Asian dust weather categorization with satellite and surface observations

Tang Huang Lin, N. Christina Hsu, Si Chee Tsay, Shih Jen Huang

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

Abstract

This study categorizes various dust weather types by means of satellite remote sensing over central Asia. Airborne dust particles can be identified by satellite remote sensing because of the different optical properties exhibited by coarse and fine particles (i.e. varying particle sizes). If a correlation can be established between the retrieved aerosol optical properties and surface visibility, the intensity of dust weather can be more effectively and consistently discerned using satellite rather than surface observations. In this article, datasets consisting of collocated products from Moderate Resolution Imaging Spectroradiometer Aqua and surface measurements are analysed. The results indicate an exponential relationship between the surface visibility and the satellite-retrieved aerosol optical depth, which is subsequently used to categorize the dust weather. The satellite-derived spatial frequency distributions in the dust weather types are consistent with China's weather station reports during 2003, indicating that dust weather classification using satellite data is highly feasible. Although the period during the springtime from 2004 to 2007 may be not sufficient for statistical significance, our results reveal an increasing tendency in both intensity and frequency of dust weather over central Asia during this time period.

Original languageEnglish
Pages (from-to)153-170
Number of pages18
JournalInternational Journal of Remote Sensing
Volume32
Issue number1
DOIs
StatePublished - Jan 2011

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