Articles | Volume 14, issue 11
https://doi.org/10.5194/amt-14-7153-2021
© Author(s) 2021. 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-14-7153-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
16 Nov 2021
Research article |
| 16 Nov 2021
| 16 Nov 2021
Methodology to obtain highly resolved SO2 vertical profiles for representation of volcanic emissions in climate models
Oscar S. Sandvik
Department of Physics, Lund University, Lund, 22100, Sweden
Johan Friberg
CORRESPONDING AUTHOR
Department of Physics, Lund University, Lund, 22100, Sweden
Moa K. Sporre
Department of Physics, Lund University, Lund, 22100, Sweden
Bengt G. Martinsson
Department of Physics, Lund University, Lund, 22100, Sweden
Related authors
Bengt G. Martinsson, Johan Friberg, Oscar S. Sandvik, and Moa K. Sporre
Atmos. Chem. Phys., 22, 3967–3984, https://doi.org/10.5194/acp-22-3967-2022, https://doi.org/10.5194/acp-22-3967-2022, 2022
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Large amounts of wildfire smoke reached the stratosphere in 2017. The literature on stratospheric aerosol is mainly based on horizontally viewing sensors that saturate in dense smoke. Using also a vertically viewing sensor with orders of magnitude shorter path in the smoke, we show that the horizontally viewing sensors miss a dramatic exponential decline of the aerosol load with a half-life of 10 d, where 80 %–90 % of smoke is lost. We attribute the decline to photolytic loss of organic aerosol.
Johan Friberg, Bengt G. Martinsson, Sandra M. Andersson, and Oscar S. Sandvik
Atmos. Chem. Phys., 18, 11149–11169, https://doi.org/10.5194/acp-18-11149-2018, https://doi.org/10.5194/acp-18-11149-2018, 2018
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During 2006–2015 volcanism contributed 40 % of the stratospheric aerosol load. We compute the AOD (aerosol optical depth) of the stratosphere (from the tropopause to 35 km altitude) using new techniques of handling CALIOP data. Regional and global AODs are presented for the entire stratosphere in relation to transport patterns, and the AOD is presented for three stratospheric layers: the LMS, the potential temperature range of 380 to 470 K, and altitudes above the 470 K isentrope.
Bengt G. Martinsson, Johan Friberg, Oscar S. Sandvik, Markus Hermann, Peter F. J. van Velthoven, and Andreas Zahn
Atmos. Chem. Phys., 17, 10937–10953, https://doi.org/10.5194/acp-17-10937-2017, https://doi.org/10.5194/acp-17-10937-2017, 2017
Short summary
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We find that the aerosol of the lowermost stratosphere has a considerable climate forcing. The upper tropospheric (UT) particulate sulfur is strongly influenced by stratospheric sources the first half of the year, whereas tropospheric sources dominate in fall; 50 % of the UT particulate sulfur (S) was found to be stratospheric at background condition, and 70 % under moderate influence from volcanism. The Asian monsoon is found to be an important tropospheric source of S in the NH extratropical UT.
Carl Svenhag, Pontus Roldin, Tinja Olenius, Robin Wollesen de Jonge, Sara Blichner, Daniel Yazgi, and Moa Sporre
EGUsphere, https://doi.org/10.5194/egusphere-2024-3626, https://doi.org/10.5194/egusphere-2024-3626, 2024
This preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).
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This study investigates the model representation of how particles are formed and grow in the atmosphere. Using modeled and observed data from two boreal forest stations in 2018, we identify key factors for NPF to improve particle-climate predictions in the global EC-Earth3 model. Comparisons with the detailed ADCHEM model show that adding ammonia improves particle growth predictions, though EC-Earth3 still highly underestimates the number of particles during warmer months.
Carl Svenhag, Moa K. Sporre, Tinja Olenius, Daniel Yazgi, Sara M. Blichner, Lars P. Nieradzik, and Pontus Roldin
Geosci. Model Dev., 17, 4923–4942, https://doi.org/10.5194/gmd-17-4923-2024, https://doi.org/10.5194/gmd-17-4923-2024, 2024
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Our research shows the importance of modeling new particle formation (NPF) and growth of particles in the atmosphere on a global scale, as they influence the outcomes of clouds and our climate. With the global model EC-Earth3 we show that using a new method for NPF modeling, which includes new detailed processes with NH3 and H2SO4, significantly impacts the number of particles in the air and clouds and changes the radiation balance of the same magnitude as anthropogenic greenhouse emissions.
Emma Axebrink, Moa K. Sporre, and Johan Friberg
EGUsphere, https://doi.org/10.5194/egusphere-2024-1448, https://doi.org/10.5194/egusphere-2024-1448, 2024
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We investigate the importance of using high vertical resolution (HR) SO2 data when simulating a volcanic eruptions’ impact on the stratospheric aerosol load and climate, using WACCM, and compare simulations with aerosol observations from CALIOP. Simulations with HR SO2 data match the observations well, whereas simulations with the model’s default low-resolution (LR) data underestimates the aerosol load by ~50 %. The resulting climate cooling is twice as high for the HR than the LR SO2 data.
Johan Friberg, Bengt G. Martinsson, and Moa K. Sporre
Atmos. Chem. Phys., 23, 12557–12570, https://doi.org/10.5194/acp-23-12557-2023, https://doi.org/10.5194/acp-23-12557-2023, 2023
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We study the short- and long-term stratospheric impact of smoke from the massive Australian wildfires in Dec 2019–Jan 2020 using four satellite sensors. Smoke entered the stratosphere rapidly via transport by firestorms, as well as weeks after the fires. The smoke particle properties evolved over time together with rapidly decreasing stratospheric aerosol load, suggesting photolytic loss of organics in the smoke particles. The depletion rate was estimated to a half-life (e folding) of 10 (14) d.
Bengt G. Martinsson, Johan Friberg, Oscar S. Sandvik, and Moa K. Sporre
Atmos. Chem. Phys., 22, 3967–3984, https://doi.org/10.5194/acp-22-3967-2022, https://doi.org/10.5194/acp-22-3967-2022, 2022
Short summary
Short summary
Large amounts of wildfire smoke reached the stratosphere in 2017. The literature on stratospheric aerosol is mainly based on horizontally viewing sensors that saturate in dense smoke. Using also a vertically viewing sensor with orders of magnitude shorter path in the smoke, we show that the horizontally viewing sensors miss a dramatic exponential decline of the aerosol load with a half-life of 10 d, where 80 %–90 % of smoke is lost. We attribute the decline to photolytic loss of organic aerosol.
Sara Marie Blichner, Moa Kristina Sporre, and Terje Koren Berntsen
Atmos. Chem. Phys., 21, 17243–17265, https://doi.org/10.5194/acp-21-17243-2021, https://doi.org/10.5194/acp-21-17243-2021, 2021
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In this study we quantify how a new way of modeling the formation of new particles in the atmosphere affects the estimated cooling from aerosol–cloud interactions since pre-industrial times. Our improved scheme merges two common approaches to aerosol modeling: a sectional scheme for treating early growth and the pre-existing modal scheme in NorESM. We find that the cooling from aerosol–cloud interactions since pre-industrial times is reduced by 10 % when the new scheme is used.
Sara M. Blichner, Moa K. Sporre, Risto Makkonen, and Terje K. Berntsen
Geosci. Model Dev., 14, 3335–3359, https://doi.org/10.5194/gmd-14-3335-2021, https://doi.org/10.5194/gmd-14-3335-2021, 2021
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Aerosol–cloud interactions are the largest contributor to climate forcing uncertainty. In this study we combine two common approaches to aerosol representation in global models: a sectional scheme, which is closer to first principals, for the smallest particles forming in the atmosphere and a log-modal scheme, which is faster, for the larger particles. With this approach, we improve the aerosol representation compared to observations, while only increasing the computational cost by 15 %.
Stina Ausmeel, Axel Eriksson, Erik Ahlberg, Moa K. Sporre, Mårten Spanne, and Adam Kristensson
Atmos. Chem. Phys., 20, 9135–9151, https://doi.org/10.5194/acp-20-9135-2020, https://doi.org/10.5194/acp-20-9135-2020, 2020
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Emissions from shipping have an impact on air quality, especially in coastal areas. We have measured properties of the airborne particles in several plumes from ships that are sailing within an Emission Control Area. Individual ships showed large variability in contribution to total particle mass and nitrogen dioxide. Organics and sulfate dominated the particle mass, and most plumes contained very little or no soot. We also present recommendations for future stationary ship plume measurements.
