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On the Detection and Monitoring of the Transport of an Asian Dust Storm Using Multi-Sensor Satellite Remote Sensing

Title
On the Detection and Monitoring of the Transport of an Asian Dust Storm Using Multi-Sensor Satellite Remote Sensing
Authors
El-Askary, H.Park, S. K.Ahn, M. H.Prasad, A.Kafatos, M.
Ewha Authors
박선기
SCOPUS Author ID
박선기scopus
Issue Date
2015
Journal Title
JOURNAL OF ENVIRONMENTAL INFORMATICS
ISSN
1726-2135JCR Link1684-8799JCR Link
Citation
vol. 25, no. 2, pp. 99 - 116
Keywords
Asian dust stormanthropogenic aerosolsaerosol optical depthAngstrom exponentmulti-sensor satellite remote sensing
Publisher
INT SOC ENVIRON INFORM SCI
Indexed
SCIE; SCOPUS WOS scopus
Abstract
Dynamical and physical features of a long range transported dust event originating in China affecting Korea early March 2008 are examined using an integrative multi-sensor and multi-algorithm approach. Aerosol loadings and their size mode were analyzed over both ocean and land surfaces using the Moderate Resolution Imaging Spectroradiometer (MODIS) aerosol optical depth (AOD), employing standard dark target (DT) and deep blue (DB) algorithms, and the Angstrom exponent (AE). Anthropogenic absorbing aerosols and smoke were found to be significant over the Indochina Peninsula, the Philippines and southern China, while a mixture of dust and pollution were predominant over central to northern China, as identified by the AE analysis and the Multi-angle Imaging SpectroRadiometer (MISR) spherecitiy and plume height. Remarkable aerosol absorptions in both the near ultraviolet (UV) and the visible were spread over central, central western and northern China, probably due to aerosol mixtures including desert dust and industrial pollution as well as smoke from biomass burning as evidenced from the Ozone Monitoring Instrument (OMI). Long range transport is validated as dust storm reached up to 4-5 km vertically and a mixed cloud layer was identified over the Yellow Sea as disclosed by the vertical structure of dust aerosols as well as observed aerosols subtypes from Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO). The real time detection and monitoring of the dust outbreak and its subsequent evolution are available through the infrared optical depth index (IODI), developed from the MTSAT-1R geostationary satellite imager.
DOI
10.3808/jei.201500306
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엘텍공과대학 > 환경공학전공 > Journal papers
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