Mixing weight determination for retrieving optical properties of polluted dust with MODIS and AERONET data

NCUIR > College of Earth Sciences > Department of Atmospheric Sciences > journal & Dissertation > Item 987654321/100820

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Title:	Mixing weight determination for retrieving optical properties of polluted dust with MODIS and AERONET data
Authors:	王聖翔;Chang, Kuo-En;Hsiao, Ta-Chih;Hsu, N Christina;Lin, Neng-Huei;Wang, Sheng-Hsiang;Liu, Gin-Rong;Liu, Chian-Yi;Lin, Tang-Huang
Contributors:	地球科學學院大氣科學學系
Keywords:	AERONET;Aerosol Robotic Network;Aerosols;Albedo;Algorithms;AOD;Dust;dust-soot aerosols;Lookup tables;mixing weight;MODIS;Optical analysis;Optical properties;Optical thickness;Pollution studies;Reflectance;Refractivity;Remote sensing;Soot;Spatial distribution;SSA;Weight
Date:	2016-07-28
Issue Date:	2026-04-21 14:15:24 (UTC+8)
Publisher:	IOP Publishing Ltd.;Bristol: IOP Publishing
Abstract:	摘要： 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. 其他題名： ERL 其他題名： Environ. Res. Lett 出版者： Bristol: IOP Publishing 出版日期： 2016-08-01 出處： Environmental research letters, 2016-08, Vol.11 (8), p.85002-85012 資源來源： Agricultural & Environmental Science Collection 版權： 2016 IOP Publishing Ltd 版權： 2016. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. 識別號： ISSN: 1748-9326 識別號： EISSN: 1748-9326 識別號： DOI: 10.1088/1748-9326/11/8/085002 識別號： CODEN: ERLNAL
Appears in Collections:	[Department of Atmospheric Sciences] journal & Dissertation

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