Articles | Volume 19, issue 2
https://doi.org/10.5194/acp-19-1173-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-19-1173-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
30 Jan 2019
Research article |
| 30 Jan 2019
| 30 Jan 2019
Long-range-transported Canadian smoke plumes in the lower stratosphere over northern France
Qiaoyun Hu
CORRESPONDING AUTHOR
Univ. Lille, CNRS, UMR8518 – LOA – Laboratoire d'Optique Atmosphérique, 59000 Lille, France
Philippe Goloub
Univ. Lille, CNRS, UMR8518 – LOA – Laboratoire d'Optique Atmosphérique, 59000 Lille, France
Igor Veselovskii
Physics Instrumentation Center of GPI, Troitsk, Moscow, 142190, Russia
Juan-Antonio Bravo-Aranda
Institut Pierre Simon Laplace, École Polytechnique, CNRS, Université Paris-Saclay, 91128 Palaiseau, France
Ioana Elisabeta Popovici
Univ. Lille, CNRS, UMR8518 – LOA – Laboratoire d'Optique Atmosphérique, 59000 Lille, France
CIMEL Electronique, 75011 Paris, France
Thierry Podvin
Univ. Lille, CNRS, UMR8518 – LOA – Laboratoire d'Optique Atmosphérique, 59000 Lille, France
Martial Haeffelin
Institut Pierre Simon Laplace, École Polytechnique, CNRS, Université Paris-Saclay, 91128 Palaiseau, France
Anton Lopatin
GRASP-SAS, Remote sensing developments, 59650 Villeneuve-d'Ascq, France
Oleg Dubovik
Univ. Lille, CNRS, UMR8518 – LOA – Laboratoire d'Optique Atmosphérique, 59000 Lille, France
Christophe Pietras
Institut Pierre Simon Laplace, École Polytechnique, CNRS, Université Paris-Saclay, 91128 Palaiseau, France
Xin Huang
GRASP-SAS, Remote sensing developments, 59650 Villeneuve-d'Ascq, France
Benjamin Torres
Univ. Lille, CNRS, UMR8518 – LOA – Laboratoire d'Optique Atmosphérique, 59000 Lille, France
Cheng Chen
Univ. Lille, CNRS, UMR8518 – LOA – Laboratoire d'Optique Atmosphérique, 59000 Lille, France
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North Africa and the Middle East are home to the world’s most active dust sources, but accurately monitoring airborne dust remains challenging. We combine active and passive satellite aerosol products to dynamically estimate dust lidar ratios over a 12-year period. The results reveal pronounced and physically meaningful regional variability, improving aerosol characterization and supporting climate and air-quality applications.
Greema Regmi, William Reed Espinosa, Jose Vanderlei Martins, Anin Puthukkudy, Masanori Saito, Oleg Dubovik, Masahiro Momoi, and Anton Lopatin
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Simone Pulimeno, Angelo Lupi, Vito Vitale, Claudia Frangipani, Carlos Toledano, Stelios Kazadzis, Natalia Kouremeti, Christoph Ritter, Sandra Graßl, Kerstin Stebel, Vitali Fioletov, Ihab Abboud, Sandra Blindheim, Lynn Ma, Norm O'Neill, Piotr Sobolewski, Pawan Gupta, Elena Lind, Thomas F. Eck, Antti Hyvärinen, Veijo Aaltonen, Rigel Kivi, Janae Csavina, Dmitry Kabanov, Sergey M. Sakerin, Olga R. Sidorova, Robert S. Stone, Hagen Telg, Laura Riihimaki, Raul R. Cordero, Martin Radenz, Ronny Engelmann, Michel Van Roozendal, Anatoli Chaikovsky, Philippe Goloub, Junji Hisamitsu, and Mauro Mazzola
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Xiaoxia Shang, Maria Filioglou, Julian Hofer, Moritz Haarig, Qiaoyun Hu, Philippe Goloub, Sami Romakkaniemi, and Mika Komppula
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We developed a simple method to identify different types of airborne particles using laser-based measurements. It can distinguish coarse dust, fine dust, and non-dust aerosols. Tests with real data from regions affected by desert dust show the method works well. This helps improve understanding of how particles are distributed in the atmosphere, which is important for air quality and climate studies.
Maria Fernanda Sanchez-Barrero, Philippe Goloub, Luc Blarel, Ioana Elisabeta Popovici, Benjamin Torres, Gaël Dubois, Thierry Podvin, Fabrice Ducos, Romain de Filippi, Michaël Sicard, Viviane Bout Roumazeilles, and Charlotte Skonieczny
Atmos. Meas. Tech., 19, 507–528, https://doi.org/10.5194/amt-19-507-2026, https://doi.org/10.5194/amt-19-507-2026, 2026
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The TRANSAMA ship-based campaign (April–May 2023) aboard Marion Dufresne investigated aerosols from La Réunion to Barbados using photometer and lidar. Observations revealed clean conditions over the South Atlantic, with thin transported aerosol plumes from Southern Africa. Clouds were detected in 53 % of lidar profiles with higher occurrence in the first 2 km. The results show how combined lidar and photometer measurements can improve our understanding of aerosols in marine environment.
Pavel Litvinov, Cheng Chen, Oleg Dubovik, Siyao Zhai, Christian Matar, Chong Li, Anton Lopatin, David Fuertes, Tatyana Lapyonok, Lukas Bindreiter, Manuel Dornacher, Arthur Lehner, Alexandru Dandocsi, Daniele Gasbarra, and Christian Retscher
Atmos. Meas. Tech., 18, 7679–7716, https://doi.org/10.5194/amt-18-7679-2025, https://doi.org/10.5194/amt-18-7679-2025, 2025
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Developed SYREMIS (SYnergetic REtrieval from Multi-MISsion instruments) approach is based on three main principles: (i) harmonization of the multi-instruments L1 measurements, (ii) their “weighting”, and (iii) optimization of the forward models and the retrieval setups. It substantially enhances aerosol and surface characterization from spaceborne measurements. The approach can be extended to future missions, including synergy with multi-angular, multi-spectral, and polarimetric measurements.
William Morrison, Dana Looschelders, Jonnathan Céspedes, Bernie Claxton, Marc-Antoine Drouin, Jean-Charles Dupont, Aurélien Faucheux, Martial Haeffelin, Christopher C. Holst, Simone Kotthaus, Valéry Masson, James McGregor, Jeremy Price, Matthias Zeeman, Sue Grimmond, and Andreas Christen
Earth Syst. Sci. Data, 17, 6507–6529, https://doi.org/10.5194/essd-17-6507-2025, https://doi.org/10.5194/essd-17-6507-2025, 2025
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We conducted research using sophisticated wind sensors to better understand wind patterns in Paris. By installing these sensors across the city, we gathered detailed data on wind speeds and directions from 2022 to 2024. This information helps improve weather and climate models, making them more accurate for city environments. Our findings offer valuable insights for scientists studying urban air and weather, improving predictions and understanding of city-scale atmospheric processes.
Chong Li, Oleg Dubovik, Jing Li, David Fuertes, Anton Lopatin, Pavel Litvinov, Tatsiana Lapyonok, Lukas Bindreiter, Christian Matar, Yiqi Chu, and Wangshu Tan
Atmos. Meas. Tech., 18, 6609–6643, https://doi.org/10.5194/amt-18-6609-2025, https://doi.org/10.5194/amt-18-6609-2025, 2025
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Using observational data from Japan's geostationary satellite – Himawari-8 , this study improved how we track air pollution (aerosols) across East Asia and the Western Pacific. By applying an advanced aerosol retrieval algorithm called GRASP, we were able to more accurately observe both atmospheric and ground conditions and their dynamics over time. The results closely matched ground-based measurements and showed potential for even better monitoring when combined with ground-based lidar data.
Yan Wang, Yujia Cao, Haixiao Yu, Shuo Wang, Qiaoyun Hu, Yuyang Chang, Chun Zhao, Zhengqiang Li, and Cheng Chen
EGUsphere, https://doi.org/10.5194/egusphere-2025-5076, https://doi.org/10.5194/egusphere-2025-5076, 2025
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Pyrocumulonimbus (PyroCb) convection during the August 2024 North American wildfires injected smoke aerosols into the upper troposphere and lower stratosphere, altering cloud microphysics. These aerosols induced warming near fire sources and downwind over Western Europe, while producing contrasting effects over fire-source regions, cooling along the US West Coast and warming across North America, demonstrating strong wildfire-aerosol-cloud-radiation feedbacks with transcontinental impacts.
Sergey Khaykin, Slimane Bekki, Sophie Godin-Beekmann, Michael D. Fromm, Philippe Goloub, Qiaoyun Hu, Béatrice Josse, Alexandra Laeng, Mehdi Meziane, David A. Peterson, Sophie Pelletier, and Valérie Thouret
Atmos. Chem. Phys., 25, 14551–14571, https://doi.org/10.5194/acp-25-14551-2025, https://doi.org/10.5194/acp-25-14551-2025, 2025
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In 2023, massive wildfires in Canada injected huge amounts of smoke into the atmosphere. Surprisingly, despite their intensity, the smoke did not rise very high but lingered at flight cruising altitudes, causing widespread pollution. This study shows how two different pathways lifted smoke into the lower stratosphere and reveals new insights into how wildfires affect air quality and climate, challenging what we thought we knew about fire and atmospheric impacts.
