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 |
推荐引用方式 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. |
入库方式: OAI收割
来源:遥感与数字地球研究所
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