中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A consistent aerosol optical depth (AOD) dataset over mainland China by integration of several AOD products

文献类型:期刊论文

作者Xu, H.1; Guang, J.1; Xue, Y.1; de Leeuw, Gerrit1; Che, Y. H.1; Guo, Jianping1; He, X. W.1; Wang, T. K.1
刊名ATMOSPHERIC ENVIRONMENT
出版日期2015
卷号114页码:2489-2501
关键词Merging Aerosol optical depth MODIS MISR SeaWiFS Albedo
通讯作者Guang, J (reprint author), Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, 9 Dengzhuang South Rd, Beijing 100094, Peoples R China.
英文摘要The Moderate Resolution Imaging Spectroradiometer (MODIS), the Multiangle Imaging Spectroradiometer (MISR) and the Sea-viewing Wide Field-of-view Sensor (SeaWiFS) provide validated aerosol optical depth (ADD) products over both land and ocean. However, the values of the AOD provided by each of these satellites may show spatial and temporal differences due to the instrument characteristics and aerosol retrieval algorithms used for each instrument. In this article we present a method to produce an AOD data set over Asia for the year 2007 based on fusion of the data provided by different instruments and/or algorithms. First, the bias of each satellite-derived AOD product was calculated by comparison with ground-based AOD data derived from the AErosol RObotic NETwork (AERONET) and the China Aerosol Remote Sensing NETwork (CARSNET) for different values of the surface albedo and the AOD. Then, these multiple AOD products were combined using the maximum likelihood estimate (MLE) method using weights derived from the root mean square error (RMSE) associated with the accuracies of the original AOD products. The original and merged AOD dataset has been validated by comparison with ADD data from the CARSNET. Results show that the mean bias error (MBE) and mean absolute error (MAE) of the merged AOD dataset are not larger than that of any of the original AOD products. In addition, for the merged AOD dataset the fraction of pixels with no data is significantly smaller than that of any of the original products, thus increasing the spatial coverage. The fraction of retrievable area is about 50% for the merged AOD dataset and between 5% and 20% for the MISR, SeaWiFS, MODIS-DT and MODIS-DB algorithms. (C) 2015 Elsevier Ltd. All rights reserved.
研究领域[WOS]Environmental Sciences ; Meteorology & Atmospheric Sciences
收录类别SCI ; EI
语种英语
WOS记录号WOS:000356991000006
源URL[http://ir.ceode.ac.cn/handle/183411/38150]  
专题遥感与数字地球研究所_SCI/EI期刊论文_期刊论文
作者单位1.[Xu, H.
2.Guang, J.
3.Xue, Y.
4.Che, Y. H.
5.He, X. W.] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China
6.[Xue, Y.
7.Wang, T. K.] London Metropolitan Univ, Fac Life Sci & Comp, London N78 DB, England
8.[de Leeuw, Gerrit] Univ Helsinki, Dept Phys, Helsinki, Finland
9.[de Leeuw, Gerrit] Finnish Meteorol Inst, Climate Res Unit, FIN-00101 Helsinki, Finland
10.[Guo, Jianping] Chinese Acad Meteorol Sci, China Meteorol Adm, Inst Atmospher Composit, Beijing 100081, Peoples R China
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GB/T 7714
Xu, H.,Guang, J.,Xue, Y.,et al. A consistent aerosol optical depth (AOD) dataset over mainland China by integration of several AOD products[J]. ATMOSPHERIC ENVIRONMENT,2015,114:2489-2501.
APA Xu, H..,Guang, J..,Xue, Y..,de Leeuw, Gerrit.,Che, Y. H..,...&Wang, T. K..(2015).A consistent aerosol optical depth (AOD) dataset over mainland China by integration of several AOD products.ATMOSPHERIC ENVIRONMENT,114,2489-2501.
MLA Xu, H.,et al."A consistent aerosol optical depth (AOD) dataset over mainland China by integration of several AOD products".ATMOSPHERIC ENVIRONMENT 114(2015):2489-2501.

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来源:遥感与数字地球研究所

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