Retrieval of UV–visible aerosol absorption using AERONET and OMI–MODIS synergy: spatial and temporal variability across major aerosol environments

Measuring spectral aerosol absorption remains a challenging task in aerosol studies, especially in the UV region, where ground and airborne measurements are sparse. In this paper, we introduce an algorithm that synergizes ground measurements with satellite observations for the derivation of spectral...

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Published in:Atmospheric Measurement Techniques
Main Authors: V. Kayetha, O. Torres, H. Jethva
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2022
Subjects:
Online Access:https://doi.org/10.5194/amt-15-845-2022
https://doaj.org/article/f34180b5c9544b9da13c1ba77172e90c
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spelling ftdoajarticles:oai:doaj.org/article:f34180b5c9544b9da13c1ba77172e90c 2023-05-15T13:06:56+02:00 Retrieval of UV–visible aerosol absorption using AERONET and OMI–MODIS synergy: spatial and temporal variability across major aerosol environments V. Kayetha O. Torres H. Jethva 2022-02-01T00:00:00Z https://doi.org/10.5194/amt-15-845-2022 https://doaj.org/article/f34180b5c9544b9da13c1ba77172e90c EN eng Copernicus Publications https://amt.copernicus.org/articles/15/845/2022/amt-15-845-2022.pdf https://doaj.org/toc/1867-1381 https://doaj.org/toc/1867-8548 doi:10.5194/amt-15-845-2022 1867-1381 1867-8548 https://doaj.org/article/f34180b5c9544b9da13c1ba77172e90c Atmospheric Measurement Techniques, Vol 15, Pp 845-877 (2022) Environmental engineering TA170-171 Earthwork. Foundations TA715-787 article 2022 ftdoajarticles https://doi.org/10.5194/amt-15-845-2022 2022-12-31T15:13:27Z Measuring spectral aerosol absorption remains a challenging task in aerosol studies, especially in the UV region, where ground and airborne measurements are sparse. In this paper, we introduce an algorithm that synergizes ground measurements with satellite observations for the derivation of spectral single scattering albedo (SSA, ω o ) of aerosols in the UV-to-visible wavelength range (340–670 nm). The approach consists in explaining satellite-measured near-UV radiances (340, 354, 388 nm) by the Ozone Monitoring Instrument (OMI) and visible radiances (466, 646 nm) by the Moderate Resolution Imaging Spectroradiometer (MODIS), given the collocated ground-based Aerosol Robotic Network (AERONET) measurements of total column extinction aerosol optical depth (AOD, τ ), in terms of retrieved total column wavelength-dependent SSA using radiative transfer calculations. Required information on aerosol particle size distribution is adopted from AERONET-based aerosol type-dependent seasonal climatologies specifically developed for this project. The inversion procedure is applied to about 110 AERONET sites distributed worldwide, for which continuous, long-term AERONET measurements are available. Using the derived data set, we present seasonal and regional climatology of ω o ( λ ) for carbonaceous, dust, and urban/industrial aerosols. The resulting UV–visible spectral dependence of ω o obtained for these three major aerosol types is found to be both qualitatively and quantitatively consistent with independent measurements reported in the literature. A comparison to standard AERONET SSA product at 440 nm shows absolute differences within 0.03 (0.05) for 40 % (65 %) of the compared observations. The derived aerosol ω o ( λ ) data set provides a valuable addition to the existing aerosol absorption record from AERONET by extending it to the near-UV region. Furthermore, SSA retrievals from our method at visible wavelengths and around satellite overpass time also complement the equivalent inversion available during early ... Article in Journal/Newspaper Aerosol Robotic Network Directory of Open Access Journals: DOAJ Articles Atmospheric Measurement Techniques 15 4 845 877
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Environmental engineering
TA170-171
Earthwork. Foundations
TA715-787
spellingShingle Environmental engineering
TA170-171
Earthwork. Foundations
TA715-787
V. Kayetha
