Articles | Volume 12, issue 17
Atmos. Chem. Phys., 12, 8037–8053, 2012
https://doi.org/10.5194/acp-12-8037-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Atmos. Chem. Phys., 12, 8037–8053, 2012
https://doi.org/10.5194/acp-12-8037-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article 10 Sep 2012
Research article | 10 Sep 2012
Global and regional trends of aerosol optical depth over land and ocean using SeaWiFS measurements from 1997 to 2010
N. C. Hsu et al.
Related subject area
Subject: Aerosols | Research Activity: Remote Sensing | Altitude Range: Troposphere | Science Focus: Chemistry (chemical composition and reactions)
Aerosol vertical distribution and interactions with land/sea breezes over the eastern coast of the Red Sea from lidar data and high-resolution WRF-Chem simulations
Improved inversion of aerosol components in the atmospheric column from remote sensing data
Retrieval of aerosol components directly from satellite and ground-based measurements
Towards a satellite formaldehyde – in situ hybrid estimate for organic aerosol abundance
Retrieval of desert dust and carbonaceous aerosol emissions over Africa from POLDER/PARASOL products generated by the GRASP algorithm
Estimating the open biomass burning emissions in central and eastern China from 2003 to 2015 based on satellite observation
Intra-annual variations of regional aerosol optical depth, vertical distribution, and particle types from multiple satellite and ground-based observational datasets
Chemical composition of ambient PM2. 5 over China and relationship to precursor emissions during 2005–2012
Synergistic use of Lagrangian dispersion and radiative transfer modelling with satellite and surface remote sensing measurements for the investigation of volcanic plumes: the Mount Etna eruption of 25–27 October 2013
Climatology of the aerosol optical depth by components from the Multi-angle Imaging SpectroRadiometer (MISR) and chemistry transport models
A global aerosol classification algorithm incorporating multiple satellite data sets of aerosol and trace gas abundances
Simulation of GOES-R ABI aerosol radiances using WRF-CMAQ: a case study approach
Absorption properties of Mediterranean aerosols obtained from multi-year ground-based remote sensing observations
The global 3-D distribution of tropospheric aerosols as characterized by CALIOP
A unified approach to infrared aerosol remote sensing and type specification
Interpretation of FRESCO cloud retrievals in case of absorbing aerosol events
Potential for a biogenic influence on cloud microphysics over the ocean: a correlation study with satellite-derived data
Mixing of dust and NH3 observed globally over anthropogenic dust sources
The composition and variability of atmospheric aerosol over Southeast Asia during 2008
NASA A-Train and Terra observations of the 2010 Russian wildfires
The Eyjafjallajökull eruption in April 2010 – detection of volcanic plume using in-situ measurements, ozone sondes and lidar-ceilometer profiles
Saharan dust infrared optical depth and altitude retrieved from AIRS: a focus over North Atlantic – comparison to MODIS and CALIPSO
Absorption Angstrom Exponent in AERONET and related data as an indicator of aerosol composition
Sagar P. Parajuli, Georgiy L. Stenchikov, Alexander Ukhov, Illia Shevchenko, Oleg Dubovik, and Anton Lopatin
Atmos. Chem. Phys., 20, 16089–16116, https://doi.org/10.5194/acp-20-16089-2020, https://doi.org/10.5194/acp-20-16089-2020, 2020
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Both natural (dust, sea salt) and anthropogenic (sulfate, organic and black carbon) aerosols are common over the Red Sea coastal plains. King Abdullah University of Science and Technology (KAUST), located on the eastern coast of the Red Sea, hosts the only operating lidar system in the Arabian Peninsula, which measures atmospheric aerosols day and night. We use these lidar data and high-resolution WRF-Chem model simulations to study the potential effect of dust aerosols on Red Sea environment.
Ying Zhang, Zhengqiang Li, Yu Chen, Gerrit de Leeuw, Chi Zhang, Yisong Xie, and Kaitao Li
Atmos. Chem. Phys., 20, 12795–12811, https://doi.org/10.5194/acp-20-12795-2020, https://doi.org/10.5194/acp-20-12795-2020, 2020
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Observation of atmospheric aerosol components plays an important role in reducing uncertainty in climate assessment. In this study, an improved remote sensing method which can better distinguish scattering components is developed, and the aerosol components in the atmospheric column over China are retrieved based on the Sun–sky radiometer Observation NETwork (SONET). The component distribution shows there could be a sea salt component in northwest China from a paleomarine source in desert land.
Lei Li, Oleg Dubovik, Yevgeny Derimian, Gregory L. Schuster, Tatyana Lapyonok, Pavel Litvinov, Fabrice Ducos, David Fuertes, Cheng Chen, Zhengqiang Li, Anton Lopatin, Benjamin Torres, and Huizheng Che
Atmos. Chem. Phys., 19, 13409–13443, https://doi.org/10.5194/acp-19-13409-2019, https://doi.org/10.5194/acp-19-13409-2019, 2019
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A novel methodology to monitor atmospheric aerosol components using remote sensing is presented. The concept is realized within the GRASP (Generalized Retrieval of Aerosol and Surface Properties) project. Application to POLDER/PARASOL and AERONET observations yielded the spatial and temporal variability of absorbing and non-absorbing insoluble and soluble aerosol species in the fine and coarse size fractions. This presents the global-scale aerosol component derived from satellite measurements.
