DOI: 10.1002/jgrd.50686
论文题名: Application of spectral analysis techniques in the intercomparison of aerosol data: 1. An EOF approach to analyze the spatial-temporal variability of aerosol optical depth using multiple remote sensing data sets
作者: Li J. ; Carlson B.E. ; Lacis A.A.
刊名: Journal of Geophysical Research Atmospheres
ISSN: 21698996
出版年: 2013
卷: 118, 期: 15 起始页码: 8640
结束页码: 8648
语种: 英语
英文关键词: aerosol
; EOF analysis
; multi-sensor
; spatial-temporal variability
Scopus关键词: Aerosols
; Atmospheric aerosols
; Band structure
; Dust
; Principal component analysis
; Radiometers
; Remote sensing
; Spectrum analysis
; Empirical orthogonal function analysis
; Eof analysis
; Interannual variability
; Multi sensor
; Remote sensing techniques
; Spatial and temporal variability
; Spatial temporals
; Spectral analysis techniques
; Biomass
; aerosol
; annual variation
; biomass burning
; data set
; dust
; El Nino
; MISR
; MODIS
; optical depth
; pixel
; principal component analysis
; remote sensing
; satellite data
; SeaWiFS
; spatial variation
; spectral analysis
; temporal variation
; Indonesia
; Sahara
; South America
; West Africa
英文摘要: Many remote sensing techniques and passive sensors have been developed to measure global aerosol properties. While instantaneous comparisons between pixel-level data often reveal quantitative differences, here we use Empirical Orthogonal Function (EOF) analysis, also known as Principal Component Analysis, to demonstrate that satellite-derived aerosol optical depth (AOD) data sets exhibit essentially the same spatial and temporal variability and are thus suitable for large-scale studies. Analysis results show that the first four EOF modes of AOD account for the bulk of the variance and agree well across the four data sets used in this study (i.e., Aqua MODIS, Terra MODIS, MISR, and SeaWiFS). Only SeaWiFS data over land have slightly different EOF patterns. Globally, the first two EOF modes show annual cycles and are mainly related to Sahara dust in the northern hemisphere and biomass burning in the southern hemisphere, respectively. After removing the mean seasonal cycle from the data, major aerosol sources, including biomass burning in South America and dust in West Africa, are revealed in the dominant modes due to the different interannual variability of aerosol emissions. The enhancement of biomass burning associated with El Niño over Indonesia and central South America is also captured with the EOF technique. Key Points The four AOD data sets agree very well in large scale variability Major aerosol source regions are revealed ©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/63464
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: NASA Goddard Institute for Space Studies, 2880 Broadway, New York, NY 10025, United States; NASA Postdoctoral Fellowship Program, Oak Ridge TN, United States
Recommended Citation:
Li J.,Carlson B.E.,Lacis A.A.. Application of spectral analysis techniques in the intercomparison of aerosol data: 1. An EOF approach to analyze the spatial-temporal variability of aerosol optical depth using multiple remote sensing data sets[J]. Journal of Geophysical Research Atmospheres,2013-01-01,118(15)