Application of OMI, SCIAMACHY, and GOME‐2 satellite SO2 retrievals for detection of large emission sources. Issue 19 (4th October 2013)

• Record Type: Journal Article
• 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.
• Is Part Of: Journal of geophysical research. Volume 118:Issue 19(2013)
• Page Start: 11, 399
• Page End: 11, 418
• Publication Date: 2013-10-04
• Subjects: Atmospheric physics -- Periodicals; Geophysics -- Periodicals; 551.5
• DOI: 10.1002/jgrd.50826
• Languages: English
• ISSNs: 2169-897X

Abstract

<abstract abstract-type="main"> <title>Abstract</title> <p>[1] Retrievals of sulfur dioxide (SO<sub>2</sub>) from space‐based spectrometers are in a relatively early stage of development. Factors such as interference between ozone and SO<sub>2</sub> 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 SO<sub>2</sub> 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 SO<sub>2</sub> data from each instrument. Quantitatively, the mean amount of SO<sub>2</sub> 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 SO<sub>2</sub> values that are almost 1.5 times higher than those from OMI, but the suggested spatial filtration technique largely reconciles these differences.</p> </abstract>