DOI: 10.1002/2013GL058134
论文题名: A fast and sensitive new satellite SO2 retrieval algorithm based on principal component analysis: Application to the ozone monitoring instrument
作者: Li C. ; Joiner J. ; Krotkov N.A. ; Bhartia P.K.
刊名: Geophysical Research Letters
ISSN: 0094-8298
EISSN: 1944-8029
出版年: 2013
卷: 40, 期: 23 起始页码: 6314
结束页码: 6318
语种: 英语
英文关键词: OMI
; principal component analysis
; sulfur dioxide
Scopus关键词: Anthropogenic emissions
; Measurement artifacts
; OMI
; Operational products
; Ozone monitoring instruments
; Principal Components
; Radiative transfer model
; Vertical column densities
; Air quality
; Algorithms
; Instruments
; Principal component analysis
; Sensors
; Ultraviolet spectrometers
; Sulfur dioxide
; air quality
; algorithm
; anthropogenic source
; atmospheric pollution
; emission
; instrumentation
; numerical model
; ozone
; principal component analysis
; Raman spectroscopy
; Rayleigh number
; satellite imagery
; sensitivity analysis
; sulfur dioxide
英文摘要: We describe a new algorithm to retrieve SO2 from satellite-measured hyperspectral radiances. We employ the principal component analysis technique in regions with no significant SO2 to capture radiance variability caused by both physical processes (e.g., Rayleigh and Raman scattering and ozone absorption) and measurement artifacts. We use the resulting principal components and SO2 Jacobians calculated with a radiative transfer model to directly estimate SO2 vertical column density in one step. Application to the Ozone Monitoring Instrument (OMI) radiance spectra in 310.5-340 nm demonstrates that this approach can greatly reduce biases in the operational OMI product and decrease the noise by a factor of 2, providing greater sensitivity to anthropogenic emissions. The new algorithm is fast, eliminates the need for instrument-specific radiance correction schemes, and can be easily adapted to other sensors. These attributes make it a promising technique for producing long-term, consistent SO 2 records for air quality and climate research. Key Points Fundamentally different and fast approach for spectral fitting of SO2 signals Biases in operational product largely eliminated, noise reduced by half Easily adapted to other sensors to produce consistent long-term data sets ©2013. American Geophysical Union. All Rights Reserved. URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84889991288&doi=10.1002%2f2013GL058134&partnerID=40&md5=8fd57aad8626d0eda38b4961b996ef90
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/5562
Appears in Collections: 气候减缓与适应
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作者单位: Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD 20742, United States
Recommended Citation:
Li C.,Joiner J.,Krotkov N.A.,et al. A fast and sensitive new satellite SO2 retrieval algorithm based on principal component analysis: Application to the ozone monitoring instrument[J]. Geophysical Research Letters,2013-01-01,40(23).