Arid
DOI10.1002/jgrd.50712
Enhanced Deep Blue aerosol retrieval algorithm: The second generation
Hsu, N. C.1; Jeong, M. -J.2; Bettenhausen, C.1,3; Sayer, A. M.1,4; Hansell, R.1,5; Seftor, C. S.1,3; Huang, J.5,6; Tsay, S. -C.1
通讯作者Hsu, N. C.
来源期刊JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
ISSN2169-897X
EISSN2169-8996
出版年2013
卷号118期号:16页码:9296-9315
英文摘要

The aerosol products retrieved using the Moderate Resolution Imaging Spectroradiometer (MODIS) collection 5.1 Deep Blue algorithm have provided useful information about aerosol properties over bright-reflecting land surfaces, such as desert, semiarid, and urban regions. However, many components of the C5.1 retrieval algorithm needed to be improved; for example, the use of a static surface database to estimate surface reflectances. This is particularly important over regions of mixed vegetated and nonvegetated surfaces, which may undergo strong seasonal changes in land cover. In order to address this issue, we develop a hybrid approach, which takes advantage of the combination of precalculated surface reflectance database and normalized difference vegetation index in determining the surface reflectance for aerosol retrievals. As a result, the spatial coverage of aerosol data generated by the enhanced Deep Blue algorithm has been extended from the arid and semiarid regions to the entire land areas. In this paper, the changes made in the enhanced Deep Blue algorithm regarding the surface reflectance estimation, aerosol model selection, and cloud screening schemes for producing the MODIS collection 6 aerosol products are discussed. A similar approach has also been applied to the algorithm that generates the Sea-viewing Wide Field-of-view Sensor (SeaWiFS) Deep Blue products. Based upon our preliminary results of comparing the enhanced Deep Blue aerosol products with the Aerosol Robotic Network (AERONET) measurements, the expected error of the Deep Blue aerosol optical thickness (AOT) is estimated to be better than 0.05+20%. Using 10 AERONET sites with long-term time series, 79% of the best quality Deep Blue AOT values are found to fall within this expected error.


英文关键词aerosol satellite retrieval
类型Article
语种英语
国家USA ; South Korea
收录类别SCI-E
WOS记录号WOS:000324933900037
WOS关键词RESOLUTION IMAGING SPECTRORADIOMETER ; LAND SURFACES ; OPTICAL DEPTH ; MODIS ; POLARIZATION ; CAPABILITIES ; REFLECTANCE ; POLLUTION ; DUST
WOS类目Meteorology & Atmospheric Sciences
WOS研究方向Meteorology & Atmospheric Sciences
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/178418
作者单位1.NASA, Goddard Space Flight Ctr, Greenbelt, MD 20771 USA;
2.Gangneung Wonju Natl Univ, Gangneung City, South Korea;
3.Sci Syst & Applicat Inc, Lanham, MD USA;
4.Univ Space Res Assoc, Goddard Earth Sci Technol & Res, Greenbelt, MD USA;
5.UMD, Earth Syst Sci Interdisciplinary Ctr, College Pk, MD USA;
6.NOAA, NESDIS, Ctr Satellite Applicat & Res, College Pk, MD USA
推荐引用方式
GB/T 7714
Hsu, N. C.,Jeong, M. -J.,Bettenhausen, C.,et al. Enhanced Deep Blue aerosol retrieval algorithm: The second generation[J],2013,118(16):9296-9315.
APA Hsu, N. C..,Jeong, M. -J..,Bettenhausen, C..,Sayer, A. M..,Hansell, R..,...&Tsay, S. -C..(2013).Enhanced Deep Blue aerosol retrieval algorithm: The second generation.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,118(16),9296-9315.
MLA Hsu, N. C.,et al."Enhanced Deep Blue aerosol retrieval algorithm: The second generation".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 118.16(2013):9296-9315.
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Hsu, N. C.]的文章
[Jeong, M. -J.]的文章
[Bettenhausen, C.]的文章
百度学术
百度学术中相似的文章
[Hsu, N. C.]的文章
[Jeong, M. -J.]的文章
[Bettenhausen, C.]的文章
必应学术
必应学术中相似的文章
[Hsu, N. C.]的文章
[Jeong, M. -J.]的文章
[Bettenhausen, C.]的文章
相关权益政策
暂无数据
收藏/分享

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。