Moa K. Sporre, Sara M. Blichner, Roland Schrödner, Inger H. H. Karset, Terje K. Berntsen, Twan van Noije, Tommi Bergman, Declan O'Donnell, and Risto Makkonen
Atmos. Chem. Phys., 20, 8953–8973, https://doi.org/10.5194/acp-20-8953-2020, https://doi.org/10.5194/acp-20-8953-2020, 2020
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We investigate how emissions and parameters in current
SOA parameterisations in three ESMs affect both the resulting SOA in the models and the impact this has on climate through the direct and indirect aerosol effects. The SOA changes induce very different responses in the models, especially in terms of the indirect aerosol effect. This introduces uncertainties in ESM estimates of SOA climate impact through feedbacks in a warming climate and through anthropogenic land use change.
Giulia Saponaro, Moa K. Sporre, David Neubauer, Harri Kokkola, Pekka Kolmonen, Larisa Sogacheva, Antti Arola, Gerrit de Leeuw, Inger H. H. Karset, Ari Laaksonen, and Ulrike Lohmann
Atmos. Chem. Phys., 20, 1607–1626, https://doi.org/10.5194/acp-20-1607-2020, https://doi.org/10.5194/acp-20-1607-2020, 2020
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The understanding of cloud processes is based on the quality of the representation of cloud properties. We compared cloud parameters from three models with satellite observations. We report on the performance of each data source, highlighting strengths and deficiencies, which should be considered when deriving the effect of aerosols on cloud properties.
Moa K. Sporre, Sara M. Blichner, Inger H. H. Karset, Risto Makkonen, and Terje K. Berntsen
Atmos. Chem. Phys., 19, 4763–4782, https://doi.org/10.5194/acp-19-4763-2019, https://doi.org/10.5194/acp-19-4763-2019, 2019
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In this study, an Earth system model has been used to investigate climate feedbacks associated with increasing BVOC emissions due to higher CO2 concentrations and temperatures. Higher BVOC emissions associated with a changed climate are found to induce an important negative climate feedback through increased aerosol formation and resulting changes in cloud properties. This feedback is found to have the potential to offset about 13 % of the radiative forcing associated with a doubling of CO2.
Franz Slemr, Andreas Weigelt, Ralf Ebinghaus, Johannes Bieser, Carl A. M. Brenninkmeijer, Armin Rauthe-Schöch, Markus Hermann, Bengt G. Martinsson, Peter van Velthoven, Harald Bönisch, Marco Neumaier, Andreas Zahn, and Helmut Ziereis
Atmos. Chem. Phys., 18, 12329–12343, https://doi.org/10.5194/acp-18-12329-2018, https://doi.org/10.5194/acp-18-12329-2018, 2018
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Total and elemental mercury were measured in the upper troposphere and lower stratosphere onboard a passenger aircraft. Their concentrations in the upper troposphere were comparable implying low concentrations of oxidized mercury in this region. Large scale seasonally dependent influence of emissions from biomass burning was also observed. Their distributions in the lower stratosphere implies a long stratospheric lifetime, which precludes significant mercury oxidation by ozone.
Johan Friberg, Bengt G. Martinsson, Sandra M. Andersson, and Oscar S. Sandvik
Atmos. Chem. Phys., 18, 11149–11169, https://doi.org/10.5194/acp-18-11149-2018, https://doi.org/10.5194/acp-18-11149-2018, 2018
Short summary
Short summary
During 2006–2015 volcanism contributed 40 % of the stratospheric aerosol load. We compute the AOD (aerosol optical depth) of the stratosphere (from the tropopause to 35 km altitude) using new techniques of handling CALIOP data. Regional and global AODs are presented for the entire stratosphere in relation to transport patterns, and the AOD is presented for three stratospheric layers: the LMS, the potential temperature range of 380 to 470 K, and altitudes above the 470 K isentrope.
Johan Martinsson, Guillaume Monteil, Moa K. Sporre, Anne Maria Kaldal Hansen, Adam Kristensson, Kristina Eriksson Stenström, Erik Swietlicki, and Marianne Glasius
Atmos. Chem. Phys., 17, 11025–11040, https://doi.org/10.5194/acp-17-11025-2017, https://doi.org/10.5194/acp-17-11025-2017, 2017
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This study attempts to link observations of biogenic organic compounds found in atmospheric particles to landscape exposure of the incoming air mass. The results revealed that several of the observed compounds were connected to exposure of coniferous forests. There were also a number of landscape types that did not contribute to the biogenic organic compounds, sea and ocean as an example. This type of methodology may be important in order to study land use changes impact on air quality.
Bengt G. Martinsson, Johan Friberg, Oscar S. Sandvik, Markus Hermann, Peter F. J. van Velthoven, and Andreas Zahn
Atmos. Chem. Phys., 17, 10937–10953, https://doi.org/10.5194/acp-17-10937-2017, https://doi.org/10.5194/acp-17-10937-2017, 2017
Short summary
Short summary
We find that the aerosol of the lowermost stratosphere has a considerable climate forcing. The upper tropospheric (UT) particulate sulfur is strongly influenced by stratospheric sources the first half of the year, whereas tropospheric sources dominate in fall; 50 % of the UT particulate sulfur (S) was found to be stratospheric at background condition, and 70 % under moderate influence from volcanism. The Asian monsoon is found to be an important tropospheric source of S in the NH extratropical UT.
Johan Martinsson, Hafiz Abdul Azeem, Moa K. Sporre, Robert Bergström, Erik Ahlberg, Emilie Öström, Adam Kristensson, Erik Swietlicki, and Kristina Eriksson Stenström
Atmos. Chem. Phys., 17, 4265–4281, https://doi.org/10.5194/acp-17-4265-2017, https://doi.org/10.5194/acp-17-4265-2017, 2017
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In this study we have focused our attention on the sources atmospheric carbon particles. More specifically, we evaluate a fast and inexpensive method which determines the source of these particles by utilizing light absorption by the particles. We found that this method is suitable for source estimation by comparing it to another method based on carbon isotopes and chemical tracer molecules. Cheap and fast methods based on light absorption can be utilized widely to deduce particle sources.
Moa K. Sporre, Ewan J. O'Connor, Nina Håkansson, Anke Thoss, Erik Swietlicki, and Tuukka Petäjä
Atmos. Meas. Tech., 9, 3193–3203, https://doi.org/10.5194/amt-9-3193-2016, https://doi.org/10.5194/amt-9-3193-2016, 2016
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Satellite measurements of cloud top height and liquid water path are compared to ground-based remote sensing to evaluate the satellite retrievals. The overall performance of the satellite retrievals of cloud top height are good, but they become more problematic when several layers of clouds are present. The liquid water path retrievals also agree well, and the average differences are within the estimated measurement uncertainties.
M. K. Sporre, E. Swietlicki, P. Glantz, and M. Kulmala
Atmos. Chem. Phys., 14, 12167–12179, https://doi.org/10.5194/acp-14-12167-2014, https://doi.org/10.5194/acp-14-12167-2014, 2014
B. G. Martinsson, J. Friberg, S. M. Andersson, A. Weigelt, M. Hermann, D. Assmann, J. Voigtländer, C. A. M. Brenninkmeijer, P. J. F. van Velthoven, and A. Zahn
Atmos. Meas. Tech., 7, 2581–2596, https://doi.org/10.5194/amt-7-2581-2014, https://doi.org/10.5194/amt-7-2581-2014, 2014
M. I. A. Berghof, G. P. Frank, S. Sjogren, and B. G. Martinsson
Atmos. Meas. Tech., 7, 877–886, https://doi.org/10.5194/amt-7-877-2014, https://doi.org/10.5194/amt-7-877-2014, 2014
M. K. Sporre, E. Swietlicki, P. Glantz, and M. Kulmala
Atmos. Chem. Phys., 14, 2203–2217, https://doi.org/10.5194/acp-14-2203-2014, https://doi.org/10.5194/acp-14-2203-2014, 2014
S. M. Andersson, B. G. Martinsson, J. Friberg, C. A. M. Brenninkmeijer, A. Rauthe-Schöch, M. Hermann, P. F. J. van Velthoven, and A. Zahn
Atmos. Chem. Phys., 13, 1781–1796, https://doi.org/10.5194/acp-13-1781-2013, https://doi.org/10.5194/acp-13-1781-2013, 2013
S. Sjogren, G. P. Frank, M. I. A. Berghof, and B. G. Martinsson
Atmos. Meas. Tech., 6, 349–357, https://doi.org/10.5194/amt-6-349-2013, https://doi.org/10.5194/amt-6-349-2013, 2013
Related subject area
Subject: Aerosols | Technique: Remote Sensing | Topic: Data Processing and Information Retrieval
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Atmos. Meas. Tech., 17, 6677–6695, https://doi.org/10.5194/amt-17-6677-2024, https://doi.org/10.5194/amt-17-6677-2024, 2024
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Robert A. Ryan, Mark A. Vaughan, Sharon D. Rodier, Jason L. Tackett, John A. Reagan, Richard A. Ferrare, Johnathan W. Hair, John A. Smith, and Brian J. Getzewich
Atmos. Meas. Tech., 17, 6517–6545, https://doi.org/10.5194/amt-17-6517-2024, https://doi.org/10.5194/amt-17-6517-2024, 2024
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Annachiara Bellini, Henri Diémoz, Luca Di Liberto, Gian Paolo Gobbi, Alessandro Bracci, Ferdinando Pasqualini, and Francesca Barnaba
Atmos. Meas. Tech., 17, 6119–6144, https://doi.org/10.5194/amt-17-6119-2024, https://doi.org/10.5194/amt-17-6119-2024, 2024
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We provide a comprehensive overview of the Italian Automated LIdar-CEilometer network, ALICENET, describing its infrastructure, aerosol retrievals, and main applications. The supplement covers data-processing details. We include examples of output products, comparisons with independent data, and examples of the network capability to provide near-real-time aerosol fields over Italy. ALICENET is expected to benefit the sectors of air quality, radiative budget/solar energy, and aviation safety.
