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Titel |
Remote sensing of volcanic ash plumes from thermal infrared: a case study analysis from SEVIRI, MODIS and IASI instruments |
VerfasserIn |
P. Dubuisson, H. Herbin, F. Minvielle, M. Compiègne, F. Thieuleux, F. Parol, J. Pelon |
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 (2014-02-03), S.359-371 |
Datensatznummer |
250115591
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Publikation (Nr.) |
copernicus.org/amt-7-359-2014.pdf |
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Zusammenfassung |
The Eyjafjallajökull eruption, which occurred during May 2010, is used as
a case study to evaluate the consistency of the detection and
characterization of volcanic ash plumes from different thermal infrared
instruments. In this study, the well-known split window technique is used to
retrieve the optical thickness and the effective particle size, and to
estimate the mass concentration of volcanic particles from brightness
temperatures measured in the infrared atmospheric window
(8–12 μm). Retrievals are obtained for several mineral
compositions whose optical properties are computed using Mie theory
accounting for spectral variations of the refractive index. The impacts of
errors in atmospheric parameters on the a posteriori uncertainties have been
analysed. This analysis confirmed that major sources of errors are the layer
altitude, the particle composition and, most of all, the size distribution
for which uncertainties in retrievals can reach 50% in mass loading
estimates. This retrieval algorithm is then applied to measurements acquired
near-simultaneously from MODIS, SEVIRI and IASI space-borne instruments,
using two channels around 11 μm and 12 μm. The retrievals
are in close agreement when taking into account the different spatial and
spectral configurations, and deviations between retrievals remain less than
the uncertainties due to errors in atmospheric parameters. This analysis
demonstrates the robustness of the retrieval method and the consistency of
observations from these instruments for volcanic ash plume monitoring. |
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