Asian Dust Detection from Satellite Imagers
Aerosols, including those with large spatial and temporal variability, such as dust, exert large influences on climate, weather, air quality, hydrological cycles, and ecosystems. Detection of these highly variable aerosols is challenging because of their episodic features, such as short lifetime, multi-scales, and strong interactions with local and regional surface and meteorological conditions. Since dust particles can directly alter solar and earth radiation in both visible and infrared (IR) spectral regions through scattering and absorption processes, both visible and IR remote sensing techniques can be used for detection of dust in the atmosphere1. In this paper, we introduce an algorithm for detecting episodic dust storms from satellite imagers considering dust particles display some spectral variations in visible and IR spectral regions different from those of cloud and underlying surface. The detection is based on the analysis of reflectance (or radiance) in visible bands or brightness temperature (BT) in IR bands. The magnitude of the difference in reflectance and/or BTs in selected bands (or channels) is used to infer the signature of dust2,3 . Detailed descriptions of the algorithm and its application for Asian dust detection from the MODIS satellite measurements are provided.
Aerosol Asian Dust Satellite
Xuepeng Zhao
National Climate Data Center,NOAA/NESDIS,151 Patton Ave.,Asheville,NC,28801,USA
国际会议
西安
英文
377-385
2011-08-17（万方平台首次上网日期，不代表论文的发表时间）