Estimation of Aerosol Columnar Size Distribution from Spectral Extinction Data in Coastal and Maritime Environment

Aerosol columnar size distributions (SDs) are commonly provided by aerosol inversions based on measurements of both spectral extinction and sky radiance. These inversions developed for a fully clear sky offer few SDs for areas with abundant clouds. Here, we estimate SDs from spectral extinction data...

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Autores principales: Evgueni Kassianov, Mikhail Pekour, James Barnard, Connor J. Flynn, Fan Mei, Larry K. Berg
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Lenguaje:EN
Publicado: MDPI AG 2021
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spelling oai:doaj.org-article:304b90bb66ef48c88c6e37c34a1d02f22021-11-25T16:44:17ZEstimation of Aerosol Columnar Size Distribution from Spectral Extinction Data in Coastal and Maritime Environment10.3390/atmos121114122073-4433https://doaj.org/article/304b90bb66ef48c88c6e37c34a1d02f22021-10-01T00:00:00Zhttps://www.mdpi.com/2073-4433/12/11/1412https://doaj.org/toc/2073-4433Aerosol columnar size distributions (SDs) are commonly provided by aerosol inversions based on measurements of both spectral extinction and sky radiance. These inversions developed for a fully clear sky offer few SDs for areas with abundant clouds. Here, we estimate SDs from spectral extinction data alone for cloudy coastal and maritime regions using aerosol refractive index (RI) obtained from chemical composition data. Our estimation involves finding volume and mean radius of lognormally distributed modes of an assumed bimodal size distribution through fitting of the spectral extinction data. We demonstrate that vertically integrated SDs obtained from aircraft measurements over a coastal site have distinct seasonal changes, and these changes are captured reasonably well by the estimated columnar SDs. We also demonstrate that similar seasonal changes occur at a maritime site, and columnar SDs retrieved from the combined extinction and sky radiance measurements are approximated quite well by their extinction only counterparts (correlation exceeds 0.9) during a 7-year period (2013–2019). The level of agreement between the estimated and retrieved SDs depends weakly on wavelength selection within a given spectral interval (roughly 0.4–1 µm). Since the extinction-based estimations can be performed frequently for partly cloudy skies, the number of periods where SDs can be found is greatly increased.Evgueni KassianovMikhail PekourJames BarnardConnor J. FlynnFan MeiLarry K. BergMDPI AGarticleaerosol size distributions from ground-based and aircraft observationsaerosol refractive index from chemical composition datacoastal and maritime sites with low aerosol loading and abundance of cloudsMeteorology. ClimatologyQC851-999ENAtmosphere, Vol 12, Iss 1412, p 1412 (2021)
institution DOAJ
collection DOAJ
language EN
topic aerosol size distributions from ground-based and aircraft observations
aerosol refractive index from chemical composition data
coastal and maritime sites with low aerosol loading and abundance of clouds
Meteorology. Climatology
QC851-999
spellingShingle aerosol size distributions from ground-based and aircraft observations
aerosol refractive index from chemical composition data
coastal and maritime sites with low aerosol loading and abundance of clouds
Meteorology. Climatology
QC851-999
Evgueni Kassianov
Mikhail Pekour
James Barnard
Connor J. Flynn
Fan Mei
Larry K. Berg
Estimation of Aerosol Columnar Size Distribution from Spectral Extinction Data in Coastal and Maritime Environment
description Aerosol columnar size distributions (SDs) are commonly provided by aerosol inversions based on measurements of both spectral extinction and sky radiance. These inversions developed for a fully clear sky offer few SDs for areas with abundant clouds. Here, we estimate SDs from spectral extinction data alone for cloudy coastal and maritime regions using aerosol refractive index (RI) obtained from chemical composition data. Our estimation involves finding volume and mean radius of lognormally distributed modes of an assumed bimodal size distribution through fitting of the spectral extinction data. We demonstrate that vertically integrated SDs obtained from aircraft measurements over a coastal site have distinct seasonal changes, and these changes are captured reasonably well by the estimated columnar SDs. We also demonstrate that similar seasonal changes occur at a maritime site, and columnar SDs retrieved from the combined extinction and sky radiance measurements are approximated quite well by their extinction only counterparts (correlation exceeds 0.9) during a 7-year period (2013–2019). The level of agreement between the estimated and retrieved SDs depends weakly on wavelength selection within a given spectral interval (roughly 0.4–1 µm). Since the extinction-based estimations can be performed frequently for partly cloudy skies, the number of periods where SDs can be found is greatly increased.
format article
author Evgueni Kassianov
Mikhail Pekour
James Barnard
Connor J. Flynn
Fan Mei
Larry K. Berg
author_facet Evgueni Kassianov
Mikhail Pekour
James Barnard
Connor J. Flynn
Fan Mei
Larry K. Berg
author_sort Evgueni Kassianov
title Estimation of Aerosol Columnar Size Distribution from Spectral Extinction Data in Coastal and Maritime Environment
title_short Estimation of Aerosol Columnar Size Distribution from Spectral Extinction Data in Coastal and Maritime Environment
title_full Estimation of Aerosol Columnar Size Distribution from Spectral Extinction Data in Coastal and Maritime Environment
title_fullStr Estimation of Aerosol Columnar Size Distribution from Spectral Extinction Data in Coastal and Maritime Environment
title_full_unstemmed Estimation of Aerosol Columnar Size Distribution from Spectral Extinction Data in Coastal and Maritime Environment
title_sort estimation of aerosol columnar size distribution from spectral extinction data in coastal and maritime environment
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/304b90bb66ef48c88c6e37c34a1d02f2
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