Aerosol-optics model for the backscatter depolarisation ratio of mineral dust particles. (October 2020)
- Record Type:
- Journal Article
- Title:
- Aerosol-optics model for the backscatter depolarisation ratio of mineral dust particles. (October 2020)
- Main Title:
- Aerosol-optics model for the backscatter depolarisation ratio of mineral dust particles
- Authors:
- Kahnert, Michael
Kanngießer, Franz
Järvinen, Emma
Schnaiter, Martin - Abstract:
- Highlights: Laboratory measurements of the linear backscatter depolarisation ratio of 131 mineral dust samples are modelled with spheroids. Minimum-bias and minimum-variance fit of the data shows that mildly aspherical particles best represent the observations. Sensitivity analysis shows that the variation of the data about the mean can be explained by varying the dielectric properties and by random distortions of the geometry. Abstract: The size-dependence of the linear depolarisation ratio of mineral dust aerosols is investigated. Laboratory measurements on 131 different aerosol samples with varying size distributions and mineralogical compositions are fitted with a homogeneous spheroid model. A minimum-bias and minimum-variance fit of the data is obtained for prolate model particles with a refractive index of 1.525+0.001i and an aspect ratio of 0.87. The model error is analysed by varying the input parameters to the light-scattering computations. It is found that the scattering of the measurements about the model can mainly be explained by variation of the morphology and dielectric properties, and to a much lesser extent by variation in the geometric standard deviation of the size distribution. The modelling of the data is extended by using size-shape distributions of spheroids. The results indicate that there is some freedom in choosing the best-fit weights of the shape-distribution of spheroids, which could potentially be useful when extending the model to multipleHighlights: Laboratory measurements of the linear backscatter depolarisation ratio of 131 mineral dust samples are modelled with spheroids. Minimum-bias and minimum-variance fit of the data shows that mildly aspherical particles best represent the observations. Sensitivity analysis shows that the variation of the data about the mean can be explained by varying the dielectric properties and by random distortions of the geometry. Abstract: The size-dependence of the linear depolarisation ratio of mineral dust aerosols is investigated. Laboratory measurements on 131 different aerosol samples with varying size distributions and mineralogical compositions are fitted with a homogeneous spheroid model. A minimum-bias and minimum-variance fit of the data is obtained for prolate model particles with a refractive index of 1.525+0.001i and an aspect ratio of 0.87. The model error is analysed by varying the input parameters to the light-scattering computations. It is found that the scattering of the measurements about the model can mainly be explained by variation of the morphology and dielectric properties, and to a much lesser extent by variation in the geometric standard deviation of the size distribution. The modelling of the data is extended by using size-shape distributions of spheroids. The results indicate that there is some freedom in choosing the best-fit weights of the shape-distribution of spheroids, which could potentially be useful when extending the model to multiple wavelengths, or to including additional optical parameters other than depolarisation. However, it is also found that the most reasonable fits of the data are obtained by mildly aspherical prolate and oblate spheroids, which limits the freedom of adjusting the best-fit weights. … (more)
- Is Part Of:
- Journal of quantitative spectroscopy & radiative transfer. Volume 254(2020)
- Journal:
- Journal of quantitative spectroscopy & radiative transfer
- Issue:
- Volume 254(2020)
- Issue Display:
- Volume 254, Issue 2020 (2020)
- Year:
- 2020
- Volume:
- 254
- Issue:
- 2020
- Issue Sort Value:
- 2020-0254-2020-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-10
- Subjects:
- Atmospheric optics -- Aerosol -- Mineral dust -- Depolarization
Spectrum analysis -- Periodicals
Radiation -- Periodicals
Analyse spectrale -- Périodiques
Rayonnement -- Périodiques
Radiation
Spectrum analysis
Periodicals
543.0858 - Journal URLs:
- http://www.sciencedirect.com/science/journal/00224073 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.jqsrt.2020.107177 ↗
- Languages:
- English
- ISSNs:
- 0022-4073
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5043.700000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 14310.xml