Articles | Volume 7, issue 10
https://doi.org/10.5194/amt-7-3247-2014
© 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/amt-7-3247-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
01 Oct 2014
Research article |
| 01 Oct 2014
Simultaneous retrieval of effective refractive index and density from size distribution and light-scattering data: weakly absorbing aerosol
E. Kassianov
Pacific Northwest National Laboratory, Richland, WA 99352, USA
J. Barnard
Pacific Northwest National Laboratory, Richland, WA 99352, USA
M. Pekour
Pacific Northwest National Laboratory, Richland, WA 99352, USA
L. K. Berg
Pacific Northwest National Laboratory, Richland, WA 99352, USA
J. Shilling
Pacific Northwest National Laboratory, Richland, WA 99352, USA
C. Flynn
Pacific Northwest National Laboratory, Richland, WA 99352, USA
Pacific Northwest National Laboratory, Richland, WA 99352, USA
A. Jefferson
Cooperative Institute for Research in Environmental Sciences, University of Colorado, Boulder, CO 80305, USA
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Cited
18 citations as recorded by crossref.
- Airborne Aerosol in Situ Measurements during TCAP: A Closure Study of Total Scattering E. Kassianov et al. 10.3390/atmos6081069
- Impact of particle size, refractive index, and shape on the determination of the particle scattering coefficient – an optical closure study evaluating different nephelometer angular truncation and illumination corrections M. Teri et al. 10.5194/amt-15-3161-2022
- A review of measurement techniques for aerosol effective density L. Peng et al. 10.1016/j.scitotenv.2021.146248
- The Effects of Local Pollution and Transport Dust on Aerosol Properties in Typical Arid Regions of Central Asia during DAO-K Measurement Y. Wei et al. 10.3390/atmos13050729
- Aerosol Optical and Microphysical Properties of Four Typical Sites of SONET in China Based on Remote Sensing Measurements Y. Xie et al. 10.3390/rs70809928
- An Exploratory Approach Using Regression and Machine Learning in the Analysis of Mass Absorption Cross Section of Black Carbon Aerosols: Model Development and Evaluation H. Li & A. May 10.3390/atmos11111185
- The Two‐Column Aerosol Project: Phase I—Overview and impact of elevated aerosol layers on aerosol optical depth L. Berg et al. 10.1002/2015JD023848
- MOPSMAP v1.0: a versatile tool for the modeling of aerosol optical properties J. Gasteiger & M. Wiegner 10.5194/gmd-11-2739-2018
- Inhibition of inhaled halloysite nanotube toxicity by trehalose through enhanced autophagic clearance of p62 R. Rong et al. 10.1080/17435390.2018.1549688
- Estimating cloud condensation nuclei number concentrations using aerosol optical properties: role of particle number size distribution and parameterization Y. Shen et al. 10.5194/acp-19-15483-2019
- Theoretical Foundation of the Relationship between Three Definitions of Effective Density and Particle Size L. Peng & Y. Liu 10.3390/atmos13040564
- A new method to quantify mineral dust and other aerosol species from aircraft platforms using single-particle mass spectrometry K. Froyd et al. 10.5194/amt-12-6209-2019
- Retrieval of Atmospheric Fine Particulate Density Based on Merging Particle Size Distribution Measurements: Multi‐instrument Observation and Quality Control at Shouxian Z. Li et al. 10.1029/2018JD028956
- Determination of the refractive index of ambient aerosols G. Zhao et al. 10.1016/j.atmosenv.2020.117800
- Estimation of atmospheric aerosol composition from ground‐based remote sensing measurements of Sun‐sky radiometer Y. Xie et al. 10.1002/2016JD025839
- Comparing aerosol refractive indices retrieved from full distribution and size- and mass-selected measurements J. Radney & C. Zangmeister 10.1016/j.jqsrt.2018.08.021
- Real-time retrieval of aerosol chemical composition using effective density and the imaginary part of complex refractive index S. Wang et al. 10.1016/j.atmosenv.2020.117959
- Application of machine learning approaches in the analysis of mass absorption cross-section of black carbon aerosols: Aerosol composition dependencies and sensitivity analyses A. May & H. Li 10.1080/02786826.2022.2114312
18 citations as recorded by crossref.
- Airborne Aerosol in Situ Measurements during TCAP: A Closure Study of Total Scattering E. Kassianov et al. 10.3390/atmos6081069
- Impact of particle size, refractive index, and shape on the determination of the particle scattering coefficient – an optical closure study evaluating different nephelometer angular truncation and illumination corrections M. Teri et al. 10.5194/amt-15-3161-2022
- A review of measurement techniques for aerosol effective density L. Peng et al. 10.1016/j.scitotenv.2021.146248
- The Effects of Local Pollution and Transport Dust on Aerosol Properties in Typical Arid Regions of Central Asia during DAO-K Measurement Y. Wei et al. 10.3390/atmos13050729
- Aerosol Optical and Microphysical Properties of Four Typical Sites of SONET in China Based on Remote Sensing Measurements Y. Xie et al. 10.3390/rs70809928
- An Exploratory Approach Using Regression and Machine Learning in the Analysis of Mass Absorption Cross Section of Black Carbon Aerosols: Model Development and Evaluation H. Li & A. May 10.3390/atmos11111185
- The Two‐Column Aerosol Project: Phase I—Overview and impact of elevated aerosol layers on aerosol optical depth L. Berg et al. 10.1002/2015JD023848
- MOPSMAP v1.0: a versatile tool for the modeling of aerosol optical properties J. Gasteiger & M. Wiegner 10.5194/gmd-11-2739-2018
- Inhibition of inhaled halloysite nanotube toxicity by trehalose through enhanced autophagic clearance of p62 R. Rong et al. 10.1080/17435390.2018.1549688
- Estimating cloud condensation nuclei number concentrations using aerosol optical properties: role of particle number size distribution and parameterization Y. Shen et al. 10.5194/acp-19-15483-2019
- Theoretical Foundation of the Relationship between Three Definitions of Effective Density and Particle Size L. Peng & Y. Liu 10.3390/atmos13040564
- A new method to quantify mineral dust and other aerosol species from aircraft platforms using single-particle mass spectrometry K. Froyd et al. 10.5194/amt-12-6209-2019
- Retrieval of Atmospheric Fine Particulate Density Based on Merging Particle Size Distribution Measurements: Multi‐instrument Observation and Quality Control at Shouxian Z. Li et al. 10.1029/2018JD028956
- Determination of the refractive index of ambient aerosols G. Zhao et al. 10.1016/j.atmosenv.2020.117800
- Estimation of atmospheric aerosol composition from ground‐based remote sensing measurements of Sun‐sky radiometer Y. Xie et al. 10.1002/2016JD025839
- Comparing aerosol refractive indices retrieved from full distribution and size- and mass-selected measurements J. Radney & C. Zangmeister 10.1016/j.jqsrt.2018.08.021
- Real-time retrieval of aerosol chemical composition using effective density and the imaginary part of complex refractive index S. Wang et al. 10.1016/j.atmosenv.2020.117959
- Application of machine learning approaches in the analysis of mass absorption cross-section of black carbon aerosols: Aerosol composition dependencies and sensitivity analyses A. May & H. Li 10.1080/02786826.2022.2114312
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