe
Atmos. Meas. Tech., 16, 1881–1899, https://doi.org/10.5194/amt-16-1881-2023, https://doi.org/10.5194/amt-16-1881-2023, 2023
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The paper presents the updated SAGE-CCI-OMPS+ climate data record of monthly zonal mean ozone profiles. This dataset covers the stratosphere and combines measurements by nine limb and occultation satellite instruments (SAGE II, OSIRIS, MIPAS, SCIAMACHY, GOMOS, ACE-FTS, OMPS-LP, POAM III, and SAGE III/ISS). The update includes new versions of MIPAS, ACE-FTS, and OSIRIS datasets and introduces data from additional sensors (POAM III and SAGE III/ISS) and retrieval processors (OMPS-LP).
Jason L. Tackett, Jayanta Kar, Mark A. Vaughan, Brian J. Getzewich, Man-Hae Kim, Jean-Paul Vernier, Ali H. Omar, Brian E. Magill, Michael C. Pitts, and David M. Winker
Atmos. Meas. Tech., 16, 745–768, https://doi.org/10.5194/amt-16-745-2023, https://doi.org/10.5194/amt-16-745-2023, 2023
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The accurate identification of aerosol types in the stratosphere is important to characterize their impacts on the Earth climate system. The space-borne lidar on board CALIPSO is well-posed to identify aerosols in the stratosphere from volcanic eruptions and major wildfire events. This paper describes improvements implemented in the version 4.5 CALIPSO data release to more accurately discriminate between volcanic ash, sulfate, and smoke within the stratosphere.
Murali Natarajan, Robert Damadeo, and David Flittner
Atmos. Meas. Tech., 16, 75–87, https://doi.org/10.5194/amt-16-75-2023, https://doi.org/10.5194/amt-16-75-2023, 2023
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Photochemically induced changes in mesospheric O3 concentration at twilight can cause asymmetry in the distribution along the line of sight of solar occultation observations that must be considered in the retrieval algorithm. Correction factors developed from diurnal photochemical model simulations were used to modify the archived SAGE III/ISS mesospheric O3 concentrations. For June 2021 the bias caused by the neglect of diurnal variations is over 30% at 64 km altitude and low latitudes.
Sarah A. Strode, Ghassan Taha, Luke D. Oman, Robert Damadeo, David Flittner, Mark Schoeberl, Christopher E. Sioris, and Ryan Stauffer
Atmos. Meas. Tech., 15, 6145–6161, https://doi.org/10.5194/amt-15-6145-2022, https://doi.org/10.5194/amt-15-6145-2022, 2022
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We use a global atmospheric chemistry model simulation to generate scaling factors that account for the daily cycle of NO2 and ozone. These factors facilitate comparisons between sunrise and sunset observations from SAGE III/ISS and observations from other instruments. We provide the scaling factors as monthly zonal means for different latitudes and altitudes. We find that applying these factors yields more consistent comparisons between observations from SAGE III/ISS and other instruments.
Kimberlee Dubé, Daniel Zawada, Adam Bourassa, Doug Degenstein, William Randel, David Flittner, Patrick Sheese, and Kaley Walker
Atmos. Meas. Tech., 15, 6163–6180, https://doi.org/10.5194/amt-15-6163-2022, https://doi.org/10.5194/amt-15-6163-2022, 2022
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Satellite observations are important for monitoring changes in atmospheric composition. Here we describe an improved version of the NO2 retrieval for the Optical Spectrograph and InfraRed Imager System. The resulting NO2 profiles are compared to those from the Atmospheric Chemistry Experiment – Fourier Transform Spectrometer and the Stratospheric Aerosol and Gas Experiment III on the International Space Station. All datasets agree within 20 % throughout the stratosphere.
Sophie Godin-Beekmann, Niramson Azouz, Viktoria F. Sofieva, Daan Hubert, Irina Petropavlovskikh, Peter Effertz, Gérard Ancellet, Doug A. Degenstein, Daniel Zawada, Lucien Froidevaux, Stacey Frith, Jeannette Wild, Sean Davis, Wolfgang Steinbrecht, Thierry Leblanc, Richard Querel, Kleareti Tourpali, Robert Damadeo, Eliane Maillard Barras, René Stübi, Corinne Vigouroux, Carlo Arosio, Gerald Nedoluha, Ian Boyd, Roeland Van Malderen, Emmanuel Mahieu, Dan Smale, and Ralf Sussmann
Atmos. Chem. Phys., 22, 11657–11673, https://doi.org/10.5194/acp-22-11657-2022, https://doi.org/10.5194/acp-22-11657-2022, 2022
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An updated evaluation up to 2020 of stratospheric ozone profile long-term trends at extrapolar latitudes based on satellite and ground-based records is presented. Ozone increase in the upper stratosphere is confirmed, with significant trends at most latitudes. In this altitude region, a very good agreement is found with trends derived from chemistry–climate model simulations. Observed and modelled trends diverge in the lower stratosphere, but the differences are non-significant.
Zhujun Li, David Painemal, Gregory Schuster, Marian Clayton, Richard Ferrare, Mark Vaughan, Damien Josset, Jayanta Kar, and Charles Trepte
Atmos. Meas. Tech., 15, 2745–2766, https://doi.org/10.5194/amt-15-2745-2022, https://doi.org/10.5194/amt-15-2745-2022, 2022
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For more than 15 years, CALIPSO has revolutionized our understanding of the role of aerosols in climate. Here we evaluate CALIPSO aerosol typing over the ocean using an independent CALIPSO–CloudSat product. The analysis suggests that CALIPSO correctly categorizes clean marine aerosol over the open ocean, elevated smoke over the SE Atlantic, and dust over the tropical Atlantic. Similarities between clean and dusty marine over the open ocean implies that algorithm modifications are warranted.