Igor Veselovskii, Qiaoyun Hu, Philippe Goloub, Thierry Podvin, Gaël Dubois, Alexey Kolgotin, and Mikhail Korenskii
Atmos. Meas. Tech., 18, 6039–6051, https://doi.org/10.5194/amt-18-6039-2025, https://doi.org/10.5194/amt-18-6039-2025, 2025
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A Mie–Raman–fluorescence lidar is used to analyze possible quenching of aerosol fluorescence during hygroscopic growth. The well-mixed planetary boundary layer serves as a convenient environment for such studies, since the fluorescence backscattering coefficient should remain constant in the absence of water uptake effects. However, during some episodes, we observed a systematic decrease in fluorescence backscattering, which likely indicates fluorescence quenching.
Robin Miri, Olivier Pujol, Qiaoyun Hu, Philippe Goloub, Igor Veselovskii, Thierry Podvin, and Fabrice Ducos
Atmos. Meas. Tech., 18, 5729–5747, https://doi.org/10.5194/amt-18-5729-2025, https://doi.org/10.5194/amt-18-5729-2025, 2025
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We developed a new method to automatically identify types of particles in the air, such as smoke, dust, or pollution, using a specialized laser system. This helps monitor air quality more efficiently and in greater detail. Our method uses real data collected over 3 years in northern France and can detect changes caused by weather conditions. It offers a faster and more accurate way to understand what is in the air we breathe.
Benjamin Torres, Luc Blarel, Philippe Goloub, Gaël Dubois, Maria Fernanda Sanchez-Barrero, Ioana Elisabeta Popovici, Fabrice Maupin, Elena Lind, Alexander Smirnov, Ilya Slutsker, Julien Chimot, Ramiro González, Michaël Sicard, Jean Marc Metzger, and Pierre Tulet
Atmos. Meas. Tech., 18, 4809–4838, https://doi.org/10.5194/amt-18-4809-2025, https://doi.org/10.5194/amt-18-4809-2025, 2025
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This study shows that it is possible to automatically monitor atmospheric aerosols from research vessels using automated instruments, following the same standards as AERONET (AErosol RObotic NETwork) land-based stations. By collecting 3 years of data in the Indian Ocean, we demonstrate that high-quality measurements can be made, even on a moving platform. These results open new possibilities for observing aerosols over the ocean and improving satellite data and climate studies.
Mégane Ventura, Fabien Waquet, Isabelle Chiapello, Gérard Brogniez, Frédéric Parol, Frédérique Auriol, Rodrigue Loisil, Cyril Delegove, Luc Blarel, Oleg Dubovik, Marc Mallet, Cyrille Flamant, and Paola Formenti
Atmos. Meas. Tech., 18, 4005–4024, https://doi.org/10.5194/amt-18-4005-2025, https://doi.org/10.5194/amt-18-4005-2025, 2025
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Biomass-burning aerosols (BBAs) from Central Africa are transported above stratocumulus clouds. The absorption of solar energy by aerosols induces warming, altering the cloud dynamics. We developed an approach that combines polarimeter and lidar to quantify this. This methodology is assessed during the AEROCLO-sA (AErosol RadiatiOn and CLOud in Southern Africa) campaign. To validate it, we used irradiance measurements acquired during aircraft spiral descents. A major perspective is the generalization of this method to the global level.
Cheng Chen, Xuefeng Lei, Zhenhai Liu, Haorang Gu, Oleg Dubovik, Pavel Litvinov, David Fuertes, Yujia Cao, Haixiao Yu, Guangfeng Xiang, Binghuan Meng, Zhenwei Qiu, Xiaobing Sun, Jin Hong, and Zhengqiang Li
Earth Syst. Sci. Data, 17, 3497–3519, https://doi.org/10.5194/essd-17-3497-2025, https://doi.org/10.5194/essd-17-3497-2025, 2025
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Particulate Observing Scanning Polarization (POSP) on board the second GaoFen-5 (GF-5(02)) satellite is the first space-borne ultraviolet–visible–near-infrared–shortwave-infrared (UV–VIS–NIR–SWIR) multi-spectral cross-track scanning polarimeter. Due to its wide spectral range and polarimetric capabilities, POSP measurements provide rich information for aerosol and surface characterization. We present the detailed aerosol/surface products generated from POSP's first 18 months of operation, including spectral aerosol optical depth, aerosol-size-/absorption-related properties, surface black-sky and white-sky albedos, etc.
Yuyang Chang, Qiaoyun Hu, Philippe Goloub, Thierry Podvin, Igor Veselovskii, Fabrice Ducos, Gaël Dubois, Masanori Saito, Anton Lopatin, Oleg Dubovik, and Cheng Chen
Atmos. Chem. Phys., 25, 6787–6821, https://doi.org/10.5194/acp-25-6787-2025, https://doi.org/10.5194/acp-25-6787-2025, 2025
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Our study retrieved dust aerosol microphysical properties from lidar measurements using different scattering models. Numeric simulations and real data applications revealed the importance of considering depolarization measurements and the superiority of the irregular–hexahedral model in the retrieval of dust aerosols from lidar measurements.
Ludovico Di Antonio, Matthias Beekmann, Guillaume Siour, Vincent Michoud, Christopher Cantrell, Astrid Bauville, Antonin Bergé, Mathieu Cazaunau, Servanne Chevaillier, Manuela Cirtog, Joel F. de Brito, Paola Formenti, Cecile Gaimoz, Olivier Garret, Aline Gratien, Valérie Gros, Martial Haeffelin, Lelia N. Hawkins, Simone Kotthaus, Gael Noyalet, Diana L. Pereira, Jean-Eudes Petit, Eva Drew Pronovost, Véronique Riffault, Chenjie Yu, Gilles Foret, Jean-François Doussin, and Claudia Di Biagio
Atmos. Chem. Phys., 25, 4803–4831, https://doi.org/10.5194/acp-25-4803-2025, https://doi.org/10.5194/acp-25-4803-2025, 2025
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The summer of 2022 has been considered a proxy for future climate scenarios due to its hot and dry conditions. In this paper, we use the measurements from the Atmospheric Chemistry of the Suburban Forest (ACROSS) campaign, conducted in the Paris area in June–July 2022, along with observations from existing networks, to evaluate a 3D chemistry transport model (WRF–CHIMERE) simulation. Results are shown to be satisfactory, allowing us to explain the gas and aerosol variability at the campaign sites.
Zhenyu Zhang, Jing Li, Huizheng Che, Yueming Dong, Oleg Dubovik, Thomas Eck, Pawan Gupta, Brent Holben, Jhoon Kim, Elena Lind, Trailokya Saud, Sachchida Nand Tripathi, and Tong Ying
Atmos. Chem. Phys., 25, 4617–4637, https://doi.org/10.5194/acp-25-4617-2025, https://doi.org/10.5194/acp-25-4617-2025, 2025
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We used ground-based remote sensing data from the Aerosol Robotic Network to examine long-term trends in aerosol characteristics. We found aerosol loadings generally decreased globally, and aerosols became more scattering. These changes are closely related to variations in aerosol compositions, such as decreased anthropogenic emissions over East Asia, Europe, and North America; increased anthropogenic sources over northern India; and increased dust activity over the Arabian Peninsula.
Yenny González, María F. Sánchez-Barrero, Ioana Popovici, África Barreto, Stephane Victori, Ellsworth J. Welton, Rosa D. García, Pablo G. Sicilia, Fernando A. Almansa, Carlos Torres, and Philippe Goloub
Atmos. Meas. Tech., 18, 1885–1908, https://doi.org/10.5194/amt-18-1885-2025, https://doi.org/10.5194/amt-18-1885-2025, 2025
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We characterize the optical properties of various aerosols using a compact dual-wavelength depolarization lidar (CIMEL CE376) at 532 and 808 nm. Through a modified two-wavelength Klett inversion method, we assess the vertical distribution and temporal evolution of Saharan dust, volcanic aerosols and wildfire smoke in the subtropical North Atlantic from August 2021 to August 2023. The study confirms the CE376 lidar's effectiveness in monitoring and characterizing atmospheric aerosols over time.
Igor Veselovskii, Mikhail Korenskiy, Nikita Kasianik, Boris Barchunov, Qiaoyun Hu, Philippe Goloub, and Thierry Podvin
Atmos. Chem. Phys., 25, 1603–1615, https://doi.org/10.5194/acp-25-1603-2025, https://doi.org/10.5194/acp-25-1603-2025, 2025
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A fluorescence lidar was used to study transported Canadian smoke in May–September 2023. The fluorescence measurements were taken at five wavelengths. The results revealed that fluorescence capacity increases with altitude, suggesting a higher concentration of organic compounds in the upper troposphere and lower stratosphere than in the lower troposphere. The fluorescence spectra peaked in the 513 and 560 nm channels in smoke layers but decreased with wavelength in urban aerosols.
Martial Haeffelin, Jean-François Ribaud, Jonnathan Céspedes, Jean-Charles Dupont, Aude Lemonsu, Valéry Masson, Tim Nagel, and Simone Kotthaus
Atmos. Chem. Phys., 24, 14101–14122, https://doi.org/10.5194/acp-24-14101-2024, https://doi.org/10.5194/acp-24-14101-2024, 2024
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This study highlights how the state of the urban atmospheric boundary layer impacts urban park cooling effect intensity at night. Under summertime heat wave conditions, the urban atmosphere becomes stable at night, which inhibits turbulent motions. Under those specific conditions, urban parks and woods cool much more efficiently than the surrounding built-up neighbourhoods in the evening and through the night, providing cooler air temperatures by 4 to 6° C depending on park size.
