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| Titel |
Automatic identification of sources and trajectories of atmospheric Saharan dust aerosols with Latent Gaussian Models |
| VerfasserIn |
Christoph Garbe, Fabian Bachl |
| Konferenz |
EGU General Assembly 2013
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 15 (2013) |
| Datensatznummer |
250081893
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| Zusammenfassung |
| Dust transported from the Sahara across the ocean has a high impact on radiation fluxes and
marine nutrient cycles. Significant progress has been made in characterising Saharan dust
properties (Formenti et al., 2011) and its radiative effects through the ‘SAharan Mineral dUst
experiMent’ (SAMUM) (Ansmann et al., 2011). While the models simulating Saharan dust
transport processes have been considerably improved in recent years, it is still an open
question which meteorological processes and surface characteristics are mainly responsible
for dust transported to the Sub-Tropical Atlantic (Schepanski et al., 2009; Tegen et al.,
2012).
Currently, there exists a large discrepancy between modelled dust emission events and
those observed from satellites. In this contribution we present an approach for classifying and
tracking dust plumes based on a Bayesian hierarchical model. Recent developments
in computational statistics known as Integrated Nested Laplace Approximations
(INLA) have paved the way for efficient inference in a respective subclass, the
Generalized Linear Model (GLM) (Rue et al., 2009). We present the results of our
approach based on data from the SIVIRI instrument on board the Meteosat Second
Generation (MSG) satellite. We demonstrate the accuracy for automatically detecting
sources of dust and aerosol concentrations in the atmosphere. The trajectories of
aerosols are also computed very efficiently. In our framework, we automatically
identify optimal parameters for the computation of atmospheric aerosol motion.
The applicability of our approach to a wide range of conditions will be discussed,
as well as the ground truthing of our results and future directions in this field of
research. |
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