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

dc.contributor.authorFioletov, V.E.
dc.contributor.authorMcLinden, C.A.
dc.contributor.authorKrotkov, N.
dc.contributor.authorYang, K.
dc.contributor.authorLoyola, D.G.
dc.contributor.authorValks, P.
dc.contributor.authorTheys, N.
dc.contributor.authorVan Roozendael, M.
dc.contributor.authorNowlan, C.R.
dc.contributor.authorChance, K.
dc.contributor.authorLiu, X.
dc.contributor.authorLee, C.
dc.contributor.authorMartin, R.V.
dc.date2013
dc.date.accessioned2016-03-25T11:11:11Z
dc.date.available2016-03-25T11:11:11Z
dc.identifier.urihttps://orfeo.belnet.be/handle/internal/2938
dc.descriptionRetrievals 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.
dc.languageeng
dc.titleApplication of OMI, SCIAMACHY, and GOME-2 satellite SO2 retrievals for detection of large emission sources
dc.typeArticle
dc.subject.frascatiEarth and related Environmental sciences
dc.audienceScientific
dc.subject.freeImage resolution
dc.subject.freeInstruments
dc.subject.freeOzone
dc.subject.freeParticulate emissions
dc.subject.freeRemote sensing
dc.subject.freeSatellites
dc.subject.freeSensors
dc.subject.freeSpectrometers
dc.subject.freeSulfur
dc.subject.freeUltraviolet spectrometers
dc.subject.freeAnthropogenic sources
dc.subject.freeHigh spatial frequency
dc.subject.freeOzone monitoring instruments
dc.subject.freeRetrieval algorithms
dc.subject.freeSatellite sensors
dc.subject.freeScanning imaging absorption spectrometer for atmospheric chartography
dc.subject.freeSpatial filtration
dc.subject.freeSpatial resolution
dc.subject.freeSulfur dioxide
dc.subject.freealgorithm
dc.subject.freeanthropogenic source
dc.subject.freeatmospheric pollution
dc.subject.freeemission
dc.subject.freefiltration
dc.subject.freeGOME
dc.subject.freeinstrumentation
dc.subject.freemeasurement method
dc.subject.freeozone
dc.subject.freeremote sensing
dc.subject.freesatellite imagery
dc.subject.freespatial resolution
dc.subject.freesulfur dioxide
dc.source.titleJournal of Geophysical Research: Atmospheres
dc.source.volume118
dc.source.issue19
dc.source.page11399-11418
Orfeo.peerreviewedYes
dc.identifier.doi10.1002/jgrd.50826
dc.identifier.scopus2-s2.0-84887153288


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