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

Fioletov, V.E. and McLinden, C.A. and Krotkov, N. and Yang, K. and Loyola, Diego and Valks, P. and Theys, N. and Van Roozendael, M. and Nowlan, C. and Chance, K. and Liu, X. and Lee, C. and 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, 118 (19), pp. 11399-11418. Wiley. doi: 10.1002/jgrd.50826. ISSN 0148-0227.

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Official URL: http://onlinelibrary.wiley.com/doi/10.1002/jgrd.50826/abstract


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, aver-aged 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 fre-quency 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 a better spatial resolution of OMI makes it possible for this instrument to detect smaller sources and with more details 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.

Item URL in elib:https://elib.dlr.de/83303/
Document Type:Article
Title:Application of OMI, SCIAMACHY and GOME-2 satellite SO2 retrievals for detection of large emission sources
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Fioletov, V.E.Vitali.Fioletov (at) ec.gc.caUNSPECIFIED
McLinden, C.A.Chris.McLinden (at) ec.gc.caUNSPECIFIED
Krotkov, N.nickolay.a.krotkov (at) nasa.govUNSPECIFIED
Yang, K.kai.yang-1 (at) nasa.govUNSPECIFIED
Loyola, DiegoDiego.Loyola (at) dlr.dehttps://orcid.org/0000-0002-8547-9350
Valks, P.pieter.valks (at) dlr.deUNSPECIFIED
Theys, N.Nicolas.Theys (at) aeronomie.beUNSPECIFIED
Van Roozendael, M.Michel.VanRoozendael (at) aeronomie.beUNSPECIFIED
Nowlan, C.caroline.nowlan (at) gmail.comUNSPECIFIED
Chance, K.kchance (at) cfa.harvard.eduUNSPECIFIED
Liu, X.xliu (at) cfa.harvard.eduUNSPECIFIED
Lee, C.cklee79 (at) gmail.comUNSPECIFIED
Martin, R.V.randall.vaughn.martin (at) gmail.comUNSPECIFIED
Date:October 2013
Journal or Publication Title:Journal of Geophysical Research: Atmospheres
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:Yes
DOI :10.1002/jgrd.50826
Page Range:pp. 11399-11418
Keywords:remote sensing, sulfur dioxide, emissions
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Vorhaben Ozon-SAF (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Atmospheric Processors
Deposited By: Valks, Dr. Pieter
Deposited On:09 Jul 2013 12:57
Last Modified:01 Dec 2018 19:49

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