干旱区生态环境知识资源中心(Arid): Evaluation and modification of SARA high-resolution AOD retrieval algorithm during high dust loading conditions over bright desert surfaces

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DOI	10.1016/j.apr.2019.01.008
	Evaluation and modification of SARA high-resolution AOD retrieval algorithm during high dust loading conditions over bright desert surfaces
	Karimi, Neamat 1; Namdari, Soodabeh 2; Sorooshian, Armin 3,4; Bilal, Muhhamad 5; Heidary, Parisa 6
通讯作者	Karimi, Neamat
来源期刊	ATMOSPHERIC POLLUTION RESEARCH
ISSN	1309-1042
出版年	2019
卷号	10 期号:4 页码:1005-1014
英文摘要	Many studies have been carried out for the validation of Aerosol Optical Depth (AOD) retrieved using MODerate resolution Imaging Spectroradiometer (MODIS) satellite data at the spatial resolution of several to several tens of km. Most of the validation efforts have focused on urban areas with fewer studies focused on deserts with high amounts of dust. On the other hand, calculating AOD at a high spatial resolution over desert surfaces is of high interest to identify local and accurate dust source regions. In this study, two different high-resolution MODIS AOD retrieval algorithms were evaluated to investigate the nature of high dust loading events over the Middle East region. These algorithms include the Simplified Aerosol Retrieval Algorithm (SARA) at 500 m resolution based on the MOD09 Level 2 daily (original SARA(MOD09)) and MCD43A4 16 day (modified SARA(MCD43)) surface reflectance products. These algorithms were validated using AERONET AOD observations at Kuwait University, and accuracy was evaluated using descriptive statistics and Expected Error (EE) over land. Also, the results of these algorithms were evaluated with the Collection 6 (C6) Deep Blue algorithm at 10 km spatial resolution (DB10km). Results show that the SARA(MCD43) and SARA(MOD09) AOD retrievals are well correlated (r) with AERONET data (SARA(MCD43) = 0.89 and SARA(MOD09) = 0.84), with a larger number of retrievals falling within the Expected Error (SARA(MCD43) = 86% and SARA(MOD09) = 77%) than the DB (DB10km = 60%) AOD product. The SARA(MCD43) AOD exhibited good agreement with DB10km AOD over desert surfaces areas during high aerosol loading events, with an average correlation coefficient of 0.92, RMSE of 0.09, and mean absolute error (MAE) of 0.08. While SARA(MOD09) AOD over background desert areas is similar to SARA(MCD43), significant differences were observed over high aerosol loading areas and SARA(MOD09) dramatically underestimates AOD. The results demonstrate that: (i) the SARA algorithm (regardless of surface reflectance data used) is more robust than the MODIS AOD products (both DT and DB), and is better able to represent spatial dust aerosol conditions with an accurate AOD over desert areas over a range of low to high dust pollutant levels; (ii) SARA(MCD43) is well correlated with the DB AOD observations and provides AOD with much greater accuracy and reliability than SARA(MOD09) over desert areas during severe dust loading events.
英文关键词	AOD MODIS AERONET SARA Desert surfaces
类型	Article
语种	英语
国家	Iran ; USA ; Peoples R China
收录类别	SCI-E
WOS记录号	WOS:000472996900001
WOS关键词	AEROSOL OPTICAL DEPTH ; ATMOSPHERIC CORRECTION ; MODIS ; PRODUCTS ; LAND ; COASTAL ; REFLECTANCE ; IDENTIFICATION ; VALIDATION ; CLIMATE
WOS类目	Environmental Sciences
WOS研究方向	Environmental Sciences & Ecology
来源机构	南京信息工程大学 ; University of Arizona
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/214519
作者单位	1.Water Res Inst, Water Resources Res Dept, Tehran, Iran; 2.Desert Affairs Bur, Forest Range & Watershed Management Org, Tehran, Iran; 3.Univ Arizona, Dept Chem & Environm Engn, Tucson, AZ USA; 4.Univ Arizona, Dept Hydrol & Atmospher Sci, Tucson, AZ USA; 5.Nanjing Univ Informat Sci & Technol, Sch Marine Sci, Nanjing 210044, Jiangsu, Peoples R China; 6.George Washington Univ, Dept Civil & Environm Engn, Washington, DC USA
推荐引用方式 GB/T 7714	Karimi, Neamat,Namdari, Soodabeh,Sorooshian, Armin,et al. Evaluation and modification of SARA high-resolution AOD retrieval algorithm during high dust loading conditions over bright desert surfaces[J]. 南京信息工程大学, University of Arizona,2019,10(4):1005-1014.
APA	Karimi, Neamat,Namdari, Soodabeh,Sorooshian, Armin,Bilal, Muhhamad,&Heidary, Parisa.(2019).Evaluation and modification of SARA high-resolution AOD retrieval algorithm during high dust loading conditions over bright desert surfaces.ATMOSPHERIC POLLUTION RESEARCH,10(4),1005-1014.
MLA	Karimi, Neamat,et al."Evaluation and modification of SARA high-resolution AOD retrieval algorithm during high dust loading conditions over bright desert surfaces".ATMOSPHERIC POLLUTION RESEARCH 10.4(2019):1005-1014.