Andrea Porcheddu, Ville Kolehmainen, Timo Lähivaara, and Antti Lipponen
Atmos. Meas. Tech., 17, 5747–5764, https://doi.org/10.5194/amt-17-5747-2024, https://doi.org/10.5194/amt-17-5747-2024, 2024
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This study focuses on improving the accuracy of satellite-based PM2.5 retrieval, crucial for monitoring air quality and its impact on health. It employs machine learning to correct the AOD-to-PM2.5 conversion ratio using various data sources. The approach produces high-resolution PM2.5 estimates with improved accuracy. The method is flexible and can incorporate additional training data from different sources, making it a valuable tool for air quality monitoring and epidemiological studies.
Pawan Gupta, Robert C. Levy, Shana Mattoo, Lorraine A. Remer, Zhaohui Zhang, Virginia Sawyer, Jennifer Wei, Sally Zhao, Min Oo, V. Praju Kiliyanpilakkil, and Xiaohua Pan
Atmos. Meas. Tech., 17, 5455–5476, https://doi.org/10.5194/amt-17-5455-2024, https://doi.org/10.5194/amt-17-5455-2024, 2024
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In this study, for the first time, we combined aerosol data from six satellites using a unified algorithm. The global datasets are generated at a high spatial resolution of about 25 km with an interval of 30 min. The new datasets are compared against ground truth and verified. They will be useful for various applications such as air quality monitoring, climate research, pollution diurnal variability, long-range smoke and dust transport, and evaluation of regional and global models.
Lijuan Chen, Ren Wang, Ying Fei, Peng Fang, Yong Zha, and Haishan Chen
Atmos. Meas. Tech., 17, 4411–4424, https://doi.org/10.5194/amt-17-4411-2024, https://doi.org/10.5194/amt-17-4411-2024, 2024
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This study explores the problems of surface reflectance estimation from previous MISR satellite remote sensing images and develops an error correction model to obtain a higher-precision aerosol optical depth (AOD) product. High-accuracy AOD is important not only for the daily monitoring of air pollution but also for the study of energy exchange between land and atmosphere. This will help further improve the retrieval accuracy of multi-angle AOD on large spatial scales and for long time series.
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.
Yeseul Cho, Jhoon Kim, Sujung Go, Mijin Kim, Seoyoung Lee, Minseok Kim, Heesung Chong, Won-Jin Lee, Dong-Won Lee, Omar Torres, and Sang Seo Park
Atmos. Meas. Tech., 17, 4369–4390, https://doi.org/10.5194/amt-17-4369-2024, https://doi.org/10.5194/amt-17-4369-2024, 2024
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Aerosol optical properties have been provided by the Geostationary Environment Monitoring Spectrometer (GEMS), the world’s first geostationary-Earth-orbit (GEO) satellite instrument designed for atmospheric environmental monitoring. This study describes improvements made to the GEMS aerosol retrieval algorithm (AERAOD) and presents its validation results. These enhancements aim to provide more accurate and reliable aerosol-monitoring results for Asia.
Minseok Kim, Jhoon Kim, Hyunkwang Lim, Seoyoung Lee, Yeseul Cho, Yun-Gon Lee, Sujung Go, and Kyunghwa Lee
Atmos. Meas. Tech., 17, 4317–4335, https://doi.org/10.5194/amt-17-4317-2024, https://doi.org/10.5194/amt-17-4317-2024, 2024
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Information about aerosol loading in the atmosphere can be collected from various satellite instruments. Aerosol products from various satellite instruments have their own error characteristics. This study statistically merged aerosol optical depth datasets from multiple instruments aboard geostationary satellites considering uncertainties. Also, a deep neural network technique is adopted for aerosol data merging.
Christine Pohl, Felix Wrana, Alexei Rozanov, Terry Deshler, Elizaveta Malinina, Christian von Savigny, Landon A. Rieger, Adam E. Bourassa, and John P. Burrows
Atmos. Meas. Tech., 17, 4153–4181, https://doi.org/10.5194/amt-17-4153-2024, https://doi.org/10.5194/amt-17-4153-2024, 2024
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Knowledge of stratospheric aerosol characteristics is important for understanding chemical and climate aerosol feedbacks. Two particle size distribution parameters, the aerosol extinction coefficient and the effective radius, are obtained from SCIAMACHY limb observations. The aerosol characteristics show good agreement with independent data sets from balloon-borne and satellite observations. This data set expands the limited knowledge of stratospheric aerosol characteristics.
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.
Fred Prata
Atmos. Meas. Tech., 17, 3751–3764, https://doi.org/10.5194/amt-17-3751-2024, https://doi.org/10.5194/amt-17-3751-2024, 2024
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Geostationary satellite data have been used to measure the stratospheric aerosols from the explosive Hunga volcanic eruption by using the data in a novel way. The onboard imager views part of the Earth's limb and data from this region were analysed to generate vertical cross-sections of aerosols high in the atmosphere. The analyses show the hemispheric spread of the aerosols and their vertical structure in layers from 22–28 km in the stratosphere.
Emmanouil Proestakis, Antonis Gkikas, Thanasis Georgiou, Anna Kampouri, Eleni Drakaki, Claire L. Ryder, Franco Marenco, Eleni Marinou, and Vassilis Amiridis
Atmos. Meas. Tech., 17, 3625–3667, https://doi.org/10.5194/amt-17-3625-2024, https://doi.org/10.5194/amt-17-3625-2024, 2024
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A new four-dimensional, multiyear, and near-global climate data record of the fine-mode (submicrometer diameter) and coarse-mode (supermicrometer diameter) components of atmospheric pure dust is presented. The dataset is considered unique with respect to a wide range of potential applications, including climatological, time series, and trend analysis over extensive geographical domains and temporal periods, validation of atmospheric dust models and datasets, and air quality.
Jade Low, Roger Teoh, Joel Ponsonby, Edward Gryspeerdt, Marc Shapiro, and Marc Stettler
EGUsphere, https://doi.org/10.5194/egusphere-2024-1458, https://doi.org/10.5194/egusphere-2024-1458, 2024
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The radiative forcing due to contrails is the same order of magnitude as aviation CO2 emissions yet has a higher uncertainty. Observations are vital to improve understanding of the contrail lifecycle, to improve model and to measure the effect of mitigation action. Here, we use ground-based cameras combined with flight telemetry to track visible contrails and measure their lifetime and width. We evaluate model predictions and demonstrate the capability of this approach.
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.
Kabseok Ko, Seokheon Cho, and Ramesh R. Rao
Atmos. Meas. Tech., 17, 3303–3322, https://doi.org/10.5194/amt-17-3303-2024, https://doi.org/10.5194/amt-17-3303-2024, 2024
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In our study, we examined how NO2, temperature, and relative humidity influence the calibration of PurpleAir PA-II sensors. We found that incorporating NO2 data from collocated reliable instruments enhances PM2.5 calibration performance. Due to the impracticality of collocating reliable NO2 instruments with sensors, we suggest using distant NO2 data for calibration. We demonstrated that performance improves when distant NO2 correlates highly with collocated NO2 measurements.