Jonnathan Céspedes, Simone Kotthaus, Jana Preissler, Clément Toupoint, Ludovic Thobois, Marc-Antoine Drouin, Jean-Charles Dupont, Aurélien Faucheux, and Martial Haeffelin
Atmos. Chem. Phys., 24, 11477–11496, https://doi.org/10.5194/acp-24-11477-2024, https://doi.org/10.5194/acp-24-11477-2024, 2024
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The low-level jet (LLJ) is common in Paris during summer. The LLJ core height and speed significantly influence vertical mixing in the urban boundary layer, which affects air temperature variations between the urban canopy layer and surrounding rural areas, determining the urban heat island (UHI) intensity. This study highlights the importance of wind profile observations for understanding urban boundary layer dynamics and near-surface atmospheric conditions relevant to health.
Pierre Tulet, Joel Van Baelen, Pierre Bosser, Jérome Brioude, Aurélie Colomb, Philippe Goloub, Andrea Pazmino, Thierry Portafaix, Michel Ramonet, Karine Sellegri, Melilotus Thyssen, Léa Gest, Nicolas Marquestaut, Dominique Mékiès, Jean-Marc Metzger, Gilles Athier, Luc Blarel, Marc Delmotte, Guillaume Desprairies, Mérédith Dournaux, Gaël Dubois, Valentin Duflot, Kevin Lamy, Lionel Gardes, Jean-François Guillemot, Valérie Gros, Joanna Kolasinski, Morgan Lopez, Olivier Magand, Erwan Noury, Manuel Nunes-Pinharanda, Guillaume Payen, Joris Pianezze, David Picard, Olivier Picard, Sandrine Prunier, François Rigaud-Louise, Michael Sicard, and Benjamin Torres
Earth Syst. Sci. Data, 16, 3821–3849, https://doi.org/10.5194/essd-16-3821-2024, https://doi.org/10.5194/essd-16-3821-2024, 2024
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The MAP-IO program aims to compensate for the lack of atmospheric and oceanographic observations in the Southern Ocean by equipping the ship Marion Dufresne with a set of 17 scientific instruments. This program collected 700 d of measurements under different latitudes, seasons, sea states, and weather conditions. These new data will support the calibration and validation of numerical models and the understanding of the atmospheric composition of this region of Earth.
Anton Lopatin, Oleg Dubovik, Georgiy Stenchikov, Ellsworth J. Welton, Illia Shevchenko, David Fuertes, Marcos Herreras-Giralda, Tatsiana Lapyonok, and Alexander Smirnov
Atmos. Meas. Tech., 17, 4445–4470, https://doi.org/10.5194/amt-17-4445-2024, https://doi.org/10.5194/amt-17-4445-2024, 2024
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We compare aerosol properties over the King Abdullah University of Science and Technology campus using Generalized Retrieval of Aerosol and Surface Properties (GRASP) and the Micro-Pulse Lidar Network (MPLNET). We focus on the impact of different aerosol retrieval assumptions on daytime and nighttime retrievals and analyze seasonal variability in aerosol properties, aiding in understanding aerosol behavior and improving retrieval. Our work has implications for climate and public health.
Igor Veselovskii, Boris Barchunov, Qiaoyun Hu, Philippe Goloub, Thierry Podvin, Mikhail Korenskii, Gaël Dubois, William Boissiere, and Nikita Kasianik
Atmos. Meas. Tech., 17, 4137–4152, https://doi.org/10.5194/amt-17-4137-2024, https://doi.org/10.5194/amt-17-4137-2024, 2024
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The paper presents a new method that categorizes atmospheric aerosols by analyzing their optical properties with a Mie–Raman–fluorescence lidar. The research specifically looks into understanding the presence of smoke, urban, and dust aerosols in the mixtures identified by this lidar. The reliability of the results is evaluated using the Monte Carlo technique. The effectiveness of this approach is successfully demonstrated through testing in ATOLL, an observatory influenced by diverse aerosols.
Robin Miri, Olivier Pujol, Qiaoyun Hu, Philippe Goloub, Igor Veselovskii, Thierry Podvin, and Fabrice Ducos
Atmos. Meas. Tech., 17, 3367–3375, https://doi.org/10.5194/amt-17-3367-2024, https://doi.org/10.5194/amt-17-3367-2024, 2024
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This paper focuses on the use of fluorescence to study aerosols with lidar. An innovative method for aerosol hygroscopic growth study using fluorescence is presented. The paper presents case studies to showcase the effectiveness and potential of the proposed approach. These advancements will contribute to better understanding the interactions between aerosols and water vapor, with future work expected to be dedicated to aerosol–cloud interaction.
Maria Fernanda Sanchez Barrero, Ioana Elisabeta Popovici, Philippe Goloub, Stephane Victori, Qiaoyun Hu, Benjamin Torres, Thierry Podvin, Luc Blarel, Gaël Dubois, Fabrice Ducos, Eric Bourrianne, Aliaksandr Lapionak, Lelia Proniewski, Brent Holben, David Matthew Giles, and Anthony LaRosa
Atmos. Meas. Tech., 17, 3121–3146, https://doi.org/10.5194/amt-17-3121-2024, https://doi.org/10.5194/amt-17-3121-2024, 2024
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This study showcases the use of a compact elastic lidar to monitor aerosols aboard moving platforms. By coupling dual-wavelength and depolarization measurements with photometer data, we studied aerosols during events of Saharan dust and smoke transport. Our research, conducted in various scenarios, not only validated our methods but also offered insights into the atmospheric dynamics near active fires. This study aids future research to fill observational gaps in aerosol monitoring.
Lieuwe G. Tilstra, Martin de Graaf, Victor J. H. Trees, Pavel Litvinov, Oleg Dubovik, and Piet Stammes
Atmos. Meas. Tech., 17, 2235–2256, https://doi.org/10.5194/amt-17-2235-2024, https://doi.org/10.5194/amt-17-2235-2024, 2024
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This paper introduces a new surface albedo climatology of directionally dependent Lambertian-equivalent reflectivity (DLER) observed by TROPOMI on the Sentinel-5 Precursor satellite. The database contains monthly fields of DLER for 21 wavelength bands at a relatively high spatial resolution of 0.125 by 0.125 degrees. The anisotropy of the surface reflection is handled by parameterisation of the viewing angle dependence.
Alkistis Papetta, Franco Marenco, Maria Kezoudi, Rodanthi-Elisavet Mamouri, Argyro Nisantzi, Holger Baars, Ioana Elisabeta Popovici, Philippe Goloub, Stéphane Victori, and Jean Sciare
Atmos. Meas. Tech., 17, 1721–1738, https://doi.org/10.5194/amt-17-1721-2024, https://doi.org/10.5194/amt-17-1721-2024, 2024
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We propose a method to determine depolarization parameters using observations from a reference instrument at a nearby location, needed for systems where a priori knowledge of cross-talk parameters is not available. It uses three-parameter equations to compare VDR between two co-located lidars at dust and molecular layers. It can be applied retrospectively to existing data acquired during campaigns. Its application to Cimel CE376 corrected VDR bias at high- and low-depolarizing layers.
Otto Hasekamp, Pavel Litvinov, Guangliang Fu, Cheng Chen, and Oleg Dubovik
Atmos. Meas. Tech., 17, 1497–1525, https://doi.org/10.5194/amt-17-1497-2024, https://doi.org/10.5194/amt-17-1497-2024, 2024
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Aerosols are particles in the atmosphere that cool the climate by reflecting and absorbing sunlight (direct effect) and changing cloud properties (indirect effect). The scale of aerosol cooling is uncertain, hampering accurate climate predictions. We compare two algorithms for the retrieval of aerosol properties from multi-angle polarimetric measurements: Generalized Retrieval of Atmosphere and Surface Properties (GRASP) and Remote sensing of Trace gas and Aerosol Products (RemoTAP).
Igor Veselovskii, Qiaoyun Hu, Philippe Goloub, Thierry Podvin, William Boissiere, Mikhail Korenskiy, Nikita Kasianik, Sergey Khaykyn, and Robin Miri
Atmos. Meas. Tech., 17, 1023–1036, https://doi.org/10.5194/amt-17-1023-2024, https://doi.org/10.5194/amt-17-1023-2024, 2024
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Measurements of transported smoke layers were performed with a lidar in Lille and a five-channel fluorescence lidar in Moscow. Results show the peak of fluorescence in the boundary layer is at 438 nm, while in the smoke layer it shifts to longer wavelengths. The fluorescence depolarization is 45 % to 55 %. The depolarization ratio of the water vapor channel is low (2 ± 0.5 %) in the absence of fluorescence and can be used to evaluate the contribution of fluorescence to water vapor signal.
