Abstract
This paper evaluates the use of the ‘Dust red/green/blue (RGB)’ product derived from Spinning Enhanced Visible and Infrared Imager (SEVIRI) data at 15-min, 30-min, and 60-min temporal resolutions, for monitoring dust emissions in the Middle East. From January 2006 to December 2006, observations of dust emission point sources were recorded at each temporal resolution across the Middle East. Previous work has demonstrated that using SEVIRI data is a major improvement on other remote sensing methods for mapping dust sources in the Sahara, by enabling dust-storm observations through sequential images, back to the point of first emission. However, the highest temporal resolution available (15-min observations) produces 96 images per day, resulting in significantly higher data management requirements than data provided at 30-min and 60-min intervals. To optimize future research workflows, this paper investigates the effect of lowering the temporal resolution on the number and spatial distribution of observed dust emission events in the Middle East. The results show that the number of events observed reduced by 17% for 30-min resolution and 50% for 60-min resolution. These differences change seasonally, with the highest reduction observed in summer (34% and 64% reduction, respectively).
Highlights
Satellite-derived data are widely used for the detection of dust in the atmosphere
The probability of downwind sources being obscured by upwind-derived dust plumes is increased in these regions, where multiple dust sources regularly emit in close proximity
This paper has examined the effect of different temporal resolutions of Spinning Enhanced Visible and Infrared Imager (SEVIRI) ‘Dust RGB’ observations on the number and spatial distribution of observed dust emission events in the Middle East
Summary
Satellite-derived data are widely used for the detection of dust in the atmosphere. Accurate simulation of transportation routes requires knowledge of the location of dust sources. Accurate knowledge of location of dust sources is required to improve land management in the regions where dust sources are activated by human activities such as the abandonment of agricultural fields during droughts, overgrazing, and fires resulting from biomass burning [9]. It is, important to gain accurate knowledge of dust sources, their location, emission frequency, and how they respond to climate variability [10]
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