DOI: 10.1002/2015JD024571
论文题名: Spatiotemporal fusion of multiple-satellite aerosol optical depth (AOD) products using Bayesian maximum entropy method
作者: Tang Q. ; Bo Y. ; Zhu Y.
刊名: Journal of Geophysical Research: Atmospheres
ISSN: 2169897X
出版年: 2016
卷: 121, 期: 8 起始页码: 4034
结束页码: 4048
语种: 英语
英文关键词: aerosol optical depth
; Bayesian maximum entropy
; data fusion
Scopus关键词: accuracy assessment
; aerosol property
; Bayesian analysis
; data assimilation
; maximum entropy analysis
; MODIS
; optical depth
; SeaWiFS
; spatiotemporal analysis
; statistical data
; Far East
英文摘要: Merging multisensor aerosol optical depth (AOD) products is an effective way to produce more spatiotemporally complete and accurate AOD products. A spatiotemporal statistical data fusion framework based on a Bayesian maximum entropy (BME) method was developed for merging satellite AOD products in East Asia. The advantages of the presented merging framework are that it not only utilizes the spatiotemporal autocorrelations but also explicitly incorporates the uncertainties of the AOD products being merged. The satellite AOD products used for merging are the Moderate Resolution Imaging Spectroradiometer (MODIS) Collection 5.1 Level-2 AOD products (MOD04-L2) and the Sea-viewing Wide Field-of-view Sensor (SeaWiFS) Deep Blue Level 2 AOD products (SWDB-L2). The results show that the average completeness of the merged AOD data is 95.2%,which is significantly superior to the completeness of MOD04-L2 (22.9%) and SWDB-L2 (20.2%). By comparing the merged AOD to the Aerosol Robotic Network AOD records, the results show that the correlation coefficient (0.75), root-mean-square error (0.29), and mean bias (0.068) of the merged AOD are close to those (the correlation coefficient (0.82), root-mean-square error (0.19), and mean bias (0.059)) of the MODIS AOD. In the regions where both MODIS and SeaWiFS have valid observations, the accuracy of the merged AOD is higher than those of MODIS and SeaWiFS AODs. Even in regions where both MODIS and SeaWiFS AODs are missing, the accuracy of the merged AOD is also close to the accuracy of the regions where both MODIS and SeaWiFS have valid observations. ©2016. American Geophysical Union. All Rights Reserved. 资助项目: 41271347
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/62919
Appears in Collections: 影响、适应和脆弱性 气候减缓与适应
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作者单位: State Key Laboratory of Remote Sensing Science, Research Centre for Remote Sensing and GIS, School of Geography, Beijing Normal University, Beijing, China; Beijing Key Laboratory of Remote Sensing Science, Beijing Normal University, Beijing, China; School of Environment and Planning, Liaocheng University, Shandong, China; School of Urban and Environmental Sciences, Huaiyin Normal University, Jiangsu, China
Recommended Citation:
Tang Q.,Bo Y.,Zhu Y.. Spatiotemporal fusion of multiple-satellite aerosol optical depth (AOD) products using Bayesian maximum entropy method[J]. Journal of Geophysical Research: Atmospheres,2016-01-01,121(8)