Cheikh Dione, Martial Haeffelin, Frédéric Burnet, Christine Lac, Guylaine Canut, Julien Delanoë, Jean-Charles Dupont, Susana Jorquera, Pauline Martinet, Jean-François Ribaud, and Felipe Toledo
Atmos. Chem. Phys., 23, 15711–15731, https://doi.org/10.5194/acp-23-15711-2023, https://doi.org/10.5194/acp-23-15711-2023, 2023
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This paper documents the role of thermodynamics and turbulence in the fog life cycle over southwestern France. It is based on a unique dataset collected during the SOFOG3D field campaign in autumn and winter 2019–2020. The paper gives a threshold for turbulence driving the different phases of the fog life cycle and the role of advection in the night-time dissipation of fog. The results can be operationalised to nowcast fog and improve short-range forecasts in numerical weather prediction models.
Alexandra Tsekeri, Anna Gialitaki, Marco Di Paolantonio, Davide Dionisi, Gian Luigi Liberti, Alnilam Fernandes, Artur Szkop, Aleksander Pietruczuk, Daniel Pérez-Ramírez, Maria J. Granados Muñoz, Juan Luis Guerrero-Rascado, Lucas Alados-Arboledas, Diego Bermejo Pantaleón, Juan Antonio Bravo-Aranda, Anna Kampouri, Eleni Marinou, Vassilis Amiridis, Michael Sicard, Adolfo Comerón, Constantino Muñoz-Porcar, Alejandro Rodríguez-Gómez, Salvatore Romano, Maria Rita Perrone, Xiaoxia Shang, Mika Komppula, Rodanthi-Elisavet Mamouri, Argyro Nisantzi, Diofantos Hadjimitsis, Francisco Navas-Guzmán, Alexander Haefele, Dominika Szczepanik, Artur Tomczak, Iwona S. Stachlewska, Livio Belegante, Doina Nicolae, Kalliopi Artemis Voudouri, Dimitris Balis, Athena A. Floutsi, Holger Baars, Linda Miladi, Nicolas Pascal, Oleg Dubovik, and Anton Lopatin
Atmos. Meas. Tech., 16, 6025–6050, https://doi.org/10.5194/amt-16-6025-2023, https://doi.org/10.5194/amt-16-6025-2023, 2023
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EARLINET/ACTRIS organized an intensive observational campaign in May 2020, with the objective of monitoring the atmospheric state over Europe during the COVID-19 lockdown and relaxation period. The work presented herein focuses on deriving a common methodology for applying a synergistic retrieval that utilizes the network's ground-based passive and active remote sensing measurements and deriving the aerosols from anthropogenic activities over Europe.
Jinghui Lian, Thomas Lauvaux, Hervé Utard, François-Marie Bréon, Grégoire Broquet, Michel Ramonet, Olivier Laurent, Ivonne Albarus, Mali Chariot, Simone Kotthaus, Martial Haeffelin, Olivier Sanchez, Olivier Perrussel, Hugo Anne Denier van der Gon, Stijn Nicolaas Camiel Dellaert, and Philippe Ciais
Atmos. Chem. Phys., 23, 8823–8835, https://doi.org/10.5194/acp-23-8823-2023, https://doi.org/10.5194/acp-23-8823-2023, 2023
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This study quantifies urban CO2 emissions via an atmospheric inversion for the Paris metropolitan area over a 6-year period from 2016 to 2021. Results show a long-term decreasing trend of about 2 % ± 0.6 % per year in the annual CO2 emissions over Paris. We conclude that our current capacity can deliver near-real-time CO2 emission estimates at the city scale in under a month, and the results agree within 10 % with independent estimates from multiple city-scale inventories.
Theano Drosoglou, Ioannis-Panagiotis Raptis, Massimo Valeri, Stefano Casadio, Francesca Barnaba, Marcos Herreras-Giralda, Anton Lopatin, Oleg Dubovik, Gabriele Brizzi, Fabrizio Niro, Monica Campanelli, and Stelios Kazadzis
Atmos. Meas. Tech., 16, 2989–3014, https://doi.org/10.5194/amt-16-2989-2023, https://doi.org/10.5194/amt-16-2989-2023, 2023
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Aerosol optical properties derived from sun photometers depend on the optical depth of trace gases absorbing solar radiation at specific spectral ranges. Various networks use satellite-based climatologies to account for this or neglect their effect. In this work, we evaluate the effect of NO2 absorption in aerosol retrievals from AERONET and SKYNET over two stations in Rome, Italy, with relatively high NO2 spatiotemporal variations, using NO2 data from the Pandora network and the TROPOMI sensor.
Igor Veselovskii, Nikita Kasianik, Mikhail Korenskii, Qiaoyun Hu, Philippe Goloub, Thierry Podvin, and Dong Liu
Atmos. Meas. Tech., 16, 2055–2065, https://doi.org/10.5194/amt-16-2055-2023, https://doi.org/10.5194/amt-16-2055-2023, 2023
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A five-channel fluorescence lidar was developed for the study of atmospheric aerosol. The fluorescence spectrum induced by 355 nm laser emission is analyzed in five spectral intervals, namely 438 and 29, 472 and 32, 513 and 29, 560 and 40, and 614 and 54 nm. This lidar system was operated during strong forest fires. Our results demonstrate that, for urban aerosol, the maximal fluorescence backscattering is observed at 472 nm, while for smoke, the spectrum is shifted toward longer wavelengths.
Simone Kotthaus, Juan Antonio Bravo-Aranda, Martine Collaud Coen, Juan Luis Guerrero-Rascado, Maria João Costa, Domenico Cimini, Ewan J. O'Connor, Maxime Hervo, Lucas Alados-Arboledas, María Jiménez-Portaz, Lucia Mona, Dominique Ruffieux, Anthony Illingworth, and Martial Haeffelin
Atmos. Meas. Tech., 16, 433–479, https://doi.org/10.5194/amt-16-433-2023, https://doi.org/10.5194/amt-16-433-2023, 2023
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Profile observations of the atmospheric boundary layer now allow for layer heights and characteristics to be derived at high temporal and vertical resolution. With novel high-density ground-based remote-sensing measurement networks emerging, horizontal information content is also increasing. This review summarises the capabilities and limitations of various sensors and retrieval algorithms which need to be considered during the harmonisation of data products for high-impact applications.
Milagros E. Herrera, Oleg Dubovik, Benjamin Torres, Tatyana Lapyonok, David Fuertes, Anton Lopatin, Pavel Litvinov, Cheng Chen, Jose Antonio Benavent-Oltra, Juan L. Bali, and Pablo R. Ristori
Atmos. Meas. Tech., 15, 6075–6126, https://doi.org/10.5194/amt-15-6075-2022, https://doi.org/10.5194/amt-15-6075-2022, 2022
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This study deals with the dynamic error estimates of the aerosol-retrieved properties by the GRASP algorithm, which are provided for directly retrieved and derived parameters. Moreover, GRASP provides full covariance matrices that appear to be a useful approach for optimizing observation schemes and retrieval set-ups. The validation of the retrieved dynamic error estimates is done through real and synthetic measurements using sun photometer and lidar observations.
Alireza Moallemi, Rob L. Modini, Tatyana Lapyonok, Anton Lopatin, David Fuertes, Oleg Dubovik, Philippe Giaccari, and Martin Gysel-Beer
Atmos. Meas. Tech., 15, 5619–5642, https://doi.org/10.5194/amt-15-5619-2022, https://doi.org/10.5194/amt-15-5619-2022, 2022
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Aerosol properties (size distributions, refractive indices) can be retrieved from in situ, angularly resolved light scattering measurements performed with polar nephelometers. We apply an established framework to assess the aerosol property retrieval potential for different instrument configurations, target applications, and assumed prior knowledge. We also demonstrate how a reductive greedy algorithm can be used to determine the optimal placements of the angular sensors in a polar nephelometer.
Thomas Drugé, Pierre Nabat, Marc Mallet, Martine Michou, Samuel Rémy, and Oleg Dubovik
Atmos. Chem. Phys., 22, 12167–12205, https://doi.org/10.5194/acp-22-12167-2022, https://doi.org/10.5194/acp-22-12167-2022, 2022
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This study presents the implementation of brown carbon in the atmospheric component of the CNRM global climate model and particularly in its aerosol scheme TACTIC. Several simulations were carried out with this climate model, over the period 2000–2014, to evaluate the model by comparison with different reference datasets (PARASOL-GRASP, OMI-OMAERUVd, MACv2, FMI_SAT, AERONET) and to analyze the brown carbon radiative and climatic effects.
Igor Veselovskii, Qiaoyun Hu, Philippe Goloub, Thierry Podvin, Boris Barchunov, and Mikhail Korenskii
Atmos. Meas. Tech., 15, 4881–4900, https://doi.org/10.5194/amt-15-4881-2022, https://doi.org/10.5194/amt-15-4881-2022, 2022
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An approach to reveal variability in aerosol type at a high spatiotemporal resolution, by combining fluorescence and Mie–Raman lidar data, is presented. We applied this new classification scheme to lidar data obtained by LOA, University of Lille, in 2020–2021. It is demonstrated that the separation of the main particle types, such as smoke, dust, pollen, and urban, can be performed with a height resolution of 60 m and temporal resolution better than 10 min for the current lidar configuration.
