Mixing weight determination for retrieving optical properties of polluted dust with MODIS and AERONET data
In this study, an approach in determining effective mixing weight of soot aggregates from dust–soot aerosols is proposed to improve the accuracy of retrieving properties of polluted dusts by means of satellite remote sensing. Based on a pre-computed database containing several variables (such as wav...
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ftdoajarticles:oai:doaj.org/article:9401b3d40bd240ad987fe0746c4b2e14 2023-09-05T13:11:17+02:00 Mixing weight determination for retrieving optical properties of polluted dust with MODIS and AERONET data Kuo-En Chang Ta-Chih Hsiao N Christina Hsu Neng-Huei Lin Sheng-Hsiang Wang Gin-Rong Liu Chian-Yi Liu Tang-Huang Lin 2016-01-01T00:00:00Z https://doi.org/10.1088/1748-9326/11/8/085002 https://doaj.org/article/9401b3d40bd240ad987fe0746c4b2e14 EN eng IOP Publishing https://doi.org/10.1088/1748-9326/11/8/085002 https://doaj.org/toc/1748-9326 doi:10.1088/1748-9326/11/8/085002 1748-9326 https://doaj.org/article/9401b3d40bd240ad987fe0746c4b2e14 Environmental Research Letters, Vol 11, Iss 8, p 085002 (2016) mixing weight dust-soot aerosols MODIS AOD SSA AERONET Environmental technology. Sanitary engineering TD1-1066 Environmental sciences GE1-350 Science Q Physics QC1-999 article 2016 ftdoajarticles https://doi.org/10.1088/1748-9326/11/8/085002 2023-08-13T00:37:50Z In this study, an approach in determining effective mixing weight of soot aggregates from dust–soot aerosols is proposed to improve the accuracy of retrieving properties of polluted dusts by means of satellite remote sensing. Based on a pre-computed database containing several variables (such as wavelength, refractive index, soot mixing weight, surface reflectivity, observation geometries and aerosol optical depth (AOD)), the fan-shaped look-up tables can be drawn out accordingly for determining the mixing weights, AOD and single scattering albedo (SSA) of polluted dusts simultaneously with auxiliary regional dust properties and surface reflectivity. To validate the performance of the approach in this study, 6 cases study of polluted dusts (dust–soot aerosols) in Lower Egypt and Israel were examined with the ground-based measurements through AErosol RObotic NETwork (AERONET). The results show that the mean absolute differences could be reduced from 32.95% to 6.56% in AOD and from 2.67% to 0.83% in SSA retrievals for MODIS aerosol products when referenced to AERONET measurements, demonstrating the soundness of the proposed approach under different levels of dust loading, mixing weight and surface reflectivity. Furthermore, the developed algorithm is capable of providing the spatial distribution of the mixing weights and removing the requirement to assume that the dust plume properties are uniform. The case study further shows the spatially variant dust–soot mixing weight would improve the retrieval accuracy in AOD _mixture and SSA _mixture about 10.0% and 1.4% respectively. Article in Journal/Newspaper Aerosol Robotic Network Directory of Open Access Journals: DOAJ Articles Environmental Research Letters 11 8 085002 |
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Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
mixing weight dust-soot aerosols MODIS AOD SSA AERONET Environmental technology. Sanitary engineering TD1-1066 Environmental sciences GE1-350 Science Q Physics QC1-999 |
spellingShingle |
mixing weight dust-soot aerosols MODIS AOD SSA AERONET Environmental technology. Sanitary engineering TD1-1066 Environmental sciences GE1-350 Science Q Physics QC1-999 Kuo-En Chang Ta-Chih Hsiao N Christina Hsu Neng-Huei Lin Sheng-Hsiang Wang Gin-Rong Liu Chian-Yi Liu Tang-Huang Lin Mixing weight determination for retrieving optical properties of polluted dust with MODIS and AERONET data |
topic_facet |
mixing weight dust-soot aerosols MODIS AOD SSA AERONET Environmental technology. Sanitary engineering TD1-1066 Environmental sciences GE1-350 Science Q Physics QC1-999 |
description |
In this study, an approach in determining effective mixing weight of soot aggregates from dust–soot aerosols is proposed to improve the accuracy of retrieving properties of polluted dusts by means of satellite remote sensing. Based on a pre-computed database containing several variables (such as wavelength, refractive index, soot mixing weight, surface reflectivity, observation geometries and aerosol optical depth (AOD)), the fan-shaped look-up tables can be drawn out accordingly for determining the mixing weights, AOD and single scattering albedo (SSA) of polluted dusts simultaneously with auxiliary regional dust properties and surface reflectivity. To validate the performance of the approach in this study, 6 cases study of polluted dusts (dust–soot aerosols) in Lower Egypt and Israel were examined with the ground-based measurements through AErosol RObotic NETwork (AERONET). The results show that the mean absolute differences could be reduced from 32.95% to 6.56% in AOD and from 2.67% to 0.83% in SSA retrievals for MODIS aerosol products when referenced to AERONET measurements, demonstrating the soundness of the proposed approach under different levels of dust loading, mixing weight and surface reflectivity. Furthermore, the developed algorithm is capable of providing the spatial distribution of the mixing weights and removing the requirement to assume that the dust plume properties are uniform. The case study further shows the spatially variant dust–soot mixing weight would improve the retrieval accuracy in AOD _mixture and SSA _mixture about 10.0% and 1.4% respectively. |
format |
Article in Journal/Newspaper |
author |
Kuo-En Chang Ta-Chih Hsiao N Christina Hsu Neng-Huei Lin Sheng-Hsiang Wang Gin-Rong Liu Chian-Yi Liu Tang-Huang Lin |
author_facet |
Kuo-En Chang Ta-Chih Hsiao N Christina Hsu Neng-Huei Lin Sheng-Hsiang Wang Gin-Rong Liu Chian-Yi Liu Tang-Huang Lin |
author_sort |
Kuo-En Chang |
title |
Mixing weight determination for retrieving optical properties of polluted dust with MODIS and AERONET data |
title_short |
Mixing weight determination for retrieving optical properties of polluted dust with MODIS and AERONET data |
title_full |
Mixing weight determination for retrieving optical properties of polluted dust with MODIS and AERONET data |
title_fullStr |
Mixing weight determination for retrieving optical properties of polluted dust with MODIS and AERONET data |
title_full_unstemmed |
Mixing weight determination for retrieving optical properties of polluted dust with MODIS and AERONET data |
title_sort |
mixing weight determination for retrieving optical properties of polluted dust with modis and aeronet data |
publisher |
IOP Publishing |
publishDate |
2016 |
url |
https://doi.org/10.1088/1748-9326/11/8/085002 https://doaj.org/article/9401b3d40bd240ad987fe0746c4b2e14 |
genre |
Aerosol Robotic Network |
genre_facet |
Aerosol Robotic Network |
op_source |
Environmental Research Letters, Vol 11, Iss 8, p 085002 (2016) |
op_relation |
https://doi.org/10.1088/1748-9326/11/8/085002 https://doaj.org/toc/1748-9326 doi:10.1088/1748-9326/11/8/085002 1748-9326 https://doaj.org/article/9401b3d40bd240ad987fe0746c4b2e14 |
op_doi |
https://doi.org/10.1088/1748-9326/11/8/085002 |
container_title |
Environmental Research Letters |
container_volume |
11 |
container_issue |
8 |
container_start_page |
085002 |
_version_ |
1776201812472233984 |