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| Titel |
The identification and tracking of volcanic ash using the Meteosat Second Generation (MSG) Spinning Enhanced Visible and Infrared Imager (SEVIRI) |
| VerfasserIn |
A. R. Naeger, S. A. Christopher |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1867-1381
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| Digitales Dokument |
URL |
| Erschienen |
In: Atmospheric Measurement Techniques ; 7, no. 2 ; Nr. 7, no. 2 (2014-02-20), S.581-597 |
| Datensatznummer |
250115605
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| Publikation (Nr.) |
 copernicus.org/amt-7-581-2014.pdf |
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| Zusammenfassung |
| In this paper, we develop an algorithm based on combining spectral, spatial,
and temporal thresholds from the geostationary Spinning Enhanced Visible and
Infrared Imager (SEVIRI) daytime measurements to identify and track
different aerosol types, primarily volcanic ash. Contemporary methods
typically do not use temporal information to identify ash. We focus not only
on the identification and tracking of volcanic ash during the
Eyjafjallajökull volcanic eruption period beginning in 14 April and ending 17 May
2010 but also on a pixel-level classification method for separating various classes
in the SEVIRI images. Three case studies on 13, 16, and 17 May are
analyzed in extensive detail with other satellite data including from the
Moderate Resolution Imaging Spectroradiometer (MODIS), Multi-angle Imaging
Spectroradiometer (MISR), and Facility for Airborne Atmospheric Measurements
(FAAM) BAe146 aircraft data to verify the aerosol spatial distribution maps
generated by the SEVIRI algorithm. Our results indicate that the SEVIRI
algorithm is able to track volcanic ash when the solar zenith angle is lower
than about 65°. Furthermore, the BAe146 aircraft data show that
the SEVIRI algorithm detects nearly all ash regions when AOD > 0.2. However, the algorithm has higher uncertainties when AOD
is < 0.1 over water and AOD < 0.2 over land. The ash spatial
distributions provided by this algorithm can be used as a critical input and
validation for atmospheric dispersion models simulated by Volcanic Ash
Advisory Centers (VAACs). Identifying volcanic ash is an important first
step before quantitative retrievals of ash concentration can be made. |
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