Luca Bugliaro, Dennis Piontek, Stephan Kox, Marius Schmidl, Bernhard Mayer, Richard Müller, Margarita Vázquez-Navarro, Daniel M. Peters, Roy G. Grainger, Josef Gasteiger, and Jayanta Kar
Nat. Hazards Earth Syst. Sci., 22, 1029–1054, https://doi.org/10.5194/nhess-22-1029-2022, https://doi.org/10.5194/nhess-22-1029-2022, 2022
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The monitoring of ash dispersion in the atmosphere is an important task for satellite remote sensing since ash represents a threat to air traffic. We present an AI-based method that retrieves the spatial extension and properties of volcanic ash clouds with high temporal resolution during day and night by means of geostationary satellite measurements. This algorithm, trained on realistic observations simulated with a radiative transfer model, runs operationally at the German Weather Service.
Jianfeng Li, Yuhang Wang, Ruixiong Zhang, Charles Smeltzer, Andrew Weinheimer, Jay Herman, K. Folkert Boersma, Edward A. Celarier, Russell W. Long, James J. Szykman, Ruben Delgado, Anne M. Thompson, Travis N. Knepp, Lok N. Lamsal, Scott J. Janz, Matthew G. Kowalewski, Xiong Liu, and Caroline R. Nowlan
Atmos. Chem. Phys., 21, 11133–11160, https://doi.org/10.5194/acp-21-11133-2021, https://doi.org/10.5194/acp-21-11133-2021, 2021
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Comprehensive evaluations of simulated diurnal cycles of NO2 and NOy concentrations, vertical profiles, and tropospheric vertical column densities at two different resolutions with various measurements during the DISCOVER-AQ 2011 campaign show potential distribution biases of NOx emissions in the National Emissions Inventory 2011 at both 36 and 4 km resolutions, providing another possible explanation for the overestimation of model results.
Michaela I. Hegglin, Susann Tegtmeier, John Anderson, Adam E. Bourassa, Samuel Brohede, Doug Degenstein, Lucien Froidevaux, Bernd Funke, John Gille, Yasuko Kasai, Erkki T. Kyrölä, Jerry Lumpe, Donal Murtagh, Jessica L. Neu, Kristell Pérot, Ellis E. Remsberg, Alexei Rozanov, Matthew Toohey, Joachim Urban, Thomas von Clarmann, Kaley A. Walker, Hsiang-Jui Wang, Carlo Arosio, Robert Damadeo, Ryan A. Fuller, Gretchen Lingenfelser, Christopher McLinden, Diane Pendlebury, Chris Roth, Niall J. Ryan, Christopher Sioris, Lesley Smith, and Katja Weigel
Earth Syst. Sci. Data, 13, 1855–1903, https://doi.org/10.5194/essd-13-1855-2021, https://doi.org/10.5194/essd-13-1855-2021, 2021
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An overview of the SPARC Data Initiative is presented, to date the most comprehensive assessment of stratospheric composition measurements spanning 1979–2018. Measurements of 26 chemical constituents obtained from an international suite of space-based limb sounders were compiled into vertically resolved, zonal monthly mean time series. The quality and consistency of these gridded datasets are then evaluated using a climatological validation approach and a range of diagnostics.
Felix Wrana, Christian von Savigny, Jacob Zalach, and Larry W. Thomason
Atmos. Meas. Tech., 14, 2345–2357, https://doi.org/10.5194/amt-14-2345-2021, https://doi.org/10.5194/amt-14-2345-2021, 2021
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In this paper, we describe a new method for calculating the size of naturally occurring droplets (aerosols) made mostly of sulfuric acid and water that can be found roughly at 20 km altitude in the atmosphere. We use data from the instrument SAGE III/ISS that is mounted on the International Space Station. We show that our method works well, and that the size parameters we calculate are reasonable and can be a valuable addition for a better understanding of aerosols and their effect on climate.
Ghassan Taha, Robert Loughman, Tong Zhu, Larry Thomason, Jayanta Kar, Landon Rieger, and Adam Bourassa
Atmos. Meas. Tech., 14, 1015–1036, https://doi.org/10.5194/amt-14-1015-2021, https://doi.org/10.5194/amt-14-1015-2021, 2021
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This work describes the newly released OMPS LP aerosol extinction profile multi-wavelength Version 2.0 algorithm and dataset. It is shown that the V2.0 aerosols exhibit significant improvements in OMPS LP retrieval performance in the Southern Hemisphere and at lower altitudes. The new product is compared to the SAGE III/ISS, OSIRIS and CALIPSO missions and shown to be of good quality and suitable for scientific studies.
Larry W. Thomason, Mahesh Kovilakam, Anja Schmidt, Christian von Savigny, Travis Knepp, and Landon Rieger
Atmos. Chem. Phys., 21, 1143–1158, https://doi.org/10.5194/acp-21-1143-2021, https://doi.org/10.5194/acp-21-1143-2021, 2021
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Measurements of the impact of volcanic eruptions on stratospheric aerosol loading by space-based instruments show show a fairly well-behaved relationship between the magnitude and the apparent changes to aerosol size over several orders of magnitude. This directly measured relationship provides a unique opportunity to verify the performance of interactive aerosol models used in climate models.
