Application of OMI, SCIAMACHY, and GOME-2 satellite SO2 retrievals for detection of large emission sources

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Authors
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.
Discipline
Earth and related Environmental sciences
Subject
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
Audience
Scientific
Date
2013Metadata
Show full item recordDescription
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.
Citation
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. (2013). Application of OMI, SCIAMACHY, and GOME-2 satellite SO2 retrievals for detection of large emission sources. , Journal of Geophysical Research: Atmospheres, Vol. 118, Issue 19, 11399-11418, DOI: 10.1002/jgrd.50826.Identifiers
scopus: 2-s2.0-84887153288
Type
Article
Peer-Review
Yes
Language
eng