BIBLIOS

Tipo
Artigos em Revista

Tipo de Documento
Artigo Completo

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

Participantes na publicação
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)

Resumo
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.


Instituição
FACULDADE DE CIÊNCIAS DA UNIVERSIDADE DE LISBOA

Suporte
Aeolian Research

Identificadores da Publicação
ISSN - 1875-9637

Editora
Elsevier BV



Identificadores do Documento
DOI - https://doi.org/10.1016/j.aeolia.2017.09.005
URL - http://dx.doi.org/10.1016/j.aeolia.2017.09.005