Kimberlee Dubé, Adam Bourassa, Daniel Zawada, Douglas Degenstein, Robert Damadeo, David Flittner, and William Randel
Atmos. Meas. Tech., 14, 557–566, https://doi.org/10.5194/amt-14-557-2021, https://doi.org/10.5194/amt-14-557-2021, 2021
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SAGE III/ISS measures profiles of NO2; however the algorithm to convert raw measurements to NO2 concentration neglects variations caused by changes in chemistry over the course of a day. We devised a procedure to account for these diurnal variations and assess their impact on NO2 measurements from SAGE III/ISS. We find that the new NO2 concentration is more than 10 % lower than NO2 from the standard algorithm below 30 km, showing that this effect is important to consider at lower altitudes.
Juan-Carlos Antuña-Marrero, Graham W. Mann, Philippe Keckhut, Sergey Avdyushin, Bruno Nardi, and Larry W. Thomason
Earth Syst. Sci. Data, 12, 2843–2851, https://doi.org/10.5194/essd-12-2843-2020, https://doi.org/10.5194/essd-12-2843-2020, 2020
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We report the recovery of lidar measurements of the 1991 Pinatubo eruption. Two Soviet ships crossing the tropical Atlantic in July–September 1991 and January–February 1992 measured the vertical profile of the Pinatubo cloud at different points in its spatio-temporal evolution. The datasets provide valuable new information on the eruption's impacts on climate, with the SAGE-II satellite measurements not able to measure most of the lower half of the Pinatubo cloud in the tropics in this period.
Mahesh Kovilakam, Larry W. Thomason, Nicholas Ernest, Landon Rieger, Adam Bourassa, and Luis Millán
Earth Syst. Sci. Data, 12, 2607–2634, https://doi.org/10.5194/essd-12-2607-2020, https://doi.org/10.5194/essd-12-2607-2020, 2020
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A robust stratospheric aerosol climatology is important as many global climate models (GCMs) make use of observed aerosol properties to prescribe aerosols in the stratosphere. Here, we present version 2.0 of the GloSSAC data set in which a new methodology is used for the post-2005 data that improves the quality of data in the lower stratosphere, which includes an improved 1020 nm extinction. Additionally, size information from multiwavelength measurements of SAGE III/ISS is provided.
Cited articles
ACE-FTS: ACE-FTS: Level 2 Data, Version 4.1/4.2, ACE/SCISAT [data set],
https://databace.scisat.ca/, last access: 22 March 2022. a
Alexander, D. T., Crozier, P. A., and Anderson, J. R.: Brown carbon spheres in
East Asian outflow and their optical properties, Science, 321,
833–836, https://doi.org/10.1126/science.1155296, 2008. a, b
Ansmann, A., Ohneiser, K., Chudnovsky, A., Baars, H., and Engelmann, R.:
CALIPSO Aerosol-Typing Scheme Misclassified Stratospheric Fire Smoke: Case
Study From the 2019 Siberian Wildfire Season, Front. Environ.
Sci., 9, 769852, https://doi.org/10.3389/fenvs.2021.769852, 2021. a, b, c, d
Bachmeier, S.: PyroCb in Russia,
http://pyrocb.ssec.wisc.edu/archives/2321 (last access: 23 February 2021), 2019. a
Bergstrom, R. W., Russell, P. B., and Hignett, P.: Wavelength Dependence of the
Absorption of Black Carbon Particles: Predictions and Results from the TARFOX
Experiment and Implications for the Aerosol Single Scattering Albedo, J. Atmos. Sci., 59, 567–577,
https://doi.org/10.1175/1520-0469(2002)059<0567:WDOTAO>2.0.CO;2, 2002. a, b, c
Bernath, P. F., McElroy, C. T., Abrams, M. C., Boone, C. D., Butler, M.,
Camy-Peyret, C., Carleer, M., Clerbaux, C., Coheur, P.-F., Colin, R., DeCola,
P., DeMazière, M., Drummond, J. R., Dufour, D., Evans, W. F. J., Fast, H.,
Fussen, D., Gilbert, K., Jennings, D. E., Llewellyn, E. J., Lowe, R. P.,
Mahieu, E., McConnell, J. C., McHugh, M., McLeod, S. D., Michaud, R.,
Midwinter, C., Nassar, R., Nichitiu, F., Nowlan, C., Rinsland, C. P., Rochon,
Y. J., Rowlands, N., Semeniuk, K., Simon, P., Skelton, R., Sloan, J. J.,
Soucy, M.-A., Strong, K., Tremblay, P., Turnbull, D., Walker, K. A., Walkty,
I., Wardle, D. A., Wehrle, V., Zander, R., and Zou, J.: Atmospheric
Chemistry Experiment (ACE): Mission overview, Geophys. Res.
