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| Titel |
Detecting volcanic SO2 emissions with the Infrared Atmospheric Sounding Interferometer |
| VerfasserIn |
Isabelle Taylor, Elisa Carboni, Tamsin Mather, Don Grainger |
| Konferenz |
EGU General Assembly 2017
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| Medientyp |
Artikel
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| Sprache |
en
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 19 (2017) |
| Datensatznummer |
250143468
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| Publikation (Nr.) |
 EGU/EGU2017-7189.pdf |
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| Zusammenfassung |
| Sulphur dioxide (SO2) emissions are one of the many hazards associated with volcanic
activity. Close to the volcano they have negative impacts on human and animal health and
affect the environment. Further afield they present a hazard to aviation (as well as being a
proxy for volcanic ash) and can cause global changes to climate. These are all good reasons
for monitoring gas emissions at volcanoes and this monitoring can also provide
insight into volcanic, magmatic and geothermal processes. Advances in satellite
technology mean that it is now possible to monitor these emissions from space. The
Infrared Atmospheric Sounding Interferometer (IASI) on board the European Space
Agency’s MetOp satellites is commonly used, alongside other satellite products, for
detecting SO2 emissions across the globe. A fast linear retrieval developed in Oxford
separates the signal of the target species (SO2) from the spectral background by
representing background variability (determined from pixels containing no SO2) in a
background covariance matrix. SO2 contaminated pixels can be distinguished from this
quickly, facilitating the use of this algorithm for near real time monitoring and for
scanning of large datasets for signals to explore further with a full retrieval. In this
study, the retrieval has been applied across the globe to identify volcanic emissions.
Elevated signals are identified at numerous volcanoes including both explosive and
passive emissions, which match reports of activity from other sources. Elevated
signals are also evident from anthropogenic activity. These results imply that this
tool could be successfully used to identify and monitor activity across the globe. |
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