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| Titel |
Estimation of volcanic ash emissions from satellite data using trajectory-based 4D-Var |
| VerfasserIn |
Sha Lu, Haixiang Lin, Arnold Heemink, Arjo Segers, Guangliang Fu |
| Konferenz |
EGU General Assembly 2016
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| Medientyp |
Artikel
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| Sprache |
en
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 18 (2016) |
| Datensatznummer |
250123848
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| Publikation (Nr.) |
 EGU/EGU2016-3168.pdf |
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| Zusammenfassung |
| An accurate determination of emission parameters are crucial to the volcanic ash forecast for
aviation, health and climate interests. In this study, we reconstruct the vertical profile of the
volcanic ash emission from satellite ash mass loading data using trajectory-based
4D-Var (Trj4DVar) approach with Eyjafjallajökull 2010 eruptive event and the
corresponding SEVIRI data as a study case. Since the Eyjafjallajökull eruption in
April 2010, besides ash mass loadings retrieved from satellite data, the additional
information of plume height and mass eruption rate is always available from volcanic ash
detections and observations. Modifications is made in Trj4DVar to integrate the
additional information into the data assimilation system to improve the estimation
of volcanic ash emissions and achieve a better initial condition for quantitative
predictions.
The modified Trj4DVar has been tested in twin experiments designed based on the
study case, and shows significant improvement on straightforward Trj4DVar since it
has great correction impact to recognize the injection height and produce more
accurate emission estimation and reliable initial field of volcanic ash loading. To
apply the approach to the real case with SEVIRI data, two strategies was proposed:
observational mask matrix and separate time windows. The results produced a better
initial condition and predictive forecast that were more fitter the SEVIRI ash mass
loading fields, which showed a great potential of applying the method in practice. |
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