Daniel J. V. Robbins, Caroline A. Poulsen, Steven T. Siems, Simon R. Proud, Andrew T. Prata, Roy G. Grainger, and Adam C. Povey
Atmos. Meas. Tech., 17, 3279–3302, https://doi.org/10.5194/amt-17-3279-2024, https://doi.org/10.5194/amt-17-3279-2024, 2024
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Extreme wildfire events are becoming more common with climate change. The smoke plumes associated with these wildfires are not captured by current operational satellite products due to their high optical thickness. We have developed a novel aerosol retrieval for the Advanced Himawari Imager to study these plumes. We find very high values of optical thickness not observed in other operational satellite products, suggesting these plumes have been missed in previous studies.
Viktoria F. Sofieva, Monika Szelag, Johanna Tamminen, Didier Fussen, Christine Bingen, Filip Vanhellemont, Nina Mateshvili, Alexei Rozanov, and Christine Pohl
Atmos. Meas. Tech., 17, 3085–3101, https://doi.org/10.5194/amt-17-3085-2024, https://doi.org/10.5194/amt-17-3085-2024, 2024
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We have developed the new multi-wavelength dataset of aerosol extinction profiles, which are retrieved from the averaged transmittance spectra by the Global Ozone Monitoring by Occultation of Stars instrument aboard Envisat. The retrieved aerosol extinction profiles are provided in the altitude range 10–40 km at 400, 440, 452, 470, 500, 525, 550, 672 and 750 nm for the period 2002–2012. FMI-GOMOSaero aerosol profiles have improved quality; they are in good agreement with other datasets.
Jasper S. Wijnands, Arnoud Apituley, Diego Alves Gouveia, and Jan Willem Noteboom
Atmos. Meas. Tech., 17, 3029–3045, https://doi.org/10.5194/amt-17-3029-2024, https://doi.org/10.5194/amt-17-3029-2024, 2024
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The mixing of air in the lower atmosphere influences the concentration of air pollutants and greenhouse gases. Our study developed a new method, Deep-Pathfinder, to estimate mixing layer height. Deep-Pathfinder analyses imagery with aerosol observations using artificial intelligence techniques for computer vision. Compared to existing methods, it improves temporal consistency and resolution and can be used in real time, which is valuable for aviation, forecasting, and air quality monitoring.
Liang Chang, Jing Li, Jingjing Ren, Changrui Xiong, and Lu Zhang
Atmos. Meas. Tech., 17, 2637–2648, https://doi.org/10.5194/amt-17-2637-2024, https://doi.org/10.5194/amt-17-2637-2024, 2024
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We described a modified lidar inversion algorithm to retrieve aerosol extinction and size distribution simultaneously from two-wavelength elastic lidar measurements. Its major advantage is that the lidar ratio of each layer is determined iteratively by a lidar ratio–Ångström exponent lookup table. The algorithm was applied to the Raman lidar and CALIOP measurements. The retrieved results by our method are in good agreement with those achieved by Raman method.
Zihao Yuan, Guangliang Fu, Bastiaan van Diedenhoven, Hai Xiang Lin, Jan Willem Erisman, and Otto P. Hasekamp
Atmos. Meas. Tech., 17, 2595–2610, https://doi.org/10.5194/amt-17-2595-2024, https://doi.org/10.5194/amt-17-2595-2024, 2024
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Currently, aerosol properties from spaceborne multi-angle polarimeter (MAP) instruments can only be retrieved in cloud-free areas or in areas where an aerosol layer is located above a cloud. Therefore, it is important to be able to identify cloud-free pixels for which an aerosol retrieval algorithm can provide meaningful output. The developed neural network cloud screening demonstrates that cloud masking for MAP aerosol retrieval can be based on the MAP measurements themselves.
Hiren T. Jethva, Omar Torres, Richard A. Ferrare, Sharon P. Burton, Anthony L. Cook, David B. Harper, Chris A. Hostetler, Jens Redemann, Vinay Kayetha, Samuel LeBlanc, Kristina Pistone, Logan Mitchell, and Connor J. Flynn
Atmos. Meas. Tech., 17, 2335–2366, https://doi.org/10.5194/amt-17-2335-2024, https://doi.org/10.5194/amt-17-2335-2024, 2024
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We introduce a novel synergy algorithm applied to ORALCES airborne measurements of above-cloud aerosol optical depth and UV–Vis satellite observations from OMI and MODIS to retrieve spectral aerosol single-scattering albedo of lofted layers of carbonaceous smoke aerosols over clouds. The development of the proposed aerosol–cloud algorithm implies a possible synergy of CALIOP and OMI–MODIS passive sensors to deduce a global product of AOD and SSA of absorbing aerosols above clouds.
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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An algorithm is presented to derive a new SAGE III/ISS (Stratospheric Aerosol and Gas Experiment III on the International Space Station) Level-2 product: the size distribution of stratospheric particles. This is a significant improvement over previous techniques in that we now provide uncertainty estimates for all inferred parameters. We also evaluated the stability of this method in retrieving bimodal distribution parameters. We present a special application to the 2022 eruption of Hunga Tonga.
Mijin Kim, Robert C. Levy, Lorraine A. Remer, Shana Mattoo, and Pawan Gupta
Atmos. Meas. Tech., 17, 1913–1939, https://doi.org/10.5194/amt-17-1913-2024, https://doi.org/10.5194/amt-17-1913-2024, 2024
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The study focused on evaluating and modifying the surface reflectance parameterization (SRP) of the Dark Target (DT) algorithm for geostationary observation. When using the DT SRP with the ABIs sensor on GOES-R, artificial diurnal signatures were present in AOD retrieval. To overcome this issue, a new SRP was developed, incorporating solar zenith angle and land cover type. The revised SRP resulted in improved AOD retrieval, demonstrating reduced bias around local noon.
Guangyao Dai, Songhua Wu, Wenrui Long, Jiqiao Liu, Yuan Xie, Kangwen Sun, Fanqian Meng, Xiaoquan Song, Zhongwei Huang, and Weibiao Chen
Atmos. Meas. Tech., 17, 1879–1890, https://doi.org/10.5194/amt-17-1879-2024, https://doi.org/10.5194/amt-17-1879-2024, 2024
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An overview is given of the main algorithms applied to derive the aerosol and cloud optical property product of the Aerosol and Carbon Detection Lidar (ACDL), which is capable of globally profiling aerosol and cloud optical properties with high accuracy. The paper demonstrates the observational capabilities of ACDL for aerosol and cloud vertical structure and global distribution through two optical property product measurement cases and global aerosol optical depth profile observations.
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.
Viet Le, Hannah Lobo, Ewan J. O'Connor, and Ville Vakkari
Atmos. Meas. Tech., 17, 921–941, https://doi.org/10.5194/amt-17-921-2024, https://doi.org/10.5194/amt-17-921-2024, 2024
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This study offers a long-term overview of aerosol particle depolarization ratio at the wavelength of 1565 nm obtained from vertical profiling measurements by Halo Doppler lidars during 4 years at four different locations across Finland. Our observations support the long-term usage of Halo Doppler lidar depolarization ratio such as the detection of aerosols that may pose a safety risk for aviation. Long-range Saharan dust transport and pollen transport are also showcased here.
Athena Augusta Floutsi, Holger Baars, and Ulla Wandinger
Atmos. Meas. Tech., 17, 693–714, https://doi.org/10.5194/amt-17-693-2024, https://doi.org/10.5194/amt-17-693-2024, 2024
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We introduce an aerosol-typing scheme (HETEAC-Flex) based on lidar-derived intensive optical properties and applicable to ground-based and spaceborne lidars. HETEAC-Flex utilizes the optimal estimation method and enables the identification of up to four different aerosol components, as well as the determination of their contribution to the aerosol mixture in terms of relative volume. The aerosol components represent common aerosol types such as dust, sea salt, smoke and pollution.
James A. Limbacher, Ralph A. Kahn, Mariel D. Friberg, Jaehwa Lee, Tyler Summers, and Hai Zhang
Atmos. Meas. Tech., 17, 471–498, https://doi.org/10.5194/amt-17-471-2024, https://doi.org/10.5194/amt-17-471-2024, 2024
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We present the new Multi-Angle Geostationary Aerosol Retrieval Algorithm (MAGARA) that fuses observations from GOES-16 and GOES-17 to retrieve information about aerosol loading (at 10–15 min cadence) and aerosol particle properties (daily), all at pixel-level resolution. We present MAGARA results for three case studies: the 2018 California Camp Fire, the 2019 Williams Flats Fire, and the 2019 Kincade Fire. We also compare MAGARA aerosol loading and particle properties with AERONET.