Lett., 32, L15S01, https://doi.org/10.1029/2005GL022386, 2005. a, b
Bingen, C., Fussen, D., and Vanhellemont, F.: A review of stratospheric
aerosol characterization, Adv. Space Res., 38, 2433–2445,
https://doi.org/10.1016/j.asr.2006.02.061, 2006. a
Bluth, G. J. S., Doiron, S. D., Schnetzler, C. C., Krueger, A. J., and Walter,
L. S.: Global tracking of the SO2 clouds from the June, 1991 Mount Pinatubo
eruptions, Geophys. Res. Lett., 19, 151–154,
https://doi.org/10.1029/91GL02792, 1992. a
Boone, C. D., Nassar, R., Walker, K. A., Rochon, Y., McLeod, S. D., Rinsland,
C. P., and Bernath, P. F.: Retrievals for the atmospheric chemistry
experiment Fourier-transform spectrometer, Appl. Opt., 44,
7218–7231, https://doi.org/10.1364/AO.44.007218, 2005. a
Chagnon, C. and Junge, C.: The Vertical Distribution of Sub-Micron Particles
in the Stratosphere, J. Meteorol., 18, 746–752,
https://doi.org/10.1175/1520-0469(1961)018<0746:TVDOSM>2.0.CO;2, 1961. a
Chakrabarty, R. K., Moosmüller, H., Chen, L.-W. A., Lewis, K., Arnott, W. P., Mazzoleni, C., Dubey, M. K., Wold, C. E., Hao, W. M., and Kreidenweis, S. M.: Brown carbon in tar balls from smoldering biomass combustion, Atmos. Chem. Phys., 10, 6363–6370, https://doi.org/10.5194/acp-10-6363-2010, 2010. a
Chouza, F., Leblanc, T., Barnes, J., Brewer, M., Wang, P., and Koon, D.: Long-term (1999–2019) variability of stratospheric aerosol over Mauna Loa, Hawaii, as seen by two co-located lidars and satellite measurements, Atmos. Chem. Phys., 20, 6821–6839, https://doi.org/10.5194/acp-20-6821-2020, 2020. a, b, c
Christian, K., Yorks, J., and Das, S.: Differences in the Evolution of
Pyrocumulonimbus and Volcanic Stratospheric Plumes as Observed by CATS and
CALIOP Space-Based Lidars, Atmosphere, 11, 1035, https://doi.org/10.3390/atmos11101035, 2020. a
Cisewski, M., Zawodny, J., Gasbarre, J., Eckman, R., Topiwala, N.,
Rodriguez-Alvarez, O., Cheek, D., and Hall, S.: The Stratospheric Aerosol
and Gas Experiment (SAGE III) on the International Space Station (ISS)
Mission, in: Sensors, Systems, and Next-Generation Satellites XVIII,
edited by: Meynart, R., Neeck, S. P., and Shimoda, H., vol. 9241 of Proc.SPIE, p. 924107, SPIE, https://doi.org/10.1117/12.2073131,
Conference on Sensors, Systems, and Next-Generation Satellites XVIII,
Amsterdam, Netherlands, 22–25 September, 2014. a
D’Angelo, G., Guimond, S., Reisner, J., Peterson, D. A., and Dubey, M.:
Contrasting Stratospheric Smoke Mass and Lifetime From 2017 Canadian and
2019/2020 Australian Megafires: Global Simulations and Satellite
Observations, J.
Geophys. Res.-Atmos., 127,
e2021JD036249, https://doi.org/10.1029/2021JD036249, 2022. a, b, c
de Leeuw, J., Schmidt, A., Witham, C. S., Theys, N., Taylor, I. A., Grainger, R. G., Pope, R. J., Haywood, J., Osborne, M., and Kristiansen, N. I.: The 2019 Raikoke volcanic eruption – Part 1: Dispersion model simulations and satellite retrievals of volcanic sulfur dioxide, Atmos. Chem. Phys., 21, 10851–10879, https://doi.org/10.5194/acp-21-10851-2021, 2021. a, b, c
Deshler, T., Hervig, M., Hofmann, D., Rosen, J., and Liley, J.: Thirty years
of in situ stratospheric aerosol size distribution measurements from Laramie,
Wyoming (41∘ N), using balloon-borne instruments, J.
Geophys. Res.-Atmos., 108, 4167,
https://doi.org/10.1029/2002JD002514, 2003. a, b, c, d
Forrister, H., Liu, J., Scheuer, E., Dibb, J., Ziemba, L., Thornhill, K. L.,
Anderson, B., Diskin, G., Perring, A. E., Schwarz, J. P., Campuzano-Jost, P., Day, D. A., Palm, B. B., Jimenez, J. L., Nenes, A., and Weber, R. J.: Evolution
of brown carbon in wildfire plumes, Geophys. Res. Lett., 42,
4623–4630, https://doi.org/10.1002/2015GL063897, 2015. a
Fromm, M., Tupper, A., Rosenfeld, D., Servranckx, R., and McRae, R.: Violent
pyro-convective storm devastates Australia's capital and pollutes the
stratosphere, Geophys. Res. Lett., 33, L05815,
https://doi.org/10.1029/2005GL025161, 2006. a
Fromm, M., Lindsey, D. T., Servranckx, R., Yue, G., Trickl, T., Sica, R.,
Doucet, P., and Godin-Beekmann, S.: The Untold Story of Pyrocumulonimbus,
B. Am. Meteorol. Soc. 91, 1193–1210,
https://doi.org/10.1175/2010BAMS3004.1, 2010. a, b
Fussen, D., Vanhellemont, F., and Bingen, C.: Evolution of stratospheric
aerosols in the post-Pinatubo period measured by solar occultation,
Atmos. Environ., 35, 5067–5078,
https://doi.org/10.1016/S1352-2310(01)00325-9, 2001. a
Getzewich, B. J., Vaughan, M. A., Hunt, W. H., Avery, M. A., Powell, K. A., Tackett, J. L., Winker, D. M., Kar, J., Lee, K.-P., and Toth, T. D.: CALIPSO lidar calibration at 532 nm: version 4 daytime algorithm, Atmos. Meas. Tech., 11, 6309–6326, https://doi.org/10.5194/amt-11-6309-2018, 2018. a
Guo, S., Rose, W. I., Bluth, G. J. S., and Watson, I. M.: Particles in the
great Pinatubo volcanic cloud of June 1991: The role of ice, Geochem.
