DOI: 10.1002/jgrd.50826
论文题名: Application of OMI, SCIAMACHY, and GOME-2 satellite SO<inf>2</inf> retrievals for detection of large emission sources
作者: Fioletov V.E. ; McLinden C.A. ; Krotkov N. ; Yang K. ; Loyola D.G. ; Valks P. ; Theys N. ; Van Roozendael M. ; Nowlan C.R. ; Chance K. ; Liu X. ; Lee C. ; Martin R.V.
刊名: Journal of Geophysical Research Atmospheres
ISSN: 21698996
出版年: 2013
卷: 118, 期: 19 起始页码: 11399
结束页码: 11418
语种: 英语
英文关键词: emissions
; remote sensing
; sulfur dioxide
Scopus关键词: Image resolution
; Instruments
; Ozone
; Particulate emissions
; Remote sensing
; Satellites
; Sensors
; Spectrometers
; Sulfur
; Ultraviolet spectrometers
; Anthropogenic sources
; High spatial frequency
; Ozone monitoring instruments
; Retrieval algorithms
; Satellite sensors
; Scanning imaging absorption spectrometer for atmospheric chartography
; Spatial filtration
; Spatial resolution
; Sulfur dioxide
; algorithm
; anthropogenic source
; atmospheric pollution
; emission
; filtration
; GOME
; instrumentation
; measurement method
; ozone
; remote sensing
; satellite imagery
; spatial resolution
; sulfur dioxide
英文摘要: Retrievals of sulfur dioxide (SO2 ) from space-based spectrometers are in a relatively early stage of development. Factors such as interference between ozone and SO2 in the retrieval algorithms often lead to errors in the retrieved values. Measurements from the Ozone Monitoring Instrument (OMI), Scanning Imaging Absorption Spectrometer for Atmospheric Chartography (SCIAMACHY), and Global Ozone Monitoring Experiment-2 (GOME-2) satellite sensors, averaged over a period of several years, were used to identify locations with elevated SO2 values and estimate their emission levels. About 30 such locations, detectable by all three sensors and linked to volcanic and anthropogenic sources, were found after applying low and high spatial frequency filtration designed to reduce noise and bias and to enhance weak signals to SO2 data from each instrument. Quantitatively, the mean amount of SO2 in the vicinity of the sources, estimated from the three instruments, is in general agreement. However, its better spatial resolution makes it possible for OMI to detect smaller sources and with additional detail as compared to the other two instruments. Over some regions of China, SCIAMACHY and GOME-2 data show mean SO2 values that are almost 1.5 times higher than those from OMI, but the suggested spatial filtration technique largely reconciles these differences. Key Points Available satellite SO2 data can be used to monitor large emission sources SO2 data from different satellites agree when spatial filtration is applied Instruments with higher spatial resolution can detect smaller emission sources ©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/63262
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: Environment Canada, 4905 Dufferin Street, Toronto, ON, M3H 5 T4, Canada; Laboratory for Atmospheric Chemistry and Dynamics, NASA Goddard Space Flight Center, Greenbelt MD, United States; Department of Atmospheric and Oceanic Sciences, University of Maryland, College Park MD, United States; Deutsches Zentrum für Luft- und Raumfahrt, Wessling, Germany; Belgian Institute for Space Aeronomy (BIRA-IASB), Brussels, Belgium; Department of Physics and Atmospheric Science, Dalhousie University, Halifax NS, Canada; Harvard-Smithsonian Center for Astrophysics, Cambridge MA, United States; National Institute of Meteorological Research, Korea Meteorological Administration, Seoul, South Korea
Recommended Citation:
Fioletov V.E.,McLinden C.A.,Krotkov N.,et al. Application of OMI, SCIAMACHY, and GOME-2 satellite SO<inf>2</inf> retrievals for detection of large emission sources[J]. Journal of Geophysical Research Atmospheres,2013-01-01,118(19)