O. Torres
H. Jethva
Retrieval of UV–visible aerosol absorption using AERONET and OMI–MODIS synergy: spatial and temporal variability across major aerosol environments
topic_facet Environmental engineering
TA170-171
Earthwork. Foundations
TA715-787
description Measuring spectral aerosol absorption remains a challenging task in aerosol studies, especially in the UV region, where ground and airborne measurements are sparse. In this paper, we introduce an algorithm that synergizes ground measurements with satellite observations for the derivation of spectral single scattering albedo (SSA, ω o ) of aerosols in the UV-to-visible wavelength range (340–670 nm). The approach consists in explaining satellite-measured near-UV radiances (340, 354, 388 nm) by the Ozone Monitoring Instrument (OMI) and visible radiances (466, 646 nm) by the Moderate Resolution Imaging Spectroradiometer (MODIS), given the collocated ground-based Aerosol Robotic Network (AERONET) measurements of total column extinction aerosol optical depth (AOD, τ ), in terms of retrieved total column wavelength-dependent SSA using radiative transfer calculations. Required information on aerosol particle size distribution is adopted from AERONET-based aerosol type-dependent seasonal climatologies specifically developed for this project. The inversion procedure is applied to about 110 AERONET sites distributed worldwide, for which continuous, long-term AERONET measurements are available. Using the derived data set, we present seasonal and regional climatology of ω o ( λ ) for carbonaceous, dust, and urban/industrial aerosols. The resulting UV–visible spectral dependence of ω o obtained for these three major aerosol types is found to be both qualitatively and quantitatively consistent with independent measurements reported in the literature. A comparison to standard AERONET SSA product at 440 nm shows absolute differences within 0.03 (0.05) for 40 % (65 %) of the compared observations. The derived aerosol ω o ( λ ) data set provides a valuable addition to the existing aerosol absorption record from AERONET by extending it to the near-UV region. Furthermore, SSA retrievals from our method at visible wavelengths and around satellite overpass time also complement the equivalent inversion available during early ...
format Article in Journal/Newspaper
author V. Kayetha
O. Torres
H. Jethva
author_facet V. Kayetha
O. Torres
H. Jethva
author_sort V. Kayetha
title Retrieval of UV–visible aerosol absorption using AERONET and OMI–MODIS synergy: spatial and temporal variability across major aerosol environments
title_short Retrieval of UV–visible aerosol absorption using AERONET and OMI–MODIS synergy: spatial and temporal variability across major aerosol environments
title_full Retrieval of UV–visible aerosol absorption using AERONET and OMI–MODIS synergy: spatial and temporal variability across major aerosol environments
title_fullStr Retrieval of UV–visible aerosol absorption using AERONET and OMI–MODIS synergy: spatial and temporal variability across major aerosol environments
title_full_unstemmed Retrieval of UV–visible aerosol absorption using AERONET and OMI–MODIS synergy: spatial and temporal variability across major aerosol environments
title_sort retrieval of uv–visible aerosol absorption using aeronet and omi–modis synergy: spatial and temporal variability across major aerosol environments
publisher Copernicus Publications
publishDate 2022
url https://doi.org/10.5194/amt-15-845-2022
https://doaj.org/article/f34180b5c9544b9da13c1ba77172e90c
genre Aerosol Robotic Network
genre_facet Aerosol Robotic Network
op_source Atmospheric Measurement Techniques, Vol 15, Pp 845-877 (2022)
op_relation https://amt.copernicus.org/articles/15/845/2022/amt-15-845-2022.pdf
https://doaj.org/toc/1867-1381
https://doaj.org/toc/1867-8548
doi:10.5194/amt-15-845-2022
1867-1381
1867-8548
https://doaj.org/article/f34180b5c9544b9da13c1ba77172e90c
op_doi https://doi.org/10.5194/amt-15-845-2022
container_title Atmospheric Measurement Techniques
container_volume 15
container_issue 4
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