Geophys. Geosyst., 5, 1–35, https://doi.org/10.1029/2003GC000655, 2004. a
Heintzenberg, J., Müller, H., Quenzel, H., and Thomalla, E.: Information
content of optical data with respect to aerosol properties: numerical studies
with a randomized minimization-search-technique inversion algorithm,
Appl. Opt., 20, 1308–1315, https://doi.org/10.1364/AO.20.001308, 1981. a
Johnson, M. S., Strawbridge, K., Knowland, K. E., Keller, C., and Travis, M.:
Long-range transport of Siberian biomass burning emissions to North America
during FIREX-AQ, Atmos. Environ., 252, 118241,
https://doi.org/10.1016/j.atmosenv.2021.118241, 2021. a, b
Johnston, F. H., Borchers-Arriagada, N., Morgan, G. G., Jalaludin, B., Palmer,
A. J., Williamson, G. J., and Bowman, D. M. J. S.: Unprecedented health
costs of smoke-related PM2.5 from the 2019-20 Australian megafires, Nat.
Sustain., 4, 42–47, https://doi.org/10.1038/s41893-020-00610-5, 2020. a
Kablick III, G. P., Allen, D. R., Fromm, M. D., and Nedoluha, G. E.:
Australian PyroCb Smoke Generates Synoptic-Scale Stratospheric
Anticyclones, Geophys. Res. Lett., 47, e2020GL088101,
https://doi.org/10.1029/2020GL088101, 2020. a, b, c, d
Kar, J., Vaughan, M. A., Lee, K.-P., Tackett, J. L., Avery, M. A., Garnier, A., Getzewich, B. J., Hunt, W. H., Josset, D., Liu, Z., Lucker, P. L., Magill, B., Omar, A. H., Pelon, J., Rogers, R. R., Toth, T. D., Trepte, C. R., Vernier, J.-P., Winker, D. M., and Young, S. A.: CALIPSO lidar calibration at 532 nm: version 4 nighttime algorithm, Atmos. Meas. Tech., 11, 1459–1479, https://doi.org/10.5194/amt-11-1459-2018, 2018. a
Kar, J., Lee, K.-P., Vaughan, M. A., Tackett, J. L., Trepte, C. R., Winker, D. M., Lucker, P. L., and Getzewich, B. J.: CALIPSO level 3 stratospheric aerosol profile product: version 1.00 algorithm description and initial assessment, Atmos. Meas. Tech., 12, 6173–6191, https://doi.org/10.5194/amt-12-6173-2019, 2019. a
Kim, M.-H., Omar, A. H., Tackett, J. L., Vaughan, M. A., Winker, D. M., Trepte, C. R., Hu, Y., Liu, Z., Poole, L. R., Pitts, M. C., Kar, J., and Magill, B. E.: The CALIPSO version 4 automated aerosol classification and lidar ratio selection algorithm, Atmos. Meas. Tech., 11, 6107–6135, https://doi.org/10.5194/amt-11-6107-2018, 2018. a, b
Kirchstetter, T. W., Novakov, T., and Hobbs, P. V.: Evidence that the spectral
dependence of light absorption by aerosols is affected by organic carbon,
J. Geophys. Res.-Atmos., 109, D21208,
https://doi.org/10.1029/2004JD004999, 2004. a, b
Kloss, C., Sellitto, P., Legras, B., Vernier, J.-P., Jégou, F.,
Venkat Ratnam, M., Suneel Kumar, B., Lakshmi Madhavan, B., and Berthet, G.:
Impact of the 2018 Ambae Eruption on the Global Stratospheric Aerosol Layer
and Climate, J. Geophys. Res.-Atmos, 125,
e2020JD032410, https://doi.org/10.1029/2020JD032410, 2020. a, b, c, d
Kloss, C., Berthet, G., Sellitto, P., Ploeger, F., Taha, G., Tidiga, M., Eremenko, M., Bossolasco, A., Jégou, F., Renard, J.-B., and Legras, B.: Stratospheric aerosol layer perturbation caused by the 2019 Raikoke and Ulawun eruptions and their radiative forcing, Atmos. Chem. Phys., 21, 535–560, https://doi.org/10.5194/acp-21-535-2021, 2021. a, b, c, d, e, f, g, h, i, j, k, l, m
Knepp, T. N., Thomason, L., Roell, M., Damadeo, R., Leavor, K., Leblanc, T., Chouza, F., Khaykin, S., Godin-Beekmann, S., and Flittner, D.: Evaluation of a method for converting Stratospheric Aerosol and Gas Experiment (SAGE) extinction coefficients to backscatter coefficients for intercomparison with lidar observations, Atmos. Meas. Tech., 13, 4261–4276, https://doi.org/10.5194/amt-13-4261-2020, 2020. a, b
Kremser, S., Thomason, L. W., von Hobe, M., Hermann, M., Deshler, T., Timmreck,
C., Toohey, M., Stenke, A., Schwarz, J. P., Weigel, R., Fueglistaler, S.,
Prata, F. J., Vernier, J.-P., Schlager, H., Barnes, J. E., Antuna-Marrero,
J.-C., Fairlie, D., Palm, M., Mahieu, E., Notholt, J., Rex, M., Bingen, C.,
Vanhellemont, F., Bourassa, A., Plane, J. M. C., Klocke, D., Carn, S. A.,
Clarisse, L., Trickl, T., Neely, R., James, A. D., Rieger, L., Wilson, J. C.,
and Meland, B.: Stratospheric aerosol-Observations, processes, and impact on
climate, Rev. Geophys., 54, 278–335,
https://doi.org/10.1002/2015RG000511, 2016. a, b
Leys, C., Ley, C., Klein, O., Bernard, P., and Licata, L.: Detecting outliers:
Do not use standard deviation around the mean, use absolute deviation around
the median, J. Experim. Soc. Psychol., 49, 764–766,
