DOI: 10.1002/jgrd.50600
论文题名: Validation and uncertainty estimates for MODIS Collection 6 "deep Blue" aerosol data
作者: Sayer A.M. ; Hsu N.C. ; Bettenhausen C. ; Jeong M.-J.
刊名: Journal of Geophysical Research Atmospheres
ISSN: 21698996
出版年: 2013
卷: 118, 期: 14 起始页码: 7864
结束页码: 7872
语种: 英语
英文关键词: AERONET
; aerosol
; Collection 6
; Deep Blue
; MODIS
; validation
Scopus关键词: Aerosols
; Algorithms
; Arid regions
; Atmospheric aerosols
; Quality assurance
; Reactor cores
; Satellite imagery
; Supercomputers
; Surface measurement
; Uncertainty analysis
; AERONET
; Aerosol optical depths
; Aerosol robotic networks
; Deep blue
; Moderate resolution imaging spectroradiometer
; MODIS
; Uncertainty estimates
; validation
; Radiometers
; aerosol
; algorithm
; data set
; estimation method
; geometry
; land surface
; MODIS
; uncertainty analysis
英文摘要: The "Deep Blue" aerosol optical depth (AOD) retrieval algorithm was introduced in Collection 5 of the Moderate Resolution Imaging Spectroradiometer (MODIS) product suite, and complemented the existing "Dark Target" land and ocean algorithms by retrieving AOD over bright arid land surfaces, such as deserts. The forthcoming Collection 6 of MODIS products will include a "second generation" Deep Blue algorithm, expanding coverage to all cloud-free and snow-free land surfaces. The Deep Blue dataset will also provide an estimate of the absolute uncertainty on AOD at 550 nm for each retrieval. This study describes the validation of Deep Blue Collection 6 AOD at 550 nm (τM ) from MODIS Aqua against Aerosol Robotic Network (AERONET) data from 60 sites to quantify these uncertainties. The highest quality (denoted quality assurance flag value 3) data are shown to have an absolute uncertainty of approximately (0.086+0.56τM )/AMF, where AMF is the geometric air mass factor. For a typical AMF of 2.8, this is approximately 0.03+0.20τM , comparable in quality to other satellite AOD datasets. Regional variability of retrieval performance and comparisons against Collection 5 results are also discussed. Key Points Expanded MODIS Deep Blue aerosol algorithm Validation with AERONET reveals good performance Uncertainty estimates provided within dataset ©2013. American Geophysical Union. All Rights Reserved. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/63527
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: Goddard Earth Sciences Technology and Research, Universities Space Research Association, Greenbelt MD, United States; Climate and Radiation Branch, NASA Goddard Space Flight Center, Greenbelt, MD 20771, United States; Science Systems and Applications, Inc., Lanham MD, United States; Gangneung-Wonju National University, Gangneung City, South Korea
Recommended Citation:
Sayer A.M.,Hsu N.C.,Bettenhausen C.,et al. Validation and uncertainty estimates for MODIS Collection 6 "deep Blue" aerosol data[J]. Journal of Geophysical Research Atmospheres,2013-01-01,118(14)