Juseon Shin, Gahyeong Kim, Dukhyeon Kim, Matthias Tesche, Gahyeon Park, and Youngmin Noh
Atmos. Meas. Tech., 17, 397–406, https://doi.org/10.5194/amt-17-397-2024, https://doi.org/10.5194/amt-17-397-2024, 2024
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We introduce the multi-section method, a novel approach for stable extinction coefficient retrievals in horizontally scanning aerosol lidar measurements, in this study. Our method effectively removes signal–noise-induced irregular peaks and derives a reference extinction coefficient, αref, from multiple scans, resulting in a strong correlation (>0.74) with PM2.5 mass concentrations. Case studies demonstrate its utility in retrieving spatio-temporal aerosol distributions and PM2.5 concentrations.
Basudev Swain, Marco Vountas, Adrien Deroubaix, Luca Lelli, Yanick Ziegler, Soheila Jafariserajehlou, Sachin S. Gunthe, Andreas Herber, Christoph Ritter, Hartmut Bösch, and John P. Burrows
Atmos. Meas. Tech., 17, 359–375, https://doi.org/10.5194/amt-17-359-2024, https://doi.org/10.5194/amt-17-359-2024, 2024
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Aerosols are suspensions of particles dispersed in the air. In this study, we use a novel retrieval of satellite data to investigate an optical property of aerosols, the aerosol optical depth, in the high Arctic to assess their direct and indirect roles in climate change. This study demonstrates that the presented approach shows good quality and very promising potential.
Gabriel Calassou, Pierre-Yves Foucher, and Jean-François Léon
Atmos. Meas. Tech., 17, 57–71, https://doi.org/10.5194/amt-17-57-2024, https://doi.org/10.5194/amt-17-57-2024, 2024
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We propose analyzing the aerosol composition of plumes emitted by different industrial stacks using PRISMA satellite hyperspectral observations. Three industrial sites have been observed: a coal-fired power plant in South Africa, a steel plant in China, and gas flaring at an oil extraction site in Algeria. Aerosol optical thickness and particle radius are retrieved within the plumes. The mass flow rate of particulate matter is estimated in the plume using the integrated mass enhancement method.
Zihan Zhang, Guangliang Fu, and Otto Hasekamp
Atmos. Meas. Tech., 16, 6051–6063, https://doi.org/10.5194/amt-16-6051-2023, https://doi.org/10.5194/amt-16-6051-2023, 2023
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In order to conduct accurate aerosol retrieval over snow, the Remote Sensing of Trace Gases and Aerosol Products (RemoTAP) algorithm is extended with a bi-directional reflection distribution function for snow surfaces. The experiments with both synthetic and real data show that the extended RemoTAP maintains capability for snow-free pixels and has obvious advantages in accuracy and the fraction of successful retrievals for retrieval over snow, especially over surfaces with snow cover > 75 %.
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.
Meng Gao, Bryan A. Franz, Peng-Wang Zhai, Kirk Knobelspiesse, Andrew M. Sayer, Xiaoguang Xu, J. Vanderlei Martins, Brian Cairns, Patricia Castellanos, Guangliang Fu, Neranga Hannadige, Otto Hasekamp, Yongxiang Hu, Amir Ibrahim, Frederick Patt, Anin Puthukkudy, and P. Jeremy Werdell
Atmos. Meas. Tech., 16, 5863–5881, https://doi.org/10.5194/amt-16-5863-2023, https://doi.org/10.5194/amt-16-5863-2023, 2023
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This study evaluated the retrievability and uncertainty of aerosol and ocean properties from PACE's HARP2 instrument using enhanced neural network models with the FastMAPOL algorithm. A cascading retrieval method is developed to improve retrieval performance. A global set of simulated HARP2 data is generated and used for uncertainty evaluations. The performance assessment demonstrates that the FastMAPOL algorithm is a viable approach for operational application to HARP2 data after PACE launch.
Vasiliki Daskalopoulou, Panagiotis I. Raptis, Alexandra Tsekeri, Vassilis Amiridis, Stelios Kazadzis, Zbigniew Ulanowski, Vassilis Charmandaris, Konstantinos Tassis, and William Martin
Atmos. Meas. Tech., 16, 4529–4550, https://doi.org/10.5194/amt-16-4529-2023, https://doi.org/10.5194/amt-16-4529-2023, 2023
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Atmospheric dust particles may present a preferential alignment due to their shape on long range transport. Since dust is abundant and plays a key role to global climate, the elusive observation of orientation will be a game changer to existing measurement techniques and the representation of particles in climate models. We utilize a specifically designed instrument, SolPol, and target the Sun from the ground for large polarization values under dusty conditions, a clear sign of orientation.
Sara Herrero-Anta, Roberto Román, David Mateos, Ramiro González, Juan Carlos Antuña-Sánchez, Marcos Herreras-Giralda, Antonio Fernando Almansa, Daniel González-Fernández, Celia Herrero del Barrio, Carlos Toledano, Victoria E. Cachorro, and Ángel M. de Frutos
Atmos. Meas. Tech., 16, 4423–4443, https://doi.org/10.5194/amt-16-4423-2023, https://doi.org/10.5194/amt-16-4423-2023, 2023
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This paper shows the potential of a simple radiometer like the ZEN-R52 as a possible alternative for aerosol property retrieval in remote areas. A calibration method based on radiative transfer simulations together with an inversion methodology using the GRASP code is proposed here. The results demonstrate that this methodology is useful for the retrieval of aerosol extensive properties like aerosol optical depth (AOD) and aerosol volume concentration for total, fine and coarse modes.
Xi Chen, Ting Yang, Zifa Wang, Futing Wang, and Haibo Wang
Atmos. Meas. Tech., 16, 4289–4302, https://doi.org/10.5194/amt-16-4289-2023, https://doi.org/10.5194/amt-16-4289-2023, 2023
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Uncertainties remain great in the planetary boundary layer height (PBLH) determination from radiosonde, especially during the transition period of different PBL regimes. We combine seven existing methods along with statistical modification on gradient-based methods. We find that the ensemble method can eliminate the overestimation of PBLH and reduce the inconsistency between individual methods. The ensemble method improves the effectiveness of PBLH determination to 62.6 %.
Seyed Ali Sayedain, Norman T. O'Neill, James King, Patrick L. Hayes, Daniel Bellamy, Richard Washington, Sebastian Engelstaedter, Andy Vicente-Luis, Jill Bachelder, and Malo Bernhard
Atmos. Meas. Tech., 16, 4115–4135, https://doi.org/10.5194/amt-16-4115-2023, https://doi.org/10.5194/amt-16-4115-2023, 2023
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We used (columnar) ground-based remote sensing (RS) tools and surface measurements to characterize local (drainage-basin) dust plumes at a site in the Yukon. Plume height, particle size, and column-to-surface ratios enabled insights into how satellite RS could be used to analyze Arctic-wide dust transport. This helps modelers refine dust impacts in their climate change simulations. It is an important step since local dust is a key source of dust deposition on snow in the sensitive Arctic region.
Ulla Wandinger, Moritz Haarig, Holger Baars, David Donovan, and Gerd-Jan van Zadelhoff
Atmos. Meas. Tech., 16, 4031–4052, https://doi.org/10.5194/amt-16-4031-2023, https://doi.org/10.5194/amt-16-4031-2023, 2023
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We introduce the algorithms that have been developed to derive cloud top height and aerosol layer products from observations with the Atmospheric Lidar (ATLID) onboard the Earth Cloud, Aerosol and Radiation Explorer (EarthCARE). The products provide information on the uppermost cloud and geometrical and optical properties of aerosol layers in an atmospheric column. They can be used individually but also serve as input for algorithms that combine observations with EarthCARE’s lidar and imager.
Tim Poguntke and Christoph Ritter
Atmos. Meas. Tech., 16, 4009–4014, https://doi.org/10.5194/amt-16-4009-2023, https://doi.org/10.5194/amt-16-4009-2023, 2023
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In this work we analyze the impact of electromagnetic interference on an aerosol lidar. We found that aging transient recorders may produce a noise with fixed frequency that can be removed a posteriori.
Rei Kudo, Akiko Higurashi, Eiji Oikawa, Masahiro Fujikawa, Hiroshi Ishimoto, and Tomoaki Nishizawa
Atmos. Meas. Tech., 16, 3835–3863, https://doi.org/10.5194/amt-16-3835-2023, https://doi.org/10.5194/amt-16-3835-2023, 2023
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A synergistic retrieval method of aerosol components (water-soluble, light-absorbing, dust, and sea salt particles) from CALIOP and MODIS observations was developed. The total global 3-D distributions and those for each component showed good consistency with the CALIOP and MODIS official products and previous studies. The shortwave direct radiative effects of each component at the top and bottom of the atmosphere and for the heating rate were also consistent with previous studies.