https://doi.org/10.1016/j.jesp.2013.03.013, 2013. a
Liu, P. F., Abdelmalki, N., Hung, H.-M., Wang, Y., Brune, W. H., and Martin, S. T.: Ultraviolet and visible complex refractive indices of secondary organic material produced by photooxidation of the aromatic compounds toluene and m-xylene, Atmos. Chem. Phys., 15, 1435–1446, https://doi.org/10.5194/acp-15-1435-2015, 2015. a, b, c
Magaritz-Ronen, L. and Raveh-Rubin, S.: Wildfire Smoke Highlights
Troposphere-to-Stratosphere Pathway, Geophys. Res. Lett., 48,
e2021GL095848, https://doi.org/10.1029/2021GL095848, 2021. a, b
Malinina, E., Rozanov, A., Niemeier, U., Wallis, S., Arosio, C., Wrana, F., Timmreck, C., von Savigny, C., and Burrows, J. P.: Changes in stratospheric aerosol extinction coefficient after the 2018 Ambae eruption as seen by OMPS-LP and MAECHAM5-HAM, Atmos. Chem. Phys., 21, 14871–14891, https://doi.org/10.5194/acp-21-14871-2021, 2021. a
McCormick, M., Thomason, L., and Trepte, C.: Atmospheric Effects of the
Mt-Pinatubo Eruption, Nature, 373, 399–404, https://doi.org/10.1038/373399a0,
1995. a, b
Minnis, P., Harrison, E. F., Stowe, L. L., Gibson, G., Denn, F. M., Doelling,
D., and Smith, W.: Radiative climate forcing by the Mount Pinatubo eruption,
Science, 259, 1411–1415, https://doi.org/10.1126/science.259.5100.1411, 1993. a
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. a, b
Müller, D., Mattis, I., Wandinger, U., Ansmann, A., Althausen, D., and
Stohl, A.: Raman lidar observations of aged Siberian and Canadian forest
fire smoke in the free troposphere over Germany in 2003: Microphysical
particle characterization, J. Geophys. Res.-Atmos.,
110, D17201, https://doi.org/10.1029/2004JD005756, 2005. a, b
Murphy, D., Thomson, D., and Mahoney, T.: In situ measurements of organics,
meteoritic material, mercury, and other elements in aerosols at 5 to 19
kilometers, Science, 282, 1664–1669,
https://doi.org/10.1126/science.282.5394.1664, 1998. a
Muser, L. O., Hoshyaripour, G. A., Bruckert, J., Horváth, Á., Malinina, E., Wallis, S., Prata, F. J., Rozanov, A., von Savigny, C., Vogel, H., and Vogel, B.: Particle aging and aerosol–radiation interaction affect volcanic plume dispersion: evidence from the Raikoke 2019 eruption, Atmos. Chem. Phys., 20, 15015–15036, https://doi.org/10.5194/acp-20-15015-2020, 2020. a, b, c, d
NASA Langley ASDC User Services: Atmospheric Science Data Cente, NASA [data set], https://eosweb.larc.nasa.gov/, last access: 6 June 2022. a
Newhall, C. G. and Self, S.: The volcanic explosivity index (VEI) an estimate
of explosive magnitude for historical volcanism, J. Geophys.
Res.-Oceans, 87, 1231–1238, https://doi.org/10.1029/JC087iC02p01231,
1982. a, b
Ohneiser, K., Ansmann, A., Chudnovsky, A., Engelmann, R., Ritter, C., Veselovskii, I., Baars, H., Gebauer, H., Griesche, H., Radenz, M., Hofer, J., Althausen, D., Dahlke, S., and Maturilli, M.: The unexpected smoke layer in the High Arctic winter stratosphere during MOSAiC 2019–2020 , Atmos. Chem. Phys., 21, 15783–15808, https://doi.org/10.5194/acp-21-15783-2021, 2021. a, b, c, d
Osborne, M. J., de Leeuw, J., Witham, C., Schmidt, A., Beckett, F., Kristiansen, N., Buxmann, J., Saint, C., Welton, E. J., Fochesatto, J., Gomes, A. R., Bundke, U., Petzold, A., Marenco, F., and Haywood, J.: The 2019 Raikoke volcanic eruption – Part 2: Particle-phase dispersion and concurrent wildfire smoke emissions, Atmos. Chem. Phys., 22, 2975–2997, https://doi.org/10.5194/acp-22-2975-2022, 2022. a
Palmer, K. and Williams, D.: Optical-Constants of Sulfuric-Acid – Application
to Clouds of Venus, Appl. Opt., 14, 208–219,
https://doi.org/10.1364/AO.14.000208, 1975. a
Park, Y. H., Sokolik, I. N., and Hall, S. R.: The impact of smoke on the
ultraviolet and visible radiative forcing under different fire regimes,
Air Soil Water Res., 11, 1–10,
https://doi.org/10.1177/1178622118774803, 2018. a
Penning de Vries, M. J. M., Dörner, S., Puķīte, J., Hörmann, C., Fromm, M. D., and Wagner, T.: Characterisation of a stratospheric sulfate plume from the Nabro volcano using a combination of passive satellite measurements in nadir and limb geometry, Atmos. Chem. Phys., 14, 8149–8163, https://doi.org/10.5194/acp-14-8149-2014, 2014. a
Peterson, D., R. Campbell, J., Hyer, E., D. Fromm, M., P. Kablick, G.,
H. Cossuth, J., and Deland, M.: Wildfire-driven thunderstorms cause a
volcano-like stratospheric injection of smoke, npj Clim. Atmos.