Jin Liao, Thomas F. Hanisco, Glenn M. Wolfe, Jason St. Clair, Jose L. Jimenez, Pedro Campuzano-Jost, Benjamin A. Nault, Alan Fried, Eloise A. Marais, Gonzalo Gonzalez Abad, Kelly Chance, Hiren T. Jethva, Thomas B. Ryerson, Carsten Warneke, and Armin Wisthaler
Atmos. Chem. Phys., 19, 2765–2785, https://doi.org/10.5194/acp-19-2765-2019, https://doi.org/10.5194/acp-19-2765-2019, 2019
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Organic aerosol (OA) intimately links natural and anthropogenic emissions with air quality and climate. Direct OA measurements from space are currently not possible. This paper describes a new method to estimate OA by combining satellite HCHO and in situ OA and HCHO. The OA estimate is validated with the ground network. This new method has a potential for mapping observation-based global OA estimate.
Cheng Chen, Oleg Dubovik, Daven K. Henze, Tatyana Lapyonak, Mian Chin, Fabrice Ducos, Pavel Litvinov, Xin Huang, and Lei Li
Atmos. Chem. Phys., 18, 12551–12580, https://doi.org/10.5194/acp-18-12551-2018, https://doi.org/10.5194/acp-18-12551-2018, 2018
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This paper introduces a method to use satellite-observed spectral AOD and AAOD to derive three types of aerosol emission sources simultaneously based on inverse modelling at a high spatial and temporal resolution. This study shows it is possible to estimate aerosol emissions and improve the atmospheric aerosol simulation using detailed aerosol optical and microphysical information from satellite observations.
Jian Wu, Shaofei Kong, Fangqi Wu, Yi Cheng, Shurui Zheng, Qin Yan, Huang Zheng, Guowei Yang, Mingming Zheng, Dantong Liu, Delong Zhao, and Shihua Qi
Atmos. Chem. Phys., 18, 11623–11646, https://doi.org/10.5194/acp-18-11623-2018, https://doi.org/10.5194/acp-18-11623-2018, 2018
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In order to support regional modeling impact on air quality and policy making on controlling open biomass burning emissions, accurate open biomass burning emissions were estimated from 2003 to 2015 with high spatial and temporal resolution. Multiple satellite data, updated biomass data and survey results were all used to improve the accuracy. In addition, management policies and all influencing factors in rural areas for open biomass burning emissions were considered.
Bin Zhao, Jonathan H. Jiang, David J. Diner, Hui Su, Yu Gu, Kuo-Nan Liou, Zhe Jiang, Lei Huang, Yoshi Takano, Xuehua Fan, and Ali H. Omar
Atmos. Chem. Phys., 18, 11247–11260, https://doi.org/10.5194/acp-18-11247-2018, https://doi.org/10.5194/acp-18-11247-2018, 2018
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We combine satellite-borne and ground-based observations to investigate the intra-annual variations of regional aerosol column loading, vertical distribution, and particle types. Column aerosol optical depth (AOD), as well as AOD > 800 m, peaks in summer/spring. However, AOD < 800 m and surface PM2.5 concentrations mostly peak in winter. The aerosol intra-annual variations differ significantly according to aerosol types characterized by different sizes, light absorption, and emission sources.
Guannan Geng, Qiang Zhang, Dan Tong, Meng Li, Yixuan Zheng, Siwen Wang, and Kebin He
Atmos. Chem. Phys., 17, 9187–9203, https://doi.org/10.5194/acp-17-9187-2017, https://doi.org/10.5194/acp-17-9187-2017, 2017
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We presented the characteristics of PM2.5 chemical composition over China during 2005–2012 by synthesis of in situ measurement data and satellite-based estimates. We also investigated the driving forces behind the changes by examining the changes in precursor emissions. We found that the decrease in sulfate is partly offset by the increase in nitrate. The results indicate that the synchronized abatement of emissions for multipollutants is necessary for reducing ambient PM2.5 over China.
Pasquale Sellitto, Alcide di Sarra, Stefano Corradini, Marie Boichu, Hervé Herbin, Philippe Dubuisson, Geneviève Sèze, Daniela Meloni, Francesco Monteleone, Luca Merucci, Justin Rusalem, Giuseppe Salerno, Pierre Briole, and Bernard Legras
Atmos. Chem. Phys., 16, 6841–6861, https://doi.org/10.5194/acp-16-6841-2016, https://doi.org/10.5194/acp-16-6841-2016, 2016
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We combine plume dispersion and radiative transfer modelling, and satellite and surface remote sensing observations to study the regional influence of a relatively weak volcanic eruption from Mount Etna (25–27 October 2013) on the optical/micro-physical properties of Mediterranean aerosols. Our results indicate that even relatively weak volcanic eruptions may produce an observable effect on the aerosol properties at the regional scale, with a significant impact on the regional radiative balance.
