2018
DOI: 10.5194/acp-18-5499-2018
|View full text |Cite
|
Sign up to set email alerts
|

Using spectral methods to obtain particle size information from optical data: applications to measurements from CARES 2010

Abstract: Abstract. Multi-wavelength in situ aerosol extinction, absorption and scattering measurements made at two ground sites during the 2010 Carbonaceous Aerosols and Radiative Effects Study (CARES) are analyzed using a spectral deconvolution method that allows extraction of particle-sizerelated information, including the fraction of extinction produced by the fine-mode particles and the effective radius of the fine mode. The spectral deconvolution method is typically applied to analysis of remote sensing measuremen… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
6
0

Year Published

2020
2020
2023
2023

Publication Types

Select...
4

Relationship

2
2

Authors

Journals

citations
Cited by 4 publications
(6 citation statements)
references
References 43 publications
0
6
0
Order By: Relevance
“…Based on the in-situ measurements, the multispectral optical properties can not only provide information on particle size distribution [41] but also can calculate aerosol fine and coarse mode scattering and extinction coefficients by means of the extended spectral deconvolution algorithm (DSA+) methodology provided by Kaku et al [42]. To enhance subtle spectral features, derivative spectroscopy methods (see [43] for a recent review) on the basis of nth-order derivatives have been applied to the investigation of pharmacology, medical biology and satellite oceanography [44][45][46][47][48][49][50].…”
Section: Introductionmentioning
confidence: 99%
“…Based on the in-situ measurements, the multispectral optical properties can not only provide information on particle size distribution [41] but also can calculate aerosol fine and coarse mode scattering and extinction coefficients by means of the extended spectral deconvolution algorithm (DSA+) methodology provided by Kaku et al [42]. To enhance subtle spectral features, derivative spectroscopy methods (see [43] for a recent review) on the basis of nth-order derivatives have been applied to the investigation of pharmacology, medical biology and satellite oceanography [44][45][46][47][48][49][50].…”
Section: Introductionmentioning
confidence: 99%
“…Although the corresponding Ångström exponent can also be applied for describing this wavelength dependence (e.g., Delene & Ogren, 2002), such an alternative is not considered in our initial analysis. It should be noted that the SCA_ratio represents a quite narrow spectral range (0.45–0.7 μm); thus, it is mostly sensitive to the submicron particles (e.g., Atkinson et al, 2018). In other words, the SCA_ratio alone is not well suited for describing a link between the light scattering and PM 10,v .…”
Section: Approachmentioning
confidence: 99%
“…In the most controlled experiments, volume-sampled SMF estimates are compared with FMF retrievals derived from applying the SDA to volume-sampled, three-channel CRD (cavity ring-down) or three-channel nephelometer "spectra" (Atkinson et al, 2010;Kaku et al, 2014 (Ka); Atkinson et al, 2018). In general we find, as expected, the SMF to be FMF in Atkinson et al (2010) and Ka: this is notably true at the near-IR (700 nm) wavelength in Ka (ACE-Asia data of their Fig.…”
mentioning
confidence: 99%