Sci., 1,
30, https://doi.org/10.1038/s41612-018-0039-3, 2018. a, b
Pitts, M. and Thomason, L.: The Impact of the Eruptions of Mount-Pinatubo and
Cerro Hudson on Antarctic Aerosol Levels During the 1991 Austral Spring,
Geophys. Res. Lett., 20, 2451–2454,
https://doi.org/10.1029/93GL02160, 1993. a
Prata, A. T., Young, S. A., Siems, S. T., and Manton, M. J.: Lidar ratios of stratospheric volcanic ash and sulfate aerosols retrieved from CALIOP measurements, Atmos. Chem. Phys., 17, 8599–8618, https://doi.org/10.5194/acp-17-8599-2017, 2017. a
Pyle, D. M.: Mass and energy budgets of explosive volcanic eruptions,
Geophys. Res. Lett., 22, 563–566, https://doi.org/10.1029/95GL00052, 1995. a
Rashidov, V., Girina, O., Ozerov, A. Y., and Pavlov, N.: The June 2019.
Eruption of Raikoke volcano (the Kurile Islands), Bulletin of Kamchatka
Regional Association “Educational-Scientific Center”, Earth Sci., 42,
5–8, 2019. a
Robock, A.: The Climatic Aftermath, Science, 295, 1242–1244,
https://doi.org/10.1126/science.1069903, 2002. a
Santer, B. D., Bonfils, C., Painter, J. F., Zelinka, M. D., Mears, C., Solomon,
S., Schmidt, G. A., Fyfe, J. C., Cole, J. N., Nazarenko, L., Taylor, K. E., and Wentz, F. J.: Volcanic
contribution to decadal changes in tropospheric temperature, Nat.
Geosci., 7, 185–189, https://doi.org/10.1038/NGEO2098, 2014. a
Schurer, A. P., Hegerl, G. C., Luterbacher, J., Brönnimann, S., Cowan, T.,
Tett, S. F. B., Zanchettin, D., and Timmreck, C.: Disentangling the causes
of the 1816 European year without a summer, Environ. Res.
Lett., 14, 094019, https://doi.org/10.1088/1748-9326/ab3a10, 2019. a
Serco: Copernicus Sentinel-5P [data set], https://scihub.copernicus.eu/, last access: 3 February 2022. a
Stothers, R. B.: The Great Tambora Eruption in 1815 and Its Aftermath,
Science, 224, 1191–1198, https://doi.org/10.1126/science.224.4654.1191,
1984. a
Sumlin, B. J., Heinson, Y. W., Shetty, N., Pandey, A., Pattison, R. S., Baker,
S., Hao, W. M., and Chakrabarty, R. K.: UV–Vis–IR spectral complex
refractive indices and optical properties of brown carbon aerosol from
biomass burning, J. Quant. Spectrosc. Ra. Transf.,
206, 392–398, https://doi.org/10.1016/j.jqsrt.2017.12.009, 2018. a, b, c, d, e
Tanakadate, H.: The volcanic activity of Japan during 1914–1924, Bull.
Volcanol., 1, 3–19, https://doi.org/10.1007/BF02719558, 1925. a
Tereszchuk, K. A., González Abad, G., Clerbaux, C., Hadji-Lazaro, J., Hurtmans, D., Coheur, P.-F., and Bernath, P. F.: ACE-FTS observations of pyrogenic trace species in boreal biomass burning plumes during BORTAS, Atmos. Chem. Phys., 13, 4529–4541, https://doi.org/10.5194/acp-13-4529-2013, 2013. a
Theys, N., De Smedt, I., Yu, H., Danckaert, T., van Gent, J., Hörmann, C., Wagner, T., Hedelt, P., Bauer, H., Romahn, F., Pedergnana, M., Loyola, D., and Van Roozendael, M.: Sulfur dioxide retrievals from TROPOMI onboard Sentinel-5 Precursor: algorithm theoretical basis, Atmos. Meas. Tech., 10, 119–153, https://doi.org/10.5194/amt-10-119-2017, 2017. a
Thomason, L.: Observations of a New SAGE-II Aerosol Extinction Mode Following
the Eruption of Mt-Pinatubo, Geophys. Res. Lett., 19,
2179–2182, https://doi.org/10.1029/92GL02185, 1992. a
Thomason, L. W., Burton, S. P., Luo, B.-P., and Peter, T.: SAGE II measurements of stratospheric aerosol properties at non-volcanic levels, Atmos. Chem. Phys., 8, 983–995, https://doi.org/10.5194/acp-8-983-2008, 2008. a
Thomason, L. W., Kovilakam, M., Schmidt, A., von Savigny, C., Knepp, T., and Rieger, L.: Evidence for the predictability of changes in the stratospheric aerosol size following volcanic eruptions of diverse magnitudes using space-based instruments, Atmos. Chem. Phys., 21, 1143–1158, https://doi.org/10.5194/acp-21-1143-2021, 2021. a, b, c
Thordarson, T. and Self, S.: The Laki (Skaftár Fires) and
Grímsvötn eruptions in 1783–1785, Bull. Volcanol., 55,
233–263, 1993. a
Thordarson, T. and Self, S.: Atmospheric and environmental effects of the
1783–1784 Laki eruption: A review and reassessment, J. Geophys.