Huikyo Lee, Olga V. Kalashnikova, Kentaroh Suzuki, Amy Braverman, Michael J. Garay, and Ralph A. Kahn
Atmos. Chem. Phys., 16, 6627–6640, https://doi.org/10.5194/acp-16-6627-2016, https://doi.org/10.5194/acp-16-6627-2016, 2016
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The Multi-angle Imaging SpectroRadiometer (MISR) on NASA's TERRA satellite has provided a global distribution of aerosol amount and type information for each month over 16+ years since March 2000. This study analyzes, for the first time, characteristics of observed and simulated distributions of aerosols for three broad classes of aerosols: spherical nonabsorbing, spherical absorbing, and nonspherical – near or downwind of their major source regions.
M. J. M. Penning de Vries, S. Beirle, C. Hörmann, J. W. Kaiser, P. Stammes, L. G. Tilstra, O. N. E. Tuinder, and T. Wagner
Atmos. Chem. Phys., 15, 10597–10618, https://doi.org/10.5194/acp-15-10597-2015, https://doi.org/10.5194/acp-15-10597-2015, 2015
S. A. Christopher
Atmos. Chem. Phys., 14, 3183–3194, https://doi.org/10.5194/acp-14-3183-2014, https://doi.org/10.5194/acp-14-3183-2014, 2014
M. Mallet, O. Dubovik, P. Nabat, F. Dulac, R. Kahn, J. Sciare, D. Paronis, and J. F. Léon
Atmos. Chem. Phys., 13, 9195–9210, https://doi.org/10.5194/acp-13-9195-2013, https://doi.org/10.5194/acp-13-9195-2013, 2013
D. M. Winker, J. L. Tackett, B. J. Getzewich, Z. Liu, M. A. Vaughan, and R. R. Rogers
Atmos. Chem. Phys., 13, 3345–3361, https://doi.org/10.5194/acp-13-3345-2013, https://doi.org/10.5194/acp-13-3345-2013, 2013
L. Clarisse, P.-F. Coheur, F. Prata, J. Hadji-Lazaro, D. Hurtmans, and C. Clerbaux
Atmos. Chem. Phys., 13, 2195–2221, https://doi.org/10.5194/acp-13-2195-2013, https://doi.org/10.5194/acp-13-2195-2013, 2013
P. Wang, O. N. E. Tuinder, L. G. Tilstra, M. de Graaf, and P. Stammes
Atmos. Chem. Phys., 12, 9057–9077, https://doi.org/10.5194/acp-12-9057-2012, https://doi.org/10.5194/acp-12-9057-2012, 2012
A. Lana, R. Simó, S. M. Vallina, and J. Dachs
Atmos. Chem. Phys., 12, 7977–7993, https://doi.org/10.5194/acp-12-7977-2012, https://doi.org/10.5194/acp-12-7977-2012, 2012
P. Ginoux, L. Clarisse, C. Clerbaux, P.-F. Coheur, O. Dubovik, N. C. Hsu, and M. Van Damme
Atmos. Chem. Phys., 12, 7351–7363, https://doi.org/10.5194/acp-12-7351-2012, https://doi.org/10.5194/acp-12-7351-2012, 2012
W. Trivitayanurak, P. I. Palmer, M. P. Barkley, N. H. Robinson, H. Coe, and D. E. Oram
Atmos. Chem. Phys., 12, 1083–1100, https://doi.org/10.5194/acp-12-1083-2012, https://doi.org/10.5194/acp-12-1083-2012, 2012
J. C. Witte, A. R. Douglass, A. da Silva, O. Torres, R. Levy, and B. N. Duncan
Atmos. Chem. Phys., 11, 9287–9301, https://doi.org/10.5194/acp-11-9287-2011, https://doi.org/10.5194/acp-11-9287-2011, 2011
H. Flentje, H. Claude, T. Elste, S. Gilge, U. Köhler, C. Plass-Dülmer, W. Steinbrecht, W. Thomas, A. Werner, and W. Fricke
Atmos. Chem. Phys., 10, 10085–10092, https://doi.org/10.5194/acp-10-10085-2010, https://doi.org/10.5194/acp-10-10085-2010, 2010
S. Peyridieu, A. Chédin, D. Tanré, V. Capelle, C. Pierangelo, N. Lamquin, and R. Armante
Atmos. Chem. Phys., 10, 1953–1967, https://doi.org/10.5194/acp-10-1953-2010, https://doi.org/10.5194/acp-10-1953-2010, 2010
P. B. Russell, R. W. Bergstrom, Y. Shinozuka, A. D. Clarke, P. F. DeCarlo, J. L. Jimenez, J. M. Livingston, J. Redemann, O. Dubovik, and A. Strawa
Atmos. Chem. Phys., 10, 1155–1169, https://doi.org/10.5194/acp-10-1155-2010, https://doi.org/10.5194/acp-10-1155-2010, 2010
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