Nicole Docter, Rene Preusker, Florian Filipitsch, Lena Kritten, Franziska Schmidt, and Jürgen Fischer
Atmos. Meas. Tech., 16, 3437–3457, https://doi.org/10.5194/amt-16-3437-2023, https://doi.org/10.5194/amt-16-3437-2023, 2023
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We describe the stand-alone retrieval algorithm used to derive aerosol properties relying on measurements of the Multi-Spectral Imager (MSI) aboard the upcoming Earth Clouds, Aerosols and Radiation Explorer (EarthCARE) satellite. This aerosol data product will be available as M-AOT after the launch of EarthCARE. Additionally, we applied the algorithm to simulated EarthCARE MSI and Moderate Resolution Imaging Spectroradiometer (MODIS) data for prelaunch algorithm verification.
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.
Adolfo Comerón, Constantino Muñoz-Porcar, Alejandro Rodríguez-Gómez, Michaël Sicard, Federico Dios, Cristina Gil-Díaz, Daniel Camilo Fortunato dos Santos Oliveira, and Francesc Rocadenbosch
Atmos. Meas. Tech., 16, 3015–3025, https://doi.org/10.5194/amt-16-3015-2023, https://doi.org/10.5194/amt-16-3015-2023, 2023
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We derive an explicit (i.e., non-iterative) formula for the retrieval of the overlap function in an aerosol lidar with both elastic and Raman N2 and/or O2 channels used for independent measurements of aerosol backscatter and extinction coefficients. The formula requires only the measured, range-corrected elastic and the corresponding Raman signals, plus an assumed lidar ratio. We assess the influence of the lidar ratio error in the overlap function retrieval and present retrieval examples.
Abdanour Irbah, Julien Delanoë, Gerd-Jan van Zadelhoff, David P. Donovan, Pavlos Kollias, Bernat Puigdomènech Treserras, Shannon Mason, Robin J. Hogan, and Aleksandra Tatarevic
Atmos. Meas. Tech., 16, 2795–2820, https://doi.org/10.5194/amt-16-2795-2023, https://doi.org/10.5194/amt-16-2795-2023, 2023
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The Cloud Profiling Radar (CPR) and ATmospheric LIDar (ATLID) aboard the EarthCARE satellite are used to probe the Earth's atmosphere by measuring cloud and aerosol profiles. ATLID is sensitive to aerosols and small cloud particles and CPR to large ice particles, snowflakes and raindrops. It is the synergy of the measurements of these two instruments that allows a better classification of the atmospheric targets and the description of the associated products, which are the subject of this paper.
Mahesh Kovilakam, Larry Thomason, and Travis Knepp
Atmos. Meas. Tech., 16, 2709–2731, https://doi.org/10.5194/amt-16-2709-2023, https://doi.org/10.5194/amt-16-2709-2023, 2023
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The paper describes SAGE III/ISS aerosol/cloud categorization and its implications on Global Space-based Stratospheric Aerosol Climatology (GloSSAC). The presence of data from the SAGE type of multi-wavelength measurements is important in GloSSAC. The new aerosol/cloud categorization method described in this paper will help retain more measurements, particularly in the lower stratosphere during and following a volcanic event and other processes.
Minseok Kim, Jhoon Kim, Hyunkwang Lim, Seoyoung Lee, Yeseul Cho, Huidong Yeo, and Sang-Woo Kim
Atmos. Meas. Tech., 16, 2673–2690, https://doi.org/10.5194/amt-16-2673-2023, https://doi.org/10.5194/amt-16-2673-2023, 2023
Short summary
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Aerosol height information is important when seeking an understanding of the vertical structure of the aerosol layer and long-range transport. In this study, a geometrical aerosol top height (ATH) retrieval using a parallax of two geostationary satellites is investigated. With sufficient longitudinal separation between the two satellites, a decent ATH product could be retrieved.
Jianglong Zhang, Jeffrey S. Reid, Steven D. Miller, Miguel Román, Zhuosen Wang, Robert J. D. Spurr, and Shawn Jaker
Atmos. Meas. Tech., 16, 2531–2546, https://doi.org/10.5194/amt-16-2531-2023, https://doi.org/10.5194/amt-16-2531-2023, 2023
Short summary
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We adapted the spherical harmonics discrete ordinate method 3-dimentional radiative transfer model (3-D RTM) and developed a nighttime 3-D RTM capability for simulating top-of-atmosphere radiances from artificial light sources for aerosol retrievals. Our study suggests that both aerosol optical depth and aerosol plume height can be effectively retrieved using nighttime observations over artificial light sources, through the newly developed radiative transfer modeling capability.
Xavier Ceamanos, Bruno Six, Suman Moparthy, Dominique Carrer, Adèle Georgeot, Josef Gasteiger, Jérôme Riedi, Jean-Luc Attié, Alexei Lyapustin, and Iosif Katsev
Atmos. Meas. Tech., 16, 2575–2599, https://doi.org/10.5194/amt-16-2575-2023, https://doi.org/10.5194/amt-16-2575-2023, 2023
Short summary
Short summary
A new algorithm to retrieve the diurnal evolution of aerosol optical depth over land and ocean from geostationary meteorological satellites is proposed and successfully evaluated with reference ground-based and satellite data. The high-temporal-resolution aerosol observations that are obtained from the EUMETSAT Meteosat Second Generation mission are unprecedented and open the door to studies that cannot be conducted with the once-a-day observations available from low-Earth-orbit satellites.
Cited articles
Andersson, S. M., Martinsson, B. G., Friberg, J., Brenninkmeijer, C. A. M.,
Rauthe-Schöch, A., Hermann, M., van Velthoven, P. F. J., and Zahn, A.:
Composition and evolution of volcanic aerosol from eruptions of Kasatochi,
Sarychev and Eyjafjallajökull in 2008–2010 based on CARIBIC
observations, Atmos. Chem. Phys., 13, 1781–1796,
https://doi.org/10.5194/acp-13-1781-2013, 2013.
Andersson, S. M., Martinsson, B. G., Vernier, J. P., Friberg, J.,
Brenninkmeijer, C. A. M., Hermann, M., van Velthoven, P. F. J., and Zahn,
A.: Significant radiative impact of volcanic aerosol in the lowermost
stratosphere, Nat. Commun., 6, 7692, https://doi.org/10.1038/ncomms8692, 2015.
Berthet, G., Jégou, F., Catoire, V., Krysztofiak, G., Renard, J.-B.,
Bourassa, A. E., Degenstein, D. A., Brogniez, C., Dorf, M., Kreycy, S.,
Pfeilsticker, K., Werner, B., Lefèvre, F., Roberts, T. J., Lurton, T.,
Vignelles, D., Bègue, N., Bourgeois, Q., Daugeron, D., Chartier, M.,
Robert, C., Gaubicher, B., and Guimbaud, C.: Impact of a moderate volcanic
eruption on chemistry in the lower stratosphere: balloon-borne observations
and model calculations, Atmos. Chem. Phys, 17, 2229–2253,
https://doi.org/10.5194/acp-17-2229-2017, 2017.
Butchart, N.: The Brewer-Dobson circulation, Rev. Geophys., 52, 157–184,
https://doi.org/10.1002/2013rg000448, 2014.
Canty, T., Mascioli, N. R., Smarte, M. D., and Salawitch, R. J.: An
empirical model of global climate – Part 1: A critical evaluation of
volcanic cooling, Atmos. Chem. Phys., 13, 3997–4031,
https://doi.org/10.5194/acp-13-3997-2013, 2013.
Carboni, E., Grainger, R., Walker, J., Dudhia, A., and Siddans, R.: A new
scheme for sulphur dioxide retrieval from IASI measurements: application to
the Eyjafjallajökull eruption of April and May 2010, Atmos. Chem. Phys,
12, 11417–11434, https://doi.org/10.5194/acp-12-11417-2012, 2012.
Carboni, E., Grainger, R. G., Mather, T. A., Pyle, D. M., Thomas, G. E.,
Siddans, R., Smith, A. J. A., Dudhia, A., Koukouli, M. E., and Balis, D.:
The vertical distribution of volcanic SO2 plumes measured by IASI, Atmos.
Chem. Phys, 16, 4343–4367, https://doi.org/10.5194/acp-16-4343-2016, 2016.
Carn, S. A.: Quantifying tropospheric volcanic emissions with AIRS: The 2002
eruption of Mt. Etna (Italy), Geophys. Res. Lett., 32, L02301, https://doi.org/10.1029/2004gl021034,
2005.
