Articles | Volume 18, issue 5
https://doi.org/10.5194/acp-18-3737-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-18-3737-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
In situ measurements of angular-dependent light scattering by aerosols over the contiguous United States
W. Reed Espinosa
CORRESPONDING AUTHOR
Department of Physics, University of Maryland Baltimore County, 1000 Hilltop Circle, Baltimore, MD 21250, USA
Joint Center for Earth Systems Technology, University of Maryland Baltimore County, 5523 Research Park DR, Baltimore, MD 21228, USA
J. Vanderlei Martins
Department of Physics, University of Maryland Baltimore County, 1000 Hilltop Circle, Baltimore, MD 21250, USA
Joint Center for Earth Systems Technology, University of Maryland Baltimore County, 5523 Research Park DR, Baltimore, MD 21228, USA
Lorraine A. Remer
Department of Physics, University of Maryland Baltimore County, 1000 Hilltop Circle, Baltimore, MD 21250, USA
Joint Center for Earth Systems Technology, University of Maryland Baltimore County, 5523 Research Park DR, Baltimore, MD 21228, USA
Anin Puthukkudy
Department of Physics, University of Maryland Baltimore County, 1000 Hilltop Circle, Baltimore, MD 21250, USA
Joint Center for Earth Systems Technology, University of Maryland Baltimore County, 5523 Research Park DR, Baltimore, MD 21228, USA
Daniel Orozco
Department of Physics, University of Maryland Baltimore County, 1000 Hilltop Circle, Baltimore, MD 21250, USA
Joint Center for Earth Systems Technology, University of Maryland Baltimore County, 5523 Research Park DR, Baltimore, MD 21228, USA
Gergely Dolgos
Department of Physics, University of Maryland Baltimore County, 1000 Hilltop Circle, Baltimore, MD 21250, USA
Joint Center for Earth Systems Technology, University of Maryland Baltimore County, 5523 Research Park DR, Baltimore, MD 21228, USA
Micos Engineering GmbH, Überlandstrasse 129, 8600, Dübendorf, Switzerland
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Cited
11 citations as recorded by crossref.
- Polarized adding method of discrete ordinate approximation for ultraviolet-visible and near-infrared radiative transfer K. Wu et al. 10.1364/OE.495589
- Enhancing Our Vision of Aerosols: Progress in Scattering Phase Function Measurements Y. Bian & C. Zhao 10.1007/s40726-024-00292-z
- Retrievals of Aerosol Size Distribution, Spherical Fraction, and Complex Refractive Index From Airborne In Situ Angular Light Scattering and Absorption Measurements W. Espinosa et al. 10.1029/2018JD030009
- Modeling Atmosphere-Ocean Radiative Transfer: A PACE Mission Perspective J. Chowdhary et al. 10.3389/feart.2019.00100
- A method to obtain scattering phase function based on particle size distribution and refractive index retrieved from Aurora 4000 multi-angle scattering measurements: A numerical study L. Ran et al. 10.1016/j.atmosenv.2023.120138
- Optimization of the Polarized Imaging Nephelometer (PI-Neph) for continuous monitoring of multiwavelength aerosol phase functions in support of space polarimetry missions E. Bazo et al. 10.1016/j.atmosenv.2023.120181
- Identifying chemical aerosol signatures using optical suborbital observations: how much can optical properties tell us about aerosol composition? M. Kacenelenbogen et al. 10.5194/acp-22-3713-2022
- 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
- Detailed characterization of the CAPS single-scattering albedo monitor (CAPS PMssa) as a field-deployable instrument for measuring aerosol light absorption with the extinction-minus-scattering method R. Modini et al. 10.5194/amt-14-819-2021
- Mineral dust optical properties for remote sensing and global modeling: A review P. Castellanos et al. 10.1016/j.rse.2023.113982
- Dust Aerosol Retrieval Over the Oceans With the MODIS/VIIRS Dark Target Algorithm: 2. Nonspherical Dust Model Y. Zhou et al. 10.1029/2020EA001222
11 citations as recorded by crossref.
- Polarized adding method of discrete ordinate approximation for ultraviolet-visible and near-infrared radiative transfer K. Wu et al. 10.1364/OE.495589
- Enhancing Our Vision of Aerosols: Progress in Scattering Phase Function Measurements Y. Bian & C. Zhao 10.1007/s40726-024-00292-z
- Retrievals of Aerosol Size Distribution, Spherical Fraction, and Complex Refractive Index From Airborne In Situ Angular Light Scattering and Absorption Measurements W. Espinosa et al. 10.1029/2018JD030009
- Modeling Atmosphere-Ocean Radiative Transfer: A PACE Mission Perspective J. Chowdhary et al. 10.3389/feart.2019.00100
- A method to obtain scattering phase function based on particle size distribution and refractive index retrieved from Aurora 4000 multi-angle scattering measurements: A numerical study L. Ran et al. 10.1016/j.atmosenv.2023.120138
- Optimization of the Polarized Imaging Nephelometer (PI-Neph) for continuous monitoring of multiwavelength aerosol phase functions in support of space polarimetry missions E. Bazo et al. 10.1016/j.atmosenv.2023.120181
- Identifying chemical aerosol signatures using optical suborbital observations: how much can optical properties tell us about aerosol composition? M. Kacenelenbogen et al. 10.5194/acp-22-3713-2022
- 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
- Detailed characterization of the CAPS single-scattering albedo monitor (CAPS PMssa) as a field-deployable instrument for measuring aerosol light absorption with the extinction-minus-scattering method R. Modini et al. 10.5194/amt-14-819-2021
- Mineral dust optical properties for remote sensing and global modeling: A review P. Castellanos et al. 10.1016/j.rse.2023.113982
- Dust Aerosol Retrieval Over the Oceans With the MODIS/VIIRS Dark Target Algorithm: 2. Nonspherical Dust Model Y. Zhou et al. 10.1029/2020EA001222
Latest update: 23 Nov 2024
Short summary
This work presents airborne, angularly resolved measurements of light scattered by atmospheric aerosols. A classification scheme, making use of optically independent ancillary data, is developed and used to categorize each of the individual light-scattering measurements. This classification is shown to correlate very strongly with the measured aerosol scattering properties demonstrating that in situ angular light-scattering measurements alone are sufficient to identify many major aerosol types.
This work presents airborne, angularly resolved measurements of light scattered by atmospheric...
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