Articles | Volume 14, issue 2
Atmos. Meas. Tech., 14, 1615–1634, 2021
Atmos. Meas. Tech., 14, 1615–1634, 2021
Research article
01 Mar 2021
Research article | 01 Mar 2021

Satellite imagery and products of the 16–17 February 2020 Saharan Air Layer dust event over the eastern Atlantic: impacts of water vapor on dust detection and morphology

Lewis Grasso et al.

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A Tale of Two Dust Storms: analysis of a complex dust event in the Middle East
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Revised manuscript not accepted
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Cited articles

Ackerman, S. A.: Using the radiative temperature difference at 3.7 and 11 µm to tract dust outbreaks, Remote Sens. Environ., 27, 129–133,, 1989. 
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Adams, A. M., Prospero, J. M., and Zhang, C.: CALIPSO-Derived three-dimensional structure of aerosol over the atlantic basin and adjacent continents, J. Climate, 25, 6862–6879,, 2012. 
Ahmadov, R., Grell, G., James, E., Csiszar, I., Tsidulko, M., Pierce, B., McKeen, S., Benjamin, S., Alexander, C., Pereira, G., Freitas, S., and Goldberg, M.: Using VIIRS Fire Radiative Power data to simulate biomass burning emissions, plume rise and smoke transport in a real-time air quality modeling system, in: Int. Geosci. Remote Se., Fort Worth, TX, 23–28 July 2017, 2806–2808, 2017. 
Ashpole, I. and Washington, R.: An automated dust detection using SEVIRI: A multiyear climatology of summertime dustiness in the central and western Sahara, J. Geophys. Res., 117, D08202,, 2012. 
Short summary
This study uses geostationary imagery to detect dust. This research was done to demonstrate the ability of dust detection over ocean surfaces in a dry atmosphere.