17:15 〜 18:45
[ACG36-P06] Enhancement of GK-2A Satellite Dust Retrieval Algorithm in Thermal Infrared Using Observation-Based Mineral Composition
キーワード：GK-2A Satellite, Dust Retrieval Algorithm, Thermal Infrared, optical Properties of Asian Dust
Dust storms frequently impact extensive areas of Korea, especially in the spring, leading to a notable rise in atmospheric dust particle concentrations. Satellite observation serves as a valuable method for analyzing the characteristics of these widespread dust storms. Nevertheless, the lack of precise data regarding the chemical makeup of the dust introduces significant uncertainties into the assessment of the radiation field at the top of the atmosphere (TOA). GEO-KOMPSAT-2A (GK-2A) is a South Korean geostationary satellite for the meteorological and the space weather monitoring mission. It has been equipped with AMI (Advanced Meteorological Imager) and KSEM (Korean Space Environment Monitor) payloads. In this study, we calculated the refractive index, one of the most important parameters to determine dust optical properties in thermal infrared using typical Asian Dust chemical composition obtained from 14 Asian dust events including 25 samples. Particle size distribution was estimated according to the 7-year AERONET data for dusty days declared according to Korean Meteorological Administration (KMA). using LibRadtran (library of radiative transfer) model, the optical properties calculated for Asian dust sampled in Korean peninsula and making Look-Up Table (LUT) to apply brightness temperature difference (BTD) of some thermal infrared window channels (8.6, 10.4, 11.2, 12.3 micrometer) to detect dust and a comparison between new and currently used algorithm by GK-2A satellite to validate the performance. It is predicted that using real-world datasets instead of ideal meteorological data will improve the dust retrieval results.