Improved Dust Detection over East Asia Using Geostationary Satellite Data

نویسندگان

چکیده

Abstract This paper presents an improved algorithm, based on the D*-parameter, for dust detection over East Asian region using brightness temperature differences (BTDs) between infrared channels of Advanced Himawari Imager (AHI) onboard Himawari-8. The developed algorithm defines a index in form ratio BTDs: BTD 10.4 μm and 12.4 (BTD 10.4–12.4 ) to that 8.6 8.6–10.4 ). To identify with this index, threshold values were determined empirically. A masking technique was utilized mitigate problem detecting clear-sky deserts fog ocean as dust. analyzed dust, desert, cases during 2017 2018 method. Fog desert distinguished by criteria > −1.1 K −1 K, respectively. Based these thresholds, influence filtered out. results showed area qualitatively consistent RGB images ground observation data. Comparison AERONET aerosol optical depth (AOD) demonstrated D*-parameter exponentially proportional AOD, correlation coefficient them approximately 0.6. Dust can be applied monitoring dispersion movement also serve quantitative indicator Dust.

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ژورنال

عنوان ژورنال: Asia-pacific Journal of Atmospheric Sciences

سال: 2021

ISSN: ['1976-7633', '1976-7951']

DOI: https://doi.org/10.1007/s13143-021-00230-9