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dc.contributor.authorStatella, T.
dc.contributor.authorPina, P.
dc.contributor.authorSilva, E. A. [UNESP]
dc.contributor.authorNervis Frigeri, Ary Vinicius
dc.contributor.authorGallon Neto, Frederico
dc.date.accessioned2018-11-26T15:31:26Z
dc.date.available2018-11-26T15:31:26Z
dc.date.issued2016-10-15
dc.identifierhttp://dx.doi.org/10.1016/j.pss.2016.07.004
dc.identifier.citationPlanetary And Space Science. Oxford: Pergamon-elsevier Science Ltd, v. 131, p. 60-69, 2016.
dc.identifier.issn0032-0633
dc.identifier.urihttp://hdl.handle.net/11449/159116
dc.description.abstractWe have calculated the prevailing dust devil tracks direction as a means of verifying the Mars Climate Database (MCD) predicted wind directions accuracy. For that purpose we have applied an automatic method based on morphological openings for inferring the prevailing tracks direction in a dataset comprising 200 Mars Orbiter Camera (MOC) Narrow Angle (NA) and High Resolution Imaging Science Experiment (HiRISE) images of the Martian surface, depicting regions in the Aeolis, Eridania, Noachis, Argyre and Hellas quadrangles. The prevailing local wind directions were calculated from the MCD predicted speeds for the WE and SN wind components. The results showed that the MCD may not be able to predict accurately the locally dominant wind direction near the surface. In adittion, we confirm that the surface wind stress alone cannot produce dust lifting in the studied sites, since it never exceeds the threshold value of 0.0225 Nm(-2) in the MCD. (C) 2016 Elsevier Ltd. All rights reserved.en
dc.format.extent60-69
dc.language.isoeng
dc.publisherElsevier B.V.
dc.relation.ispartofPlanetary And Space Science
dc.sourceWeb of Science
dc.titleComparing wind directions inferred from Martian dust devil tracks analysis with those predicted by the Mars Climate Databaseen
dc.typeArtigo
dcterms.licensehttp://www.elsevier.com/about/open-access/open-access-policies/article-posting-policy
dcterms.rightsHolderElsevier B.V.
dc.contributor.institutionInst Fed Educ Ciencia & Tecnol Mato Grosso
dc.contributor.institutionUniv Lisbon
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.description.affiliationInst Fed Educ Ciencia & Tecnol Mato Grosso, 95 Zulmira Canavarro, BR-78002520 Cuiaba, Brazil
dc.description.affiliationUniv Lisbon, IST, CERENA, Ave Rovisco Pais 1049-001, Lisbon, Portugal
dc.description.affiliationUniv Estadual Paulista, FCT, 305 Roberto Simonsen, BR-19060900 Presidente Prudente, Brazil
dc.description.affiliationUnespUniv Estadual Paulista, FCT, 305 Roberto Simonsen, BR-19060900 Presidente Prudente, Brazil
dc.identifier.doi10.1016/j.pss.2016.07.004
dc.identifier.wosWOS:000384857200006
dc.rights.accessRightsAcesso aberto
dc.identifier.fileWOS000384857200006.pdf
dc.relation.ispartofsjr1,065
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