BIBLIOS

Document type
Journal articles

Document subtype
Full paper

Title
Signal-adapted tomography as a tool for dust devil detection

Participants in the publication
C. Aguirre (Author)
G. Franzese (Author)
F. Esposito (Author)
Luis Vázquez (Author)
Raquel Caro-Carretero (Author)
Rui Vilela-Mendes (Author)
CMAFcIO
María Ramírez-Nicolás (Author)
F. Cozzolino (Author)
C.I. Popa (Author)

Summary
Dust devils are important phenomena to take into account to understand the global dust circulation of a planet. On Earth, their contribution to the injection of dust into the atmosphere seems to be secondary. Elsewhere, there are many indications that the dust devil’s role on other planets, in particular on Mars, could be fundamental, impacting the global climate. The ability to identify and study these vortices from the acquired meteorological measurements assumes a great importance for planetary science. Here we present a new methodology to identify dust devils from the pressure time series testing the method on the data acquired during a 2013 field campaign performed in the Tafilalt region (Morocco) of the NorthWestern Sahara Desert. Although the analysis of pressure is usually studied in the time domain, we prefer here to follow a different approach and perform the analysis in a time signal-adapted domain, the relation between the two being a bilinear transformation, i.e. a tomogram. The tomographic technique has already been successfully applied in other research fields like those of plasma reflectometry or the neuronal signatures. Here we show its effectiveness also in the dust devils detection. To test our results, we compare the tomography with a phase picker time domain analysis. We show the level of agreement between the two methodologies and the advantages and disadvantages of the tomographic approach.


Institution
FACULDADE DE CIÊNCIAS DA UNIVERSIDADE DE LISBOA

Where published
Aeolian Research

Publication Identifiers
ISSN - 1875-9637

Publisher
Elsevier BV



Document Identifiers
DOI - https://doi.org/10.1016/j.aeolia.2017.09.005
URL - http://dx.doi.org/10.1016/j.aeolia.2017.09.005