Carn, S. A., Clarisse, L., and Prata, A. J.: Multi-decadal satellite
measurements of global volcanic degassing, J. Volcanol.
Geoth. Res., 311, 99–134, https://doi.org/10.1016/j.jvolgeores.2016.01.002, 2016.
Cassiani, M., Stohl, A., Olivié, D., Seland, Ø., Bethke, I., Pisso,
I., and Iversen, T.: The offline Lagrangian particle model
FLEXPART–NorESM/CAM (v1): model description and comparisons with the online
NorESM transport scheme and with the reference FLEXPART model, Geosci.
Model Dev., 9, 4029–4048, https://doi.org/10.5194/gmd-9-4029-2016, 2016.
Chahine, M. T., Pagano, T. S., Aumann, H. H., Atlas, R., Barnet, C.,
Blaisdell, J., Chen, L., Divakarla, M., Fetzer, E. J., Goldberg, M.,
Gautier, C., Granger, S., Hannon, S., Irion, F. W., Kakar, R., Kalnay, E.,
Lambrigtsen, B. H., Lee, S.-Y., Le Marshall, J., McMillan, W. W., McMillin,
L., Olsen, E. T., Revercomb, H., Rosenkranz, P., Smith, W. L., Staelin, D.,
Strow, L. L., Susskind, J., Tobin, D., Wolf, W., and Zhou, L.: AIRS:
Improving Weather Forecasting and Providing New Data on Greenhouse Gases, B.
Am. Meteorol. Soc., 87, 911–926, https://doi.org/10.1175/bams-87-7-911, 2006.
Eckhardt, S., Prata, A. J., Seibert, P., Stebel, K., and Stohl, A.:
Estimation of the vertical profile of sulfur dioxide injection into the
atmosphere by a volcanic eruption using satellite column measurements and
inverse transport modeling, Atmos. Chem. Phys, 8, 3881–3897,
https://doi.org/10.5194/acp-8-3881-2008, 2008.
Fairlie, T. D., Vernier, J.-P., Natarajan, M., and Bedka, K. M.: Dispersion
of the Nabro volcanic plume and its relation to the Asian summer monsoon,
Atmos. Chem. Phys., 14, 7045–7057,
https://doi.org/10.5194/acp-14-7045-2014, 2014.
Friberg, J., Martinsson, B. G., Andersson, S. M., Brenninkmeijer, C. A. M.,
Hermann, M., Van Velthoven, P. F. J., and Zahn, A.: Sources of increase in
lowermost stratospheric sulphurous and carbonaceous aerosol background
concentrations during 1999-2008 derived from CARIBIC flights, Tellus B, 66,
23428, https://doi.org/10.3402/tellusb.v66.23428, 2014.
Friberg, J., Martinsson, B. G., Andersson, S. M., and Sandvik, O. S.:
Volcanic impact on the climate – the stratospheric aerosol load in the
period 2006–2015, Atmos. Chem. Phys, 18, 11149–11169,
https://doi.org/10.5194/acp-18-11149-2018, 2018.
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, https://doi.org/10.1029/1999gl011200, 2000.
Ge, C., Wang, J., Carn, S., Yang, K., Ginoux, P., and Krotkov, N.:
Satellite-based global volcanic SO2 emissions and sulfate direct radiative
forcing during 2005–2012, J. Geophys. Res.-Atmos., 121, 3446–3464,
https://doi.org/10.1002/2015jd023134, 2016.
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.
Groot Zwaaftink, C. D., Henne, S., Thompson, R. L., Dlugokencky, E. J.,
Machida, T., Paris, J.-D., Sasakawa, M., Segers, A., Sweeney, C., and Stohl,
A.: Three-dimensional methane distribution simulated with FLEXPART 8-CTM-1.1
constrained with observation data, Geosci. Model Dev., 11,
4469–4487, https://doi.org/10.5194/gmd-11-4469-2018, 2018.
Günther, A., Höpfner, M., Sinnhuber, B.-M., Griessbach, S., Deshler,
T., von Clarmann, T., and Stiller, G.: MIPAS observations of volcanic
sulfate aerosol and sulfur dioxide in the stratosphere, Atmos. Chem. Phys.,
18, 1217–1239, https://doi.org/10.5194/acp-18-1217-2018, 2018.
Haywood, J. M., Clerbaux, C., Coheur, P., Degenstein, D., Braesicke, P.,
Jones, A., Clarisse, L., Bourassa, A., Barnes, J., Telford, P., Bellouin,
N., Boucher, O., and Agnew, P.: Observations of the eruption of the Sarychev
volcano and simulations using the HadGEM2 climate model, J. Geophys. Res.,
115, D21212, https://doi.org/10.1029/2010JD014447, 2010.
Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Horányi, A.,
Muñoz-Sabater, J., Nicolas, J., Peubey, C., Radu, R., Schepers, D.,
Simmons, A., Soci, C., Abdalla, S., Abellan, X., Balsamo, G., Bechtold, P.,
Biavati, G., Bidlot, J., Bonavita, M., Chiara, G., Dahlgren, P., Dee, D.,
Diamantakis, M., Dragani, R., Flemming, J., Forbes, R., Fuentes, M., Geer,
A., Haimberger, L., Healy, S., Hogan, R. J., Hólm, E., Janisková,
M., Keeley, S., Laloyaux, P., Lopez, P., Lupu, C., Radnoti, G., Rosnay, P.,
Rozum, I., Vamborg, F., Villaume, S., and Thépaut, J. N.: The ERA5
global reanalysis, Q. J. Roy. Meteor. Soc., 146, 1999–2049, https://doi.org/10.1002/qj.3803,
2020.
Höpfner, M., Boone, C. D., Funke, B., Glatthor, N., Grabowski, U.,
Günther, A., Kellmann, S., Kiefer, M., Linden, A., Lossow, S., Pumphrey,
H. C., Read, W. G., Roiger, A., Stiller, G., Schlager, H., von Clarmann, T.,
and Wissmüller, K.: Sulfur dioxide (SO2) from MIPAS in the upper
troposphere and lower stratosphere 2002–2012, Atmos. Chem. Phys., 15,
7017–7037, https://doi.org/10.5194/acp-15-7017-2015, 2015
Kablick, 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.
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.
Khaykin, S. M., Godin-Beekmann, S., Hauchecorne, A., Pelon, J., Ravetta, F.,
and Keckhut, P.: Stratospheric Smoke With Unprecedentedly High Backscatter
Observed by Lidars Above Southern France, Geophys. Res. Lett., 45,
1639–1646, https://doi.org/10.1002/2017gl076763, 2018.
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.,
Antuña-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.
Kristiansen, N. I., Stohl, A., Prata, A. J., Richter, A., Eckhardt, S.,
Seibert, P., Hoffmann, A., Ritter, C., Bitar, L., Duck, T. J., and Stebel,
K.: Remote sensing and inverse transport modeling of the Kasatochi eruption
sulfur dioxide cloud, J. Geophys. Res., 115, D00L16, https://doi.org/10.1029/2009jd013286, 2010.
Langford, A. O., Alvarez, R. J., Brioude, J., Evan, S., Iraci, L. T.,
Kirgis, G., Kuang, S., Leblanc, T., Newchurch, M. J., Pierce, R. B., Senff,
C. J., and Yates, E. L.: Coordinated profiling of stratospheric intrusions
and transported pollution by the Tropospheric Ozone Lidar Network (TOLNet)
and NASA Alpha Jet experiment (AJAX): Observations and comparison to
HYSPLIT, RAQMS, and FLEXPART, Atmos. Environ., 174, 1–14,
https://doi.org/10.1016/j.atmosenv.2017.11.031, 2018.
Levin, B. W., Rybin, A. V., Vasilenko, N. F., Prytkov, A. S., Chibisova, M.
V., Kogan, M. G., Steblov, G. M., and Frolov, D. I.: Monitoring of the
eruption of the Sarychev Peak Volcano in Matua Island in 2009 (central
Kurile islands), Doklady Earth Sci., 435, 1507–1510,
https://doi.org/10.1134/s1028334x10110218, 2010.
Liu, Z., Kar, J., Zeng, S., Tackett, J., Vaughan, M., Avery, M., Pelon, J.,
Getzewich, B., Lee, K.-P., Magill, B., Omar, A., Lucker, P., Trepte, C., and
Winker, D.: Discriminating between clouds and aerosols in the CALIOP version
4.1 data products, Atmos. Meas. Tech., 12, 703–734, https://doi.org/10.5194/amt-12-703-2019,
2019.
