Improvements on near real time detection of volcanic ash emissions for emergency monitoring with limited satellite bands

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Steensen, T.; Webley, P.; Dehn, J.: Improvements on near real time detection of volcanic ash emissions for emergency monitoring with limited satellite bands. In: Annals of Geophysics 57 (2014), A009. DOI: https://doi.org/10.4401/ag-6598

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To cite the version in the repository, please use this identifier: https://doi.org/10.15488/879

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Sum total of downloads: 1,801




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Abstract: 
Quantifying volcanic ash emissions syneruptively is an important task for the global aviation community. However, due to the near real time nature of volcano monitoring, many parameters important for accurate ash mass estimates cannot be obtained easily. Even when using the best possible estimates of those parameters, uncertainties associated with the ash masses remain high, especially if the satellite data is only available in the traditional 10.8 and 12.0 ?m bands. To counteract this limitation, we developed a quantitative comparison between the ash extents in satellite and model data. The focus is the manual cloud edge definition based on the available satellite reverse absorption (RA) data as well as other knowledge like pilot reports or ground-based observations followed by an application of the Volcanic Ash Retrieval on the defined subset with an RA threshold of 0 K. This manual aspect, although subjective to the experience of the observer, can show a significant improvement as it provides the ability to highlight ash that otherwise would be obscured by meteorological clouds or, by passing over different surfaces with unaccounted temperatures, might be lost entirely and thus remains undetectable for an automated satellite approach. We show comparisons to Volcanic Ash Transport and Dispersion models and outline a quantitative match as well as percentages of overestimates based on satellite or dispersion model data which can be converted into a level of reliability for near real time volcano monitoring.
License of this version: CC BY 3.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2014
Appears in Collections:Fakultät für Bauingenieurwesen und Geodäsie

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pos. country downloads
total perc.
1 image of flag of Germany Germany 1,665 92.45%
2 image of flag of No geo information available No geo information available 24 1.33%
3 image of flag of United States United States 23 1.28%
4 image of flag of China China 12 0.67%
5 image of flag of United Kingdom United Kingdom 8 0.44%
6 image of flag of Europe Europe 7 0.39%
7 image of flag of Switzerland Switzerland 7 0.39%
8 image of flag of Austria Austria 6 0.33%
9 image of flag of Russian Federation Russian Federation 4 0.22%
10 image of flag of Finland Finland 3 0.17%
    other countries 42 2.33%

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