Lei Li, Yevgeny Derimian, Cheng Chen, Xindan Zhang, Huizheng Che, Gregory L. Schuster, David Fuertes, Pavel Litvinov, Tatyana Lapyonok, Anton Lopatin, Christian Matar, Fabrice Ducos, Yana Karol, Benjamin Torres, Ke Gui, Yu Zheng, Yuanxin Liang, Yadong Lei, Jibiao Zhu, Lei Zhang, Junting Zhong, Xiaoye Zhang, and Oleg Dubovik
Earth Syst. Sci. Data, 14, 3439–3469, https://doi.org/10.5194/essd-14-3439-2022, https://doi.org/10.5194/essd-14-3439-2022, 2022
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A climatology of aerosol composition concentration derived from POLDER-3 observations using GRASP/Component is presented. The conceptual specifics of the GRASP/Component approach are in the direct retrieval of aerosol speciation without intermediate retrievals of aerosol optical characteristics. The dataset of satellite-derived components represents scarce but imperative information for validation and potential adjustment of chemical transport models.
Shikuan Jin, Yingying Ma, Cheng Chen, Oleg Dubovik, Jin Hong, Boming Liu, and Wei Gong
Atmos. Meas. Tech., 15, 4323–4337, https://doi.org/10.5194/amt-15-4323-2022, https://doi.org/10.5194/amt-15-4323-2022, 2022
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Aerosol parameter retrievals have always been a research focus. In this study, we used an advanced aerosol algorithms (GRASP, developed by Oleg Dubovik) to test the ability of DPC/Gaofen-5 (the first polarized multi-angle payload developed in China) images to obtain aerosol parameters. The results show that DPC/GRASP achieves good results (R > 0.9). This research will contribute to the development of hardware and algorithms for aerosols
Alexander Sinyuk, Brent N. Holben, Thomas F. Eck, David M. Giles, Ilya Slutsker, Oleg Dubovik, Joel S. Schafer, Alexander Smirnov, and Mikhail Sorokin
Atmos. Meas. Tech., 15, 4135–4151, https://doi.org/10.5194/amt-15-4135-2022, https://doi.org/10.5194/amt-15-4135-2022, 2022
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This paper describes modification of smoothness constraints on the imaginary part of the refractive index employed in the AERONET aerosol retrieval algorithm. This modification is termed relaxed due to the weaker strength of this new smoothness constraint. Applying the modified version of the smoothness constraint results in a significant reduction of retrieved light absorption by brown-carbon-containing aerosols.
Kevin Ohneiser, Albert Ansmann, Bernd Kaifler, Alexandra Chudnovsky, Boris Barja, Daniel A. Knopf, Natalie Kaifler, Holger Baars, Patric Seifert, Diego Villanueva, Cristofer Jimenez, Martin Radenz, Ronny Engelmann, Igor Veselovskii, and Félix Zamorano
Atmos. Chem. Phys., 22, 7417–7442, https://doi.org/10.5194/acp-22-7417-2022, https://doi.org/10.5194/acp-22-7417-2022, 2022
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We present and discuss 2 years of long-term lidar observations of the largest stratospheric perturbation by wildfire smoke ever observed. The smoke originated from the record-breaking Australian fires in 2019–2020 and affects climate conditions and even the ozone layer in the Southern Hemisphere. The obvious link between dense smoke occurrence in the stratosphere and strong ozone depletion found in the Arctic and in the Antarctic in 2020 can be regarded as a new aspect of climate change.
Qiaoyun Hu, Philippe Goloub, Igor Veselovskii, and Thierry Podvin
Atmos. Chem. Phys., 22, 5399–5414, https://doi.org/10.5194/acp-22-5399-2022, https://doi.org/10.5194/acp-22-5399-2022, 2022
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Our lidar observations show that the optical properties of wildfire smoke particles are highly varied after long-range transport. The variabilities are probably relevant to vegetation type, combustion condition and the aging process, which alter the smoke particle properties, as well as their impact on cloud processes and properties. The lidar fluorescence channel provides a good opportunity for smoke characterization and heterogenous ice crystal formation.
Igor Veselovskii, Qiaoyun Hu, Albert Ansmann, Philippe Goloub, Thierry Podvin, and Mikhail Korenskiy
Atmos. Chem. Phys., 22, 5209–5221, https://doi.org/10.5194/acp-22-5209-2022, https://doi.org/10.5194/acp-22-5209-2022, 2022
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A remote sensing method based on fluorescence lidar measurements can detect and quantify the smoke content in the upper troposphere and inside cirrus clouds. Based on two case studies, we demonstrate that the fluorescence lidar technique provides the possibility to estimate the smoke surface area concentration within freshly formed cirrus layers. This value was used in a smoke ice nucleating particle parameterization scheme to predict ice crystal number concentrations in cirrus generation cells.
Jean-Claude Roger, Eric Vermote, Sergii Skakun, Emilie Murphy, Oleg Dubovik, Natacha Kalecinski, Bruno Korgo, and Brent Holben
Atmos. Meas. Tech., 15, 1123–1144, https://doi.org/10.5194/amt-15-1123-2022, https://doi.org/10.5194/amt-15-1123-2022, 2022
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From measurements of the sky performed by AERONET, we determined the microphysical properties of the atmospheric particles (aerosols) for each AERONET site. We used the aerosol optical thickness and its variation over the visible spectrum. This allows us to determine an aerosol model useful for (but not only) the validation of the surface reflectance satellite-derived product. The impact of the aerosol model uncertainties on the surface reflectance validation has been found to be 1 % to 3 %.
Sujung Go, Alexei Lyapustin, Gregory L. Schuster, Myungje Choi, Paul Ginoux, Mian Chin, Olga Kalashnikova, Oleg Dubovik, Jhoon Kim, Arlindo da Silva, Brent Holben, and Jeffrey S. Reid
Atmos. Chem. Phys., 22, 1395–1423, https://doi.org/10.5194/acp-22-1395-2022, https://doi.org/10.5194/acp-22-1395-2022, 2022
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This paper presents a retrieval algorithm of iron-oxide species (hematite, goethite) content in the atmosphere from DSCOVR EPIC observations. Our results display variations within the published range of hematite and goethite over the main dust-source regions but show significant seasonal and spatial variability. This implies a single-viewing satellite instrument with UV–visible channels may provide essential information on shortwave dust direct radiative effects for climate modeling.
Roberto Román, Juan C. Antuña-Sánchez, Victoria E. Cachorro, Carlos Toledano, Benjamín Torres, David Mateos, David Fuertes, César López, Ramiro González, Tatyana Lapionok, Marcos Herreras-Giralda, Oleg Dubovik, and Ángel M. de Frutos
Atmos. Meas. Tech., 15, 407–433, https://doi.org/10.5194/amt-15-407-2022, https://doi.org/10.5194/amt-15-407-2022, 2022
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An all-sky camera is used to obtain the relative sky radiance, and this radiance is used as input in an inversion code to obtain aerosol properties. This paper is really interesting because it pushes forward the use and capability of sky cameras for more advanced science purposes. Enhanced aerosol properties can be retrieved with accuracy using only an all-sky camera, but synergy with other instruments providing aerosol optical depth could even increase the power of these low-cost instruments.
Jean-François Ribaud, Martial Haeffelin, Jean-Charles Dupont, Marc-Antoine Drouin, Felipe Toledo, and Simone Kotthaus
Atmos. Meas. Tech., 14, 7893–7907, https://doi.org/10.5194/amt-14-7893-2021, https://doi.org/10.5194/amt-14-7893-2021, 2021
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PARAFOG is a near-real-time decision tool that aims to retrieve pre-fog alert levels minutes to hours prior to fog onset. The second version of PARAFOG allows us to discriminate between radiation and stratus lowering fog situations. It is based upon the combination of visibility observations and automatic lidar and ceilometer measurements. The overall performance of the second version of PARAFOG over more than 300 fog cases at five different locations presents a good perfomance.
Jean-Eudes Petit, Jean-Charles Dupont, Olivier Favez, Valérie Gros, Yunjiang Zhang, Jean Sciare, Leila Simon, François Truong, Nicolas Bonnaire, Tanguy Amodeo, Robert Vautard, and Martial Haeffelin
Atmos. Chem. Phys., 21, 17167–17183, https://doi.org/10.5194/acp-21-17167-2021, https://doi.org/10.5194/acp-21-17167-2021, 2021
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The COVID-19 outbreak led to lockdowns at national scales in spring 2020. Large cuts in emissions occurred, but the quantitative assessment of their role from observations is hindered by weather and interannual variability. That is why we developed an innovative methodology in order to best characterize the impact of lockdown on atmospheric chemistry. We find that a local decrease in traffic-related pollutants triggered a decrease of secondary aerosols and an increase in ozone.
Kevin Ohneiser, Albert Ansmann, Alexandra Chudnovsky, Ronny Engelmann, Christoph Ritter, Igor Veselovskii, Holger Baars, Henriette Gebauer, Hannes Griesche, Martin Radenz, Julian Hofer, Dietrich Althausen, Sandro Dahlke, and Marion Maturilli
Atmos. Chem. Phys., 21, 15783–15808, https://doi.org/10.5194/acp-21-15783-2021, https://doi.org/10.5194/acp-21-15783-2021, 2021
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The highlight of the lidar measurements during the 1-year MOSAiC (Multidisciplinary drifting Observatory for the Study of Arctic Climate) expedition of the German icebreaker Polarstern (October 2019–October 2020) was the detection of a persistent, 10 km deep Siberian wildfire smoke layer in the upper troposphere and lower stratosphere (UTLS) from about 7–8 km to 17–18 km height that could potentially have impacted the record-breaking ozone depletion over the Arctic in the spring of 2020.
