Articles | Volume 14, issue 19
https://doi.org/10.5194/acp-14-10649-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-14-10649-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
10 Oct 2014
Research article |
| 10 Oct 2014
Optical, microphysical and compositional properties of the Eyjafjallajökull volcanic ash
A. Rocha-Lima
University of Maryland, Baltimore County, Baltimore, MD, USA
J. V. Martins
NASA Goddard Space Flight Center, Greenbelt, MD, USA
University of Maryland, Baltimore County, Baltimore, MD, USA
L. A. Remer
University of Maryland, Baltimore County, Baltimore, MD, USA
N. A. Krotkov
NASA Goddard Space Flight Center, Greenbelt, MD, USA
M. H. Tabacniks
Institute of Physics, University of Sao Paulo, Sao Paulo, Brazil
Y. Ben-Ami
Weizmann Institute of Science, Rehovot, Israel
P. Artaxo
Institute of Physics, University of Sao Paulo, Sao Paulo, Brazil
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17 citations as recorded by crossref.
- FILTER-FREE LIGHT ABSORPTION MEASUREMENT OF VOLCANIC ASHES AND AMBIENT PARTICULATE MATTER USING MULTI-WAVELENGTH PHOTOACOUSTIC SPECTROSCOPY G. Wang et al. 10.2528/PIER19100603
- Retrieval of aerosol properties from Airborne Hyper-Angular Rainbow Polarimeter (AirHARP) observations during ACEPOL 2017 A. Puthukkudy et al. 10.5194/amt-13-5207-2020
- A Laboratory Experiment for the Statistical Evaluation of Aerosol Retrieval (STEAR) Algorithms G. Schuster et al. 10.3390/rs11050498
- Classification of iron oxide aerosols by a single particle soot photometer using supervised machine learning K. Lamb 10.5194/amt-12-3885-2019
- Modeling Atmosphere-Ocean Radiative Transfer: A PACE Mission Perspective J. Chowdhary et al. 10.3389/feart.2019.00100
- Laser absorption spectroscopy applied to monitoring of short-lived climate pollutants (SLCPs) G. Wang et al. 10.1016/j.jms.2018.03.015
- New approach for the determination of aerosol refractive indices – Part I: Theoretical bases and numerical methodology H. Herbin et al. 10.1016/j.jqsrt.2017.03.005
- Comprehensive thematic T-matrix reference database: A 2014–2015 update M. Mishchenko et al. 10.1016/j.jqsrt.2015.11.005
- Estimating Spectral Effects of Absorbing Aerosols on Backscattered UV Radiation H. Jethva et al. 10.1029/2022EA002354
- Development and application of a backscatter lidar forward operator for quantitative validation of aerosol dispersion models and future data assimilation A. Geisinger et al. 10.5194/amt-10-4705-2017
- A New Parameterization of Volcanic Ash Complex Refractive Index Based on NBO/T and SiO2 Content G. Prata et al. 10.1029/2018JD028679
- Composition, size distribution, optical properties, and radiative effects of laboratory-resuspended PM<sub>10</sub> from geological dust of the Rome area, by electron microscopy and radiative transfer modelling A. Pietrodangelo et al. 10.5194/acp-15-13177-2015
- Distinct chemical and mineralogical composition of Icelandic dust compared to northern African and Asian dust C. Baldo et al. 10.5194/acp-20-13521-2020
- A detailed characterization of the Saharan dust collected during the Fennec campaign in 2011: in situ ground-based and laboratory measurements A. Rocha-Lima et al. 10.5194/acp-18-1023-2018
- Microscopic Observations of Core‐Shell Particle Structure and Implications for Atmospheric Aerosol Remote Sensing F. Unga et al. 10.1029/2018JD028602
- Optical modeling of volcanic ash particles using ellipsoids S. Merikallio et al. 10.1002/2014JD022792
- Measurements of the complex refractive index of volcanic ash at 450, 546.7, and 650 nm J. Ball et al. 10.1002/2015JD023521
15 citations as recorded by crossref.
- FILTER-FREE LIGHT ABSORPTION MEASUREMENT OF VOLCANIC ASHES AND AMBIENT PARTICULATE MATTER USING MULTI-WAVELENGTH PHOTOACOUSTIC SPECTROSCOPY G. Wang et al. 10.2528/PIER19100603
- Retrieval of aerosol properties from Airborne Hyper-Angular Rainbow Polarimeter (AirHARP) observations during ACEPOL 2017 A. Puthukkudy et al. 10.5194/amt-13-5207-2020
- A Laboratory Experiment for the Statistical Evaluation of Aerosol Retrieval (STEAR) Algorithms G. Schuster et al. 10.3390/rs11050498
- Classification of iron oxide aerosols by a single particle soot photometer using supervised machine learning K. Lamb 10.5194/amt-12-3885-2019
- Modeling Atmosphere-Ocean Radiative Transfer: A PACE Mission Perspective J. Chowdhary et al. 10.3389/feart.2019.00100
- Laser absorption spectroscopy applied to monitoring of short-lived climate pollutants (SLCPs) G. Wang et al. 10.1016/j.jms.2018.03.015
- New approach for the determination of aerosol refractive indices – Part I: Theoretical bases and numerical methodology H. Herbin et al. 10.1016/j.jqsrt.2017.03.005
- Comprehensive thematic T-matrix reference database: A 2014–2015 update M. Mishchenko et al. 10.1016/j.jqsrt.2015.11.005
- Estimating Spectral Effects of Absorbing Aerosols on Backscattered UV Radiation H. Jethva et al. 10.1029/2022EA002354
- Development and application of a backscatter lidar forward operator for quantitative validation of aerosol dispersion models and future data assimilation A. Geisinger et al. 10.5194/amt-10-4705-2017
- A New Parameterization of Volcanic Ash Complex Refractive Index Based on NBO/T and SiO2 Content G. Prata et al. 10.1029/2018JD028679
- Composition, size distribution, optical properties, and radiative effects of laboratory-resuspended PM<sub>10</sub> from geological dust of the Rome area, by electron microscopy and radiative transfer modelling A. Pietrodangelo et al. 10.5194/acp-15-13177-2015
- Distinct chemical and mineralogical composition of Icelandic dust compared to northern African and Asian dust C. Baldo et al. 10.5194/acp-20-13521-2020
- A detailed characterization of the Saharan dust collected during the Fennec campaign in 2011: in situ ground-based and laboratory measurements A. Rocha-Lima et al. 10.5194/acp-18-1023-2018
- Microscopic Observations of Core‐Shell Particle Structure and Implications for Atmospheric Aerosol Remote Sensing F. Unga et al. 10.1029/2018JD028602
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