@inproceedings{285aaf4a49e242b8b45ac327fb7a3fe3,
title = "Meteorology of the Red Planet by dust devils",
abstract = "Many dust devils were detected by high resolution camera images on the surface of mars, that is remarkably similar in arid regions on Earth. The dust devils result from sunshine warming the ground, prompting convective rising of air. The hot air rises and begins to spin faster and faster as it compresses. The dust devils may serve a major role in the meteorology of the Red Planet. However, the derive scaling relations between dust devil radius, pressure profiles, wind speeds, and heights have remained unclear. In this work, we test a dust devil theoretical model that identify a relationship between these parameters. To do this, we used data which provides diameters and heights at different seasons. We extended the theoretical model by proposing an equation that estimate the eyewall velocity from a dust devil's height.",
keywords = "Dust Devils, Mars, Meteorology. and Mars Activity Database, Remote Sensing",
author = "Howari, \{Fares M.\} and Salem, \{Imen Ben\} and Manish Sharma and Cijo Xavier and Yousef Nazzal and Fatima Alaydaroos",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering, CSDE 2020 ; Conference date: 16-12-2020 Through 18-12-2020",
year = "2020",
month = dec,
day = "16",
doi = "10.1109/CSDE50874.2020.9411632",
language = "English",
series = "2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering, CSDE 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering, CSDE 2020",
address = "United States",
}