Cited articles
Andreae, M. O., Browell, E. V., Garstang, M., Gregory, G., Harriss, R., Hill,
G., Jacob, D. J., Pereira, M., Sachse, G., Setzer, A., Silva Dias, P. L., Talbot, R. W., Torres, A. L., and Wofsy, S. C.:
Biomass-burning emissions and associated haze layers over Amazonia, J. Geophys. Res.-Atmos., 93, 1509–1527, 1988. a
Ansmann, A., Riebesell, M., Wandinger, U., Weitkamp, C., Voss, E., Lahmann, W.,
and Michaelis, W.: Combined Raman elastic-backscatter lidar for vertical
profiling of moisture, aerosol extinction, backscatter, and lidar ratio,
Appl. Phys. B, 55, 18–28, 1992. a
Ansmann, A., Baars, H., Chudnovsky, A., Mattis, I., Veselovskii, I., Haarig,
M., Seifert, P., Engelmann, R., and Wandinger, U.: Extreme levels of Canadian
wildfire smoke in the stratosphere over central Europe on 21–22 August 2017,
Atmos. Chem. Phys., 18, 11831–11845,
https://doi.org/10.5194/acp-18-11831-2018, 2018. a, b, c, d
Böckmann, C., Wandinger, U., Ansmann, A., Bösenberg, J., Amiridis, V.,
Boselli, A., Delaval, A., De Tomasi, F., Frioud, M., Grigorov, I. V.,
Hågård, A., Horvat, M., Iarlori, M., Komguem, L., Kreipl, S., Larchevêque,
G., Matthias, V., Papayannis, A., Pappalardo, G., Rocadenbosch, F., Rodrigues,
J. A., Schneider, J., Shcherbakov, V., and Wiegner, M.:
Aerosol lidar intercomparison in the framework of the EARLINET project. 2.
Aerosol backscatter algorithms, Appl. Optics, 43, 977–989, 2004. a
Bösenberg, J., Matthias, V., Linné, H., Comerón Tejero, A.,
Rocadenbosch Burillo, F., Pérez López, C., and Baldasano Recio,
J. M.: EARLINET: A European Aerosol Research Lidar Network to establish an
aerosol climatology, Report, Max-Planck-Institut für Meteorologie,
1–191, 2003. a
Bovchaliuk, V., Goloub, P., Podvin, T., Veselovskii, I., Tanre, D.,
Chaikovsky, A., Dubovik, O., Mortier, A., Lopatin, A., Korenskiy, M., and
Victori, S.: Comparison of aerosol properties retrieved using GARRLiC, LIRIC,
and Raman algorithms applied to multi-wavelength lidar and sun/sky-photometer
data, Atmos. Meas. Tech., 9, 3391–3405,
https://doi.org/10.5194/amt-9-3391-2016, 2016. a, b
Bravo-Aranda, J. A., Belegante, L., Freudenthaler, V., Alados-Arboledas, L.,
Nicolae, D., Granados-Muñoz, M. J., Guerrero-Rascado, J. L., Amodeo, A.,
D'Amico, G., Engelmann, R., Pappalardo, G., Kokkalis, P., Mamouri, R.,
Papayannis, A., Navas-Guzmán, F., Olmo, F. J., Wandinger, U., Amato, F.,
and Haeffelin, M.: Assessment of lidar depolarization uncertainty by means of
a polarimetric lidar simulator, Atmos. Meas. Tech., 9, 4935–4953,
https://doi.org/10.5194/amt-9-4935-2016, 2016. a
Bucholtz, A.: Rayleigh-scattering calculations for the terrestrial atmosphere,
Appl. Optics, 34, 2765–2773, 1995. a
Burton, S. P., Ferrare, R. A., Hostetler, C. A., Hair, J. W., Rogers, R. R.,
Obland, M. D., Butler, C. F., Cook, A. L., Harper, D. B., and Froyd, K. D.:
Aerosol classification using airborne High Spectral Resolution Lidar
measurements – methodology and examples, Atmos. Meas. Tech., 5, 73–98,
https://doi.org/10.5194/amt-5-73-2012, 2012. a, b, c
Burton, S. P., Hair, J. W., Kahnert, M., Ferrare, R. A., Hostetler, C. A.,
Cook, A. L., Harper, D. B., Berkoff, T. A., Seaman, S. T., Collins, J. E.,
Fenn, M. A., and Rogers, R. R.: Observations of the spectral dependence of
linear particle depolarization ratio of aerosols using NASA Langley airborne
High Spectral Resolution Lidar, Atmos. Chem. Phys., 15, 13453–13473,
https://doi.org/10.5194/acp-15-13453-2015, 2015. a, b, c, d
Derimian, Y., Dubovik, O., Huang, X., Lapyonok, T., Litvinov, P., Kostinski,
A. B., Dubuisson, P., and Ducos, F.: Comprehensive tool for calculation of
radiative fluxes: illustration of shortwave aerosol radiative effect
sensitivities to the details in aerosol and underlying surface
characteristics, Atmos. Chem. Phys., 16, 5763–5780,
https://doi.org/10.5194/acp-16-5763-2016, 2016. a
Deshler, T.: A review of global stratospheric aerosol: Measurements,
importance, life cycle, and local stratospheric aerosol, Atmos. Res., 90,
223–232, 2008. a
Dubovik, O., Sinyuk, A., Lapyonok, T., Holben, B. N., Mishchenko, M., Yang, P.,
Eck, T. F., Volten, H., Munoz, O., Veihelmann, B., Veihelmann, B., van der Zande, W.
J., Leon, J.-F., Sorokin, M., and Slutsker, I.: Application of
spheroid models to account for aerosol particle nonsphericity in remote
sensing of desert dust, J. Geophys. Res.-Atmos., 111, D11208, https://doi.org/10.1029/2005JD006619,
2006. a
Dubovik, O., Lapyonok, T., Litvinov, P., Herman, M., Fuertes, D., Ducos, F.,
Lopatin, A., Chaikovsky, A., Torres, B., Derimian, Y., Huang, X.,
Aspetsberger, M., and Federspiel, C.: GRASP: a
versatile algorithm for characterizing the atmosphere, SPIE Newsroom, 25,
https://doi.org/10.1117/2.1201408.005558, 2014. a
Fiebig, M., Petzold, A., Wandinger, U., Wendisch, M., Kiemle, C., Stifter, A.,
Ebert, M., Rother, T., and Leiterer, U.: Optical closure for an aerosol
column: Method, accuracy, and inferable properties applied to a
biomass-burning aerosol and its radiative forcing, J. Geophys. Res.-Atmos., 107,
LAC 12-1–LAC 12-15, https://doi.org/10.1029/2000JD000192, 2002. a
Freudenthaler, V.: About the effects of polarising optics on lidar signals
and the Δ90 calibration, Atmos. Meas. Tech., 9, 4181–4255,
https://doi.org/10.5194/amt-9-4181-2016, 2016. a
Freudenthaler, V., Esselborn, M., Wiegner, M., Heese, B., Tesche, M., Ansmann,
A., Müller, D., Althausen, D., Wirth, M., Fix, A., Ehret, G., Knippertz, P., Toledano,
C., Gasteiger, J., Garhammer, M., and Seefeldner, M.: Depolarization
ratio profiling at several wavelengths in pure Saharan dust during SAMUM
2006, Tellus B, 61, 165–179, 2009. a
Freudenthaler, V., Linné, H., Chaikovski, A., Rabus, D., and Groß, S.:
EARLINET lidar quality assurance tools, Atmos. Meas. Tech. Discuss.,
https://doi.org/10.5194/amt-2017-395, in review, 2018. a
Fromm, M., Alfred, J., Hoppel, K., Hornstein, J., Bevilacqua, R., Shettle, E.,
Servranckx, R., Li, Z., and Stocks, B.: Observations of boreal forest fire
smoke in the stratosphere by POAM III, SAGE II, and lidar in 1998,
Geophys. Res. Lett., 27, 1407–1410, 2000. a
Fromm, M., Bevilacqua, R., Servranckx, R., Rosen, J., Thayer, J. P., Herman,
J., and Larko, D.: Pyro-cumulonimbus injection of smoke to the stratosphere:
Observations and impact of a super blowup in northwestern Canada on 3–4
August 1998, J. Geophys. Res.-Atmos., 110, D08205, https://doi.org/10.1029/2004JD005350, 2005. a, b
Fromm, M., Shettle, E., Fricke, K., Ritter, C., Trickl, T., Giehl, H., Gerding,
M., Barnes, J., O'Neill, M., Massie, S., Blum, U., McDermid, I. S.,
Leblanc, T., and Deshler, T.: Stratospheric impact of the
Chisholm pyrocumulonimbus eruption: 2. Vertical profile perspective, J. Geophys. Res.-Atmos., 113, D08203,
https://doi.org/10.1029/2007jd009147, 2008. a
Fromm, M. D. and Servranckx, R.: Transport of forest fire smoke above the
tropopause by supercell convection, Geophys. Res. Lett., 30, https://doi.org/10.1029/2002gl016820, 2003. a
Haarig, M., Ansmann, A., Baars, H., Jimenez, C., Veselovskii, I., Engelmann,
R., and Althausen, D.: Depolarization and lidar ratios at 355, 532, and
1064 nm and microphysical properties of aged tropospheric and stratospheric
Canadian wildfire smoke, Atmos. Chem. Phys., 18, 11847–11861,
https://doi.org/10.5194/acp-18-11847-2018, 2018. a, b, c, d, e, f, g, h, i
Haeffelin, M., Barthès, L., Bock, O., Boitel, C., Bony, S., Bouniol, D.,
Chepfer, H., Chiriaco, M., Cuesta, J., Delanoë, J., Drobinski, P.,
Dufresne, J.-L., Flamant, C., Grall, M., Hodzic, A., Hourdin, F., Lapouge,
F., Lemaître, Y., Mathieu, A., Morille, Y., Naud, C., Noël, V.,
O'Hirok, W., Pelon, J., Pietras, C., Protat, A., Romand, B., Scialom, G., and
Vautard, R.: SIRTA, a ground-based atmospheric observatory for cloud and
aerosol research, Ann. Geophys., 23, 253–275,
https://doi.org/10.5194/angeo-23-253-2005, 2005. a
Haskins, R. and Kaplan, L.: Remote sensing of trace gases using the Atmospheric
InfraRed Sounder, in: IRS, 92, 278–281, 1992. a
Hofmann, D., Barnes, J., O'Neill, M., Trudeau, M., and Neely, R.: Increase in
background stratospheric aerosol observed with lidar at Mauna Loa Observatory
and Boulder, Colorado, Geophys. Res. Lett., 36, L15808, https://doi.org/10.1029/2009GL039008, 2009. a