Res.-Atmos., 108, AAC7-1–AAC7-29, https://doi.org/10.1029/2001JD002042,
2003. a, b
Turco, R. P., Toon, O. B., Ackerman, T. P., Pollack, J. B., and Sagan, C.:
Nuclear winter: Global consequences of multple nuclear explosions, Science,
222, 1283–1292, 1983. a
Vaughan, M., Pitts, M., Trepte, C., Winker, D., Detweiler, P., Garnier, A.,
Getzewich, B., Hunt, W., Lambeth, J., Lee, K.-P., Lucker, P., Murray, T.,
Rodier, S., Tremas, T., Bazureau, A., and Pelon, J.: Cloud –Aerosol LIDAR
Infrared Pathfinder Satellite Observations: Data Management System, Data
Products Catalog, Release 4.30, Report, National Aeronautics and Space
Administration, https://www-calipso.larc.nasa.gov/products/CALIPSO_DPC_Rev4x30.pdf (last access: 27 May 2021), 2018. a
Vaughan, M. A., Powell, K. A., Winker, D. M., Hostetler, C. A., Kuehn, R. E.,
Hunt, W. H., Getzewich, B. J., Young, S. A., Liu, Z., and McGill, M. J.:
Fully Automated Detection of Cloud and Aerosol Layers in the CALIPSO Lidar
Measurements, J. Atmos. Ocean. Technol., 26,
2034–2050, https://doi.org/10.1175/2009JTECHA1228.1, 2009. a
Veefkind, J., Aben, I., McMullan, K., Förster, H., de Vries, J., Otter, G.,
Claas, J., Eskes, H., de Haan, J., Kleipool, Q., van Weele, M., Hasekamp,
O., Hoogeveen, R., Landgraf, J., Snel, R., Tol, P., Ingmann, P., Voors, R.,
Kruizinga, B., Vink, R., Visser, H., and Levelt, P.: TROPOMI on the ESA
Sentinel-5 Precursor: A GMES mission for global observations of the
atmospheric composition for climate, air quality and ozone layer
applications, Remote Sens. Environ., 120, 70–83,
https://doi.org/10.1016/j.rse.2011.09.027, 2012.
a
Vernier, J. P., Thomason, L. W., Pommereau, J. P., Bourassa, A., Pelon, J.,
Garnier, A., Hauchecorne, A., Blanot, L., Trepte, C., Degenstein, D., and
Vargas, F.: Major influence of tropical volcanic eruptions on the
stratospheric aerosol layer during the last decade, Geophys. Res.
Lett., 38, L12807, https://doi.org/10.1029/2011GL047563, 2011. a, b
Vernier, J.-P., Fairlie, T. D., Deshler, T., Natarajan, M., Knepp, T., Foster,
K., Wienhold, F. G., Bedka, K. M., Thomason, L., and Trepte, C.: In situ and
space-based observations of the Kelud volcanic plume: The persistence of ash
in the lower stratosphere, J. Geophys. Res.-Atmos.,
121, 11104–11118, https://doi.org/10.1002/2016JD025344, 2016. a
Wang, H. J. R., Damadeo, R., Flittner, D., Kramarova, N., Taha, G., Davis, S.,
Thompson, A. M., Strahan, S., Wang, Y., Froidevaux, L., Degenstein, D.,
Bourassa, A., Steinbrecht, W., Walker, K. A., Querel, R., Leblanc, T.,
Godin-Beekmann, S., Hurst, D., and Hall, E.: Validation of SAGE III/ISS
Solar Occultation Ozone Products With Correlative Satellite and Ground-Based
Measurements, J. Geophys. Res.-Atmos., 125,
e2020JD032430, https://doi.org/10.1029/2020JD032430, 2020. a
Wilka, C., Shah, K., Stone, K., Solomon, S., Kinnison, D., Mills, M., Schmidt,
A., and Neely, III, R. R.: On the Role of Heterogeneous Chemistry in Ozone
Depletion and Recovery, Geophys. Res. Lett., 45, 7835–7842,
https://doi.org/10.1029/2018GL078596, 2018. a
Winker, D., Pelon, J., Coakley Jr, J., Ackerman, S., Charlson, R., Colarco, P., Flamant, P., Fu, Q., Hoff, R., Kittaka, C.,
Kubar, T. L., Le Treut, H., McCormick, M. P., Mégie, G., Poole, L., Powell, K., Trepte, C., Vaughan, M. A., and Wielicki, B. A.: The CALIPSO mission: A
global 3D view of aerosols and clouds, B. Am.
Meteorol. Soc., 91, 1211–1230, https://doi.org/10.1175/2010BAMS3009.1, 2010. a
Womack, C. C., Manfred, K. M., Wagner, N. L., Adler, G., Franchin, A., Lamb, K. D., Middlebrook, A. M., Schwarz, J. P., Brock, C. A., Brown, S. S., and Washenfelder, R. A.: Complex refractive indices in the ultraviolet and visible spectral region for highly absorbing non-spherical biomass burning aerosol, Atmos. Chem. Phys., 21, 7235–7252, https://doi.org/10.5194/acp-21-7235-2021, 2021. a
Wrana, F., von Savigny, C., Zalach, J., and Thomason, L. W.: Retrieval of stratospheric aerosol size distribution parameters using satellite solar occultation measurements at three wavelengths, Atmos. Meas. Tech., 14, 2345–2357, https://doi.org/10.5194/amt-14-2345-2021, 2021. a, b, c
Yu, P., Toon, O., Bardeen, C., Zhu, Y., Rosenlof, K., Portmann, R., Thornberry,
T., Gao, R.-S., Davis, S., Wolf, E., de Gouw, J., Peterson, D., Fromm, M.,
and Robock, A.: Black carbon lofts wildfire smoke high into the stratosphere
to form a persistent plume, Science, 365, 587–590,
https://doi.org/10.1126/science.aax1748, 2019. a, b, c, d, e
Short summary
We used aerosol profiles from the SAGE III/ISS instrument to develop an aerosol classification method that was tested on four case-study events (two volcanic, two fire) and supported with CALIOP aerosol products. The method worked well in identifying smoke and volcanic aerosol in the stratosphere for these events. Raikoke is presented as a demonstration of the limitations of this method.
We used aerosol profiles from the SAGE III/ISS instrument to develop an aerosol classification...