Lurton, T., Jégou, F., Berthet, G., Renard, J.-B., Clarisse, L.,
Schmidt, A., Brogniez, C., and Roberts, T. J.: Model simulations of the
chemical and aerosol microphysical evolution of the Sarychev Peak 2009
eruption cloud compared to in situ and satellite observations, Atmos. Chem.
Phys., 18, 3223–3247, https://doi.org/10.5194/acp-18-3223-2018, 2018.
Martinsson, B. G., Nguyen, H. N., Brenninkmeijer, C. A. M., Zahn, A., Heintzenberg, J., Hermann, M., and van Velthoven, P. F. J.:
Characteristics and origin of lowermost stratospheric aerosol at northern
midlatitudes under volcanically quiescent conditions based on CARIBIC
observations, J. Geophys. Res., 110, D12201,
https://doi.org/10.1029/2004JD005644, 2005.
Martinsson, B. G., Brenninkmeijer, C. A. M., Carn, S. A., Hermann, M., Heue,
K. P., van Velthoven, P. F. J., and Zahn, A.: Influence of the 2008
Kasatochi volcanic eruption on sulfurous and carbonaceous aerosol
constituents in the lower stratosphere, Geophys. Res. Lett., 36, L12813,
https://doi.org/10.1029/2009gl038735, 2009.
Martinsson, B. G., Friberg, J., Sandvik, O. S., Hermann, M., van Velthoven,
P. F. J., and Zahn, A.: Formation and composition of the UTLS aerosol, NPJ
Clim. Atmos. Sci., 2, 40, https://doi.org/10.1038/s41612-019-0097-1, 2019.
Mills, M. J., Schmidt, A., Easter, R., Solomon, S., Kinnison, D. E., Ghan,
S. J., Neely, R. R., Marsh, D. R., Conley, A., Bardeen, C. G., and
Gettelman, A.: Global volcanic aerosol properties derived from emissions,
1990–2014, using CESM1(WACCM), J. Geophys. Res.-Atmos., 121, 2332–2348,
https://doi.org/10.1002/2015jd024290, 2016.
Murphy, D. M., Thomson, D. S., and Mahoney, M. J.: 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.
NASA/LARC/SD/ASDC: CALIPSO Lidar Level 1B profile data, V4‐10 [data set],
available at: https://doi.org/10.5067/CALIOP/CALIPSO/LID_L1-STANDARD-V4-10, 2016.
Peterson, D. A., Campbell, J. R., Hyer, E. J., Fromm, M. D., Kablick, G. P.,
3rd, Cossuth, J. H., and DeLand, M. T.: 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.
Tipka, A., Haimberger, L., and Seibert, P.: Flex_extract v7.1.2 – a software package to retrieve and prepare ECMWF data for use in FLEXPART, Geosci. Model Dev., 13, 5277–5310, https://doi.org/10.5194/gmd-13-5277-2020, 2020.
Pisso, I., Sollum, E., Grythe, H., Kristiansen, N. I., Cassiani, M.,
Eckhardt, S., Arnold, D., Morton, D., Thompson, R. L., Groot Zwaaftink, C.
D., Evangeliou, N., Sodemann, H., Haimberger, L., Henne, S., Brunner, D.,
Burkhart, J. F., Fouilloux, A., Brioude, J., Philipp, A., Seibert, P., and
Stohl, A.: The Lagrangian particle dispersion model FLEXPART version 10.4,
Geosci. Model Dev., 12, 4955–4997, https://doi.org/10.5194/gmd-12-4955-2019,
2019.
Prata, A. J. and Bernardo, C.: Retrieval of volcanic SO2 column
abundance from atmospheric infrared sounder data, J. Geophys. Res., 112,
D20204, https://doi.org/10.1029/2006JD007955, 2007.
Robock, A.: Volcanic eruptions and climate, Rev. Geophys., 38, 191–219,
2000.
Rybin, A., Chibisova, M., Webley, P., Steensen, T., Izbekov, P., Neal, C.,
and Realmuto, V.: Satellite and ground observations of the June 2009
eruption of Sarychev Peak volcano, Matua Island, Central Kuriles, Bull.
Volcanol., 73, 1377–1392, https://doi.org/10.1007/s00445-011-0481-0, 2011.
Sandvik, O. S., Friberg, J., Martinsson, B. G., van Velthoven, P. F. J.,
Hermann, M., and Zahn, A.: Intercomparison of in-situ aircraft and satellite
aerosol measurements in the stratosphere, Sci. Rep., 9, 15576,
https://doi.org/10.1038/s41598-019-52089-6, 2019.
Sandvik, O. S., Friberg, J.,
Sporre, M. K., Martinsson, B. G.: 3D dataset from “Methodology to obtain highly
resolved SO2 vertical profiles for representation of volcanic emissions in climate models”,
Swedish National Data Service [data set],
https://doi.org/10.5878/q2ea-kt53, 2021.
Santer, B. D., Bonfils, C., Painter, J. F., Zelinka, M. D., Mears, C.,
Solomon, S., Schmidt, G. A., Fyfe, J. C., Cole, J. N. S., 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.
Solomon, S., Daniel, J. S., Neely III, R. R., Vernier, J. P., Dutton, E. G.,
and Thomason, L. W.: The persistently variable “background” stratospheric
aerosol layer and global climate change, Science, 333, 866–870,
https://doi.org/10.1126/science.1206027, 2011.
SPARC: SPARC Assessment of Stratospheric Aerosol Properties (ASAP), SPARC
Report, 322 pp., 2006.
Stephens, G. L., Vane, D. G., Boain, R. J., Mace, G. G., Sassen, K., Wang,
Z., Illingworth, A. J., O'Connor, E. J., Rossow, W. B., Durden, S. L.,
Miller, S. D., Austin, R. T., Benedetti, A., and Mitrescu, C.: The Cloudsat
Mission and the a-Train, B. Am. Meteorol. Soc., 83, 1771–1790,
https://doi.org/10.1175/bams-83-12-1771, 2002.
Thies, B. and Bendix, J.: Satellite based remote sensing of weather and
climate: recent achievements and future perspectives, Meteorol.
Appl., 18, 262–295, https://doi.org/10.1002/met.288, 2011.
Timmreck, C., Mann, G. W., Aquila, V., Hommel, R., Lee, L. A., Schmidt, A.,
Brühl, C., Carn, S., Chin, M., Dhomse, S. S., Diehl, T., English, J. M.,
Mills, M. J., Neely, R., Sheng, J., Toohey, M., and Weisenstein, D.: The
Interactive Stratospheric Aerosol Model Intercomparison Project (ISA-MIP):
motivation and experimental design, Geosci. Model Dev., 11,
2581–2608, https://doi.org/10.5194/gmd-11-2581-2018, 2018.
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.
Vernier, J. P., Fairlie, T. D., Natarajan, M., Wienhold, F. G., Bian, J.,
Martinsson, B. G., Crumeyrolle, S., Thomason, L. W., and Bedka, K. M.:
Increase in upper tropospheric and lower stratospheric aerosol levels and
its potential connection with Asian pollution, J. Geophys. Res.-Atmos., 120,
1608–1619, https://doi.org/10.1002/2014JD022372, 2015.
Watts, S. F.: The mass budgets of carbonyl sulfide, dimethyl sulfide, carbon
disulfide and hydrogen sulfide, Atmos. Environ., 34, 761–779,
https://doi.org/10.1016/s1352-2310(99)00342-8, 2000.
Winker, D. M., Hunt, W. H., and McGill, M. J.: Initial performance
assessment of CALIOP, Geophys. Res. Lett., 34, L19803, https://doi.org/10.1029/2007gl030135, 2007.
Winker, D. M., Pelon, J., Coakley, J. A., Ackerman, S. A., Charlson, R. J.,
Colarco, P. R., Flamant, P., Fu, Q., Hoff, R. M., 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, 1211–1229,
https://doi.org/10.1175/2010bams3009.1, 2010.
Wu, X., Griessbach, S., and Hoffmann, L.: Equatorward dispersion of a
high-latitude volcanic plume and its relation to the Asian summer monsoon: a
case study of the Sarychev eruption in 2009, Atmos. Chem. Phys., 17,
13439–13455, https://doi.org/10.5194/acp-17-13439-2017, 2017.
Short summary
A method to form SO2 profiles in the stratosphere with high vertical resolution following volcanic eruptions is introduced. The method combines space-based high-resolution vertical aerosol profiles and SO2 measurements the first 2 weeks after an eruption with air mass trajectory analyses. The SO2 is located at higher altitude than in most previous studies. The detailed resolution of the SO2 profile is unprecedented compared to other methods.
A method to form SO2 profiles in the stratosphere with high vertical resolution following...