Hsu, N. C., Herman, J., Torres, O., Holben, B., Tanre, D., Eck, T., Smirnov,
A., Chatenet, B., and Lavenu, F.: Comparisons of the TOMS aerosol index with
Sun-photometer aerosol optical thickness: Results and applications,
J. Geophys. Res.-Atmos., 104, 6269–6279, 1999. a
Jaross, G.: OMPS-NPP L3 NM Ozone (O3) Total Column 1.0 deg grid
daily V2,
Greenbelt, MD, USA, Goddard Earth Sciences Data and Information Services
Center (GES DISC), https://doi.org/10.5067/7Y7KSA1QNQP8, 2017. a
Kahn, B. H., Irion, F. W., Dang, V. T., Manning, E. M., Nasiri, S. L., Naud,
C. M., Blaisdell, J. M., Schreier, M. M., Yue, Q., Bowman, K. W., Fetzer, E.
J., Hulley, G. C., Liou, K. N., Lubin, D., Ou, S. C., Susskind, J., Takano,
Y., Tian, B., and Worden, J. R.: The Atmospheric Infrared Sounder version 6
cloud products, Atmos. Chem. Phys., 14, 399–426,
https://doi.org/10.5194/acp-14-399-2014, 2014. a
Kahnert, M., Nousiainen, T., Lindqvist, H., and Ebert, M.: Optical properties
of light absorbing carbon aggregates mixed with sulfate: assessment of
different model geometries for climate forcing calculations, Optics Exp.,
20, 10042–10058, 2012. a
Karol, Y., Tanré, D., Goloub, P., Vervaerde, C., Balois, J. Y., Blarel, L.,
Podvin, T., Mortier, A., and Chaikovsky, A.: Airborne sun photometer PLASMA:
concept, measurements, comparison of aerosol extinction vertical profile with
lidar, Atmos. Meas. Tech., 6, 2383–2389,
https://doi.org/10.5194/amt-6-2383-2013, 2013. a
Khaykin, S. M., Godin-Beekmann, S., Keckhut, P., Hauchecorne, A., Jumelet,
J., Vernier, J.-P., Bourassa, A., Degenstein, D. A., Rieger, L. A., Bingen,
C., Vanhellemont, F., Robert, C., DeLand, M., and Bhartia, P. K.: Variability
and evolution of the midlatitude stratospheric aerosol budget from 22 years
of ground-based lidar and satellite observations, Atmos. Chem. Phys., 17,
1829–1845, https://doi.org/10.5194/acp-17-1829-2017, 2017. a
Klett, J. D.: Lidar inversion with variable backscatter/extinction ratios,
Appl. Optics, 24, 1638–1643, 1985. a
Kremser, S., Thomason, L. W., 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, E. J.,
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. D.,
James, A., Rieger, L., Wilson, C. J., and Meland, B.: Stratospheric aerosol
– Observations, processes, and impact on climate, Rev. Geophys., 54,
278–335, 2016. a
Laat, A., Stein Zweers, D. C., and Boers, R.: A solar escalator: Observational
evidence of the self-lifting of smoke and aerosols by absorption of solar
radiation in the February 2009 Australian Black Saturday plume, J. Geophys. Res.-Atmos., 117,
D04204, https://doi.org/10.1029/2011JD017016, 2012. a
Lenoble, J., Herman, M., Deuzé, J., Lafrance, B., Santer, R., and
Tanré, D.: A successive order of scattering code for solving the vector
equation of transfer in the earth's atmosphere with aerosols, J.
Quant. Spectrosc. Ra., 107, 479–507, 2007. a
Lopatin, A., Dubovik, O., Chaikovsky, A., Goloub, P., Lapyonok, T., Tanré,
D., and Litvinov, P.: Enhancement of aerosol characterization using synergy
of lidar and sun-photometer coincident observations: the GARRLiC algorithm,
Atmos. Meas. Tech., 6, 2065–2088, https://doi.org/10.5194/amt-6-2065-2013,
2013. a
Luderer, G., Trentmann, J., Winterrath, T., Textor, C., Herzog, M., Graf, H.
F., and Andreae, M. O.: Modeling of biomass smoke injection into the lower
stratosphere by a large forest fire (Part II): sensitivity studies, Atmos.
Chem. Phys., 6, 5261–5277, https://doi.org/10.5194/acp-6-5261-2006, 2006. a
Mallet, M., Pont, V., Liousse, C., Gomes, L., Pelon, J., Osborne, S., Haywood,
J., Roger, J.-C., Dubuisson, P., Mariscal, A., Thouret, V., and Goloub, P.: Aerosol direct
radiative forcing over Djougou (northern Benin) during the African Monsoon
Multidisciplinary Analysis dry season experiment (Special Observation
Period-0), J. Geophys. Res.-Atmos., 113, D00C01, https://doi.org/10.1029/2007JD009419, 2008. a
Mamouri, R.-E. and Ansmann, A.: Potential of polarization/Raman lidar to
separate fine dust, coarse dust, maritime, and anthropogenic aerosol
profiles, Atmos. Meas. Tech., 10, 3403–3427,
https://doi.org/10.5194/amt-10-3403-2017, 2017. a
Matthais, V., Freudenthaler, V., Amodeo, A., Balin, I., Balis, D.,
Bösenberg, J., Chaikovsky, A., Chourdakis, G., Comeron, A., Delaval, A.,
De Tomasi, F., Eixmann, R., Hågård, A., Komguem, L., Kreipl, S.,
Matthey, R., Rizi, V., Rodrigues, J. A., Wandinger, U., and Wang, X.: Aerosol lidar
intercomparison in the framework of the EARLINET
project. 1. Instruments, Appl. Optics, 43, 961–976, 2004. a
McMillan, W., Barnet, C., Strow, L., Chahine, M., McCourt, M., Warner, J.,
Novelli, P., Korontzi, S., Maddy, E., and Datta, S.: Daily global maps of
carbon monoxide from NASA's Atmospheric Infrared Sounder, Geophys. Res. Lett., 32,
https://doi.org/10.1029/2004GL021821, 2005. a
McPeters, R. D., Bhartia, P., Krueger, A. J., Herman, J. R., Wellemeyer, C. G.,
Seftor, C. J., Byerly, W., and Celarier, E. A.: Total Ozone Mapping
Spectrometer (TOMS) Level-3 data products user's guide, available at:
https://ntrs.nasa.gov/archive/nasa/casi.ntrs.nasa.gov/20010044085.pdf (last access: 15 January 2019), 2000. a
Miffre, A., Mehri, T., Francis, M., and Rairoux, P.: UV–VIS depolarization
from Arizona Test Dust particles at exact backscattering angle, J.
Quant. Spectrosc. Ra., 169, 79–90, 2016. a
Miles, R. B., Lempert, W. R., and Forkey, J. N.: Laser rayleigh scattering,
Meas. Sci. Technol., 12, R33–R51, 2001. a
Mishchenko, M. I., Travis, L. D., Kahn, R. A., and West, R. A.: Modeling phase
functions for dustlike tropospheric aerosols using a shape mixture of
randomly oriented polydisperse spheroids, J. Geophys. Res.-Atmos., 102, 16831–16847, 1997. a
Mishchenko, M. I., Dlugach, J. M., and Liu, L.: Linear depolarization of lidar
returns by aged smoke particles, Appl. Optics, 55, 9968–9973, 2016. a
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, c, d, e
Müller, D., Ansmann, A., Mattis, I., Tesche, M., Wandinger, U., Althausen,
D., and Pisani, G.: Aerosol-type-dependent lidar ratios observed with Raman
lidar, J. Geophys. Res.-Atmos., 112, D16202, https://doi.org/10.1029/2006JD008292, 2007a. a
Müller, D., Mattis, I., Ansmann, A., Wandinger, U., Ritter, C., and Kaiser,
D.: Multiwavelength Raman lidar observations of particle growth during
long-range transport of forest-fire smoke in the free troposphere,
Geophys. Res. Lett., 34, L05803, https://doi.org/10.1029/2006GL027936, 2007b. a, b
Murayama, T., Müller, D., Wada, K., Shimizu, A., Sekiguchi, M., and
Tsukamoto, T.: Characterization of Asian dust and Siberian smoke with
multi-wavelength Raman lidar over Tokyo, Japan in spring 2003, Geophys. Res. Lett., 31, L23103,
https://doi.org/10.1029/2004GL021105, 2004. a, b, c
Nicolae, D., Nemuc, A., Müller, D., Talianu, C., Vasilescu, J., Belegante,
L., and Kolgotin, A.: Characterization of fresh and aged biomass burning
events using multiwavelength Raman lidar and mass spectrometry, J. Geophys. Res.-Atmos., 118, 2956–2965, 2013. a
O'Neill, N., Eck, T., Holben, B., Smirnov, A., Royer, A., and Li, Z.: Optical
properties of boreal forest fire smoke derived from Sun photometry, J. Geophys. Res.-Atmos., 107,
AAC 6-1–AAC 6-14, 2002. a
Papayannis, A., Amiridis, V., Mona, L., Tsaknakis, G., Balis, D.,
Bösenberg, J., Chaikovski, A., De Tomasi, F., Grigorov, I., Mattis, I.,
Mitev, V and Mueller, Detlef and Nickovic, S and Perez, C and Pietruczuk, A
and Pisani, G., Ravetta, F., Rizi, V., Sicard, M., Trickl, T., Wiegner, M.,
Gerding, M., and Mamouri, R. E.: Systematic lidar observations of Saharan
dust over Europe in the
frame of EARLINET (2000–2002), J. Geophys. Res.-Atmos.,
113, D10204, https://doi.org/10.1029/2007JD009028, 2008. a
Pappalardo, G., Amodeo, A., Apituley, A., Comeron, A., Freudenthaler, V.,
Linné, H., Ansmann, A., Bösenberg, J., D'Amico, G., Mattis, I., Mona, L.,
Wandinger, U., Amiridis, V., Alados-Arboledas, L., Nicolae, D., and Wiegner,
M.: EARLINET: towards an advanced sustainable European aerosol lidar network,
Atmos. Meas. Tech., 7, 2389–2409, https://doi.org/10.5194/amt-7-2389-2014, 2014. a
Pérez-Ramírez, D., Whiteman, D. N., Veselovskii, I., Kolgotin, A.,
Korenskiy, M., and Alados-Arboledas, L.: Effects of systematic and random
errors on the retrieval of particle microphysical properties from
multiwavelength lidar measurements using inversion with regularization,
Atmos. Meas. Tech., 6, 3039–3054, https://doi.org/10.5194/amt-6-3039-2013,
2013. a
Platt, C.: Lidar and radiometric observations of cirrus clouds, J. Atmos.
Sci., 30, 1191–1204, 1973. a
Popovici, I. E., Goloub, P., Podvin, T., Blarel, L., Loisil, R., Unga, F.,
Mortier, A., Deroo, C., Victori, S., Ducos, F., Torres, B., Delegove, C.,
Choël, M., Pujol-Söhne, N., and Pietras, C.: Description and applications
of a mobile system performing on-road aerosol remote sensing and in situ
measurements, Atmos. Meas. Tech., 11, 4671–4691,
https://doi.org/10.5194/amt-11-4671-2018, 2018. a
Sakai, T., Nagai, T., Zaizen, Y., and Mano, Y.: Backscattering linear
depolarization ratio measurements of mineral, sea-salt, and ammonium sulfate
particles simulated in a laboratory chamber, Appl. Optics, 49, 4441–4449,
2010. a
Sassen, K., Liou, K. N., Kinne, S., and Griffin, M.: Highly supercooled cirrus
cloud water: Confirmation and climatic implications, Science, 227, 411–413,
1985. a
Seftor, C., Jaross, G., Kowitt, M., Haken, M., Li, J., and Flynn, L.:
Postlaunch performance of the Suomi National Polar-orbiting Partnership Ozone
Mapping and Profiler Suite (OMPS) nadir sensors, J. Geophys. Res.-Atmos., 119, 4413–4428, 2014. a
Shepherd, T. G.: Transport in the middle atmosphere, J.
Meteorol. Soc. Jpn., 85, 165–191, 2007. a
Susskind, J., Blaisdell, J. M., and Iredell, L.: Improved methodology for
surface and atmospheric soundings, error estimates, and quality control
procedures: the atmospheric infrared sounder science team version-6 retrieval
algorithm, J. Appl. Remote Sens., 8, 084994, https://doi.org/10.1117/1.JRS.8.084994, 2014. a
Taubman, B. F., Marufu, L. T., Vant-Hull, B. L., Piety, C. A., Doddridge,
B. G., Dickerson, R. R., and Li, Z.: Smoke over haze: Aircraft observations
of chemical and optical properties and the effects on heating rates and
stability, J. Geophys. Res.-Atmos., 109, 084994-1–084994-33, https://doi.org/10.1117/1.JRS.8.084994, 2004. a
Texeira, A. S. T.: AIRS/Aqua L3 Daily Standard Physical Retrieval (AIRS-only)
1 degree × 1 degree V006, Greenbelt, MD, USA, Goddard Earth Sciences Data and
Information Services Center (GES DISC), https://doi.org/10.5067/Aqua/AIRS/DATA303,
2013.
a
Trentmann, J., Luderer, G., Winterrath, T., Fromm, M. D., Servranckx, R.,
Textor, C., Herzog, M., Graf, H.-F., and Andreae, M. O.: Modeling of biomass
smoke injection into the lower stratosphere by a large forest fire (Part I):
reference simulation, Atmos. Chem. Phys., 6, 5247–5260,
https://doi.org/10.5194/acp-6-5247-2006, 2006. a
Vallero, D.: Fundamentals of air pollution, Academic Press, 814 pp.,
available at: https://books.google.fr/books?hl=en&lr=&id=iFcXAwAAQBAJ&oi=fnd&pg=PP1&dq=Fundamentals+of+air+pollution+vallero&ots=rfJer-585s&sig=6N7KMdclAy3x6qPn3YbPA-eoXtg#v=onepage&q=Fundamentals%
20of%
20air%
20pollution%
20vallero&f=false (last access: 16 January 2019), 2014. a
Veselovskii, I., Dubovik, O., Kolgotin, A., Lapyonok, T., Di Girolamo, P.,
Summa, D., Whiteman, D. N., Mishchenko, M., and Tanré, D.: Application of
randomly oriented spheroids for retrieval of dust particle parameters from
multiwavelength lidar measurements, J. Geophys. Res.-Atmos., 115, D21203,
https://doi.org/10.1029/2010JD014139, 2010. a, b
Veselovskii, I., Goloub, P., Podvin, T., Bovchaliuk, V., Derimian, Y.,
Augustin, P., Fourmentin, M., Tanre, D., Korenskiy, M., Whiteman, D. N.,
Diallo, A., Ndiaye, T., Kolgotin, A., and Dubovik, O.: Retrieval of optical
and physical properties of African dust from multiwavelength Raman lidar
measurements during the SHADOW campaign in Senegal, Atmos. Chem. Phys., 16,
7013–7028, https://doi.org/10.5194/acp-16-7013-2016, 2016. a
Veselovskii, I., Goloub, P., Podvin, T., Tanre, D., Ansmann, A., Korenskiy, M.,
Borovoi, A., Hu, Q., and Whiteman, D.: Spectral dependence of backscattering
coefficient of mixed phase clouds over West Africa measured with
two-wavelength Raman polarization lidar: Features attributed to ice-crystals
corner reflection, J. Quant. Spectrosc. Ra., 202, 74–80, 2017. a
Wandinger, U., Müller, D., Böckmann, C., Althausen, D., Matthias, V.,
Bösenberg, J., Weiß, V., Fiebig, M., Wendisch, M., Stohl, A., et al.:
Optical and microphysical characterization of biomass-burning and
industrial-pollution aerosols from-multiwavelength lidar and aircraft
measurements, J. Geophys. Res.-Atmos., 107, LAC 7-1–LAC 7-20, https://doi.org/10.1029/2000JD000202, 2002. a, b, c, d
Young, S. A.: Analysis of lidar backscatter profiles in optically thin clouds,
Appl. Optics, 34, 7019–7031, 1995. a
Zuev, V. V., Burlakov, V. D., Nevzorov, A. V., Pravdin, V. L., Savelieva, E.
S., and Gerasimov, V. V.: 30-year lidar observations of the stratospheric
aerosol layer state over Tomsk (Western Siberia, Russia), Atmos. Chem. Phys.,
17, 3067–3081, https://doi.org/10.5194/acp-17-3067-2017, 2017. a
Short summary
Smoke plumes generated in Canadian fire activities were elevated to the lower stratosphere and transported from North America to Europe. The smoke plumes were observed by three lidar systems in northern France. This study provides a comprehensive characterization for aged smoke aerosols at high altitude using lidar observations. It presents that fire activities on the Earth's surface can be an important contributor of stratospheric aerosols and impact the Earth's radiation budget.
Smoke plumes generated in Canadian fire activities were elevated to the lower stratosphere and...
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